Description and recognition based on directional motion vector for spatial hand gestures

This paper presents a description method and an adaptive DTW recognition algorithm (a-DTW) based on Directional Motion Vector (DMV) for spatial hand gestures. The a-DTW based on the classic DTW (Dynamic Time Warping) is designed to compare the degree of similarity between hand gesture segments and hand gesture commands that are defined as a sequence of DMVs. This study uses IMU (Inertial Measurement Unit) sensors such as an accelerometer and a gyroscope to separate hand gestures into a sequence of DMVs. The proposed description and recognition method are implemented and evaluated on the MCU of a test platform of wrist-band type. The experiment average recognition rate of a-DTW is more than 95% for 7 kinds of spatial hand gestures, and the recognition process has been completed within less than 20ms. By the experiment results, the proposed a-DTW recognition method is useful to improve the degree of freedom for spatial hand gestures.