Modernized IoT-based Intelligent Helmet System to Monitor and Protect Sportsman

Abstract

The applications of the Internet of Things (IoT) model and their ability to aggregate real-time data from wireless sensors shed the light to develop new IoT-based technological systems to monitor and protect the health of sportsmen. In this paper, a new modernized IoT-based approach is proposed for monitoring the head of the sportsman using a concussion sensor (3-Axis Accelerometer Module GY-61) mounted on the top of the helmet to detect any sudden and improper hits. Furthermore, another sensor for measuring the temperature is also added to the helmet in order to monitor the temperature of sportsman. Those sensors are worked together for continuously monitoring any abnormal hits, especially on the head part of the human body. When an abnormal hits or any concussion occurs, the human body responds by increasing the temperature due to the brain movement inside the skull. Consequently, the proposed system will directly alert medical staff about any abnormal and dangerous hit by sending sensor readings. An experimental process is conducted to test and evaluate the proposed system using a real case study applied on the boxing helmet in a realistic style during match. Results showed that the proposed helmet system outperforms similar state-of-the-art systems by the mean of accuracy and response time. The accuracy reaches 96% with different types of matches.