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Conference Paper
Description and Recognition Based on Directional Motion Vector for Spatial Hand Gestures
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- Authors
- Kyoung-Ju Noh, Dong-Woo Lee, Hyun-Tae Jeong
- Issue Date
- 2015-11
- Citation
- SENSORS 2015, pp.374-377
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- 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 aDTW 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.
- KSP Keywords
- Degree of similarity, Degrees of freedom(DOF), Directional motion, Dynamic Time Warping, Experiment results, Hand Gesture, Motion Vector(MV), Recognition Rate, Recognition method, Test platform, a-DTW