Scientific Publications:
Vincenzo D'Amato, Luca Oneto, Antonio Camurri, Davide Anguita, Zinat Zarandi, Luciano Fadiga, Alessandro D. Ausilio, and Thierry Pozzo. 2022. The Importance of Multiple Temporal Scales in Motion Recognition: from Shallow to Deep Multi Scale Models. In 2022 International Joint Conference on Neural Networks (IJCNN), IEEE. DOI:https://doi.org/10.1109/ijcnn55064.2022.9892519.
Cong Bao, Zafeirios Fountas, Temitayo Olugbade, and Nadia Bianchi-Berthouze. 2020. Multimodal Data Fusion based on the Global Workspace Theory. In Proceedings of the 2020 International Conference on Multimodal Interaction, ACM. DOI:https://doi.org/10.1145/3382507.3418849
Benoît G. Bardy, Carmela Calabrese, Pietro De Lellis, Stella Bourgeaud, Clémentine Colomer, Simon Pla, and Mario di Bernardo. 2020. Moving in unison after perceptual interruption. Scientific Reports 10, 1 (October 2020). DOI:https://doi.org/10.1038/s41598-020-74914-z
Simone Battaglia, Gianluigi Serio, Cristina Scarpazza, Alessandro D'Ausilio, and Sara Borgomaneri. 2021. Frozen in (e)motion: How reactive motor inhibition is influenced by the emotional content of stimuli in healthy and psychiatric populations. Behaviour Research and Therapy 146, (November 2021), 103963. DOI:https://doi.org/10.1016/j.brat.2021.103963
Gilberto Bernardes, Eduardo Magalhães, Marcello Messina, Damián Keller, and Matthew E. P. Davies. 2021. Functional Musical Sonification for Chronic Pain Support.. Proceedings of the 11th Workshop on Ubiquitous Music (UbiMus 2021). DOI:https://doi.org/10.5281/ZENODO.5552419
Cigdem Beyan, Sukumar Karumuri, Gualtiero Volpe, Antonio Camurri, and Radoslaw Niewiadomski. 2021. Modeling Multiple Temporal Scales of Full-body Movements for Emotion Classification. IEEE Transactions on Affective Computing (2021), 1–1. DOI: 10.1109/TAFFC.2021.3095425
Tao Bi, Raffaele Andrea Buono, Temitayo Olugbade, Aneesha Singh, Catherine Holloway, Enrico Costanza, Amanda C. de C Williams, Nicolas E. Gold, and Nadia Berthouze. 2021. Towards Chatbot-Supported Self-Reporting for Increased Reliability and Richness of Ground Truth for Automatic Pain Recognition: Reflections on Long-Distance Runners and People with Chronic Pain. In Companion Publication of the 2021 International Conference on Multimodal Interaction, ACM. DOI:https://doi.org/10.1145/3461615.3485670.
Marta M. N. Bieńkiewicz, Stefan Janaqi, Pierre Jean, and Benoît G. Bardy. 2023. Impact of emotion-laden acoustic stimuli on group synchronisation performance. Scientific Reports 13, 1 (May 2023). DOI:https://doi.org/10.1038/s41598-023-34406-2
Marta M. N. Bieńkiewicz, Andrii P. Smykovskyi, Temitayo Olugbade, Stefan Janaqi, Antonio Camurri, Nadia Bianchi-Berthouze, Mårten Björkman, and Benoît G. Bardy. 2021. Bridging the gap between emotion and joint action. Neuroscience & Biobehavioral Reviews 131, (December 2021), 806–833. DOI:https://doi.org/10.1016/j.neubiorev.2021.08.014.
Aline W. de Borst and Beatrice de Gelder. 2022. Threat Detection in Nearby Space Mobilizes Human Ventral Premotor Cortex, Intraparietal Sulcus, and Amygdala. Brain Sciences 12, 3 (March 2022), 391. DOI:https://doi.org/10.3390/brainsci12030391.
Aline W. de Borst, Maria V. Sanchez-Vives, Mel Slater, and Beatrice de Gelder. 2020. First-Person Virtual Embodiment Modulates the Cortical Network that Encodes the Bodily Self and Its Surrounding Space during the Experience of Domestic Violence. eneuro 7, 3 (April 2020), ENEURO.0263-19.2019. DOI:https://doi.org/10.1523/ENEURO.0263-19.2019.
Carmela Calabrese, Benoît G. Bardy, Pietro De Lellis, and Mario di Bernardo. 2022. Modeling Frequency Reduction in Human Groups Performing a Joint Oscillatory Task. Frontiers in Psychology 12, (January 2022). DOI:https://doi.org/10.3389/fpsyg.2021.753758.
Carmela Calabrese, Maria Lombardi, Erik Bollt, Pietro De Lellis, Benoît G. Bardy, and Mario di Bernardo. 2021. Spontaneous emergence of leadership patterns drives synchronization in complex human networks. Scientific Reports 11, 1 (September 2021). DOI:https://doi.org/10.1038/s41598-021-97656-y.
Francesca Capozzi, Cigdem Beyan, Antonio Pierro, Atesh Koul, Vittorio Murino, Stefano Livi, Andrew P. Bayliss, Jelena Ristic, and Cristina Becchio. 2019. Tracking the Leader: Gaze Behavior in Group Interactions. iScience 16, (June 2019), 242–249. DOI:https://doi.org/10.1016/j.isci.2019.05.035.
Pasquale Cardellicchio, Elisa Dolfini, and Alessandro D'Ausilio. 2021. The role of dorsal premotor cortex in joint action stopping. iScience 24, 11 (November 2021), 103330. DOI:https://doi.org/10.1016/j.isci.2021.103330.
Pasquale Cardellicchio, Elisa Dolfini, Luciano Fadiga, and Alessandro D'Ausilio. 2020. Parallel fast and slow motor inhibition processes in Joint Action coordination. Cortex 133, (December 2020), 346–357. DOI:https://doi.org/10.1016/j.cortex.2020.09.029.
Pasquale Cardellicchio, Elisa Dolfini, Pauline M. Hilt, Luciano Fadiga, and Alessandro D’Ausilio. 2020. Motor cortical inhibition during concurrent action execution and action observation. NeuroImage 208, (March 2020), 116445. DOI:https://doi.org/10.1016/j.neuroimage.2019.116445.
Pasquale Cardellicchio, Pauline M. Hilt, Elisa Dolfini, Luciano Fadiga, and Alessandro D’Ausilio. 2020. Beta Rebound as an Index of Temporal Integration of Somatosensory and Motor Signals. Frontiers in Systems Neuroscience 14, (September 2020). DOI:https://doi.org/10.3389/fnsys.2020.00063.
Pasquale Cardellicchio, Giacomo Koch, Luciano Fadiga, and Alessandro D'Ausilio. 2021. Motor overload: GABAergic index of parallel buffer costs. Brain Stimulation 14, 5 (September 2021), 1106–1108. DOI:https://doi.org/10.1016/j.brs.2021.07.061.
Andrea Casarotto, Elisa Dolfini, Pasquale Cardellicchio, Luciano Fadiga, Alessandro D'Ausilio, and Giacomo Koch. 2022. Mechanisms of Hebbian-like plasticity in the ventral premotor - primary motor network. The Journal of Physiology 601, 1 (November 2022), 211–226. DOI:https://doi.org/10.1113/JP283560
Guanting Cen, Chongyang Wang, Temitayo A. Olugbade, Amanda C. de C. Williams, and Nadia Bianchi-Berthouze. 2022. Exploring Multimodal Fusion for Continuous Protective Behavior Detection. In 2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII), IEEE. DOI:https://doi.org/10.1109/acii55700.2022.9953851.
Martin Clayton, Kelly Jakubowski, Tuomas Eerola, Peter E. Keller, Antonio Camurri, Gualtiero Volpe, and Paolo Alborno. 2020. Interpersonal Entrainment in Music Performance: Theory, Method, and Model. Music Perception 38, 2 (November 2020), 136–194. DOI:https://doi.org/10.1525/mp.2020.38.2.136.
Martin Clayton, Jin Li, Alison Clarke, Marion Weinzierl, Laura Leante, and Simone Tarsitani. 2022. Hindustani raga and singer classification using pose estimation. (2022). DOI:https://doi.org/10.17605/OSF.IO/T5BWA.
Martin Clayton, Preeti Rao, Nithya Shikarpur, Sujoy Roychowdhury, and Jin Li. 2022. Raga Classification From Vocal Performances Using Multimodal Analysis. (2022). DOI:https://doi.org/10.5281/ZENODO.7316650.
C. Colomer, M. Dhamala, G. Ganesh, and J. Lagarde. 2022. Interacting humans use forces in specific frequencies to exchange information by touch. Scientific Reports 12, 1 (September 2022). DOI:https://doi.org/10.1038/s41598-022-19500-1.
Alexandre Coste, Benoît G. Bardy, Stefan Janaqi, Piotr Słowiński, Krasimira Tsaneva-Atanasova, Juliette Lozano Goupil, and Ludovic Marin. 2020. Decoding identity from motion: how motor similarities colour our perception of self and others. Psychological Research 85, 2 (February 2020), 509–519. DOI:https://doi.org/10.1007/s00426-020-01290-8.
Alexandre Coste, Benoît G. Bardy, and Ludovic Marin. 2019. Towards an Embodied Signature of Improvisation Skills. Frontiers in Psychology 10, (November 2019). DOI:https://doi.org/10.3389/fpsyg.2019.02441.
Vincenzo D’Amato, Erica Volta, Luca Oneto, Gualtiero Volpe, Antonio Camurri, and Davide Anguita. 2020. Understanding Violin Players’ Skill Level Based on Motion Capture: a Data-Driven Perspective. Cognitive Computation 12, 6 (September 2020), 1356–1369. DOI:https://doi.org/10.1007/s12559-020-09768-8.
Vincenzo D’Amato, Erica Volta, Luca Oneto, Gualtiero Volpe, Antonio Camurri, and Davide Anguita. 2021. Accuracy and Intrusiveness in Data-Driven Violin Players Skill Levels Prediction: MOCAP Against MYO Against KINECT. In Advances in Computational Intelligence. Springer International Publishing, 367–379. DOI:https://doi.org/10.1007/978-3-030-85099-9_30.
Loïc Damm, Déborah Varoqui, Valérie Cochen De Cock, Simone Dalla Bella, and Benoît Bardy. 2020. Why do we move to the beat? A multi-scale approach, from physical principles to brain dynamics. Neuroscience & Biobehavioral Reviews 112, (May 2020), 553–584. DOI:10.1016/j.neubiorev.2019.12.024
Vincenzo D'Amato, Luca Oneto, Antonio Camurri, and Davide Anguita. 2022. The Importance of Multiple Temporal Scales in Motion Recognition: when Shallow Model can Support Deep Multi Scale Models. In 2022 International Joint Conference on Neural Networks (IJCNN), IEEE. DOI:https://doi.org/10.1109/ijcnn55064.2022.9892372.
M. Emanuele, G. Nazzaro, M. Marini, C. Veronesi, S. Boni, G. Polletta, A. D'Ausilio, and L. Fadiga. 2021. Motor synergies: Evidence for a novel motor signature in autism spectrum disorder. Cognition 213, (August 2021), 104652. DOI:https://doi.org/10.1016/j.cognition.2021.104652.
Beatrice de Gelder and Marta Poyo Solanas. 2021. A computational neuroethology perspective on body and expression perception. Trends in Cognitive Sciences 25, 9 (September 2021), 744–756. DOI:https://doi.org/10.1016/j.tics.2021.05.010.
Giorgio Gnecco, Yuval Hadas, and Marcello Sanguineti. 2019. Some properties of transportation network cooperative games. Networks 74, 2 (April 2019), 161–173. DOI:https://doi.org/10.1002/net.21887.
Nicolas E. Gold, Chongyang Wang, Temitayo Olugbade, Nadia Berthouze, and Amanda Williams. 2020. P(l)aying Attention: Multi-modal, multi-temporal music control. (2020). DOI:https://doi.org/10.5281/ZENODO.4813303.
P. M. Hilt, P. Cardellicchio, E. Dolfini, T. Pozzo, L. Fadiga, and A. D’Ausilio. 2020. Motor Recruitment during Action Observation: Effect of Interindividual Differences in Action Strategy. Cerebral Cortex 30, 7 (February 2020), 3910–3920. DOI:https://doi.org/10.1093/cercor/bhaa006.
Pauline M. Hilt, Leonardo Badino, Alessandro D’Ausilio, Gualtiero Volpe, Serâ Tokay, Luciano Fadiga, and Antonio Camurri. 2020. Author Correction: Multi-layer adaptation of group coordination in musical ensembles. Scientific Reports 10, 1 (January 2020). DOI:https://doi.org/10.1038/s41598-019-55965-3
Sumeyra U. Demir Kanik, Wenjie Yin, Arzu Guneysu Ozgur, Ali Ghadirzadeh, Mårten Björkman, and Danica Kragic. 2022. Improving EEG-based Motor Execution Classification for Robot Control. In Social Computing and Social Media: Design, User Experience and Impact. Springer International Publishing, 65–82. DOI:https://doi.org/10.1007/978-3-031-05061-9_5
Sukumar Karumuri, Radoslaw Niewiadomski, Gualtiero Volpe, and Antonio Camurri. 2019. From Motions to Emotions: Classification of Affect from Dance Movements using Deep Learning. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, ACM. DOI:https://doi.org/10.1145/3290607.3312910.
Ksenia Kolykhalova, Giorgio Gnecco, Marcello Sanguineti, Gualtiero Volpe, and Antonio Camurri. 2020. Automated Analysis of the Origin of Movement: An Approach Based on Cooperative Games on Graphs. IEEE Transactions on Human-Machine Systems 50, 6 (December 2020), 550–560. DOI:https://www.doi.org/10.1109/THMS.2020.3016085.
Věra Kůrková and Marcello Sanguineti. 2021. Correlations of random classifiers on large data sets. Soft Computing 25, 19 (June 2021), 12641–12648. DOI:https://doi.org/10.1007/s00500-021-05938-4.
Julien Lagarde. 2021. The classical mean negative asynchrony in sensorimotor synchronization is not universal in humans. A cross-cultural study. (August 2021). DOI:https://doi.org/10.31234/osf.io/rf7ku.
Julien Laroche, Alice Tomassini, Gualtiero Volpe, Antonio Camurri, Luciano Fadiga, and Alessandro D’Ausilio. 2022. Interpersonal sensorimotor communication shapes intrapersonal coordination in a musical ensemble. Frontiers in Human Neuroscience 16, (September 2022). DOI:https://doi.org/10.3389/fnhum.2022.899676.
Juliette Lozano-Goupil, Benoît G. Bardy, and Ludovic Marin. 2021. Toward an Emotional Individual Motor Signature. Frontiers in Psychology 12, (May 2021). DOI:https://doi.org/10.3389/fpsyg.2021.647704.
Vincenzo Lussu, Radoslaw Niewiadomski, Gualtiero Volpe, and Antonio Camurri. 2019. The role of respiration audio in multimodal analysis of movement qualities. Journal on Multimodal User Interfaces 14, 1 (April 2019), 1–15. DOI:https://doi.org/10.1007/s12193-019-00302-1.
Laura Maffongelli, Elisabetta Ferrari, Eleonora Bartoli, Claudio Campus, Etienne Olivier, Luciano Fadiga, and Alessandro D’Ausilio. 2020. Role of sensorimotor areas in early detection of motor errors: An EEG and TMS study. Behavioural Brain Research 378, (January 2020), 112248. DOI:https://doi.org/10.1016/j.bbr.2019.112248.
Giuseppe Marrazzo, Maarten J. Vaessen, and Beatrice de Gelder. 2021. Decoding the difference between explicit and implicit body expression representation in high level visual, prefrontal and inferior parietal cortex. NeuroImage 243, (November 2021), 118545. DOI:https://doi.org/10.1016/j.neuroimage.2021.118545
Noemi Montobbio, Andrea Cavallo, Dalila Albergo, Caterina Ansuini, Francesca Battaglia, Jessica Podda, Lino Nobili, Stefano Panzeri, and Cristina Becchio. 2022. Intersecting kinematic encoding and readout of intention in autism. Proceedings of the National Academy of Sciences 119, 5 (January 2022). DOI:https://doi.org/10.1073/pnas.2114648119.
A. A. Nogueira-Campos, P. M. Hilt, L. Fadiga, C. Veronesi, A. D’Ausilio, and T. Pozzo. 2019. Anticipatory postural adjustments during joint action coordination. Scientific Reports 9, 1 (August 2019). DOI:https://doi.org/10.1038/s41598-019-48758-1.
Temitayo Olugbade, Marta Bieńkiewicz, Giulia Barbareschi, Vincenzo D’amato, Luca Oneto, Antonio Camurri, Catherine Holloway, Mårten Björkman, Peter Keller, Martin Clayton, Amanda C. De C. Williams, Nicolas Gold, Cristina Becchio, Benoît Bardy, and Nadia Bianchi-Berthouze. 2022. Human Movement Datasets: An Interdisciplinary Scoping Review. ACM Computing Surveys 55, 6 (December 2022), 1–29. DOI:https://doi.org/10.1145/3534970.
Temitayo Olugbade, Raffaele Andrea Buono, Amanda C. De C. Williams, Santiago De Ossorno Garcia, Nicolas Gold, Catherine Holloway, and Nadia Bianchi-Berthouze. 2022. EmoPain(at)Home: Dataset and Automatic Assessment within Functional Activity for Chronic Pain Rehabilitation. In 2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII), IEEE. DOI:https://doi.org/10.1109/acii55700.2022.9953831.
Temitayo Olugbade, Nicolas Gold, Amanda C. de C Williams, and Nadia Bianchi-Berthouze. 2020. A Movement in Multiple Time Neural Network for Automatic Detection of Pain Behaviour. In Companion Publication of the 2020 International Conference on Multimodal Interaction, ACM. DOI:https://doi.org/10.1145/3395035.3425969.
Temitayo Olugbade, Roberto Sagoleo, Simone Ghisio, Nicolas Gold, Amanda C. De C. Williams, Beatrice De Gelder, Antonio Camurri, Gualtiero Volpe, and Nadia Bianchi-Berthouze. 2021. The AffectMove 2021 Challenge - Affect Recognition from Naturalistic Movement Data. In 2021 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), IEEE. DOI:https://doi.org/10.1109/aciiw52867.2021.9666322.
Sanket Rajeev Sabharwal, Manuel Varlet, Matthew Breaden, Gualtiero Volpe, Antonio Camurri, and Peter E. Keller. 2022. huSync - A Model and System for the Measure of Synchronization in Small Groups: A Case Study on Musical Joint Action. IEEE Access 10, (2022), 92357–92372. DOI:https://doi.org/10.1109/ACCESS.2022.3202959.
Andrii Smykovskyi, Marta M. N. Bieńkiewicz, Simon Pla, Stefan Janaqi, and Benoît G. Bardy. 2022. Positive emotions foster spontaneous synchronisation in a group movement improvisation task. Frontiers in Human Neuroscience 16, (August 2022). DOI:https://doi.org/10.3389/fnhum.2022.944241
Marta Poyo Solanas, Maarten Vaessen, and Beatrice de Gelder. 2020. Computation-Based Feature Representation of Body Expressions in the Human Brain. Cerebral Cortex 30, 12 (August 2020), 6376–6390. DOI:https://doi.org/10.1093/cercor/bhaa196.
Marta Poyo Solanas, Maarten J. Vaessen, and Beatrice de Gelder. 2020. The role of computational and subjective features in emotional body expressions. Scientific Reports 10, 1 (April 2020). DOI:https://doi.org/10.1038/s41598-020-63125-1.
Marco Soriano, Atesh Koul, Cristina Becchio, and Andrea Cavallo. 2019. Modulation of corticospinal output during goal-directed actions: Evidence for a contingent coding hypothesis. Neuropsychologia 134, (November 2019), 107205. DOI:https://doi.org/10.1016/j.neuropsychologia.2019.107205.
Alice Tomassini, Julien Laroche, Marco Emanuele, Giovanni Nazzaro, Nicola Petrone, Luciano Fadiga, and Alessandro D’Ausilio. 2022. Interpersonal synchronization of movement intermittency. iScience 25, 4 (April 2022), 104096. DOI:https://doi.org/10.1016/j.isci.2022.104096.
Alice Tomassini, Eric Maris, Pauline Hilt, Luciano Fadiga, and Alessandro D’Ausilio. 2020. Visual detection is locked to the internal dynamics of cortico-motor control. PLOS Biology 18, 10 (October 2020), e3000898. DOI:https://doi.org/10.1371/journal.pbio.3000898.
Francesco Torricelli, Alice Tomassini, Giovanni Pezzulo, Thierry Pozzo, Luciano Fadiga, and Alessandro D'Ausilio. 2023. Motor invariants in action execution and perception. Physics of Life Reviews 44, (March 2023), 13–47. DOI: https://doi.org/10.1016/j.plrev.2022.11.003
Giacomo Turri, Andrea Cavallo, Luca Romeo, Massimiliano Pontil, Alan Sanfey, Stefano Panzeri, and Cristina Becchio. 2022. Decoding social decisions from movement kinematics. iScience 25, 12 (December 2022), 105550. DOI:https://doi.org/10.1016/j.isci.2022.105550
Maarten Vaessen, Kiki Van der Heijden, and Beatrice de Gelder. 2019. Decoding of emotion expression in the face, body and voice reveals sensory modality specific representations. (December 2019). DOI:https://doi.org/10.1101/869578.
Riccardo Viaro, Emma Maggiolini, Emanuele Farina, Rosario Canto, Atsushi Iriki, Alessandro D’Ausilio, and Luciano Fadiga. 2021. Neurons of rat motor cortex become active during both grasping execution and grasping observation. Current Biology 31, 19 (October 2021), 4405-4412.e4. DOI:https://doi.org/10.1016/j.cub.2021.07.054.
Chongyang Wang, Yuan Gao, Akhil Mathur, Amanda C. De C. Williams, Nicholas D. Lane, and Nadia Bianchi-Berthouze. 2021. Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, 2 (June 2021), 1–27. DOI:https://doi.org/10.1145/3463508.
Chongyang Wang, Temitayo A. Olugbade, Akhil Mathur, Amanda C. D. E. C. Williams, Nicholas D. Lane, and Nadia Bianchi-Berthouze. 2021. Chronic Pain Protective Behavior Detection with Deep Learning. ACM Transactions on Computing for Healthcare 2, 3 (July 2021), 1–24. DOI: https://doi.org/10.1145/3449068.
Chongyang Wang, Temitayo A. Olugbade, Akhil Mathur, Amanda C. De C. Williams, Nicholas D. Lane, and Nadia Bianchi-Berthouze. 2019. Recurrent network based automatic detection of chronic pain protective behavior using MoCap and sEMG data. In Proceedings of the 23rd International Symposium on Wearable Computers, ACM. DOI:https://doi.org/10.1145/3341163.3347728.
Chongyang Wang, Min Peng, Temitayo A. Olugbade, Nicholas D. Lane, Amanda C. de C. Williams, and Nadia Bianchi-Berthouze. 2019. Learning Temporal and Bodily Attention in Protective Movement Behavior Detection. In 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), IEEE. DOI:https://doi.org/10.1109/aciiw.2019.8925084.
Robrecht P. R. D. van der Wel, Cristina Becchio, Arianna Curioni, and Thomas Wolf. 2021. Understanding joint action: Current theoretical and empirical approaches. Acta Psychologica 215, (April 2021), 103285. DOI:https://doi.org/10.1016/j.actpsy.2021.103285.
Fangkai Yang, Wenjie Yin, Marten Bjorkman, and Christopher Peters. 2020. Impact of Trajectory Generation Methods on Viewer Perception of Robot Approaching Group Behaviors. In 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), IEEE. DOI:https://doi.org/10.1109/ro-man47096.2020.9223584
Wenjie Yin, Hang Yin, Danica Kragic, and Marten Bjorkman. 2021. Graph-based Normalizing Flow for Human Motion Generation and Reconstruction. In 2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN), IEEE. DOI:https://doi.org/10.1109/ro-man50785.2021.9515316.
Minye Zhan, Rainer Goebel, and Beatrice de Gelder. 2021. Subjective understanding of actions and emotions requires interaction of the semantic and action observation networks. (April 2021). DOI:https://doi.org/10.1101/2021.04.15.439961.
F. Yang, W. Yin, T. Inamura, M. Björkman, and C. Peters, Group behavior recognition using attention-and graph-based neural networks, in ECAI 2020, IOS Press, 2020, pp. 1626–1633. DOI:10.3233/FAIA200273
Neubauer, L., Gold, N., Olugbade, T., Williams, A., & Berthouze, N. (2021, September). Functional Musical Sonification for Chronic Pain Support. In Ubiquitous Music 2021. Ubiquitous Music 2021. DOI:10.5281/zenodo.5552419