Real-time interactive motion control of virtual human in virtual maintenance based on limited information

Abstract

In order to provide a simple and efficient approach to perform the real-time interactive motion control of virtual human in virtual maintenance environment (VME), the motion control method of virtual human based on limited input information is proposed. With the space position tracking system with only one sensor the action sequences and motion models of virtual human, the human motions and hand actions in VME are driven by the sensor data in stages and in real time through the transmission condition control in the process of maintenance operation. And the input data and information is processed based on the method of Kalman filtering and wavelet transforming to improve the control effects. An experimental VME is also established to validate the control efficiency, and the experiment results show that the space motion control of virtual human in VME can be performed based on limited information with proposed control strategy.