Neuromuscular electrical stimulation (NMES) has been widely used in rehabilitation hubs to restore or replace the motor function of individuals who have upper neuron damage such as stroke and spinal cord injury. However, the utilization of sensors in NMES is limited and results in the lack of data for upper limb movement analysis. The proposed system implemented NMES integrated with human-to-human interface (HHI) in the rehabilitation process for stroke patients. The therapist (controller) can coach the motion of patients (subject) by injecting his own signal for patients to follow. Ten (10) subjects were tested with five (5) repeating trials. The EMG value was extracted from the finger flexion and extension at the controller side, then injected into the control unit for further stimulation of the subject. In order to evaluate the repeating motion by the subject, an accelerometer was attached to the finger. Performance evaluation of the subject was executed by comparing the flexion angle with the controller side. The result showed that the error of the system was less than 10.29 % for the first trial and gradually reduced to 1 % after 5 trials.