Preventive monitoring of basketball players' knee pads based on IoT wearable devices

The Internet of Things based on the rapid development of Internet intelligence for the wearable device The Internet is where shooting performance can be tracked and remote analysis has prompted us to develop a form of basketball player device. The purpose of this article is to evaluate basketball coaches who use the system with particular emphasis on identifying players using micro sensors. An online survey was conducted by basketball coaches from international basketball related associations and social networking sites. Based on the data, therefore, how player tracking is obtained, as well as the range and players, to promote Wii surveillance, multiple responses, compromised standards at the Licert level, and collected through open-ended questions this research can propose annual scale and real-time analysis, seamless throw movement system design professional basketball player. It depends on angular velocity data. Three different basketball shoes, a built-in motion sensor and threeaxis acceleration data can be collected about. Three basketball dribble, jump, turn around. A new research analysis tool has been developed to shoot the individual ideological actions of each player. Developmental tools have been shown to be closer than conventional knee pads. The results show that the system can accurately estimate the average difference basketball players. In analytical mode, extended wrist activity in other sports can develop the most important player skill level.

Automated summary

This study evaluated the effectiveness of basketball coaches using Internet of Things wearable devices for player tracking and analysis through an online survey.