A multimedia non-invasive e-Therapy framework for measuring live kinematic data

Abstract

In this paper we present an e-Therapy framework that can dynamically provide therapy services to a patient and therapist. Using off the shelf 3D depth sensing video camera and motion control sensors, the framework can detect, recognize and track 18 different therapeutic movements originated from 7 different joints of a Hemiplegic patient and deduce live kinematic data from these movements. The framework can detect flexion-extension of forearm at fingers, elbow, shoulder, hip, knee and vertebral columns; adduction-abduction motion at hip and at shoulder joint; and rotational motions of forearm such as pronation and supination. The obtained therapeutic data consists of a wide span of body joint and motion parameters that is assumed to help medical professionals in their clinical decision making. The proposed method is non-invasive as the patient does not need to wear any external devices in the body. Finally, we share our initial test result that is encouraging.