Hand Gestures Classification with Multi-Core DTW
نویسندگان
چکیده مقاله:
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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iii ACKNOWLEDGEMENTS I wish to thank the Georgia Institute of Technology for providing me with a well-rounded education and exposure to the many facets of self-improvement through education. Specifically I would to thank my committee that includes my advisor Dr. Claudia R. Winegarden, and my committee Mr. Abir Mullick and Mr. Jon Sanford for taking a keen interest in my education and thesis. Th...
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عنوان ژورنال
دوره 11 شماره Special Issue
صفحات 91- 96
تاریخ انتشار 2019-07-01
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