Affective computing
Relating personality and behavior: posture and gestures
Affective interactions
Understanding and Using Context
Personal and Ubiquitous Computing
A Context-Dependent Attention System for a Social Robot
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-time Human Motion Analysis by Image Skeletonization
WACV '98 Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV'98)
International Journal of Human-Computer Studies
Automatic prediction of frustration
International Journal of Human-Computer Studies
Emotionally Expressive Head and Body Movement During Gaze Shifts
IVA '07 Proceedings of the 7th international conference on Intelligent Virtual Agents
Recognizing Affective Dimensions from Body Posture
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
The Changing Face of Human-Computer Interaction in the Age of Ubiquitous Computing
USAB '09 Proceedings of the 5th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society on HCI and Usability for e-Inclusion
Addressing the problems of data-centric physiology-affect relations modeling
Proceedings of the 15th international conference on Intelligent user interfaces
Evaluating multimodal affective fusion using physiological signals
Proceedings of the 16th international conference on Intelligent user interfaces
Exploring Fusion Methods for Multimodal Emotion Recognition with Missing Data
IEEE Transactions on Affective Computing
AffectAura: an intelligent system for emotional memory
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
What next, ubicomp?: celebrating an intellectual disappearing act
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Bro-cam: improving game experience with empathic feedback using posture tracking
PERSUASIVE'13 Proceedings of the 8th international conference on Persuasive Technology
Bro-cam: improving game experience with empathic feedback using posture tracking
PERSUASIVE'13 Proceedings of the 8th international conference on Persuasive Technology
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Intelligent User Interfaces can benefit from having knowledge on the user's emotion. However, current implementations to detect affective states, are often constraining the user's freedom of movement by instrumenting her with sensors. This prevents affective computing from being deployed in naturalistic and ubiquitous computing contexts. In this paper, we present a novel system called mASqUE, which uses a set of association rules to infer someone's affective state from their body postures. This is done without any user instrumentation and using off-the-shelf and non-expensive commodity hardware: a depth camera tracks the body posture of the users and their postures are also used as an indicator of their openness. By combining the posture information with physiological sensors measurements we were able to mine a set of association rules relating postures to affective states. We demonstrate the possibility of inferring affective states from body postures in ubiquitous computing environments and our study also provides insights how this opens up new possibilities for IUI to access the affective states of users from body postures in a nonintrusive way.