Abstract | ||
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In this paper, we propose a motion-path based gesture recognition technique and show its application in a smart home environment. Users hand gestures are recognized by capturing the motion-path while they draw different symbols in the air. In order to capture the motion-path, we use infra-red camera's IR sensing capability. The IR camera tracks the infra-red emitter attached to the user's hand gloves and produces a sequence of motion-points, which are then analyzed syntactically to recognize the intended hand gesture. The recognized gesture is used to interact with the intelligent environment for accessing various services. Toggling a lamp switch, changing the light intensity, and playing/pausing a movie are few examples where we have integrated the gesture-based interaction. Our experiment shows that the proposed gesture recognition technique is robust and its use in the smart home environment is interesting and appealing to the people. |
Year | DOI | Venue |
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2009 | 10.1145/1631272.1631407 | ACM Multimedia 2001 |
Keywords | Field | DocType |
ambient media services,gesture-based interaction,hand gesture,smart home environment | Intelligent environment,Interaction technique,Computer vision,Computer science,Gesture,Gesture recognition,Home automation,Artificial intelligence,Ir camera,Multimedia | Conference |
Citations | PageRank | References |
17 | 0.88 | 6 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
ASM Mahfujur Rahman | 1 | 45 | 4.18 |
M. Anwar Hossain | 2 | 876 | 50.83 |
Jorge Parra | 3 | 93 | 6.66 |
Abdulmotaleb El-Saddik | 4 | 2416 | 248.48 |