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Research on Emotions and Human-Machine Interaction
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W3C Invites Implementations of Emotion Markup Language (EmotionML) 1.0
So here it is, EmotionML is considered mature enough to be implemented. If you are interested in EmotionML, please consider implementing it in the next three months and submitting an implementation report.11 May 2012
SocialCom 2012 workshop on: Exploring Stances in Interactions: Conceptual and Practical Issues in Social Signal Processing Research
This workshop concentrates on studies of multimodal expressions of stances in both human-human and human-machine interaction, and on the automatic processing of stances. We aim to bring together researchers from various disciplines (e.g., phonetics, linguistics, psychology, computer science) to foster multidisciplinary discussions on stances in interaction.Amsterdam, The Netherlands, 03 September 2012
Workshop on Context Based Affect Recognition, Held in conjunction with SocialCom 2012, September 3-6, 2012, Amsterdam, The Netherlands.
Amsterdam, The Netherlands, 03 September 2012PhD studentship on Automatic Social Behaviour Analysis16 February 2012
2012 Outstanding Young Researcher in Image & Vision Computing AWARD
09 February 2012
CFP: BIOMSA - Brain Inspired Opinion Mining and Sentiment Analysis
09 February 2012
2nd International Audio/Visual Emotion Challenge and Workshop (AVEC 2012)
Santa Monica, California, 22 October 2012
Tool of the dayEREC - The Fraunhofer Sensor Glove
EREC (for Emotion RECognition) is a sensor system for measuring physiological parameters related to affect and emotion. The system has been developed for the human-computer interaction domain with special attention to ease of use, robustness, and minimal obtrusiveness. It is a wearable device in form of a glove and allows online and offline access to physiology data. Robust error handling algorith... Read more about EREC - The Fraunhofer Sensor Glove More Signal Analysis entries. Browse all toolbox entries. |
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SocialCom 2012 workshop on: Exploring Stances in Interactions: Conceptual and Practical Issues in Social Signal Processing Research
