Academic literature on the topic 'Multimodal perception of emotion'
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Journal articles on the topic "Multimodal perception of emotion"
de Boer, Minke J., Deniz Başkent, and Frans W. Cornelissen. "Eyes on Emotion: Dynamic Gaze Allocation During Emotion Perception From Speech-Like Stimuli." Multisensory Research 34, no. 1 (July 7, 2020): 17–47. http://dx.doi.org/10.1163/22134808-bja10029.
Full textVallverdú, Jordi, Gabriele Trovato, and Lorenzo Jamone. "Allocentric Emotional Affordances in HRI: The Multimodal Binding." Multimodal Technologies and Interaction 2, no. 4 (November 6, 2018): 78. http://dx.doi.org/10.3390/mti2040078.
Full textShackman, Jessica E., and Seth D. Pollak. "Experiential Influences on Multimodal Perception of Emotion." Child Development 76, no. 5 (September 2005): 1116–26. http://dx.doi.org/10.1111/j.1467-8624.2005.00901.x.
Full textBarabanschikov, V. A., and E. V. Suvorova. "Gender Differences in the Recognition of Emotional States." Психологическая наука и образование 26, no. 6 (2021): 107–16. http://dx.doi.org/10.17759/pse.2021260608.
Full textYamauchi, Takashi, Jinsil Seo, and Annie Sungkajun. "Interactive Plants: Multisensory Visual-Tactile Interaction Enhances Emotional Experience." Mathematics 6, no. 11 (October 29, 2018): 225. http://dx.doi.org/10.3390/math6110225.
Full textVani Vivekanand, Chettiyar. "Performance Analysis of Emotion Classification Using Multimodal Fusion Technique." Journal of Computational Science and Intelligent Technologies 2, no. 1 (April 16, 2021): 14–20. http://dx.doi.org/10.53409/mnaa/jcsit/2103.
Full textLavan, Nadine, and Carolyn McGettigan. "Increased Discriminability of Authenticity from Multimodal Laughter is Driven by Auditory Information." Quarterly Journal of Experimental Psychology 70, no. 10 (October 2017): 2159–68. http://dx.doi.org/10.1080/17470218.2016.1226370.
Full textPortnova, Galina, Aleksandra Maslennikova, Natalya Zakharova, and Olga Martynova. "The Deficit of Multimodal Perception of Congruent and Non-Congruent Fearful Expressions in Patients with Schizophrenia: The ERP Study." Brain Sciences 11, no. 1 (January 13, 2021): 96. http://dx.doi.org/10.3390/brainsci11010096.
Full textMittal, Trisha, Aniket Bera, and Dinesh Manocha. "Multimodal and Context-Aware Emotion Perception Model With Multiplicative Fusion." IEEE MultiMedia 28, no. 2 (April 1, 2021): 67–75. http://dx.doi.org/10.1109/mmul.2021.3068387.
Full textMontembeault, Maxime, Estefania Brando, Kim Charest, Alexandra Tremblay, Élaine Roger, Pierre Duquette, and Isabelle Rouleau. "Multimodal emotion perception in young and elderly patients with multiple sclerosis." Multiple Sclerosis and Related Disorders 58 (February 2022): 103478. http://dx.doi.org/10.1016/j.msard.2021.103478.
Full textDissertations / Theses on the topic "Multimodal perception of emotion"
Cox, A. G. "Multimodal emotion perception from facial and vocal signals." Thesis, University of Cambridge, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.598105.
Full textREALDON, OLIVIA. "Differenze culturali nella percezione multimodale delle emozioni." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2012. http://hdl.handle.net/10281/37944.
Full textur, Réhman Shafiq. "Expressing emotions through vibration for perception and control." Doctoral thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-32990.
Full textTaktil Video
Fernández, Carbonell Marcos. "Automated Multimodal Emotion Recognition." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-282534.
Full textAtt kunna läsa och tolka affektiva tillstånd spelar en viktig roll i det mänskliga samhället. Detta är emellertid svårt i vissa situationer, särskilt när information är begränsad till antingen vokala eller visuella signaler. Många forskare har undersökt de så kallade grundläggande känslorna på ett övervakat sätt. Det här examensarbetet innehåller resultaten från en multimodal övervakad och oövervakad studie av ett mer realistiskt antal känslor. För detta ändamål extraheras ljud- och videoegenskaper från GEMEP-data med openSMILE respektive OpenFace. Det övervakade tillvägagångssättet inkluderar jämförelse av flera lösningar och visar att multimodala pipelines kan överträffa unimodala sådana, även med ett större antal affektiva tillstånd. Den oövervakade metoden omfattar en konservativ och en utforskande metod för att hitta meningsfulla mönster i det multimodala datat. Den innehåller också ett innovativt förfarande för att bättre förstå resultatet av klustringstekniker.
Nguyen, Tien Dung. "Multimodal emotion recognition using deep learning techniques." Thesis, Queensland University of Technology, 2020. https://eprints.qut.edu.au/180753/1/Tien%20Dung_Nguyen_Thesis.pdf.
Full textGay, R. "Morality : Emotion, perception and belief." Thesis, University of Oxford, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.371649.
Full textLawrie, Louisa. "Adult ageing and emotion perception." Thesis, University of Aberdeen, 2018. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=239235.
Full textAbrilian, Sarkis. "Représentation de comportements emotionnels multimodaux spontanés : perception, annotation et synthèse." Phd thesis, Université Paris Sud - Paris XI, 2007. http://tel.archives-ouvertes.fr/tel-00620827.
Full textAngelica, Lim. "MEI: Multimodal Emotional Intelligence." 京都大学 (Kyoto University), 2014. http://hdl.handle.net/2433/188869.
Full textKosti, Ronak. "Visual scene context in emotion perception." Doctoral thesis, Universitat Oberta de Catalunya, 2019. http://hdl.handle.net/10803/667808.
Full textLos estudios psicológicos muestran que el contexto de la escena, además de la expresión facial y la pose corporal, aporta información importante a nuestra percepción de las emociones de las personas. Sin embargo, el procesamiento del contexto para el reconocimiento automático de emociones no se ha explorado en profundidad, en parte debido a la falta de datos adecuados. En esta tesis presentamos EMOTIC, un conjunto de datos de imágenes de personas en situaciones naturales y diferentes anotadas con su aparente emoción. La base de datos EMOTIC combina dos tipos diferentes de representación de emociones: (1) un conjunto de 26 categorías de emociones y (2) las dimensiones continuas de valencia, excitación y dominación. También presentamos un análisis estadístico y algorítmico detallado del conjunto de datos junto con el análisis de concordancia de los anotadores. Los modelos CNN están entrenados en EMOTIC, combinando características de la persona con características de escena (contexto). Nuestros resultados muestran cómo el contexto de la escena aporta información importante para reconocer automáticamente los estados emocionales, lo cual motiva más investigaciones en esta dirección.
Psychological studies show that the context of a setting, in addition to facial expression and body language, lends important information that conditions our perception of people's emotions. However, context's processing in the case of automatic emotion recognition has not been explored in depth, partly due to the lack of sufficient data. In this thesis we present EMOTIC, a dataset of images of people in various natural scenarios annotated with their apparent emotion. The EMOTIC database combines two different types of emotion representation: (1) a set of 26 emotion categories, and (2) the continuous dimensions of valence, arousal and dominance. We also present a detailed statistical and algorithmic analysis of the dataset along with the annotators' agreement analysis. CNN models are trained using EMOTIC, combining a person's features with those of the setting (context). Our results not only show how the context of a setting contributes important information for automatically recognizing emotional states but also promote further research in this direction.
Books on the topic "Multimodal perception of emotion"
André, Elisabeth, Laila Dybkjær, Wolfgang Minker, Heiko Neumann, Roberto Pieraccini, and Michael Weber, eds. Perception in Multimodal Dialogue Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-69369-7.
Full textStiefelhagen, Rainer, Rachel Bowers, and Jonathan Fiscus, eds. Multimodal Technologies for Perception of Humans. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-68585-2.
Full textStiefelhagen, Rainer, and John Garofolo, eds. Multimodal Technologies for Perception of Humans. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-69568-4.
Full text1953-, Zimmer H. D., ed. Human memory: A multimodal approach. Seattle: Hogrefe & Huber Publishers, 1994.
Find full textVernon, McDonald P., Bloomberg Jacob, and Lyndon B. Johnson Space Center., eds. Multimodal perception and multicriterion control of nested systems. Houston, Tex: National Aeronautics and Space Administration, Lyndon B. Johnson Space Center, 1999.
Find full textRiccio, Gary E. Multimodal perception and multicriterion control of nested systems. Houston, Tex: National Aeronautics and Space Administration, Lyndon B. Johnson Space Center, 1999.
Find full textRiccio, Gary E. Multimodal perception and multicriterion control of nested systems. Washington, D.C: National Aeronautics and Space Administration, 1998.
Find full textBadenhop, Dennis. Praktische Anschauung: Sinneswahrnehmung, Emotion und moralisches Begründen. Freiburg: Verlag Karl Alber, 2015.
Find full textSeymour, Julie, Abigail Hackett, and Lisa Procter. Children's spatialities: Embodiment, emotion and agency. Houndmills, Basingstoke Hampshire: Palgrave Macmillan, 2015.
Find full textD, Ellis Ralph, and Newton Natika, eds. Consciousness & emotion: Agency, conscious choice, and selective perception. Amsterdam: John Benjamins Pub., 2004.
Find full textBook chapters on the topic "Multimodal perception of emotion"
Esposito, Anna, Domenico Carbone, and Maria Teresa Riviello. "Visual Context Effects on the Perception of Musical Emotional Expressions." In Biometric ID Management and Multimodal Communication, 73–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04391-8_10.
Full textLi, Aijun. "Perception of Multimodal Emotional Expressions By Japanese and Chinese." In Encoding and Decoding of Emotional Speech, 33–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-47691-8_2.
Full textHunter, Patrick G., and E. Glenn Schellenberg. "Music and Emotion." In Music Perception, 129–64. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-6114-3_5.
Full textBratton, John, Peter Sawchuk, Carolyn Forshaw, Militza Callinan, and Martin Corbett. "Perception and emotion." In Work and Organizational Behaviour, 128–58. London: Macmillan Education UK, 2010. http://dx.doi.org/10.1007/978-0-230-36602-2_5.
Full textKotsia, Irene, Stefanos Zafeiriou, George Goudelis, Ioannis Patras, and Kostas Karpouzis. "Multimodal Sensing in Affective Gaming." In Emotion in Games, 59–84. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41316-7_4.
Full textVasilescu, Ioana. "Emotion Perception and Recognition." In Emotion-Oriented Systems, 191–213. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118601938.ch7.
Full textWagner, Johannes, Florian Lingenfelser, and Elisabeth André. "Building a Robust System for Multimodal Emotion Recognition." In Emotion Recognition, 379–410. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781118910566.ch15.
Full textKenemans, Leon, and Nick Ramsey. "Perception, Attention and Emotion." In Psychology in the Brain, 178–98. London: Macmillan Education UK, 2013. http://dx.doi.org/10.1007/978-1-137-29614-6_8.
Full textKret, Mariska E., Charlotte B. A. Sinke, and Beatrice de Gelder. "Emotion Perception and Health." In Emotion Regulation and Well-Being, 261–80. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-6953-8_16.
Full textChen, Fang, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji, and Dan Conway. "Emotion and Cognitive Load." In Robust Multimodal Cognitive Load Measurement, 173–83. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31700-7_11.
Full textConference papers on the topic "Multimodal perception of emotion"
Zhang, Biqiao, Georg Essl, and Emily Mower Provost. "Predicting the distribution of emotion perception: capturing inter-rater variability." In ICMI '17: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3136755.3136792.
Full textZhang, Yue, Wanying Ding, Ran Xu, and Xiaohua Hu. "Visual Emotion Representation Learning via Emotion-Aware Pre-training." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/234.
Full textGhaleb, Esam, Mirela Popa, and Stylianos Asteriadis. "Multimodal and Temporal Perception of Audio-visual Cues for Emotion Recognition." In 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII). IEEE, 2019. http://dx.doi.org/10.1109/acii.2019.8925444.
Full textChen, Yishan, Zhiyang Jia, Kaoru Hirota, and Yaping Dai. "A Multimodal Emotion Perception Model based on Context-Aware Decision-Level Fusion." In 2022 41st Chinese Control Conference (CCC). IEEE, 2022. http://dx.doi.org/10.23919/ccc55666.2022.9902799.
Full textNivedhan, Abilash, Line Ahm Mielby, and Qian Janice Wang. "The Influence of Emotion-Oriented Extrinsic Visual and Auditory Cues on Coffee Perception: A Virtual Reality Experiment." In ICMI '20: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3395035.3425646.
Full textSu, Qi, Fei Chen, Hanfei Li, Nan Yan, and Lan Wang. "Multimodal Emotion Perception in Children with Autism Spectrum Disorder by Eye Tracking Study." In 2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES). IEEE, 2018. http://dx.doi.org/10.1109/iecbes.2018.8626642.
Full textDussard, Claire, Anahita Basirat, Nacim Betrouni, Caroline Moreau, David Devos, François Cabestaing, and José Rouillard. "Preliminary Study of the Perception of Emotions Expressed by Virtual Agents in the Context of Parkinson's Disease." In ICMI '20: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3395035.3425219.
Full textKunpeng Huang. "Multimodal detecting and analytic system for visual perception and emotional response." In 2017 IEEE Integrated STEM Education Conference (ISEC). IEEE, 2017. http://dx.doi.org/10.1109/isecon.2017.7910224.
Full textRanasinghe, Nimesha, Meetha Nesam James, Michael Gecawicz, Jonathan Bland, and David Smith. "Influence of Electric Taste, Smell, Color, and Thermal Sensory Modalities on the Liking and Mediated Emotions of Virtual Flavor Perception." In ICMI '20: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3382507.3418862.
Full textHong, Alexander, Yuma Tsuboi, Goldie Nejat, and Beno Benhabib. "Multimodal Affect Recognition for Assistive Human-Robot Interactions." In 2017 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dmd2017-3332.
Full textReports on the topic "Multimodal perception of emotion"
Maia, Maercio, Abrahão Baptista, Patricia Vanzella, Pedro Montoya, and Henrique Lima. Neural correlates of the perception of emotions elicited by dance movements. A scope review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, February 2023. http://dx.doi.org/10.37766/inplasy2023.2.0086.
Full textRúas-Araújo, J., M. I. Punín Larrea, H. Gómez Alvarado, P. Cuesta-Morales, and S. Ratté. Neuroscience applied to perception analysis: Heart and emotion when listening to Ecuador’s national anthem. Revista Latina de Comunicación Social, June 2015. http://dx.doi.org/10.4185/rlcs-2015-1052en.
Full textBalali, Vahid, Arash Tavakoli, and Arsalan Heydarian. A Multimodal Approach for Monitoring Driving Behavior and Emotions. Mineta Transportation Institute, July 2020. http://dx.doi.org/10.31979/mti.2020.1928.
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