We describe our planned research in using affective feedback from body movement and posture to recognize affective states of users. Bodily expression of affect has received far less attention in research than facial expression. The aim of our research is to further investigate how affective states are communicated through bodily expression and to develop an evaluation method for assessing affective states of video gamers based on this knowledge. Current motion capture systems are often intrusive to the user and restricted to lab environments, which results in biasing user experience. We propose a non-intrusive recognition system for bodily expression of affect in a video game context, which can be deployed in the wild. © 2011 Springer-Verlag.
CITATION STYLE
Pasch, M., & Landoni, M. (2011). Recognizing bodily expression of affect in user tests. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6975 LNCS, pp. 264–271). https://doi.org/10.1007/978-3-642-24571-8_29
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