Temporal hand gesture recognition by fuzzified TSK-type recurrent fuzzy network

Temporal hand gesture recognition by fuzzified Takagi-Sugeno-Kang (TSK)-type recurrent fuzzy network (FTRFN) is proposed in this paper. The temporal hand gesture is captured by CCD and represented by a two-dimensional fuzzy trajectory. To handle fuzzy trajectories, FTRFN is employed. The inputs and outputs of FTRFN are fuzzy patterns represented by Gaussian membership functions, and the recurrent property of FTRFN enables it to deal with fuzzy patterns with temporal context. In recognition scheme, the FTRFN performs trajectory recognition by prediction instead of classification. Experiments on ten categories of gestures are performed to verify the proposed approach.