Brain Interface Based Wheel Chair Control System for Handicap -- An advance and viable approach
Asian Journal of Engineering, Sciences & Technology . Mar2016, Vol. 6 Issue 1, p14-16. 3p This paper presents advancement towards making an efficient and viable wheel chair control system based on brain computer interface via electro-oculogram (EOG) signals. The system utilizes the movement of e...
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creator | Baqar, Mohtashim Ghani, Azfar Aftab, Azeem Khawar, Shahzad Karim |
description | Asian Journal of Engineering, Sciences & Technology . Mar2016,
Vol. 6 Issue 1, p14-16. 3p This paper presents advancement towards making an efficient and viable wheel
chair control system based on brain computer interface via electro-oculogram
(EOG) signals. The system utilizes the movement of eye as the element of
purpose for controlling the movement of the wheel chair. Skin-surface
electrodes are placed over skin for the purpose of acquiring the
electro-oculogram signal and with the help of differential amplifier the
bio-potential is measured between the reference and the point of interest,
afterwards these obtained low voltage pulses are amplified, then passed through
a sallen-key filter for noise removal and smoothening. These pulses are then
collected on to the micro-controller; based on these pulses motor is switched
to move in either right or left direction. A prototype system was developed and
tested. The system showed promising results. The test conducted showed 99.5%
efficiency of movement in correct direction. |
doi_str_mv | 10.48550/arxiv.2004.04860 |
format | Article |
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Vol. 6 Issue 1, p14-16. 3p This paper presents advancement towards making an efficient and viable wheel
chair control system based on brain computer interface via electro-oculogram
(EOG) signals. The system utilizes the movement of eye as the element of
purpose for controlling the movement of the wheel chair. Skin-surface
electrodes are placed over skin for the purpose of acquiring the
electro-oculogram signal and with the help of differential amplifier the
bio-potential is measured between the reference and the point of interest,
afterwards these obtained low voltage pulses are amplified, then passed through
a sallen-key filter for noise removal and smoothening. These pulses are then
collected on to the micro-controller; based on these pulses motor is switched
to move in either right or left direction. A prototype system was developed and
tested. The system showed promising results. The test conducted showed 99.5%
efficiency of movement in correct direction.</description><identifier>DOI: 10.48550/arxiv.2004.04860</identifier><language>eng</language><subject>Computer Science - Human-Computer Interaction</subject><creationdate>2020-04</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2004.04860$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2004.04860$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Baqar, Mohtashim</creatorcontrib><creatorcontrib>Ghani, Azfar</creatorcontrib><creatorcontrib>Aftab, Azeem</creatorcontrib><creatorcontrib>Khawar, Shahzad Karim</creatorcontrib><title>Brain Interface Based Wheel Chair Control System for Handicap -- An advance and viable approach</title><description>Asian Journal of Engineering, Sciences & Technology . Mar2016,
Vol. 6 Issue 1, p14-16. 3p This paper presents advancement towards making an efficient and viable wheel
chair control system based on brain computer interface via electro-oculogram
(EOG) signals. The system utilizes the movement of eye as the element of
purpose for controlling the movement of the wheel chair. Skin-surface
electrodes are placed over skin for the purpose of acquiring the
electro-oculogram signal and with the help of differential amplifier the
bio-potential is measured between the reference and the point of interest,
afterwards these obtained low voltage pulses are amplified, then passed through
a sallen-key filter for noise removal and smoothening. These pulses are then
collected on to the micro-controller; based on these pulses motor is switched
to move in either right or left direction. A prototype system was developed and
tested. The system showed promising results. The test conducted showed 99.5%
efficiency of movement in correct direction.</description><subject>Computer Science - Human-Computer Interaction</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotz81Kw0AUBeDZuJDqA7jyvkDi_DYzyzaoLRRcWHAZbuaHDKSTMAnBvr2xurqHC-fAR8gTo6XUStEXzN9xKTmlsqRSb-k9afYZY4Jjmn0OaD3scfIOvjrve6g7jBnqIc156OHzOs3-AmHIcMDkosURigJ2CdAtmNbu-oUlYtuvcRzzgLZ7IHcB-8k__t8NOb-9nutDcfp4P9a7U4HbihbWmBCUsrIKmjOmmWOSUe65FlZ6Z5TRNjhuKmkpFS1V2BqhuRUeV4sOYkOe_2ZvwmbM8YL52vxKm5tU_AAou0zU</recordid><startdate>20200409</startdate><enddate>20200409</enddate><creator>Baqar, Mohtashim</creator><creator>Ghani, Azfar</creator><creator>Aftab, Azeem</creator><creator>Khawar, Shahzad Karim</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20200409</creationdate><title>Brain Interface Based Wheel Chair Control System for Handicap -- An advance and viable approach</title><author>Baqar, Mohtashim ; Ghani, Azfar ; Aftab, Azeem ; Khawar, Shahzad Karim</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a670-c99ff55c47f821181d14102e283c4ed9598cfd2974c003b05ab9382c3ea0048f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Computer Science - Human-Computer Interaction</topic><toplevel>online_resources</toplevel><creatorcontrib>Baqar, Mohtashim</creatorcontrib><creatorcontrib>Ghani, Azfar</creatorcontrib><creatorcontrib>Aftab, Azeem</creatorcontrib><creatorcontrib>Khawar, Shahzad Karim</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Baqar, Mohtashim</au><au>Ghani, Azfar</au><au>Aftab, Azeem</au><au>Khawar, Shahzad Karim</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Brain Interface Based Wheel Chair Control System for Handicap -- An advance and viable approach</atitle><date>2020-04-09</date><risdate>2020</risdate><abstract>Asian Journal of Engineering, Sciences & Technology . Mar2016,
Vol. 6 Issue 1, p14-16. 3p This paper presents advancement towards making an efficient and viable wheel
chair control system based on brain computer interface via electro-oculogram
(EOG) signals. The system utilizes the movement of eye as the element of
purpose for controlling the movement of the wheel chair. Skin-surface
electrodes are placed over skin for the purpose of acquiring the
electro-oculogram signal and with the help of differential amplifier the
bio-potential is measured between the reference and the point of interest,
afterwards these obtained low voltage pulses are amplified, then passed through
a sallen-key filter for noise removal and smoothening. These pulses are then
collected on to the micro-controller; based on these pulses motor is switched
to move in either right or left direction. A prototype system was developed and
tested. The system showed promising results. The test conducted showed 99.5%
efficiency of movement in correct direction.</abstract><doi>10.48550/arxiv.2004.04860</doi><oa>free_for_read</oa></addata></record> |
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subjects | Computer Science - Human-Computer Interaction |
title | Brain Interface Based Wheel Chair Control System for Handicap -- An advance and viable approach |
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