Hand Gesture Recognition

Noor, Muhammad Ayaz Reg # 22857; Ali, Syed Talha Reg # 22910; Tariq, Mustafa Bin Reg # 22885

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dc.contributor.author	Noor, Muhammad Ayaz Reg # 22857
dc.contributor.author	Ali, Syed Talha Reg # 22910
dc.contributor.author	Tariq, Mustafa Bin Reg # 22885
dc.date.accessioned	2017-06-21T04:11:32Z
dc.date.available	2017-06-21T04:11:32Z
dc.date.issued	2014-09
dc.identifier.uri	http://hdl.handle.net/123456789/1904
dc.description	Supervised by Engr. Hina Shakir	en_US
dc.description.abstract	Lot of efforts have already been done and many steps taken in the development of human machine interactions but like all other fields there has always been a room for some advancement in this area also. Using this idea of human machine interaction, the work on hand-gesture recognition system was carried out. This system would be best suited for those disabled person who cannot speak. Hand gesture recognition system can be used for interfacing between computer and human. This work presents a technique for a humanmachine- computer interface through hand gesture recognition that is able to recognize 8 static gestures from the American Sign Language (ASL). The objective of this project is to develop an algorithm for recognition of hand gestures. Efforts have been done that the system be as fast and accurate as possible.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Bahria University Karachi Campus	en_US
dc.title	Hand Gesture Recognition	en_US
dc.type	Thesis	en_US