[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.9708/jksci.2021.26.10.053

A VR-based pseudo weight algorithm using machine learning

Park, Sung-Jun (Company of DataReality)

Publication Information

Journal of the Korea Society of Computer and Information / v.26, no.10, 2021 , pp. 53-59 More about this Journal

Abstract

In this paper, we propose a system that can perform dumbbell exercise by recognizing the weight of dumbbells without wearing and device. With the development of virtual reality technnology, many studies are being conducted to simulate the pysical feedback of the real world in the virtual world. Accurate motion recognition is important to the elderly for rehabilitation exercises. They cannot lift heavy dumbbells. For rehabilitation exercise, correct body movement according to an appropriate weight must be performed. We use a machine learning algorithm for the accuracy of motion data input in real time. As an experiment, we was test three types of bicep, double, shoulder exercise and verified accuracy of exercise. In addition, we made a virtual gym game to actually apply these exercise in virtual reality.

Keywords

Pseudo Weight; Virtual Reality; Machine Learning; rehabilitation exercise; Virtual Gym;

Citations & Related Records

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