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Electromyogram (EMG) driven system based virtual reality for prosthetic and rehabilitation devices

Authors:

Ricardo A. OlivaresAuthors Info & Claims

iiWAS '09: Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services

Pages 582 - 586

https://doi.org/10.1145/1806338.1806448

Published: 14 December 2009 Publication History

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Abstract

The users of current prosthetic and rehabilitation devices are facing problems to adapt to their new hosts or not receiving any bio-feedback despite rehabilitation process and retraining, particularly when working with Electromyogram (EMG) signals. In characterizing virtual human limbs, as a potential prosthetic device in 3D virtual reality, patients are able to familiarize themselves with their new appendage and its capabilities in a virtual training environment or can see their movements' intention. This paper presents a Virtual Reality (VR) based design and implementation of a below-shoulder 3D human arm capable of 10-class EMG based motions driven system of biomedical EMG signal.

The method considers a signal classification output as potential control stimulus to drive the virtual prosthetic prototype. A hierarchical design methodology is adopted based on anatomical structure, congruent with Virtual Reality Modeling Language (VRML) architecture. The resulting simulation is based on a portable, self-contained VR model implementation paired with an instrumental virtual control-select board capable of actuating any combinations of singular or paired kinematic 10-class EMG motions. The built model allows for multiple degree of freedom profiles as the classes can be activated independently or in conjunction with others allowing enhanced arm movement.

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AYDOĞAN İAKMAN AYDIN E(2023)Wearable Electromyogram Design for Finger Movements Based Real-Time Human-Machine InterfacesParmak Hareketlerine Dayalı Gerçek Zamanlı İnsan-Makine Arayüzleri için Giyilebilir Elektromiyogram TasarımıPoliteknik Dergisi10.2339/politeknik.111794726:2(973-981)Online publication date: 5-Jul-2023
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Electromyogram (EMG) driven system based virtual reality for prosthetic and rehabilitation devices

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Published In

iiWAS '09: Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services

December 2009

763 pages

ISBN:9781605586601

DOI:10.1145/1806338

General Chair:
Gabriele Kotsis
Johannes Kepler University Linz, Austria
,
Program Chairs:
David Taniar
Monash University, Australia
,
Eric Pardede
La Trobe University, Australia

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 14 December 2009

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iiWAS '09

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iiWAS '09: 11th International Conference on Information Integration and Web-based Applications & Services

December 14 - 16, 2009

Kuala Lumpur, Malaysia

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Sehrt JFerreira LWeyers KMahmood AKosch TSchwind V(2024)Improving Electromyographic Muscle Response Times through Visual and Tactile Prior Stimulation in Virtual RealityProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642091(1-17)Online publication date: 11-May-2024
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Trunov ADronyuk IMartynenko VSkopenko ISkoroid M(2024)Expanding the Possibilities of Video Surveillance Monitoring and Recovery Procedures for Post-stroke PatientsDigital Ecosystems: Interconnecting Advanced Networks with AI Applications10.1007/978-3-031-61221-3_37(762-781)Online publication date: 30-Jul-2024
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