Article

HaWCoS: the "hands-free" wheelchair control system

Authors:

Torsten Felzer,

Bernd FreislebenAuthors Info & Claims

Assets '02: Proceedings of the fifth international ACM conference on Assistive technologies

Pages 127 - 134

https://doi.org/10.1145/638249.638273

Published: 08 July 2002 Publication History

Abstract

A system allowing to control an electrically powered wheelchair without using the hands is introduced. HaWCoS -- the "Hands-free" Wheelchair Control System -- relies upon muscle contractions as input signals. The working principle is as follows. The constant stream of EMG signals associated with any arbitrary muscle of the wheelchair driver is monitored and reduced to a stream of contraction events. The reduced stream affects an internal program state which is translated into appropriate commands understood by the wheelchair electronics. The feasibility of the proposed approach is illustrated by a prototypical implementation for a state-of-the-art wheelchair. Operating a HaWCoS-wheelchair requires extremely little effort, which makes the system suitable even for people suffering from very severe physical disabilities.

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Cited By

Manero AMcLinden SSparkman JOskarsson B(2022)Evaluating surface EMG control of motorized wheelchairs for amyotrophic lateral sclerosis patientsJournal of NeuroEngineering and Rehabilitation10.1186/s12984-022-01066-819:1Online publication date: 14-Aug-2022
https://doi.org/10.1186/s12984-022-01066-8
Khan MSaibene MDas RBrunner IPuthusserypady S(2021)Emergence of flexible technology in developing advanced systems for post-stroke rehabilitation: a comprehensive reviewJournal of Neural Engineering10.1088/1741-2552/ac36aa18:6(061003)Online publication date: 2-Dec-2021
https://doi.org/10.1088/1741-2552/ac36aa
Dutta SChaudhuri AChakraborty A(2021)Low Cost IoT-Based Smart Wheelchair for Type-2 Diabetes and Spine-Disorder PatientsApplications of Artificial Intelligence in Engineering10.1007/978-981-33-4604-8_69(855-862)Online publication date: 11-May-2021
https://doi.org/10.1007/978-981-33-4604-8_69
Show More Cited By

Index Terms

HaWCoS: the "hands-free" wheelchair control system

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Published In

cover image ACM Conferences

Assets '02: Proceedings of the fifth international ACM conference on Assistive technologies

July 2002

238 pages

ISBN:1581134649

DOI:10.1145/638249

Conference Chair:
Vicki L. Hanson
IBM T. J. Watson Research Center
,
Program Chair:
Julie A. Jacko
Georgia Institute of Technology

Copyright © 2002 ACM.

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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Published: 08 July 2002

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ASSETS02

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ASSETS02: The 5th ACM SIGCAPH Conference on Assistive Technologies

July 8 - 10, 2002

Edinburgh, Scotland

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Assets '02 Paper Acceptance Rate 31 of 76 submissions, 41%;

Overall Acceptance Rate 436 of 1,556 submissions, 28%

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Cited By

Manero AMcLinden SSparkman JOskarsson B(2022)Evaluating surface EMG control of motorized wheelchairs for amyotrophic lateral sclerosis patientsJournal of NeuroEngineering and Rehabilitation10.1186/s12984-022-01066-819:1Online publication date: 14-Aug-2022
https://doi.org/10.1186/s12984-022-01066-8
Khan MSaibene MDas RBrunner IPuthusserypady S(2021)Emergence of flexible technology in developing advanced systems for post-stroke rehabilitation: a comprehensive reviewJournal of Neural Engineering10.1088/1741-2552/ac36aa18:6(061003)Online publication date: 2-Dec-2021
https://doi.org/10.1088/1741-2552/ac36aa
Dutta SChaudhuri AChakraborty A(2021)Low Cost IoT-Based Smart Wheelchair for Type-2 Diabetes and Spine-Disorder PatientsApplications of Artificial Intelligence in Engineering10.1007/978-981-33-4604-8_69(855-862)Online publication date: 11-May-2021
https://doi.org/10.1007/978-981-33-4604-8_69
K. UNayak SChampaty BThakur GMohapatra BTibarewala DPal K(2020)Development of a Surface EMG-Based Control System for Controlling Assistive DevicesRobotic Systems10.4018/978-1-7998-1754-3.ch040(765-785)Online publication date: 2020
https://doi.org/10.4018/978-1-7998-1754-3.ch040
Kutbi MDu XChang YSun BAgadakos NLi HHua GMordohai P(2020)Usability Studies of an Egocentric Vision-Based Robotic WheelchairACM Transactions on Human-Robot Interaction10.1145/339943410:1(1-23)Online publication date: 20-Jul-2020
https://dl.acm.org/doi/10.1145/3399434
Fereidouni SSheikh Hassani MTalebi ARezaie A(2020)A novel design and implementation of wheelchair navigation system using Leap Motion sensorDisability and Rehabilitation: Assistive Technology10.1080/17483107.2020.178673417:4(442-448)Online publication date: 7-Jul-2020
https://doi.org/10.1080/17483107.2020.1786734
Sharmila A(2020)Hybrid control approaches for hands-free high level human–computer interface-a reviewJournal of Medical Engineering & Technology10.1080/03091902.2020.183864245:1(6-13)Online publication date: 16-Nov-2020
https://doi.org/10.1080/03091902.2020.1838642
Ohashi SAochi MShionoya ATsuchida K(2019)Distinguishing Road Surface Conditions for Wheelchair UsersProceedings of the 7th ACIS International Conference on Applied Computing and Information Technology10.1145/3325291.3325377(1-6)Online publication date: 29-May-2019
https://dl.acm.org/doi/10.1145/3325291.3325377
Kadomatsu HSudo SNakashima YYamamoto M(2019)Physical Burden on Caregivers Pushing Wheelchairs2019 IEEE/SICE International Symposium on System Integration (SII)10.1109/SII.2019.8700400(401-405)Online publication date: Jan-2019
https://doi.org/10.1109/SII.2019.8700400
Manero AOskarsson BSparkman JSmith PDombrowski MPeddinti MRodriguez AVila JJones B(2019)Xavier Electromyographic Wheelchair Control and Virtual TrainingVirtual, Augmented and Mixed Reality. Multimodal Interaction10.1007/978-3-030-21607-8_10(133-142)Online publication date: 26-Jul-2019
https://dl.acm.org/doi/10.1007/978-3-030-21607-8_10
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