Dynamic and static hand gesture recognition through low-level im

Image analysis – Histogram processing

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382170, 345122, 395199, 395155, G06K 900, G09G 106, A06F 1562

Patent

active

054540437

ABSTRACT:
A low-level model-free dynamic and static hand gesture recognition system utilizes either a 1-D histogram of frequency of occurrence vs. spatial orientation angle for static gestures or a 2-D histogram of frequency of occurrence vs. space-time orientation for dynamic gestures. In each case the histogram constitutes the signature of the gesture which is used for gesture recognition. For moving gesture detection, a 3-D space-time orientation map is merged or converted into the 2-D space-time orientation histogram which graphs frequency of occurrence vs. both orientation and movement. It is against this representation or template that an incoming moving gesture is matched.

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Magenes, Giovanni, et al., "Hand Movement Strategies in Telecontrolled Motion Along 2-D Trajectories", IEEE, Mar. 1992, pp. 242-257.

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