Development of Sensory Virtual Reality Interface Using EMG Signal-Based Grip Strength Reflection System

Author:

Shin Younghoon1,Lee Miran2

Affiliation:

1. Graduate School of IT Convergence Engineering, Daegu University, Gyeongsan 38453, Republic of Korea

2. Department of Computer and Information Engineering, Daegu University, Gyeongsan 38453, Republic of Korea

Abstract

In virtual reality (VR), a factor that can maximize user immersion is the development of an intuitive and sensory interaction method. Physical devices such as controllers or data gloves of existing VR devices are used to control the movement intentions of the user, but their shortfall is that grip strength and detailed muscle strength cannot be reflected. Therefore, this study intended to establish a more sensory VR environment compared to existing methods by reflecting the grip strength of the flexor digitorum profundus of the user of the VR content. In this experiment, the muscle activity of the flexor digitorum profundus was obtained from six subjects based on surface electromyography, and four objects with differing intensity were created within a VR program in which the objects were made to be destroyed depending on muscle activity. As a result, satisfaction was improved because the users could sensitively interact with the objects inside the VR environment, and the intended motion control of the user was reflected in the VR content.

Funder

Korea Institute for Advancement of Technolog

Publisher

MDPI AG

Reference15 articles.

1. Metaverse App Market and Leisure: Analysis on Oculus Apps;Kim;Knowl. Manag. Res.,2022

2. Evaluation and Analysis of VR Content Dementia Prevention Training based on Musculoskeletal Motion Tracking;Lee;J. Korea Multimed. Soc.,2020

3. A Study on the Relationship of Distraction Factors, Presence, Flow, and Learning Effects in HMD—Based Immersed VR Learning;Kwon;J. Korea Multimed. Soc.,2018

4. A Study on Efficiency of the Experience Oriented Self-directed Learning in the VR Vocational Training Contents;Shin;J. Knowl. Inf. Technol. Syst.,2019

5. Analysis of Visual Attention of Students with Developmental Disabilities in Virtual Reality Based Training Contents;Jo;J. Korea Multimed. Soc.,2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3