On deploying the Artificial Sport Trainer into practice

TL;DR

This paper introduces the AST-Monitor, a low-cost embedded device based on Raspberry Pi, designed to automatically monitor cycling training sessions, facilitating the integration of AI into sports training practices.

Contribution

The paper presents a novel, easy-to-mount bike computer with sensor integration and a tailored GUI, enabling automatic monitoring of cycling training sessions.

Findings

Successful deployment in practice demonstrated its monitoring capabilities.

Potential to enhance AI applications in various sports.

Affordable and adaptable hardware design.

Abstract

Computational Intelligence methods for automatic generation of sport training plans in individual sport disciplines have achieved a mature phase. In order to confirm their added value, they have been deployed into practice. As a result, several methods have been developed for generating well formulated training plans on computers automatically that, typically, depend on the collection of past sport activities. However, monitoring the realization of the performed training sessions still represents a bottleneck in automating the process of sport training as a whole. The objective of this paper is to present a new low-cost and efficient embedded device for monitoring the realization of sport training sessions that is dedicated to monitor cycling training sessions. We designed and developed a new bike computer, i.e. the AST-Monitor, that can be mounted easily on almost every bicycle. The aforementioned bike computer is based on the Raspberry Pi device that supports different external sensors for capturing the data during the realization of sport training sessions. An adjusted GUI tailored to the needs of athletes is developed, along with the hardware. The proof of concept study, using the AST-Monitor in practice, revealed the potential of the proposed solution for monitoring of realized sport training sessions automatically. The new device also opens the door for the future utilization of Artificial Intelligence in a wide variety of sports.