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1. Improving Output Visualization of an Algorithm for the Automated Detection of the Perceived Origin of Movement

Author

Gnecco, Giorgio, Fausto, Martina, Romano, Gabriele, Volpe, Gualtiero, Camurri, Antonio, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Clayton, Martin, editor, Passacantando, Mauro, editor, and Sanguineti, Marcello, editor

Published
2024
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2. Increasing Accessibility of Online Board Games to Visually Impaired People via Machine Learning and Textual/Audio Feedback: The Case of 'Quantik'

Author

Gnecco, Giorgio, Battaglini, Chiara, Biancalani, Francesco, Bottari, Davide, Camurri, Antonio, Leporini, Barbara, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Clayton, Martin, editor, Passacantando, Mauro, editor, and Sanguineti, Marcello, editor

Published
2024
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3. A transitional care program in a technologically monitored in‐hospital facility reduces the length of hospital stay and improves multidimensional frailty in older patients: a Randomized Clinical Trial

Author

Pilotto, Alberto, Morganti, Wanda, Barbagelata, Marina, Seminerio, Emanuele, Morelli, Simona, Custureri, Romina, Dini, Simone, Senesi, Barbara, Prete, Camilla, Puleo, Gianluca, Berutti Bergotto, Carlo, Vallone, Francesco, Custodero, Carlo, and Camurri, Antonio

Published
2024
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5. The Multi-Event-Class Synchronization (MECS) Algorithm

Author

Alborno, Paolo, Volpe, Gualtiero, Mancini, Maurizio, Niewiadomski, Radoslaw, Piana, Stefano, and Camurri, Antonio

Subjects
Computer Science - Human-Computer Interaction
Abstract

Synchronization is a fundamental component of computational models of human behavior, at both intra-personal and inter-personal level. Event synchronization analysis was originally conceived with the aim of providing a simple and robust method to measure synchronization between two time series. In this paper we propose a novel method extending the state-of-the-art of the event synchronization techniques: the Multi-Event-Class Synchronization (MECS) algorithm. MECS measures the synchronization between relevant events belonging to different event classes that are detected in multiple time series. Its motivation emerged from the need to model non-verbal multimodal signals in Human-Computer Interaction. Using MECS, synchronization can be computed between events belonging to the same class (intra-class synchronization) or between events belonging to different classes (inter-class synchronization). In the paper we also show how our technique can deal with macro-events (i.e., sets of events satisfying constraints) and macro-classes (i.e., sets of classes). In the last part of the paper, we apply the proposed method to two types of data i) artificial and 2) real-world case study concerning analysis of human multimodal behavior., Comment: 21 pages

Published
2019

7. Evaluation of a Computer Vision-Based System to Analyse Behavioral Changes in High School Classrooms

Author

Kim, Hyungsook, O'Sullivan, David, Kolykhalova, Ksenia, Camurri, Antonio, and Park, Yonghyun

Abstract

The objectives of this study were to investigate the feasibility of applying computer vision techniques and to analyse changes in behaviour and movement of high school students during class. The study is performed over two phases. Phase one focuses on developing a feasible method to use computer vision-based techniques in high school classes and phase two focuses on the testing of aromatherapy to affect student's movement. All camera data was processed and analysed by OpenPose, Matlab and EyesWeb. Movement features such as velocity, acceleration, and kinetic energy and postural variables, spinal extension and neck flexion were calculated. Results of phase one, shows significant differences in the overall segment velocity, acceleration, energy, and neck flexion. Similarly, the second phase shows significant differences in velocity, acceleration and jerk for the left shoulder and elbow joints of the group exposed to aroma. In conclusion, the results show the feasibility of using computer vision techniques to apply in a classroom setting.

Published
2021
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8. Accuracy and Intrusiveness in Data-Driven Violin Players Skill Levels Prediction: MOCAP Against MYO Against KINECT

Author

D’Amato, Vincenzo, Volta, Erica, Oneto, Luca, Volpe, Gualtiero, Camurri, Antonio, Anguita, Davide, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Rojas, Ignacio, editor, Joya, Gonzalo, editor, and Catala, Andreu, editor

Published
2021
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11. Development and validation of an art-inspired multimodal interactive technology system for a multi-component intervention for older people: a pilot study

Author

Camurri, Antonio, primary, Seminerio, Emanuele, additional, Morganti, Wanda, additional, Canepa, Corrado, additional, Ferrari, Nicola, additional, Ghisio, Simone, additional, Cera, Andrea, additional, Coletta, Paolo, additional, Barbagelata, Marina, additional, Puleo, Gianluca, additional, Nolasco, Ilaria, additional, Costantini, Claudio, additional, Senesi, Barbara, additional, and Pilotto, Alberto, additional

Published
2024
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12. A Preliminary Evaluation of a Computer Vision-Based System to Detect Effects of Aromatherapy During High School Classes via Movement Analysis

Author

Kolykhalova, Ksenia, O’Sullivan, David, Piana, Stefano, Kim, Hyungsook, Park, Yonghyun, Camurri, Antonio, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin (Sherman), Editorial Board Member, Stan, Mircea, Editorial Board Member, Xiaohua, Jia, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Cortez, Paulo, editor, Magalhães, Luís, editor, Branco, Pedro, editor, Portela, Carlos Filipe, editor, and Adão, Telmo, editor

Published
2019
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13. Computer Vision-Based System to Detect Effects of Aromatherapy During High School Classes via Analysis of Movement Kinematics

Author

Kolykhalova, Ksenia, O’Sullivan, David, Piana, Stefano, Kim, Hyungsook, Park, Yonghyun, Camurri, Antonio, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Yuan, Junsong, Founding Editor, and Stephanidis, Constantine, editor

Published
2019
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14. The PRO‐HOME Project. A multicomponent intervention for the protected discharge from the hospital of multimorbid and polytreated older individuals by using innovative technologies: A pilot study

Author

Pilotto, Alberto, primary, Volta, Erica, additional, Barbagelata, Marina, additional, Argusti, Alessandra, additional, Camurri, Antonio, additional, Casiddu, Niccolò, additional, Berutti‐Bergotto, Carlo, additional, Custodero, Carlo, additional, and Cella, Alberto, additional

Published
2023
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15. Real-time Automatic Emotion Recognition from Body Gestures

Author

Piana, Stefano, Staglianò, Alessandra, Odone, Francesca, Verri, Alessandro, and Camurri, Antonio

Subjects
Computer Science - Human-Computer Interaction, Computer Science - Computer Vision and Pattern Recognition
Abstract

Although psychological research indicates that bodily expressions convey important affective information, to date research in emotion recognition focused mainly on facial expression or voice analysis. In this paper we propose an approach to realtime automatic emotion recognition from body movements. A set of postural, kinematic, and geometrical features are extracted from sequences 3D skeletons and fed to a multi-class SVM classifier. The proposed method has been assessed on data acquired through two different systems: a professionalgrade optical motion capture system, and Microsoft Kinect. The system has been assessed on a "six emotions" recognition problem, and using a leave-one-subject-out cross validation strategy, reached an overall recognition rate of 61.3% which is very close to the recognition rate of 61.9% obtained by human observers. To provide further testing of the system, two games were developed, where one or two users have to interact to understand and express emotions with their body.

Published
2014

19. The PRO‐HOME Project. A multicomponent intervention for the protected discharge from the hospital of multimorbid and polytreated older individuals by using innovative technologies: A pilot study.

Author

Pilotto, Alberto, Volta, Erica, Barbagelata, Marina, Argusti, Alessandra, Camurri, Antonio, Casiddu, Niccolò, Berutti‐Bergotto, Carlo, Custodero, Carlo, and Cella, Alberto

Subjects
LENGTH of stay in hospitals, PILOT projects, HEALTH facilities, HOSPITAL building design & construction, RESEARCH methodology, MEDICAL technology, MANN Whitney U Test, RANDOMIZED controlled trials, T-test (Statistics), DESCRIPTIVE statistics, RESEARCH funding, CHI-squared test, DATA analysis software, COMORBIDITY, DISCHARGE planning, PATIENT safety
Abstract

Backgroud: Discharge planning from the hospital of frail older patients is an important step to avoid inappropriate long‐stay hospitalizations and to prevent the risks related to the prolonged hospitalization. In this frame, we developed an experimental trial—'PRO‐HOME', a multicomponent programme of interventions for multimorbid and polytreated hospitalized older patients. Aim: The main aim of the study was to develop a protected discharge facility using a mini apartment equipped with advanced architectural and technological components to reduce the length of hospital stay of older participants (aged 65+ years old) admitted to the hospital for an acute event, deemed stable and dischargeable. Materials and Methods: This is a pilot randomized controlled study, comparing 30 hospitalized participants included in a multidimensional, transitional care programme based on information and communication technologies to 30 patients in standard usual care until hospital discharge. Results: We presented the study design of the PRO‐HOME programme, including architectural and technological components, the enrolment procedures, the components of the intervention that is physical activity, cognitive training and life‐style education and the evaluation method of the intervention based on the Comprehensive Geriatric Assessment to explore the changes in the individual domains that are target of the multicomponent intervention. Conclusions: The final results will suggest whether the PRO‐HOME programme represents a useful and feasible intervention to reduce the length of hospital stay of multimorbid and polytreated hospitalized older patients and improve their physical and cognitive performances and overall quality of life. Patient or Public Contribution: Due to the characteristics of the population of interest of the PRO‐HOME study, we involved in the study design and programme of the activities the participants enrolled in a previous smart home‐based project named MoDiPro carried‐out during a 3‐year period. The elderly participants from the local population involved were asked, by means of focus groups, for feedback on their experience in MoDiPro, and their suggestions were integrated into the design phase of the current PRO‐HOME project. The focus groups included open group interviews with a qualitative collection of the patients' feedback so that the participants could interact with each other. [ABSTRACT FROM AUTHOR]

Published
2024
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22. Using the Audio Respiration Signal for Multimodal Discrimination of Expressive Movement Qualities

Author

Lussu, Vincenzo, Niewiadomski, Radoslaw, Volpe, Gualtiero, Camurri, Antonio, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Chetouani, Mohamed, editor, Cohn, Jeffrey, editor, and Salah, Albert Ali, editor

Published
2016
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25. As Wave Impels a Wave Active Experience of Cultural Heritage and Artistic Content

Author

Cavallero, Francesca, Camurri, Antonio, Canepa, Corrado, Ferrari, Nicola, Mazzarino, Barbara, Volpe, Gualtiero, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin (Sherman), Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert, Series editor, Coulson, Geoffrey, Series editor, Camurri, Antonio, editor, and Costa, Cristina, editor

Published
2012
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26. User-Centered Evaluation of the Virtual Binocular Interface

Author

Glowinski, Donald, Mancini, Maurizio, Coletta, Paolo, Ghisio, Simone, Chiorri, Carlo, Camurri, Antonio, Volpe, Gualtiero, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin (Sherman), Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert, Series editor, Coulson, Geoffrey, Series editor, Camurri, Antonio, editor, and Costa, Cristina, editor

Published
2012
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29. Human Movement Datasets: An Interdisciplinary Scoping Review.

Author

OLUGBADE, TEMITAYO, BIEŃKIEWICZ, MARTA, BARBARESCHI, GIULIA, D’AMATO, VINCENZO, ONETO, LUCA, CAMURRI, ANTONIO, HOLLOWAY, CATHERINE, BJÖRKMAN, MÅRTEN, KELLER, PETER, CLAYTON, MARTIN, DE C. WILLIAMS, AMANDA C., GOLD, NICOLAS, BECCHIO, CRISTINA, BARDY, BENOÎT, and BIANCHI-BERTHOUZE, NADIA

Subjects
AFFECTIVE computing, MOTION capture (Human mechanics), SCIENTIFIC community, MOTION detectors, HUMAN-computer interaction, MUSICAL perception, HUMAN mechanics
Abstract

Movement dataset reviews exist but are limited in coverage, both in terms of size and research discipline. While topic-specific reviews clearly have their merit, it is critical to have a comprehensive overview based on a systematic survey across disciplines. This enables higher visibility of datasets available to the research communities and can foster interdisciplinary collaborations. We present a catalogue of 704 open datasets described by 10 variables that can be valuable to researchers searching for secondary data: name and reference, creation purpose, data type, annotations, source, population groups, ordinal size of people captured simultaneously, URL, motion capture sensor, and funders. The catalogue is available in the supplementary materials. We provide an analysis of the datasets and further review them under the themes of human diversity, ecological validity, and data recorded. The resulting 12-dimension framework can guide researchers in planning the creation of open movement datasets. This work has been the interdisciplinary effort of researchers across affective computing, clinical psychology, disability innovation, ethnomusicology, human-computer interaction, machine learning, music cognition, music computing, and movement neuroscience. [ABSTRACT FROM AUTHOR]

Published
2023
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31. Human Movement Datasets: An Interdisciplinary Scoping Review

Author

Olugbade, Temitayo, primary, Bieńkiewicz, Marta, additional, Barbareschi, Giulia, additional, D’amato, Vincenzo, additional, Oneto, Luca, additional, Camurri, Antonio, additional, Holloway, Catherine, additional, Björkman, Mårten, additional, Keller, Peter, additional, Clayton, Martin, additional, Williams, Amanda C De C, additional, Gold, Nicolas, additional, Becchio, Cristina, additional, Bardy, Benoît, additional, and Bianchi-Berthouze, Nadia, additional

Published
2022
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35. Studying the Effect of Creative Joint Action on Musicians’ Behavior

Author

Glowinski, Donald, Mancini, Maurizio, Camurri, Antonio, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin (Sherman), Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert, Series editor, Coulson, Geoffrey, Series editor, De Michelis, Giorgio, editor, Tisato, Francesco, editor, Bene, Andrea, editor, and Bernini, Diego, editor

Published
2013
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36. Towards Automated Analysis of Joint Music Performance in the Orchestra

Author

Gnecco, Giorgio, Badino, Leonardo, Camurri, Antonio, D’Ausilio, Alessandro, Fadiga, Luciano, Glowinski, Donald, Sanguineti, Marcello, Varni, Giovanna, Volpe, Gualtiero, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin (Sherman), Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert, Series editor, Coulson, Geoffrey, Series editor, De Michelis, Giorgio, editor, Tisato, Francesco, editor, Bene, Andrea, editor, and Bernini, Diego, editor

Published
2013
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37. I-SEARCH: A Unified Framework for Multimodal Search and Retrieval

Author

Axenopoulos, Apostolos, Daras, Petros, Malassiotis, Sotiris, Croce, Vincenzo, Lazzaro, Marilena, Etzold, Jonas, Grimm, Paul, Massari, Alberto, Camurri, Antonio, Steiner, Thomas, Tzovaras, Dimitrios, Álvarez, Federico, editor, Cleary, Frances, editor, Daras, Petros, editor, Domingue, John, editor, Galis, Alex, editor, Garcia, Ana, editor, Gavras, Anastasius, editor, Karnourskos, Stamatis, editor, Krco, Srdjan, editor, Li, Man-Sze, editor, Lotz, Volkmar, editor, Müller, Henning, editor, Salvadori, Elio, editor, Sassen, Anne-Marie, editor, Schaffers, Hans, editor, Stiller, Burkhard, editor, Tselentis, Georgios, editor, Turkama, Petra, editor, and Zahariadis, Theodore, editor

Published
2012
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38. Fundamentals of Agent Perception and Attention Modelling

Author

Peters, Christopher, Castellano, Ginvera, Rehm, Matthias, André, Elisabeth, Raouzaiou, Amaryllis, Rapantzikos, Kostas, Karpouzis, Kostas, Volpe, Gaultiero, Camurri, Antonio, Vasalou, Asimina, Cowie, Roddy, editor, Pelachaud, Catherine, editor, and Petta, Paolo, editor

Published
2011
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40. Analyzing directionality of influence among ensemble musicians using Granger Causality

Author

Sabharwal, Sanket Rajeev, Musso, Arianna, Breaden, Matthew, Riccomagno, Eva, Camurri, Antonio, and Keller, Peter E.

Subjects
Granger causality, Joint actions, Social interaction, Kansei information processing, Entrainment
Abstract

In small musical groups, performers can seem to coordinate their movements almost effortlessly in remarkable exhibits of joint action and entrainment. To achieve a common musical goal, co-performers interact and communicate using non-verbal means such as upper-body movements, and particularly head motion. Studying these phenomena in naturalistic contexts can be challenging since most techniques make use of motion capture technologies that can be intrusive and costly. To investigate an alternative method, we analyze video recordings of a professional instrumental ensemble by extracting trajectory information using pose estimation algorithms. We examine Kansei perspectives such as the analysis of non-verbal expression conveyed by bodily movements and gestures, and test for causal relationships and directed influence between performers using the Granger Causality method. We compute weighted probabilities representing the likelihood that each performer Granger Causes co-performers’ movements. Effects of different aspects of musical textures were examined and results indicated stronger directionality for homophonic textures (clear melodic leader) than polyphonic (ambiguous leadership).

Published
2022

41. Video tools

Author

Alborno, Paolo, Jakubowski, Kelly, Camurri, Antonio, and Volpe, Gualtiero

Subjects
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, ComputingMethodologies_COMPUTERGRAPHICS
Abstract

Eyesweb patches for extraction of motion information from video, used in preparation of IEMP Collection.

Published
2022
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42. IEMP Technical Resources

Author

Eerola, Tuomas, Clayton, Martin, Alborno, Paolo, Camurri, Antonio, Jacoby, Nori, Jakubowski, Kelly, and Tarsitani, Simone

Subjects
Arts and Humanities, Music Performance, Ethnomusicology, Music
Abstract

This project collects together pieces of code used in preparation of IEMP Collection.

Published
2022
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48. User-Centric Context-Aware Mobile Applications for Embodied Music Listening

Author

Camurri, Antonio, Volpe, Gualtiero, Vinet, Hugues, Bresin, Roberto, Fabiani, Marco, Dubus, Gaël, Maestre, Esteban, Llop, Jordi, Kleimola, Jari, Oksanen, Sami, Välimäki, Vesa, Seppanen, Jarno, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin (Sherman), Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert, Series editor, Coulson, Geoffrey, Series editor, Daras, Petros, editor, and Ibarra, Oscar Mayora, editor

Published
2010
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49. Sync’n’Move: Social Interaction Based on Music and Gesture

Author

Varni, Giovanna, Mancini, Maurizio, Volpe, Gualtiero, Camurri, Antonio, Akan, Ozgur, Series editor, Bellavista, Paolo, Series editor, Cao, Jiannong, Series editor, Dressler, Falko, Series editor, Ferrari, Domenico, Series editor, Gerla, Mario, Series editor, Kobayashi, Hisashi, Series editor, Palazzo, Sergio, Series editor, Sahni, Sartaj, Series editor, Shen, Xuemin (Sherman), Series editor, Stan, Mircea, Series editor, Xiaohua, Jia, Series editor, Zomaya, Albert, Series editor, Coulson, Geoffrey, Series editor, Daras, Petros, editor, and Ibarra, Oscar Mayora, editor

Published
2010
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50. Towards Analysis of Expressive Gesture in Groups of Users: Computational Models of Expressive Social Interaction

Author

Camurri, Antonio, Varni, Giovanna, Volpe, Gualtiero, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Kopp, Stefan, editor, and Wachsmuth, Ipke, editor

Published
2010
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