This paper describes the fundamental research results obtained by adding the sensory information to the activity state evaluation of muscle movement. The purpose of this study is to show the engineering evaluation results of the activity state of the muscle by sEMG(surface ElectroMyoGraphy) using the visual information that biofeedback is made. No evaluation method has the visual information, from being affected by the auxiliary cooperative muscles, not efficient. How to sEMG and biofeedback that information that indicates the active state of muscles, it is effective for the intended activation of designated muscle. Integration of visual information and the biofeedback of muscle activity recognition lead to more effective activation of muscle activity, and for a short time exercise at a low load time.