Gesture recognition with inertial sensors and optimized DTW prototypes

In this work our approach for human gesture recognition with inertial sensors is presented. The proposed method utilizes a dynamic time warping (DTW) algorithm for online time series recognition. Our DTW implementation is able to deal with gesture signals varying in amplitude and to resolve ambiguities in the recognition result when DTW is used for multiclass classification.

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