A Novel Temporal Coordination Neural Model for Arm Movement Based on 3D-hand Gesture Tracing

摘要

Temporal coordination neural modeling with Cognition between arm movement and grasping movement for gesture tracking is one of the most challenging problems in human-computer interaction. Taking into account the temporal coordination control mechanism between arm extensions and grasping during the 3D hand gesture tracking, this paper studies the properties of cognitive psychology of arm movement in hand tracking. Based on the classic arm extension and grasping neural models, this paper firstly studies the visual channel of arm movement. Then according to the characteristics of the visual channel, this paper constructs the self-organizing neural network model and cerebellar control model which is compatible with visual coordination. The simulation results show that the proposed model can effectively improve the coordination control mechanism and accuracy between arm movement and grasping.