A New AR-Based Framework For Wrist Assessment And Rehabilitation

Abstract

The existing rehabilitation systems based on augmented reality (AR) are lacking of the targeted training of joint and requiring a large number of auxiliary equipment. This paper proposes a novel framework for wrist-rehabilitation assessment and training that integrates AR technology with kinesiotherapy and occupational therapy in rehabilitation medicine, which focuses on coaching patients to wrist radial and ulnar deviation rehabilitation at any time and any place. Particularly, an AR-based water-droplet training game, suggested by clinical doctors in hospital, is developed to improve the flexibility of the wrist movement. The effect of rehabilitation can be achieved by measuring the range of motion (ROM) of the wrist. Finally, the evaluation scheme of this framework is designed in detail.

A Novel Algorithm of Kinematics Parameters Measurement for Upper Limb Based on Motion Capture

“…[8] propose a multi-rigid real-time tracking system based on the upper limb kinematic chain algorithm to achieve shoulder and elbow joint angle measurement, in which Kalman filter is used to improve the system robustness, while the algorithm does not involve the measurement of the wrist joint kinematic parameters. Since wrist joint injury has a great influence on the fine movement of the hand and even the activity of the upper limb [9], it is indispensable to distinguish the degree of wrist joint injury and adopt effective rehabilitation methods in time [10]. Nguyen at el.…”