Hand Gestures Classification with Multi-Core DTW
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Abstract:
Classifications of several gesture types are very helpful in several applications. This paper tries to address fast classifications of hand gestures using DTW over multi-core simple processors. We presented a methodology to distribute templates over multi-cores and then allow parallel execution of the classification. The results were presented to voting algorithm in which the majority vote was used for the classification purpose. The speed of processing has increased dramatically due to using multi-core processors and DTW.
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Journal title
volume 11 issue Special Issue
pages 91- 96
publication date 2019-07-01
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