Vision based dynamic hand gesture recognition for human computer interaction

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dc.contributor.author Bhuyan, Manas Kamal
dc.date.accessioned 2020-08-26T06:03:04Z
dc.date.available 2020-08-26T06:03:04Z
dc.date.issued 2006
dc.identifier.other ROLL NO.02610203
dc.identifier.uri http://gyan.iitg.ernet.in/handle/123456789/1621
dc.description Supervisors: Debashis Ghosh and Prabin Kumar Bora en_US
dc.description.abstract With the increased interest in human-computer interaction (HCI), there has been rapid growth of research related to gesture recognition in recent years. Hand gesture recognition from visual images forms an important part of this research. This thesis reports on our research on recognition of dynamic hand gestures having different spatio-temporal characteristics. We develop methods to recognize dynamic hand gestures with (1) local hand motion only where only the fingers and the palm move without any movement of the whole hand, (2) global motion only where the hand as a whole move in space to make different gestures, and (3) both local and global motions where the fingers and palm create different hand poses as the arm traverses along a trajectory in space. We use the concept of object-based video abstraction for segmenting the frames into video object planes (VOPs) with each VOP corresponding to one semantically meaningful hand pose or position in space. A gesture is represented as a sequence of key video object planes (key VOPs) that correspond to significantly different VOPs in the vide sequence. en_US
dc.language.iso en en_US
dc.relation.ispartofseries TH-1870;
dc.subject ELECTRONICS AND ELECTRICAL ENGINEERING en_US
dc.title Vision based dynamic hand gesture recognition for human computer interaction en_US
dc.type Thesis en_US


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