Abstract
People of all ages have suffered impairment in traffic accidents or sport accidents, and these individuals worry about dysfunction of their upper limbs, but they can recover from dysfunction by rehabilitation. In this study, we developed an assistive robot for upper limb movement that has high rehabilitation effectiveness. To achieve this, we proposed an algorithm of a dynamic filter for decrease the noise and the delay of the device for the motion assist robot. This filter changes the cutoff frequency depending on amount of input change. The robot supports his movement only when he flexes his arm. The effectiveness of our method is shown through experiments.
