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Multiple Sensors Based Hand Motion Recognition Using Adaptive Directed Acyclic Graph
2017
Applied Sciences
The use of human hand motions as an effective way to interact with computers/robots, robot manipulation learning and prosthetic hand control is being researched in-depth. This paper proposes a novel and effective multiple sensor based hand motion capture and recognition system. Ten common predefined object grasp and manipulation tasks demonstrated by different subjects are recorded from both the human hand and object points of view. Three types of sensors, including electromyography, data glove
doi:10.3390/app7040358
fatcat:rnxndd4qpjcexdi2xr4bsoypli