IoT-Based Motion Tracking System for Orthopedic Patients and Athletes

Abstract

Smart exercises are reliable and motivating activities that reduce the possibility of injury, and improve the muscle-bone system. When it is made unconscious movements, it can cause either harm to her/his body or slow down the development of exercise. In this study, it is aimed to study both orthopedic patients and athletes. Thanks to the developed algorithm and equipment, the main theme is doing the exercise correctly in given plan within the personal limits. Depending on the purpose of use, according to the program planned by the doctor or trainer, the system gives a notification when a person (after wears the elbow / knee brace) performs the desired movement with the desired degree. The person understands that the movement has been made successfully from this alert. The processes that continue until reaching the result of the exercise can be stored simultaneously on the ThingSpeak Cloud Platform and can be monitored on the linear graph with the via wireless network. With the developed mobile application, the person can instantly see the angle of movement and the application can instantly send and / or call the doctor / trainer. In this system design based on the Internet of Things, the NodeMCU 12E board including ESP8266 Wi-Fi module, knee pad / elbow pad, Flex sensor were used.