Improving In-game Gesture Learning with Visual Feedback

作者: Matthias Schwaller , Jan Kühni , Leonardo Angelini , Denis Lalanne

DOI: 10.1007/978-3-319-07227-2_61

关键词:

摘要: This paper presents a research work on gesture recognition and feedback to reduce the learning time of new gestures augment user performance in game application. A Wiimote controlled space shooter game, GeStar Wars, has been developed. The player controls spaceship through buttons controller, while forearm can be used perform special actions. Gesture strokes are mapped 3x3 grid differentiated according path covered cells. In-game visual displays current which cells were after is performed. novelty this resides correlated methodology helps learn correct gestures. evaluation, conducted with 12 users, showed that users performed significantly better if was provided.

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