Analyzing Hand Therapy Success in a Web-Based Therapy System

Abstract

After an injury, hand therapy should help regaining the full functionality of the hand, wrist and fingers. The application we developed helps a therapist in tracking the success of the therapy. Using the Leap Motion device as a basis, we calculate the individual finger joint angles. A second subsystem measures the angles between the fingers. This data is used to derive a report on the fingers‘ adduction and abduction during the therapy. The third subsystem detects the wrist rotation angles. Three algorithms were designed to detect the patient hand data, which the system feeds it to the three subsystems, the final algorithm max average error is 5.6 degrees, while the average max error is 9.3 degrees. The web-based system is part of a therapy support system, which allows patients to do their exercise at home and record their individual success.