The present technique provides a dynamic assessmentrehabilitation system for balance hypofunctionvertigo patients clinically. This development comprises four subsystems. The sensing subsystems were installed to measure the motions of the subjectsto convert those signals to interact with the control system. Furthermore, in the sensing subsystem, an inertial measurement unitan image module were used to observe posturemovement during the experiment. On the top of the frame of the platform, a monitor was used to implement the locomotionvisual acuity test.

Through patented wearable sensor fusion technology, human 3D motions can be captured in real-time which allow 7-DOF robotic armdexterous robotic hand to perform anthropomorphic motiongrasping action. Integrated with eye-in-hand visual module, the adaptive gripper can intelligently decide optimal grasping strategy to ensure success grasping of arbitrary shape of objects in smart manufacturing applications.