Hand Gesture Recognition System in the Complex Background for Edge Computing Devices
Author:
Affiliation:
1. School of Electrical Sciences, Indian Institute of Technology Bhubaneswar (IITBBS),India
2. University of Agder,Department of Information and Communication Technology,Norway
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10026847/10026888/10027101.pdf?arnumber=10027101
Reference17 articles.
1. Max-pooling convo-lutional neural networks for vision-based hand gesture recognition;nagi;2011 IEEE International Conference on Signal and Image Processing Applications (ICSIPA),0
2. Hand gesture recognition using multiclass support vector machine;rahman;International Journal of Computer Applications,2013
3. Classification using intersection kernel support vector machines is efficient
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