[Elenco soci]

Moos Sandro

Professore Associato

Politecnico di Torino

Sito istituzionale
SCOPUS ID: 25723603200
Orcid: 0000-0001-5097-7344

Pubblicazioni scientifiche

[1] Castiblanco Jimenez I.A., Marcolin F., Ulrich L., Moos S., Vezzetti E., Tornincasa S., Interpreting Emotions with EEG: An Experimental Study with Chromatic Variation in VR, Lecture Notes in Mechanical Engineering, 318-329, (2023). Abstract

Abstract: Developing great products is not simple; users want products that can constantly adjust to their needs. The product development process should consider not only the users’ requirements and wishes but also their perceptions and emotions during and after the human-product interaction. Traditional studies have used self-report methods to study the users’ emotions; however, technological advances are making other methods able to measure respondents’ behavior. Electroencephalography (EEG), a technique for recording and interpreting the brain’s electrical activity, is becoming a valid tool to assess users’ emotional states. This study aims to explore the EEG as a method to interpret emotions. To do this, we created three different VR scenarios characterized by different interior design and automatic chromatic variations as a stimulus; this research aims to analyze if the changes in colors and scenarios reflect on the participants’ emotional responses, specifically on Valence, Arousal, and Engagement. The findings show that EEG results are a valid aid to emotion interpretation; also that color variation might influence users’ emotions and that the emotional responses were more evident when changing between scenarios. We expect this study can provide more information regarding the potential of physiological methods to explore users’ emotions during the product design and development.

Keywords: EEG | Emotional design | Engagement | Product development

[2] Innocente C., Piazzolla P., Ulrich L., Moos S., Tornincasa S., Vezzetti E., Mixed Reality-Based Support for Total Hip Arthroplasty Assessment, Lecture Notes in Mechanical Engineering, 159-169, (2023). Abstract

Abstract: The evaluation of hip implantation success remains one of the most relevant problems in orthopaedics. There are several factors that can cause its failure, e.g.: aseptic loosening and dislocations of the prosthetic joint due to implant impingement. Following a total hip arthroplasty, it is fundamental that the orthopaedist can evaluate which may be the possible risk factors that would lead to dislocation, or in the worst cases, to implant failure. A procedure has been carried out with the aim of evaluating the Range of Movement (ROM) of the implanted prosthesis, to predict whether the inserted implant is correctly positioned or will be prone to dislocation or material wear due to the malposition of its components. Leveraging on a previous patented methodology that consists in the 3D reconstruction and movement simulation of the hip joint, this work aims to provide a more effective visualization of the simulation results through Mixed Reality (MR). The use of MR for the representation of hip kinematics and implant position can provide the orthopaedic surgeon with a deeper understanding of the orientation and position of implanted components, as well as the consequences of such placements while looking directly at the patient. To this end, an anchoring system based on a body-tracking recognition library was developed, so that both completely automatic and human-assisted options are available without additional markers or sensors. An Augmented Reality (AR) prototype has been developed in Unity 3D and used on HoloLens 2, integrating the implemented human-assisted anchoring system option.

Keywords: Computer-aided surgery | HoloLens 2 | Mixed reality | THA assessment | Total hip arthroplasty

[3] Padovan E., Marullo G., Tanzi L., Piazzolla P., Moos S., Porpiglia F., Vezzetti E., A deep learning framework for real-time 3D model registration in robot-assisted laparoscopic surgery, International Journal of Medical Robotics and Computer Assisted Surgery, 18(3), (2022). Abstract

Abstract: Introduction: The current study presents a deep learning framework to determine, in real-time, position and rotation of a target organ from an endoscopic video. These inferred data are used to overlay the 3D model of patient's organ over its real counterpart. The resulting augmented video flow is streamed back to the surgeon as a support during laparoscopic robot-assisted procedures. Methods: This framework exploits semantic segmentation and, thereafter, two techniques, based on Convolutional Neural Networks and motion analysis, were used to infer the rotation. Results: The segmentation shows optimal accuracies, with a mean IoU score greater than 80% in all tests. Different performance levels are obtained for rotation, depending on the surgical procedure. Discussion: Even if the presented methodology has various degrees of precision depending on the testing scenario, this work sets the first step for the adoption of deep learning and augmented reality to generalise the automatic registration process.

Keywords: abdominal | Kidney | prostate

[4] Innocente C., Ulrich L., Moos S., Vezzetti E., Augmented Reality: Mapping Methods and Tools for Enhancing the Human Role in Healthcare HMI, Applied Sciences (Switzerland), 12(9), (2022). Abstract

Abstract: Background: Augmented Reality (AR) represents an innovative technology to improve data visualization and strengthen the human perception. Among Human–Machine Interaction (HMI), medicine can benefit most from the adoption of these digital technologies. In this perspective, the literature on orthopedic surgery techniques based on AR was evaluated, focusing on identifying the limitations and challenges of AR-based healthcare applications, to support the research and the development of further studies. Methods: Studies published from January 2018 to December 2021 were analyzed after a comprehensive search on PubMed, Google Scholar, Scopus, IEEE Xplore, Science Direct, and Wiley Online Library databases. In order to improve the review reporting, the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines were used. Results: Authors selected sixty-two articles meeting the inclusion criteria, which were categorized according to the purpose of the study (intraoperative, training, rehabilitation) and according to the surgical procedure used. Conclusions: AR has the potential to improve orthopedic training and practice by providing an increasingly human-centered clinical approach. Further research can be addressed by this review to cover problems related to hardware limitations, lack of accurate registration and tracking systems, and absence of security protocols.

Keywords: augmented reality | digital health | HoloLens | Human–Computer Interaction (HCI) | Human–Machine Interaction (HMI) | intraoperative | medical training | mixed reality | rehabilitation

[5] Ulrich L., Nonis F., Vezzetti E., Moos S., Caruso G., Shi Y., Marcolin F., Can adas distract driver’s attention? An rgb-d camera and deep learning-based analysis, Applied Sciences (Switzerland), 11(24), (2021). Abstract

Abstract: Driver inattention is the primary cause of vehicle accidents; hence, manufacturers have introduced systems to support the driver and improve safety; nonetheless, advanced driver assistance systems (ADAS) must be properly designed not to become a potential source of distraction for the driver due to the provided feedback. In the present study, an experiment involving auditory and haptic ADAS has been conducted involving 11 participants, whose attention has been monitored during their driving experience. An RGB-D camera has been used to acquire the drivers’ face data. Subsequently, these images have been analyzed using a deep learning-based approach, i.e., a convolutional neural network (CNN) specifically trained to perform facial expression recognition (FER). Analyses to assess possible relationships between these results and both ADAS activations and event occurrences, i.e., accidents, have been carried out. A correlation between attention and accidents emerged, whilst facial expressions and ADAS activations resulted to be not correlated, thus no evidence that the designed ADAS are a possible source of distraction has been found. In addition to the experimental results, the proposed approach has proved to be an effective tool to monitor the driver through the usage of non-invasive techniques.

Keywords: ADAS | CNN | DADA | Deep learning | Driver’s attention | RGB-D camera

[6] Carpinello A., Vezzetti E., Ramieri G., Moos S., Novaresio A., Zavattero E., Borbon C., Evaluation of HMDS by QFD for augmented reality applications in the maxillofacial surgery domain, Applied Sciences (Switzerland), 11(22), (2021). Abstract

Abstract: Today, surgical operations are less invasive than they were a few decades ago and, in medicine, there is a growing trend towards precision surgery. Among many technological advancements, augmented reality (AR) can be a powerful tool for improving the surgery practice through its ability to superimpose the 3D geometrical information of the pre-planned operation over the surgical field as well as medical and instrumental information gathered from operating room equipment. AR is fundamental to reach new standards in maxillofacial surgery. The surgeons will be able to not shift their focus from the patients while looking to the monitors. Osteotomies will not require physical tools to be fixed on patient bones as guides to make resections. Handling grafts and 3D models directly in the operating room will permit a fine tuning of the procedure before harvesting the implant. This article aims to study the application of AR head-mounted displays (HMD) in three operative scenarios (oncological and reconstructive surgery, orthognathic surgery, and maxillofacial trauma surgery) by the means of quantitative logic using the Quality Function Deployment (QFD) tool to determine their requirements. The article provides an evaluation of the readiness degree of HMD currently on market and highlights the lacking features.

Keywords: Computer-assisted surgery | Head mounted display | Maxillofacial surgery | Precision medicine | Quality function deployment

[7] Castiblanco Jimenez I.A., Mauro S., Napoli D., Marcolin F., Vezzetti E., Rojas Torres M.C., Specchia S., Moos S., Design thinking as a framework for the design of a sustainable waste sterilization system: The case of piedmont region, italy, Electronics (Switzerland), 10(21), (2021). Abstract

Abstract: The development of new methods for the correct disposal of waste is unavoidable for any city that aims to become eco-friendly. Waste management is no exception. In the modern era, the treatment and disposal of infectious waste should be seen as an opportunity to generate renewable energy, resource efficiency, and, above all, to improve the population's quality of life. Northern Italy currently produces 66,600 tons/year of infectious waste, mostly treated through incineration plants. This research aims to explore a more ecological and sustainable solution, thereby contributing one more step toward achieving better cities for all. Particularly, this paper presents a conceptual design of the main sterilization chamber for infectious waste. The methodology selected was Design Thinking (DT), since it has a user-centered approach which allows for co-design and the inclusion of the target population. This study demonstrates to the possibility of obtaining feasible results based on the user's needs through the application of DT as a framework for engineering design.

Keywords: Design thinking | Eco-friendly city | Infectious waste | Resource efficiency | Sustainability | Waste management

[8] Olivetti E.C., Marcolin F., Moos S., Ferrando A., Vezzetti E., Autorino U., Borbon C., Zavattero E., Gerbino G., Ramieri G., Three-dimensional evaluation of soft tissue malar modifications after zygomatic valgization osteotomy via geometrical descriptors, Journal of Personalized Medicine, 11(3), (2021). Abstract

Abstract: Patients with severe facial deformities present serious dysfunctionalities along with an unsatisfactory aesthetic facial appearance. Several methods have been proposed to specifically plan the interventions on the patient’s needs, but none of these seem to achieve a sufficient level of accuracy in predicting the resulting facial appearance. In this context, a deep knowledge of what occurs in the face after bony movements in specific surgeries would give the possibility to develop more reliable systems. This study aims to propose a novel 3D approach for the evaluation of soft tissue zygomatic modifications after zygomatic osteotomy; geometrical descriptors usually involved in face analysis tasks, i.e., face recognition and facial expression recognition, are here applied to soft tissue malar region to detect changes in surface shape. As ground truth for zygomatic changes, a zygomatic openness angular measure is adopted. The results show a high sensibility of geometrical descriptors in detecting shape modification of the facial surface, outperforming the results obtained from the angular evaluation.

Keywords: 3D face analysis | Geometrical descriptors | Malar augmentation | Orthognathic surgery | Soft tissue prediction | Zygomatic osteotomy

[9] Lunetto V., Catalano A.R., Priarone P.C., Salmi A., Atzeni E., Moos S., Iuliano L., Settineri L., Additive manufacturing for an urban vehicle prototype: Re-design and sustainability implications, Procedia CIRP, 99, 364-369, (2021). Abstract

Abstract: Additive Manufacturing (AM), allowing the layer-by-layer fabrication of products characterized by a shape complexity unobtainable with conventional manufacturing routes, has been widely recognized as a disruptive technology enabling the transition to the Industry 4.0. In this context, the design of a Portable Assisted Mobile Device (PAMD) prototype was considered as a case study. The best practices of the re-design for AM were applied to three of the main structural components, and the most sustainable manufacturing approach between AM processes and the conventional ones was identified with respect to cumulative energy demand, carbon dioxide emissions and costs. The paper aims to promote the debate concerning the correlation between design choices, process selection and sustainable product development.

Keywords: Cost assessment | Design for Additive Manufacturing | Energy efficiency | Portable Assisted Mobile Device (PAMD)

[10] Ulrich L., Vezzetti E., Moos S., Marcolin F., Analysis of RGB-D camera technologies for supporting different facial usage scenarios, Multimedia Tools and Applications, 79(39-40), 29375-29398, (2020). Abstract

Abstract: Recently a wide variety of applications has been developed integrating 3D functionalities. Advantages given by the possibility of relying on depth information allows the developers to design new algorithms and to improve the existing ones. In particular, for what concerns face morphology, 3D has led to the possibility to obtain face depth maps highly close to reality and consequently an improvement of the starting point for further analysis such as Face Detection, Face Authentication, Face Identification and Face Expression Recognition. The development of the aforementioned applications would have been impossible without the progress of sensor technologies for obtaining 3D information. Several solutions have been adopted over time. In this paper, emphasis is put on passive stereoscopy, structured light, time-of-flight (ToF) and active stereoscopy, namely the most used technologies for the cameras design and fulfilment according to the literature. The aim of this article is to investigate facial applications and to examine 3D camera technologies to suggest some guidelines for addressing the correct choice of a 3D sensor according to the application that has to be developed.

Keywords: 3D cameras | 3D face analysis | Sensors | Stereoscopy | Structured light | ToF

[11] Violante M.G., Moos S., Vezzetti E., A methodology for supporting the design of a learning outcomes-based formative assessment: the engineering drawing case study, European Journal of Engineering Education, 45(2), 305-327, (2020). Abstract

Abstract: This paper presents a learning outcomes-based methodology to produce a summative assessment to use in any course at any educational level. It takes into consideration the European Qualifications Framework (EQF) to define the learning outcomes, Bloom’s taxonomy to define the assessment questions and the QR code to help managing large class size. The methodology has been applied in a case study regarding the technical drawing course of the BSc Engineering programme at the Faculty of Engineering in Italy. In general, the implementation of the new assessment, during the two academic years of analysis, has shown good results in terms of reduction of failures (7% in the first year and 3.9% in the second year), improvement of the weighted average mark (4.6%), reduction of the minimum mark obtained (8.1%), increase of the maximum mark obtained (3.1%) and time reduction of 48% to upload marks to the electronic register.

Keywords: assessment questions | Bloom’s taxonomy | engineering education | European Qualifications Framework (EQF) | technical drawing

[12] Tanzi L., Vezzetti E., Moreno R., Moos S., X-Ray bone fracture classification using deep learning: A baseline for designing a reliable approach, Applied Sciences (Switzerland), 10(4), (2020). Abstract

Abstract: In recent years, bone fracture detection and classification has been a widely discussed topic and many researchers have proposed different methods to tackle this problem. Despite this, a universal approach able to classify all the fractures in the human body has not yet been defined. We aim to analyze and evaluate a selection of papers, chosen according to their representative approach, where the authors applied different deep learning techniques to classify bone fractures, in order to select the strengths of each of them and try to delineate a generalized strategy. Each study is summarized and evaluated using a radar graph with six values: area under the curve (AUC), test accuracy, sensitivity, specificity, dataset size and labelling reliability. Plus, we defined the key points which should be taken into account when trying to accomplish this purpose and we compared each study with our baseline. In recent years, deep learning and, in particular, the convolution neural network (CNN), has achieved results comparable to those of humans in bone fracture classification. Adopting a correct generalization, we are reasonably sure that a computer-aided diagnosis (CAD) system, correctly designed to assist doctors, would save a considerable amount of time and would limit the number of wrong diagnoses.

Keywords: Bone fracture | CAD system | Deep learning | Neural network | Orthopedics | X-ray

[13] Gribaudo M., Moos S., Piazzolla P., Porpiglia F., Vezzetti E., Violante M.G., Enhancing Spatial Navigation in Robot-Assisted Surgery: An Application, Lecture Notes in Mechanical Engineering, 95-105, (2020). Abstract

Abstract: Robot-assisted radical prostatectomy (RARP) has become a standardized practice in contemporary prostate cancer surgical procedures. Nowadays, the use of tailored surgical procedures in urologic surgery aims to maximize treatment efficacy while minimizing its impact on patient functions and health-related quality-of-life parameters. Augmented reality (AR) technology appears as a significant development in Image Guided Surgery (IGS) integrating surgical navigation with 3D virtual organ models registered on to the real patient’s anatomy. In particular, AR provides surgeons the ability to see through solid objects; as such, it has been exploited in different surgical specialties. In this paper, we present the development of a software system augmenting the spatial navigation of the surgical environment allowed by surgical robots. The application is able to visualize the 3D virtual model of the organ (prostate and kidneys) targeted by the surgical procedure, overlay it over its real counterpart, as captured by the endoscope camera, using of registration and tracking techniques in real time, and stream the augmentation to the surgeon.

Keywords: Augmented reality (AR) | Image Guided Surgery (IGS) | Minimally invasive surgery (MIS) | Robotic surgery

[14] Nonis F., Olivetti E.C., Marcolin F., Violante M.G., Vezzetti E., Moos S., Questionnaires or inner feelings: Who Measures The Engagement Better?, Applied Sciences (Switzerland), 10(2), (2020). Abstract

Abstract: This work proposes an innovative method for evaluating usersâ™ engagement, combining the User Engagement Scale (UES) questionnaire and a facial expression recognition (FER) system, active research topics of increasing interest in the humanâ"computer interaction domain (HCI). The subject of the study is a 3D simulator that reproduces a virtual FabLab in which users can approach and learn 3D modeling software and 3D printing. During the interaction with the virtual environment, a structured-light camera acquires the face of the participant in real-time, to catch its spontaneous reactions and compare them with the answers to the UES closed-ended questions. FER methods allow overcoming some intrinsic limits in the adoption of questioning methods, such as the non-sincerity of the interviewees and the lack of correspondence with facial expressions and body language. A convolutional neural network (CNN) has been trained on the Bosphorus database (DB) to perform expression recognition and the classification of the video frames in three classes of engagement (deactivation, average activation, and activation) according to the model of emotion developed by Russell. The results show that the two methodologies can be integrated to evaluate user engagement, to combine weighted answers and spontaneous reactions and to increase knowledge for the design of the new product or service.

Keywords: 3D simulator | CNN | Deep learning | Facial expression recognition | Human-computer interaction | User engagement scale | User-centered design

[15] Ulrich L., Dugelay J.L., Vezzetti E., Moos S., Marcolin F., Perspective morphometric criteria for facial beauty and proportion assessment, Applied Sciences (Switzerland), 10(1), (2020). Abstract

Abstract: Common sense usually considers the assessment of female human attractiveness to be subjective. Nevertheless, in the past decades, several studies and experiments showed that an objective component in beauty assessment exists and can be strictly related, even if it does not match, with proportions of features. Proportions can be studied through analysis of the face, which relies on landmarks, i.e., specific points on the facial surface, which are shared by everyone, and measurements between them. In this work, several measures have been gathered from studies in the literature considering datasets of beautiful women to build a set of measures that can be defined as suggestive of female attractiveness. The resulting set consists of 29 measures applied to a public dataset, the Bosphorus database, whose faces have been both analyzed by the developed methodology based on the expanded set of measures and judged by human observers. Results show that the set of chosen measures is significant in terms of attractiveness evaluation, confirming the key role of proportions in beauty assessment; furthermore, the sorting of identified measures has been performed to identify the most significant canons involved in the evaluation.

Keywords: 3D landmarks | Attractiveness | Face analysis | Face proportions | Features extraction

[16] Violante M.G., Marcolin F., Vezzetti E., Nonis F., Moos S., Emotional design and virtual reality in product lifecycle management (PLM), Smart Innovation, Systems and Technologies, 155, 177-187, (2019). Abstract

Abstract: As the potentials of technology grow, the embedding of IT advances in different fields and applications increases. A recent example is virtual reality and in particular the virtual product. The possibility of having a product in a virtual form allows creators and designers to efficiently manage the cycle of a product generation and evolution. The key advantage of the “virtual” is to have the product in advance, even in the conceptualization phase, with clear benefits in terms of consumptions of resources and, hence, sustainability. A potential customer could thus interact with a product-to-be and provide feedback about its look and feel, its usability, and, most of all, give an emotional response. In this context, the interaction between the virtual product and the future customer becomes a core point for the new approaches related to user-centred and user experience design, giving birth to a design methodology called “emotional design”. In particular, the study of facial expressions seems to be the more reliable and attractive aspect of it.

Keywords: 3D | Concept design | Emotional design | Facial expression recognition | PLM | Virtual reality

[17] Ulrich L., Baldassarre F., Marcolin F., Moos S., Tornincasa S., Vezzetti E., Speranza D., Ramieri G., Zavattero E., A procedure for cutting guides design in maxillofacial surgery: A case-study, Lecture Notes in Mechanical Engineering, 301-310, (2019). Abstract

Abstract: Surgical interventions for jaw reconstruction require the design and the production of surgical guides that allow the surgeon to operate quickly and accurately. In some cases, the reconstruction is performed by inserting a prothesis, thus operating exclusively on the jaw, while in other cases the reconstruction is performed by withdrawing and inserting part of the fibula in place of the original jaw bone. This project aims to develop a procedure that allows 3D modeling of the surgical guides necessary for surgical intervention. The idea is to find a surgical guide archetype, a starting shape for the surgeon so that the cutting planes can be oriented without the surgical guide having to be redesigned from scratch for every single patient. The first step of the procedure is the segmentation, performed applying the thresholding operation on the images provided by magnetic resonance MR in order to identify the region of interest (ROI). The second step is the reconstruction of the 3D model, so that a mesh is obtained from 2D images. Subsequently the mesh is post-processed and the cutting plans along which the surgeon will intervene are defined.

Keywords: 3D modeling | 3D reconstruction | Maxillofacial surgery | Surgical guides

[18] Tornincasa S., Vezzetti E., Moos S., Violante M.G., Marcolin F., Dagnes N., Ulrich L., Tregnaghi G.F., 3D facial action units and expression recognition using a crisp logic, Computer-Aided Design and Applications, 16(2), 256-268, (2019). Abstract

Abstract: This work proposes a method for recognizing the main 13 Facial Action Units and the 6 basic emotions. The methodologies rely on Differential Geometry to extract relevant discriminant features from the query faces, and on some linear quantities used as measures: Euclidean, geodesic, and angles between 17 automatically extracted soft-tissue landmarks. A thresholding system which evaluates local properties of connected regions, selected through tailored geometrical descriptors, supports the identification of the AUs. Then, a technique based on crisp logic allows the identification of the global expression. The three-dimensional context has been preferred due to its invariance to different lightening/make-up/camouflage conditions.

Keywords: Emotional design | Face expression recognition | Intelligent drive

[19] Moos S., Marcolin F., Tornincasa S., Vezzetti E., Violante M.G., Fracastoro G., Speranza D., Padula F., Cleft lip pathology diagnosis and foetal landmark extraction via 3D geometrical analysis, International Journal on Interactive Design and Manufacturing, 11(1), 1-18, (2017). Abstract

Abstract: This work proposes a methodology to automatically diagnose and formalize prenatal cleft lip with representative key points and identify the type of defect (unilateral, bilateral, right, or left) in three-dimensional ultrasonography (3D US). Differential Geometry has been used as a framework for describing facial shapes and curvatures. Then, descriptors coming from this field are employed for identifying the typical key points of the defect and its dimensions. The descriptive accurateness of these descriptors has allowed us to automatically extract reference points, quantitative distances, labial profiles, and to provide information about facial asymmetry. Seventeen foetal faces, nine of healthy foetuses and eight with different types of cleft lips, have been obtained through a Voluson system and used for testing the algorithm. In case no defect is present, the algorithm detects thirteen standard facial soft-tissue landmarks. This would help ultrasonographists and future mothers in identifying the most salient points of the forthcoming baby. This algorithm has been designed to support practitioners in identifying and classifying cleft lips. The gained results have shown that differential geometry may be a valuable tool for describing faces and for diagnosis.

Keywords: 3D ultrasound | Cleft lip | Dysmorphisms | Landmarking | Syndrome diagnosis

[20] Marcolin F., Violante M.G., Moos S., Vezzetti E., Tornincasa S., Dagnes N., Speranza D., Three-dimensional face analysis via new geometrical descriptors, Lecture Notes in Mechanical Engineering, 0, 747-756, (2017). Abstract

Abstract: 3D face was recently investigated for various applications, including biometrics and diagnosis. Describing facial surface, i.e. how it bends and which kinds of patches is composed by, is the aim of studies in Face Analysis, whose ultimate goal is to identify which features could be extracted from three-dimensional faces depending on the application. In this study, we propose 54 novel geometrical descriptors for Face Analysis. They are generated by composing primary geometrical descriptors such as mean, Gaussian, principal curvatures, shape index, curvedness, and the coefficients of the fundamental forms. The new descriptors were mapped on 217 facial depth maps and analysed in terms of descriptiveness of facial shape and exploitability for localizing landmark points. Automatic landmark extraction stands as the final aim of this analysis. Results showed that the newly generated descriptors are suitable to 3D face description and to support landmark localization procedures.

Keywords: 3D Face | Face Analysis | Face Recognition | Geometry | Landmarks

[21] Vezzetti E., Tornincasa S., Marcolin F., Moos S., Violante M.G., Vicente D.B., Speranza D., Padula F., 3D human face analysis: Automatic expression recognition, Proceedings of the 12th IASTED International Conference on Biomedical Engineering, BioMed 2016, 24-30, (2016). Abstract

Abstract: A 3D automatic facial expression recognition procedure is presented in this work. The method is based on point-by-point mapping of seventeen Differential Geometry descriptors onto the probe facial depth map, which is then partitioned into seventy-nine regions. Then, features such as mean, median, mode, volumes, histograms are computed for each region and for each descriptor, to reach a varied large set of parameters representing the query face. Each set of parameters, given by a geometrical descriptor, a region, and a feature, form a trio, whose featuring numerical values are compared with appropriate thresholds, set via experimentation in a previous phase by processing a limited portion of the public facial Bosphorus database. This allows the identification of the emotion-based expression of the query 3D face among the six basic ones (anger, disgust, fear, joy, sadness, surprise). The algorithm was tested on the Bosphorus database and is suitable for applications in security, marketing, medical. The three-dimensional context has been preferred due to its invariance to different lightening/make-up/camouflage conditions.

Keywords: 3D face | Differential geometry | Emotions | Face expression recognition (FER) | Facial expression recognition | Shape index

[22] Vezzetti E., Marcolin F., Tornincasa S., Moos S., Violante M.G., Dagnes N., Monno G., Uva A.E., Fiorentino M., Facial landmarks for forensic skull-based 3D face reconstruction: A literature review, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9768, 172-180, (2016). Abstract

Abstract: Recent Face Analysis advances have focused the attention on studying and formalizing 3D facial shape. Landmarks, i.e. typical points of the face, are perfectly suited to the purpose, as their position on visage shape allows to build up a map of each human being’s appearance. This turns to be extremely useful for a large variety of fields and related applications. In particular, the forensic context is taken into consideration in this study. This work is intended as a survey of current research advances in forensic science involving 3D facial landmarks. In particular, by selecting recent scientific contributions in this field, a literature review is proposed for in-depth analyzing which landmarks are adopted, and how, in this discipline. The main outcome concerns the identification of a leading research branch, which is landmark-based facial reconstruction from skull. The choice of selecting 3D contributions is driven by the idea that the most innovative Face Analysis research trends work on three-dimensional data, such as depth maps and meshes, with three-dimensional software and tools. The third dimension improves the accurateness and is robust to colour and lightning variations.

Keywords: 3D face | Fiducial point | Forensic | Landmarks | Reconstruction

[23] Vezzetti E., Alemanni M., Rotolo F., Violante M.G., Marcolin F., Moos S., Tornincasa S., Valfrè E., Integrating the Model Based Systems Engineering (MBSE) approach in a PLM platform for supporting data traceability in the aerospace domain, 1st IEEE International Symposium on Systems Engineering, ISSE 2015 - Proceedings, 2015-January, 98-103, (2015). Abstract

Abstract: Traditionally, the development of complex mechatronic products, such as products in aerospace or automotive domain, have employed a "document-based" Systems Engineering (SE) approach to perform the systems engineering activities. This approach is characterized by the generation of textual specifications and design documents that are used and exchanged between all project users. Today, innovative interdisciplinary product development requires a rethinking of current methods and IT solutions, employing an efficient Systems Engineering strategy. The goal is to move from a "documentbased" approach to a "model-based" approach that addresses all engineering disciplines. The "Model Based Systems Engineering (MBSE)" methodology is an approach that involves modeling for supporting system requirements definition and management, design, analysis, verification and validation activities. This approach provides a set of data and models that allows design teams to analyze the performances of the different product configurations in an early stage and to ensure product data traceability along the entire product lifecycle maintaining a structured relation between costumer requirements and all the product solution analyzed. At present a shared operative approached aimed at integrating MBSE in a Product Life Cycle Management scenario doesn't exist. For that reason, the paper outlines the key activities to deploy successfully a MBSE methodology, based on the Systems Modeling Language (SysML) within a PLM platform by the use of the Product Functional View.

Keywords: Model-Based Systems Engineering | Product Lifecycle Management | SysML | Systems engineering

[24] Moos S., Vezzetti E., Resistance spot welding process simulation for variational analysis on compliant assemblies, Journal of Manufacturing Systems, 37(1), 44-71, (2014). Abstract

Abstract: This work proposes a methodology that can be used to define a FEM simulation of the body welding process with the aim of evaluating compliant assembly deformations and spring-back, considering the effect of material plasticity, in order to improve the results of variational analysis methods, which so far have been based on a linear elastic material model. With reference to the automotive field, the simulation considers the effects of fixturing and resistance spot welding applied to sheet metal parts subjected to dimensional and geometrical tolerances.

Keywords: Compliant assembly | FEM | Plasticity | Resistance spot welding | Variational analysis

[25] Di Monaco F., Moos S., Tornincasa S., Vezzetti E., Guidelines for the design of tyre sensor housings, International Journal of Advanced Manufacturing Technology, 75(1-4), 573-597, (2014). Abstract

Abstract: The next generation of tyre sensors will be bonded directly onto the inner liner (IL) in order to measure important parameters such as strain, vehicle load, contact pressure, the tyre-road friction coefficient or wear. Sensor packages (SP) have a sensor node, which is bonded and kept in position by a specifically designed rubber housing (RH). Since the measurements they provide to the car control unit are used to improve the active or passive safety of vehicles, these packages can be considered critical safety components that should be dimensioned carefully. A tyre analysis, whether statical or dynamical, in which the complete structure is considered, under any load, inflating pressure or temperature working condition is mainly oriented towards defining the tyre product. The insertion of an SP inside such a complex tyre model, with the purpose of only analysing its behaviour, would be too time consuming considering the strong nonlinear behaviour of the tyre model. Therefore, this work presents a method that can be used to define a computationally lightweight finite element method (FEM) simulation, which is able to recreate the working conditions to which an SP is subjected. The basic idea behind this method is to separate the analysis of the SP from the structural tyre analyses; the latter is only run once, independently. The first task is to impose the deformed shape on a simplified model of the tyre with a bonded SP. All the deformation states that occur during rolling are computed in a static FEM simulation. The second task is to apply the inertial forces that act on the SP, whether computed or measured directly on the tyre, as external loads. These tasks are implemented in user-defined routines that are executed by the FEM solver. The method permits the stress concentration inside the RH material volume to be identified, at any angular position of the wheel. This information is then used, during the design process, to identify the most suitable geometry to level out the stress distribution. The resulting shape can be tested under different boundary conditions, by substituting the corresponding data arrays, but using the same FEM model. Since the deformed shapes and inertial forces are stored as simple text matrices (which are also used to form a test library), they can be easily interchanged in a flexible way. This more extended design process can reduce the costs of prototyping moulds. The proposed methodology has been developed and tested for the Pirelli Cyber TM Tyre project.

Keywords: FEM | Rubber house | Tyre sensor

[26] Moos S., Vezzetti E., An integrated strategy for variational analysis of compliant plastic assemblies on shell elements, International Journal of Advanced Manufacturing Technology, 69(1-4), 875-890, (2013). Abstract

Abstract: The variational analysis of a compliant assembly is influenced to a great extent by the plastic deformations of the parts, which are caused by the fixturing and the application of resistance spot welding to the flanges, which are mismatching because of tolerance effects. Spring-back of an assembly results to be very different when evaluated with an elastic material model and with a plastic model. The aim of this paper is to define the finite element analysis (FEA) methods that are necessary to transfer the complex interaction of the complete resistance spot welding process, which is best described by a coupled thermoelectrical-mechanical simulation with 3D solid elements, to a shell model. The entire welding process is simulated by considering the following steps: fixture closure on the parts, weldgun closure on the flanges, heating and cooling of the weld spots, release and measuring of the resulting assembly. The constraints corresponding to the datum point scheme are defined on the shell partitions, and a mesh offset is applied to the welding flange in order to simulate the geometry mismatch caused by the effects of the dimensional and geometrical tolerances. The methods developed to recreate the welding process conditions on a shell model are implemented in FEA runtime routines. The temperature distribution, previously exported from 3D thermal simulations, is loaded and imposed on the shell nodes of the welding partition during the heating and cooling phases, in order to make the material plastic and reduce the elastic energy available for spring-back. The weld caps that act against the part's flanges are defined with analytical rigid surfaces in order to avoid the necessity of explicitly modelling them in the FEA software. The contact between the welding flanges is redefined to lock the nodes that surpass the melting temperature. The methods were tested on the shell model of a butt joint. The thus obtained deformations were in good agreement with the results of the complete 3D thermoelectrical-mechanical simulation. This result makes it possible to calculate deformations with a plastic model in a reasonable time and use them as input data for an improved variational analysis. © 2013 Springer-Verlag London.

Keywords: Compliant assembly | FEM | Plasticity | Quality | Resistance spot welding | Shell model | Variational analysis

[27] Vezzetti E., Moos S., Marcolin F., Stola V., A pose-independent method for 3D face landmark formalization, Computer Methods and Programs in Biomedicine, 108(3), 1078-1096, (2012). Abstract

Abstract: Recently, 3D landmark extraction has been widely researched and experimented in medical field, for both corrective and aesthetic purposes. Automation of these procedures on three-dimensional face renderings is something desirable for the specialists who work in this field. In this work we propose a new method for accurate landmark localization on facial scans. The method relies on geometrical descriptors, such as curvatures and Shape Index, for computing candidate and initial points, and on a statistical model based on Procrustes Analysis and Principal Component Analysis, which is fitted to candidate points, for extracting the final landmarks. The elaborated method is independent on face pose. © 2012 Elsevier Ireland Ltd.

Keywords: 3D face | Differential Geometry | Landmark extraction | PCA | Procrustes Analysis

[28] Moos S., Vezzetti E., Compliant assembly tolerance analysis: Guidelines to formalize the resistance spot welding plasticity effects, International Journal of Advanced Manufacturing Technology, 61(5-8), 503-518, (2012). Abstract

Abstract: The variational analysis of compliant assemblies is mainly based on linear elastic models. Some guidelines have been defined to integrate material plasticity into a tolerance analysis model in order to improve its results when considering the resistance spot welding (RSW) process. A finite element model that simulates the body-in-white and RSW processes has been applied to butt and slip joints, with parts subjected to dimensional and geometrical tolerances that cause gap mismatching condition and loading interference on fixtures. The dimensional quality of assemblies is affected by plasticization near the welding spot, at the base of welded flanges and near the locators. The springback evidenced relative rotation of parts. © Springer-Verlag London Limited 2011.

Keywords: Compliant assembly | FEM | Quality | Resistance spot welding | Tolerance analysis

[29] Vezzetti E., Moos S., Kretli S., A product lifecycle management methodology for supporting knowledge reuse in the consumer packaged goods domain, CAD Computer Aided Design, 43(12), 1902-1911, (2011). Abstract

Abstract: The present globalized market is forcing many companies to invest in new strategies and tools for supporting knowledge management. This aspect is becoming a key factor in the industrial competitiveness for the presence of extended enterprises that normally deal with huge data exchange and share processes. This scenario is due to the presence of partners geographically distributed over the entire globe, that participate in different steps of the product lifecycle (product development, maintenance and recycling). At present, Product Lifecycle Management (PLM) seems to be the appropriate solution to support enterprises in this complex scenario, even though a real standardized approach for the implementation of knowledge sharing and management tools does not exist today. For this reason, the aim of this paper is to develop a knowledge management operative methodology able to support the formalization and the reuse of the enterprise expertise acquired while working on previous products. By focusing on consumer packaged goods enterprises and on the concept development phase (which is one of the most knowledge intensive phases of the whole product lifecycle), this research work has developed a new systematic methodology to support knowledge codification and knowledge management operations. The new methodology integrates the Quality Function Deployment (QFD) and the Teoriya Resheniya Izobreatatelskikh Zadatch (TRIZ). Also, a case study on the problem of waste disposal has been conducted to validate the proposed methodology. © 2011 Elsevier Ltd. All rights reserved.

Keywords: Knowledge sharing | PLM | QFD | TRIZ | Waste disposal

[30] Bonisoli E., Tornincasa S., Moos S., Di Monaco F., Repetto M., Freschi F., Electromechanical energy scavenger for automotive tires, SAE 2011 World Congress and Exhibition, (2011). Abstract

Abstract: This paper presents a multi-physic modeling of an electromechanical energy scavenging device able to supply energy inside car tires for wireless sensors. A permanent magnet, connected to the inner liner of a tire, is accelerated along a guide by the tire deformation during car motion; by interacting with coils it generates a power which is conditioned by a proper electronic interfaced to an external load. The original approach implemented in this kind of device is the nonlinear dynamic properties designed and controlled: adaptive resonance in function of car velocity is optimized for increasing its global efficiency. The energy conversion process takes into account the simulation of different phenomena such as: non linear dynamic and adaptive resonant behavior of the seismic mass, electromagnetic and magneto-static coupling between moving mass and coils, transfer of the generated power to an external load by means of a nonlinear circuit interface. An integrated model of the cascaded energy steps is developed inside the Simulink/Stateflow environment. A good agreement is found in the comparison between theoretical model and experiments conducted on prototypes produced by means of drawings directly obtained from 3D CAD models. To compare these results to other energy harvesting devices found in Literature, the same device adapted with symmetric configuration is derived. Empirical formulas to measure efficiency are evaluated for this device and compared with Literature results. The accurate modeling of the energy conversion device is a breakthrough in the modeling of these kinds of devices and allows to reach interesting power/volume ratios: small dimensions (about one cubic centimeter) and relatively high power output (more than one milliwatt). © 2011 SAE International.

[31] Bonisoli E., Tornincasa S., Moos S., Di Monaco F., Repetto M., Freschi F., Electromechanical energy scavenger for automotive tires, SAE Technical Papers, (2011). Abstract

Abstract: This paper presents a multi-physic modeling of an electromechanical energy scavenging device able to supply energy inside car tires for wireless sensors. A permanent magnet, connected to the inner liner of a tire, is accelerated along a guide by the tire deformation during car motion; by interacting with coils it generates a power which is conditioned by a proper electronic interfaced to an external load. The original approach implemented in this kind of device is the nonlinear dynamic properties designed and controlled: adaptive resonance in function of car velocity is optimized for increasing its global efficiency. The energy conversion process takes into account the simulation of different phenomena such as: non linear dynamic and adaptive resonant behavior of the seismic mass, electromagnetic and magneto-static coupling between moving mass and coils, transfer of the generated power to an external load by means of a nonlinear circuit interface. An integrated model of the cascaded energy steps is developed inside the Simulink/Stateflow environment. A good agreement is found in the comparison between theoretical model and experiments conducted on prototypes produced by means of drawings directly obtained from 3D CAD models. To compare these results to other energy harvesting devices found in Literature, the same device adapted with symmetric configuration is derived. Empirical formulas to measure efficiency are evaluated for this device and compared with Literature results. The accurate modeling of the energy conversion device is a breakthrough in the modeling of these kinds of devices and allows to reach interesting power/volume ratios: small dimensions (about one cubic centimeter) and relatively high power output (more than one milliwatt). Copyright © 2011 SAE International.

[32] Tornincasa S., Bonisoli E., Di Monaco F., Moos S., Repetto M., Freschi F., Nonlinear dynamics of an electro-mechanical energy scavenger, Conference Proceedings of the Society for Experimental Mechanics Series, 3, 339-349, (2011). Abstract

Abstract: This paper presents a very compact electro-mechanical wideband energy harvester optimized for tire applications. The energy conversion process of the device takes into account the simulation of different phenomena like: non linear dynamic and adaptive resonant behavior of the seismic mass, electromagnetic and magneto-static coupling between floating magnetic mass and coils, transfer of the generated power to an external load by means of a nonlinear circuit interface. The paper is focused on the pneumatic effects of the floating magnet sliding into a calibrated guide. A convenient choice of clearance between moving and fixed parts can be used to create an effective air brake preventing or softening shocks with end stops and to modify system dynamic. A block-oriented Simulink®, experimentally validated, model has been realized to predict scavenger device performance and to optimize design parameters. Equivalent linearized stiffness and damping factors due to pneumatic effects have been modeled in the lumped parameters system to get a simplified model and to formalize relations with the geometrical characteristics. Analysis of the effect of several nonlinearities at different vehicle speed have been performed.

Keywords: Adaptive resonance | Electro-mechanical device | Energy scavenger

[33] Bonisoli E., Canova A., Freschi F., Moos S., Repetto M., Tornincasa S., Dynamic simulation of an electromechanical energy scavenging device, IEEE Transactions on Magnetics, 46(8), 2856-2859, (2010). Abstract

Abstract: This paper presents a multi-physic modeling of an electromechanical energy scavenging device. A permanent magnet, connected to the inner liner of a tyre, is accelerated along a guide by the tyre deformation during car motion; by interacting with coils it generates a power which is conditioned by a proper electronic interfaced to an external load. The energy conversion process takes into account the simulation of different phenomena like: dynamic behavior of the seismic mass, electromagnetic coupling between moving mass and coils, transfer of the generated power to an external load by means of a nonlinear circuit interface. An integrated model of the cascaded energy steps is developed inside the Simulink environment. A good agreement is found in the comparison between theoretical model and experiments. The accurate modeling of the energy conversion device is a breakthrough in the modeling of these kinds of devices and allows to reach interesting power/volume ratios: small dimensions (about one cubic centimeter) and relatively high power output (more than one milliwatt). © 2006 IEEE.

Keywords: Adaptive resonance | electro-mechanical device | energy scavenger

[34] Vezzetti E., Calignano F., Moos S., Computer-aided morphological analysis for maxillo-facial diagnostic: a preliminary study, Journal of Plastic, Reconstructive and Aesthetic Surgery, 63(2), 218-226, (2010). Abstract

Abstract: This article compares most of the three-dimensional (3D) morphometric methods currently proposed by the technical literature to evaluate their morphological informative value, while applying them to a case study of five patients affected by the malocclusion pathology. The compared methods are: conventional cephalometric analysis (CCA), generalised Procrustes superimposition (GPS) with principal-components analysis (PCA), thin-plate spline analysis (TPS), multisectional spline (MS) and clearance vector mapping (CVM). The results show that MS provides more reliable and useful diagnostic information. © 2008 British Association of Plastic, Reconstructive and Aesthetic Surgeons.

Keywords: 3D Scanner | Facial Morphology | Shape analysis

[35] Bonisoli E., Velardocchia M., Moos S., Tornincasa S., Galvagno E., Gearbox design by means of genetic algorithm and CAD/CAE methodologies, SAE Technical Papers, (2010). Abstract

Abstract: The paper discusses a gearbox design method based on an optimization algorithm coupled to a full integrated tool to draw 3D virtual models, in order to verify both functionality and design. The aim of this activity is to explain how the state of the art of the gear design may be implemented through an optimization software for the geometrical parameters selection of helical gears of a manual transmission, starting from torque and speed time-histories, the required set of gear ratios and the material properties. This approach can be useful in order to use either the experimental acquisitions or the simulation results to verify or design all of the single gear pairs that compose a gearbox. Genetic algorithm methods are applied to solve the optimization problems of gears design, due to their capabilities of managing objective functions discontinuous, non-differentiable, stochastic, or highly non-linear. The final design tool, implemented in Matlab® environment, is based on the calculation of load capacity of helical gears, including the computation of tooth bending strength, of surface durability (pitting) and the estimation of service life under variable load, as suggested by International Standards. An automated macro procedure for Solidworks® interacts with the Matlab® environment to get the dimensional parameters of each gear and produces the models of each gear and their assembly. Copyright © 2010 SAE International.

[36] Calignano F., Moos S., Vezzetti E., Analysing the facial morphology with a three-dimensional geometrical features approach, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 38, 618-621, (2010). Abstract

Abstract: To obtain the best surgical results in orthognathic surgery, treatment planning and the evaluation of results should be performed. In these operations it is necessary to provide to the physicians powerful tools able to underline the behaviour of soft tissue. For this reason, considering the improvements provided by the use of 3D scanners, as photogrammetry, in the medical diagnosis this paper proposes a methodology for analysing the facial morphology working with geometrical features. The methodology has been tested over patients affected by malocclusion, in order to analyse the reliability and efficiency of the provided diagnostic results.

Keywords: 3D scanner | Facial morphology | Shape analysis | Soft tissue shifts