Evaluation of Hand Movement Using IoT-Based Goniometric Data Acquisition Glove

Assessment of movements across various finger joints is essential for assisting physiotherapists in the detection of the harm & impairment caused due to injuries on the human hand and to determine its recovery. A soft hand glove with flex sensors has been developed to measure angular finger MetaCarpoPhalangeal (MCP) and ProximalInterPhalangeal (PIP) joint movements of the human hands. These gloves are designed for both hands and are used to record real-time information of the joint angular movements of all four fingers and the thumb of both sides, through an electromechanical interface. The data is stored on cloud which is accessible by both the doctor and the patient through an app. The data is further used to quantify the impairment and recovery rate of patients after physiotherapy sessions. The data can further be standardized for the comparison between healthy and unhealthy individual suffering from joint related disease.