We describe our planned research in using affective feedback from body movement and posture to recognize affective states of users. Bodily expression of af-fect has received far less attention in research than facial expression. The aim of our research is to fur-ther investigate how affective states are communicated through bodily expression and to develop an evalu-ation method for assessing affective states of video gamers based on this knowledge. Current motion cap-ture systems are often intrusive to the user and restricted to lab environments, which results in biasing user experience. We propose a nonintrusive recognition system for bodily expression of affect in a video game context, which can be deployed in the wild.

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A system and method for a biological interface system that processes multicellular signals of a patient and controls one or more devices is disclosed. The system includes a sensor that detects the multicellular signals and a processing unit for producing the control signal based on the multicellular signals. The system further includes an automated configuration routine that is used to set or modify the value of one or more system configuration parameters.

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