PPT-Cognitive models for emotion recognition:

Big Data and Deep Learning Big Data seminar Presentation 101415 Outline Emotiv demo Data Acquisition Cognitive models for emotions recognition Big Data Deep Learning Human Brain the Big Data model. Automated Feature Extraction and Target Recognition. Speaker:. . Yi-Chun . Ke. Adviser:. . Bo-Chi Lai. outline. Introduction. Method. conclusion. Introduction. computational models of biological vision and learning. neurocoachsa.wordpress.com. Translational Neuromodeling &. Computational Neuroeconomics Seminar. 13.12.2013. Daniel Renz. Examples. A person with . social anxiety. clenches her hands to avoid shaking as she tries to answer a professor's question.. November 12-19, 2009. What is emotion?. Communication mechanisms that maintain social order/structure. Behavior learned through operant or classical conditioning or nonassociative learning, not involving deliberate cognitive mediation. Xin. . Luo. , . Qian-Jie. Fu, John J. Galvin III. Presentation By Archie . Archibong. What is the Cochlear Implant. The Cochlear implant is a hearing aid device which has restored hearing sensation to many deafened individuals.. using the . GSR Signal on Android Devices. Shuangjiang Li. Outline . Emotion Recognition. The GSR Signal. Preliminary Work. Proposed Work. Challenges. Discussion. Emotion . Recognition. Human-Computer Interaction. b. y . Benedicta. Mercado Felicia. What’s an emotion?. Emotion is a complex . psychophysiological. experience of an individual as a result of his interactions with the environment. Every human experiences different emotions in one single day. . vs. Discriminative models. Roughly:. Discriminative. Feedforw. ard. Bottom-up. Generative. Feedforward recurrent feedback. Bottom-up horizontal top-down. Compositional . generative models require a flexible, “universal,” representation format for relationships.. C. omputing in Computer Games. Dr. . Saeid. . Pourroostaei. . Ardakani. Faculty of Psychology and Educational Science. Allameh. . Tabataba’i. University. Autumn 2016. Outline. Introduction to Affective Computing. Motivational Theories and . Concepts. Motives. are the needs, wants, interests, . & desires . that propel people in certain directions. . Motivation . involves goal-directed behavior. Drive Theories. Deep Learning for Expression Recognition in Image Sequences Daniel Natanael García Zapata Tutors: Dr. Sergio Escalera Dr. Gholamreza Anbarjafari April 27 2018 Introduction and Goals Introduction Dennis Hamester et al., “Face ExpressionRecognition with a 2-Channel ConvolutionalNeural Network”, International Joint Conference on Neural Networks (IJCNN), 2015. Interpretation of dynamic and spontaneous facial expressions. 10 stimuli were chosen from the . DynEmo. database (. https://dynemo.liglab.fr/. see also . Meillon. et al., 2010). They consist in faces of naïve participants . A type of therapy that focuses on one’s behaviors, cognitions, and emotions and how that influences how we navigate and view ourselves, others, and the world. . Today you’ll learn skills to regulate emotions from a cognitive behavioral approach. . Russell et al (1989) across cultures: arousal (physical) & pleasantness subjective feeling. Averill (1983): cognitive intervene environment & behavioral response. Lazarus (1984) cognitive before feeling. What is emotion?. Communication mechanisms that maintain social order/structure. Behavior learned through operant or classical conditioning or nonassociative learning, not involving deliberate cognitive mediation.