Digital Jewellery and Machine Learning Methods for Analysing Player Performance in Sports

Abstract

This paper is aimed at a portable device as well as a system for discovering and documenting biometric and movement information from sporting events. Generally sports person’s temperature and heart can be measured by the digital jewellery. Not only that, it can also track arm movement and find movements with an inertial unit of measure. The device can be useful for a variety of amateur and professional sports applications, as well as health tracking. Due to its size and minimal body fat, digital wearable devices are more suitable sports like golf or tennis clubs where almost additional load on the arms is likely to disturb the player and affect player performance. Standard signal processing is completed directly in the handset; however, for more sophisticated signal analysis, information can be routed over the global network to some assistance in the cloud where it can be processed through a special application. The device will be powered by a light weight battery and will have approximately 6 hours of freedom at peak performance.