Data analytics on interactive indoor cycling exercises with virtual reality video games

Abstract

This paper presents a project development on interactive Indoor cycling exercise with virtual reality (VR) video games. Users body exercise movement on cycling while focusing on virtual reality video games are presented and analysed. The project would motivate citizen to increase their health and stamina while experiences with fun games in doing exercises. The objective is to design a prototype exercises bicycle that can control VR game using smartphone power by Arduino Uno controller. Secondly, communications control with wireless connection between Arduino Uno and smartphone is developed. Then data collection and analysed on users' exercise of the prototype VR bicycle is presented on heartbeat rate, cycle speed, game finishing time, travelled distance and stamina levels. The methodology comprised of hardware, software and programming system development using paddling sensor, handling sensor and balancing sensor for collected data. Deep data analytics on health and stamina levels are measured and analysed using Fusionex GIANT platform. Result presents a prototype of Interactive Indoor exercise cycling movement with video games is programmed to makes an enjoy movement while data analytics is presented from the movement of the human body. Analytics data on heartbeat, speed of cycling, time taken to finish, travelled distance and stamina levels on the gaming challenge are analysed. This project benefits to society to keep their fitness and healthy activities with fun games. Prototype also benefits stroke patients for bike exercises assistant.