Development of tele-rehabilitation module for various shoulder disease based on artificial intelligence using smartwatch

Abstract

Recently, mankind are facing a new era of the fourth industrial revolution. In this era, the interest in IoT(Internet on Things) and A.I.(Artificial Intelligence) technology is increasing day by day. Based on those technology and smartwatch, we developed a home rehabilitation system. This system is designed to learn human activity by supervised learning algorithm and classify home exercise for recording each exercise and time. We hypothesized that the system can elicit motivation for home exercise and help outpatient clinic doctor by the record of exercise. Therefore, in this thesis, we studied (1) the development of home exercise system for human activity recognition based on A.I. technology and smartwatch and (2) evaluated the clinical effectiveness of home exercise system by utilizing the system for the patient post stroke and rotator cuff repair.