Abstract
Gestures offer a possibility of interaction with technical systems if other communication channels are excluded, for instance because of distance, noise, or usage for other purposes. However, gestures as the only mode of interaction lead to the problem of deciding whether a posture or motion of the user is indeed a gesture, in particular if commands are issued just from time to time. In this contribution, we overcome this problem by combining different gesture types. The types we use are static hand gestures based on hand postures, dynamic hand gestures based on hand motions, and pointing gestures based on hand or arm location. The gestures are acquired by computer-vision. In the case of remote interaction a difficulty is that some gesture types require a global view of the interaction space while others need local observation, like e.g. hand postures. We present a solution in which a camera with computer-controlled pan, tilt, and zoom is controlled by information captured by this camera, as well as by information captured by static cameras which survey the complete interaction space.
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Brockmann, C., Müller, H. (2004). Remote Vision-Based Multi-type Gesture Interaction. In: Camurri, A., Volpe, G. (eds) Gesture-Based Communication in Human-Computer Interaction. GW 2003. Lecture Notes in Computer Science(), vol 2915. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24598-8_19
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DOI: https://doi.org/10.1007/978-3-540-24598-8_19
Publisher Name: Springer, Berlin, Heidelberg
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