The invention discloses a gesture identification human-simulated mechanical arm system based on multi-sensor fusion and a synchronizing method and relates to the field of gesture identification. Movement states of human fingers are collected by a first sensor in a collection device and transferred to a mechanical arm, the mechanical arm controls mechanical arm fingers to perform corresponding gesture movements through a steering engine after receiving the movement state information of the human fingers, and thus synchronization of the mechanical arm finger movements and the human finger movements is achieved. The sensors directly collect the movement states of the human fingers, the manner that in the prior art, images are collected through a camera for gesture identification is replaced, and the problems that the image processing technology requirement is high, later-period maintenance and correction are not facilitated, error judgment and leakage judgment are generated easily, and the price is high are solved.
Gesture identification human-simulated mechanical arm system based on multi-sensor fusion and synchronizing method