Survey on Hand Gesture Recognition Technology
Abstract
Interfacing with computer using Hand gestures based human computer interaction (HCI) is a very user friendly, most intuitive and natural way to interact. Hand gesture has been used since very old time not only by physically challenged people but normal people to communicate effectively. Gesture based interfaces promises to increase the efficiency and simplicity to interact with system. Gesture commonly originates from face or hand that includes emotion recognition from faces and hand gesture recognition. This paper includes journey of hand recognition based system and the methods used to implement those systems like glove-based and depth-based recognition. In the end we discuss the application prospective of hand gesture recognition.
References
[2]Lingchen Chen,Feng Wang ,HuiDeng, KaifanJi-A Survey on Hand Gesture Recognition
[3] Dipak Kumar Ghosh, Samit Ari-A Static Hand Gesture Recognition Algorithm Using K-Mean Based Radial Basis Function Neural Network
[4] HaithamHasan, Sameem Abdul-Kareem, "Humancomputer interaction using vision-based hand gesture recognition systems: a survey", Neural Comput& Applic, 2013
[5] Zhou Ren, Jingjing Meng, Junsong Yuan-Depth Camera Based Hand Gesture Recognition and its Applications in Human-Computer-Interaction
[6] Renqiang Xie, Xia Sun, Xiang Xia, and J.C. Cao. Similarity Matching Based Extensible Hand Gesture Recognition (DECEMBER 2012)
[7] Dharani Mazumdar, Anjan Kumar Talukdar, Kandarpa Kumar Sarma-Gloved and Free Hand Tracking based Hand Gesture Recognition
[8] Jesus Suarez* and Robin R. Murphy-Hand Gesture Recognition with Depth Images: A Review
[9] Amit Gupta, Vijay Kumar Sehrawat, Mamta Khosla, "FPGA Based Real Time Human Hand Gesture Recognition System", Procedia Technology6 ,p p. 98 -107, 2012
[10] HaithamHasan, Sameem Abdul-Kareem, "Humancomputer interaction using vision-based hand gesture recognition systems: a survey", Neural Comput& Applic, 2013.
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