Solar powered wheel chair for physically challenged people using surface EMG signal

Shamim Kaiser; Zamshed I. Chowdhury; Shamim Mamun; Amir Hussain; Mufti Mahmud

doi:10.1109/SSCI.2015.123

Solar powered wheel chair for physically challenged people using surface EMG signal

Shamim Kaiser
, Zamshed I. Chowdhury
, Shamim Mamun
, Amir Hussain
, Mufti Mahmud

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

This paper presents the design of low cost solar powered wheel chair for physically challenged people. The signals necessary to maneuver the wheel chair are acquired from different muscles of the hand using surface Electromyography (sEMG) technique. The raw sEMG signals collected from upper limb muscles are processed to extract the desired direction of movement for the wheel chair. The accuracy of the extracted EMG signals is found to be relatively high. A prototype is developed and tests verified the objective functionalities. The analysis of life cycle cost of the solar powered wheel chair is presented. It is found that the proposed wheel chair is financially feasible for developing countries.

Original language	English
Title of host publication	Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	833-836
Number of pages	4
ISBN (Electronic)	9781479975600
DOIs	https://doi.org/10.1109/SSCI.2015.123
State	Published - 2015
Externally published	Yes

Publication series

Name	Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

ASJC Scopus subject areas

Artificial Intelligence

Access to Document

10.1109/SSCI.2015.123

Cite this

Kaiser, S., Chowdhury, Z. I., Mamun, S., Hussain, A., & Mahmud, M. (2015). Solar powered wheel chair for physically challenged people using surface EMG signal. In Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015 (pp. 833-836). Article 7376698 (Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSCI.2015.123

Kaiser, Shamim ; Chowdhury, Zamshed I. ; Mamun, Shamim et al. / Solar powered wheel chair for physically challenged people using surface EMG signal. Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 833-836 (Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015).

@inproceedings{b23b6cf25f504e8cb3c0089dbc69ab05,

title = "Solar powered wheel chair for physically challenged people using surface EMG signal",

abstract = "This paper presents the design of low cost solar powered wheel chair for physically challenged people. The signals necessary to maneuver the wheel chair are acquired from different muscles of the hand using surface Electromyography (sEMG) technique. The raw sEMG signals collected from upper limb muscles are processed to extract the desired direction of movement for the wheel chair. The accuracy of the extracted EMG signals is found to be relatively high. A prototype is developed and tests verified the objective functionalities. The analysis of life cycle cost of the solar powered wheel chair is presented. It is found that the proposed wheel chair is financially feasible for developing countries.",

author = "Shamim Kaiser and Chowdhury, \{Zamshed I.\} and Shamim Mamun and Amir Hussain and Mufti Mahmud",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.",

year = "2015",

doi = "10.1109/SSCI.2015.123",

language = "English",

series = "Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "833--836",

booktitle = "Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015",

address = "United States",

}

Kaiser, S, Chowdhury, ZI, Mamun, S, Hussain, A & Mahmud, M 2015, Solar powered wheel chair for physically challenged people using surface EMG signal. in Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015., 7376698, Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015, Institute of Electrical and Electronics Engineers Inc., pp. 833-836. https://doi.org/10.1109/SSCI.2015.123

Solar powered wheel chair for physically challenged people using surface EMG signal. / Kaiser, Shamim; Chowdhury, Zamshed I.; Mamun, Shamim et al.
Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 833-836 7376698 (Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Solar powered wheel chair for physically challenged people using surface EMG signal

AU - Kaiser, Shamim

AU - Chowdhury, Zamshed I.

AU - Mamun, Shamim

AU - Hussain, Amir

AU - Mahmud, Mufti

PY - 2015

Y1 - 2015

N2 - This paper presents the design of low cost solar powered wheel chair for physically challenged people. The signals necessary to maneuver the wheel chair are acquired from different muscles of the hand using surface Electromyography (sEMG) technique. The raw sEMG signals collected from upper limb muscles are processed to extract the desired direction of movement for the wheel chair. The accuracy of the extracted EMG signals is found to be relatively high. A prototype is developed and tests verified the objective functionalities. The analysis of life cycle cost of the solar powered wheel chair is presented. It is found that the proposed wheel chair is financially feasible for developing countries.

AB - This paper presents the design of low cost solar powered wheel chair for physically challenged people. The signals necessary to maneuver the wheel chair are acquired from different muscles of the hand using surface Electromyography (sEMG) technique. The raw sEMG signals collected from upper limb muscles are processed to extract the desired direction of movement for the wheel chair. The accuracy of the extracted EMG signals is found to be relatively high. A prototype is developed and tests verified the objective functionalities. The analysis of life cycle cost of the solar powered wheel chair is presented. It is found that the proposed wheel chair is financially feasible for developing countries.

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U2 - 10.1109/SSCI.2015.123

DO - 10.1109/SSCI.2015.123

M3 - Conference contribution

AN - SCOPUS:84964928689

T3 - Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015

SP - 833

EP - 836

BT - Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Kaiser S, Chowdhury ZI, Mamun S, Hussain A, Mahmud M. Solar powered wheel chair for physically challenged people using surface EMG signal. In Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 833-836. 7376698. (Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015). doi: 10.1109/SSCI.2015.123

Solar powered wheel chair for physically challenged people using surface EMG signal

Abstract

Publication series

Bibliographical note

UN SDGs

ASJC Scopus subject areas

Access to Document

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Cite this