Research Article

EMG Signal Controlled Wheelchair

by  Sanskruti Agrawal, Yukta Jain, Ganesh Naik, Shubham Soneji, Keyoor Deorukhkar
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 185 - Issue 23
Published: Jul 2023
Authors: Sanskruti Agrawal, Yukta Jain, Ganesh Naik, Shubham Soneji, Keyoor Deorukhkar
10.5120/ijca2023922986
PDF

Sanskruti Agrawal, Yukta Jain, Ganesh Naik, Shubham Soneji, Keyoor Deorukhkar . EMG Signal Controlled Wheelchair. International Journal of Computer Applications. 185, 23 (Jul 2023), 46-48. DOI=10.5120/ijca2023922986

                        @article{ 10.5120/ijca2023922986,
                        author  = { Sanskruti Agrawal,Yukta Jain,Ganesh Naik,Shubham Soneji,Keyoor Deorukhkar },
                        title   = { EMG Signal Controlled Wheelchair },
                        journal = { International Journal of Computer Applications },
                        year    = { 2023 },
                        volume  = { 185 },
                        number  = { 23 },
                        pages   = { 46-48 },
                        doi     = { 10.5120/ijca2023922986 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2023
                        %A Sanskruti Agrawal
                        %A Yukta Jain
                        %A Ganesh Naik
                        %A Shubham Soneji
                        %A Keyoor Deorukhkar
                        %T EMG Signal Controlled Wheelchair%T 
                        %J International Journal of Computer Applications
                        %V 185
                        %N 23
                        %P 46-48
                        %R 10.5120/ijca2023922986
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

EMG Signal Controlled Wheelchair is one possible way to help amputees, quadriplegics and people with limb impairment in day-to-day locomotion. The design described in this paper aims to enable movement by simple hand twitches. The paper describes the project from conceptualization to implementation. The EMG signals detected through electrodes undergo Signal Acquisition System and provide digital output to the microcontroller which in turn drives the respective motor. The Control Code is designed as when the person twitches its left or right hand the wheelchair turns left or right respectively and when both twitched simultaneously the wheelchair moves forward.

References
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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Signal Acquisition System Surface Electrodes

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