利用传感器数据和相邻肢体段相互关联的特点,根据人体运动特征建立了层次化结构的虚拟人运动模型,通过微型传感器采集的数据驱动虚拟人每个关节旋转,计算出关节的旋转角度,给出基于下肢运动的人体位移的计算方法。最后采用微型传感器数据和前向动力学相结合的方法对虚拟人运动进行控制,实现人体运动的重现。
Based on relation between micro sensor and interrelated body segments, a layered virtual human motion model is established according to the randomness and nonlinearity of human body motion. The micro sensor data is applied to drive the joints and then the rotation angle of each joint is calculated. We present an algorithm to get the movements of the lower limbs, and combine the sensor data with the forward kinematics to control the motion of virtual human so that the real human motion can be virtualized.