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Mind-controlled wheelchair

A mind-controlled wheelchair is a motorized wheelchair controlled by a brain–computer interface. Such a wheelchair could be of great importance to patients with locked-in syndrome (LIS), in which a patient is aware but cannot move or communicate verbally due to complete paralysis of nearly all voluntary muscles in the body except the eyes. Such wheelchairs can also be used in case of muscular dystrophy, a disease that weakens the musculoskeletal system and hampers locomotion.

Mind-controlled wheelchair
Diwakar Vaish at the press launch of his mind-controlled wheelchair.
ClassificationWheelchair
IndustryVarious
ApplicationConveyance, paralysis mobility
Fuel sourceElectric
PoweredYes
Self-propelledYes
Wheels4
InventorDiwakar Vaish
Invented2016

History edit

The technology behind brain or mind control goes back to at least 2002, when researchers implanted electrodes into the brains of macaque monkeys, which enabled them to control a cursor on a computer screen. Similar techniques were able to control robotic arms and simple joysticks.[1] In 2009, researchers at the University of South Florida developed a wheelchair-mounted robotic arm that captured the user's brain waves and converted them into robotic movements. The Brain-Computer Interface (BCI), which captures P-300 brain wave responses and converts them to actions, was developed by USF psychology professor Emanuel Donchin and colleagues. The P-300 brain signal serves a virtual "finger" for patients who cannot move, such as those with locked-in syndrome or those with Lou Gehrig's Disease (ALS).[2]

 
Diwakar Vaish, the inventor of the wheelchair during press ceremony

The first mind-controlled wheelchair reached production in 2016. It was designed by Diwakar Vaish, Head of Robotics and Research at A-SET Training & Research Institutes.[3][4][5]

In November of 2022, the University of Texas at Austin developed a mind-controlled wheelchair using an EEG device.[6] In addition, March of 2022 saw a paper from Clarkson University planning the design of a mind-controlled wheelchair also using an EEG.[7]

Technology edit

Operation edit

A mind-controlled wheelchair functions using a brain–computer interface: an electroencephalogram (EEG) worn on the user's forehead detects neural impulses that reach the scalp allowing the micro-controller on board to detect the user's thought process, interpret it, and control the wheelchair's movement.

In November of 2022 the University of Texas in Austin conducted a study on the effectiveness of a model of mind-controlled wheelchair. Similar to the BCI, the machine translates brain waves into movements. Specifically, the participants were instructed to visualize moving extremities to prompt the wheelchair to move. This study saw the use of non-invasive electrodes, using an electroencephalogram cap as opposed to internally installed electrodes.[6] In March of 2022, Stoyell et al. at Clarkson University published a paper in which they planned a design of a mind-controlled wheelchair based on an Emotiv EPOC X headset, an electroencephalogram device.[7]

Functionality edit

The A-SET wheelchair comes standard with many different types of sensors, like temperature sensors, sound sensors and an array of distance sensors which detect any unevenness in the surface. The chair automatically avoids stairs and steep inclines. It also has a "safety switch": in case of danger, the user can close his eyes quickly to trigger an emergency stop.

In the case of the chair designed by Stoyell et al., the only equipment needed to use the chair is the EMOTIV EPOC X headset. Both the University of Texas' and Clarkson University's designs have the benefit of being noninvasive, with the electrodes being placed onto the head as opposed to being surgically implanted. This makes these products relatively more accessible.[6][7]

References edit

  1. ^ Collins, Nathan. "Yes, Mind-Controlled Wheelchairs Are a Thing". Pacific Standard. Retrieved 2019-05-03.
  2. ^ webmaster, University of South Florida. "Researchers Develop "Brain-Controlled" Wheelchair Robotic Arm - University of South Florida". news.usf.edu. Retrieved 2019-05-03.
  3. ^ Singhdeo, Saswat (2016-03-31). "An Indian Has Developed A Mind-Controlled Wheelchair That He Says Is The First Of Its Kind In The World". ScoopWhoop. Retrieved 2019-04-29.
  4. ^ Bhalla, Nikita (March 17, 2016). "No buttons, no joystick; please welcome the world's first mind-controlled wheelchair". India Today.
  5. ^ "Introducing World's first Mind controlled wheelchair - tennews.in - National News Portal, Breaking, Latest, Top and Trending, News". 2016-03-15. Retrieved 2019-04-29.
  6. ^ a b c "Brain-Powered Wheelchair Shows Real World Promise". UT News. November 18, 2022.
  7. ^ a b c Stoyell, G.; Seybolt, A.; Griebel, T.; Sood, S.; Sarker, M. A. B.; Khondker, A.; Imtiaz, M. H. (March 2022). "Implementation of a Mind-Controlled Wheelchair". Proceedings of the St. Lawrence Section Annual Conference. Syracuse, NY: 25–26.


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A mind controlled wheelchair is a motorized wheelchair controlled by a brain computer interface Such a wheelchair could be of great importance to patients with locked in syndrome LIS in which a patient is aware but cannot move or communicate verbally due to complete paralysis of nearly all voluntary muscles in the body except the eyes Such wheelchairs can also be used in case of muscular dystrophy a disease that weakens the musculoskeletal system and hampers locomotion Mind controlled wheelchairDiwakar Vaish at the press launch of his mind controlled wheelchair ClassificationWheelchairIndustryVariousApplicationConveyance paralysis mobilityFuel sourceElectricPoweredYesSelf propelledYesWheels4InventorDiwakar VaishInvented2016 Contents 1 History 2 Technology 2 1 Operation 2 2 Functionality 3 ReferencesHistory editThe technology behind brain or mind control goes back to at least 2002 when researchers implanted electrodes into the brains of macaque monkeys which enabled them to control a cursor on a computer screen Similar techniques were able to control robotic arms and simple joysticks 1 In 2009 researchers at the University of South Florida developed a wheelchair mounted robotic arm that captured the user s brain waves and converted them into robotic movements The Brain Computer Interface BCI which captures P 300 brain wave responses and converts them to actions was developed by USF psychology professor Emanuel Donchin and colleagues The P 300 brain signal serves a virtual finger for patients who cannot move such as those with locked in syndrome or those with Lou Gehrig s Disease ALS 2 nbsp Diwakar Vaish the inventor of the wheelchair during press ceremonyThe first mind controlled wheelchair reached production in 2016 It was designed by Diwakar Vaish Head of Robotics and Research at A SET Training amp Research Institutes 3 4 5 In November of 2022 the University of Texas at Austin developed a mind controlled wheelchair using an EEG device 6 In addition March of 2022 saw a paper from Clarkson University planning the design of a mind controlled wheelchair also using an EEG 7 Technology editOperation edit A mind controlled wheelchair functions using a brain computer interface an electroencephalogram EEG worn on the user s forehead detects neural impulses that reach the scalp allowing the micro controller on board to detect the user s thought process interpret it and control the wheelchair s movement In November of 2022 the University of Texas in Austin conducted a study on the effectiveness of a model of mind controlled wheelchair Similar to the BCI the machine translates brain waves into movements Specifically the participants were instructed to visualize moving extremities to prompt the wheelchair to move This study saw the use of non invasive electrodes using an electroencephalogram cap as opposed to internally installed electrodes 6 In March of 2022 Stoyell et al at Clarkson University published a paper in which they planned a design of a mind controlled wheelchair based on an Emotiv EPOC X headset an electroencephalogram device 7 Functionality edit The A SET wheelchair comes standard with many different types of sensors like temperature sensors sound sensors and an array of distance sensors which detect any unevenness in the surface The chair automatically avoids stairs and steep inclines It also has a safety switch in case of danger the user can close his eyes quickly to trigger an emergency stop In the case of the chair designed by Stoyell et al the only equipment needed to use the chair is the EMOTIV EPOC X headset Both the University of Texas and Clarkson University s designs have the benefit of being noninvasive with the electrodes being placed onto the head as opposed to being surgically implanted This makes these products relatively more accessible 6 7 References edit Collins Nathan Yes Mind Controlled Wheelchairs Are a Thing Pacific Standard Retrieved 2019 05 03 webmaster University of South Florida Researchers Develop Brain Controlled Wheelchair Robotic Arm University of South Florida news usf edu Retrieved 2019 05 03 Singhdeo Saswat 2016 03 31 An Indian Has Developed A Mind Controlled Wheelchair That He Says Is The First Of Its Kind In The World ScoopWhoop Retrieved 2019 04 29 Bhalla Nikita March 17 2016 No buttons no joystick please welcome the world s first mind controlled wheelchair India Today Introducing World s first Mind controlled wheelchair tennews in National News Portal Breaking Latest Top and Trending News 2016 03 15 Retrieved 2019 04 29 a b c Brain Powered Wheelchair Shows Real World Promise UT News November 18 2022 a b c Stoyell G Seybolt A Griebel T Sood S Sarker M A B Khondker A Imtiaz M H March 2022 Implementation of a Mind Controlled Wheelchair Proceedings of the St Lawrence Section Annual Conference Syracuse NY 25 26 https web archive org web 20160602134908 http www networkedindia com 2016 03 18 the worlds first mind controlled wheelchair https web archive org web 20160424100051 http www startupstalk org indian develops mind controlled wheelchair Retrieved from https en wikipedia org w index php title Mind controlled wheelchair amp oldid 1191918045, wikipedia, wiki, book, books, library,

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