Probabilistic Combination of Multiple Modalities to Detect Interest
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Cross-cultural differences in recognizing affect from body posture
Interacting with Computers
Automatic prediction of frustration
International Journal of Human-Computer Studies
Detecting Affect from Non-stylised Body Motions
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
Does Body Movement Engage You More in Digital Game Play? and Why?
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
The painful face - Pain expression recognition using active appearance models
Image and Vision Computing
Gesture-Based affective computing on motion capture data
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
Automatic Recognition of Non-Acted Affective Postures
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
What Does Touch Tell Us about Emotions in Touchscreen-Based Gameplay?
ACM Transactions on Computer-Human Interaction (TOCHI)
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The advent of whole-body interactive technology has increased the importance of creating systems that take into account body expressions to determine the affective state of the user. In doing so, the role played by the form and motion information needs to be understood. Neuroscience studies have shown that biological motion is recognized by separate pathways in the brain. This paper investigates the contribution of body configuration (form) in the automatic recognition of non-acted affective dynamic expressions in a video game context. Sequences of static postures are automatically extracted from motion capture data and presented to the system which is a combination of an affective posture recognition module and a sequence classification rule to finalize the affective state of each sequence. Our results show that using form information only, the system recognition reaches performances very close to the agreement between observers who viewed the affective expressions as animations containing both form and temporal information.