Controlling a Wheelchair Indoors Using Thought

Rebsamen, Brice; Teo, Chee Leong; Zeng, Qiang; Ang, Marcelo H.; Burdet, Etienne; Guan, Cuntai; Zhang, H.; Laugier, Christian

doi:10.1109/mis.2007.26

Cited by 237 publications

(105 citation statements)

References 6 publications

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“…One of the most significant challenges currently faced is that in addition to high accuracy in the decoding of mental commands, fast decision-making and split attention are critical [1], [2], [3]. There have been several demonstrations of such braincontrolled devices, ranging from robotic arms [4], [5], to hand orthoses [6], [7]; and from telepresence robots [1], [8], to wheelchairs [9], [10], [11]. These works predominantly take spontaneous approaches, where the subjects learn to voluntarily modulate their sensorimotor brain activity.…”

Section: Introductionmentioning

confidence: 99%

A hybrid BCI for enhanced control of a telepresence robot

Carlson¹,

Tonin²,

Perdikis³

et al. 2013

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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Abstract-Motor-disabled end users have successfully driven a telepresence robot in a complex environment using a BrainComputer Interface (BCI). However, to facilitate the interaction aspect that underpins the notion of telepresence, users must be able to voluntarily and reliably stop the robot at any moment, not just drive from point to point. In this work, we propose to exploit the user's residual muscular activity to provide a fast and reliable control channel, which can start/stop the telepresence robot at any moment. Our preliminary results show that not only does this hybrid approach increase the accuracy, but it also helps to reduce the workload and was the preferred control paradigm of all the participants.

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Section: Introductionmentioning

confidence: 99%

A hybrid BCI for enhanced control of a telepresence robot

Carlson¹,

Tonin²,

Perdikis³

et al. 2013

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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show abstract

“…The device operation provides feedback to the user, thus closing the control loop. 19 Because of its relative ease of implementation and performance, one of the most researched BCI paradigms is the visual P300 speller, 5 which has been demonstrated successfully in both healthy and disabled persons for typing, [35][36][37][38][39][40][41][42] Internet browsing, 43 guidance of a wheelchair along predetermined paths, [44][45][46][47] and other applications. Like the P300 evoked response, steady-state visual evoked potentials are innate and require no training, but they are capable of providing faster response times.…”

Section: Device Outputmentioning

confidence: 99%

Brain-Computer Interfaces in Medicine

Shih

Krusienski

Wolpaw

2012

Mayo Clinic Proceedings

565

279

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Brain-computer interfaces (BCIs) acquire brain signals, analyze them, and translate them into commands that are relayed to output devices that carry out desired actions. BCIs do not use normal neuromuscular output pathways. The main goal of BCI is to replace or restore useful function to people disabled by neuromuscular disorders such as amyotrophic lateral sclerosis, cerebral palsy, stroke, or spinal cord injury. From initial demonstrations of electroencephalography-based spelling and single-neuron-based device control, researchers have gone on to use electroencephalographic, intracortical, electrocorticographic, and other brain signals for increasingly complex control of cursors, robotic arms, prostheses, wheelchairs, and other devices. Brain-computer interfaces may also prove useful for rehabilitation after stroke and for other disorders. In the future, they might augment the performance of surgeons or other medical professionals. Brain-computer interface technology is the focus of a rapidly growing research and development enterprise that is greatly exciting scientists, engineers, clinicians, and the public in general. Its future achievements will depend on advances in 3 crucial areas. Brain-computer interfaces need signal-acquisition hardware that is convenient, portable, safe, and able to function in all environments. Brain-computer interface systems need to be validated in long-term studies of real-world use by people with severe disabilities, and effective and viable models for their widespread dissemination must be implemented. Finally, the day-to-day and moment-to-moment reliability of BCI performance must be improved so that it approaches the reliability of natural muscle-based function. U ntil recently, the dream of being able to control one's environment through thoughts had been in the realm of science fiction. However, the advance of technology has brought a new reality: Today, humans can use the electrical signals from brain activity to interact with, influence, or change their environments. The emerging field of brain-computer interface (BCI) technology may allow individuals unable to speak and/or use their limbs to once again communicate or operate assistive devices for walking and manipulating objects. Brain-computer interface research is an area of high public awareness. Videos on YouTube as well as news reports in the lay media indicate intense curiosity and interest in a field that hopefully one day soon will dramatically improve the lives of many disabled persons affected by a number of different disease processes.This review seeks to provide the general medical community with an introduction to BCIs. We define BCI and then review some of the seminal discoveries in this rapidly emerging field, the brain signals used by BCIs, the essential components of a BCI system, current BCI systems, and the key issues now engaging researchers. Challenges are inherent in translating any new technology to practical and useful clinical applications, and BCIs are no exception. We discuss the potent...

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“…Others control IWs with user "thoughts." This technology typically uses sensors that measure the electromagnetic waves of the brain [11][12].…”

Section: Related Workmentioning

confidence: 99%

IntellWheels: Modular development platform for intelligent wheelchairs

Braga¹,

Petry²,

Reis³

et al. 2011

JRRD

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Abstract-Intelligent wheelchairs (IWs) can become an important solution to the challenge of assisting individuals who have disabilities and are thus unable to perform their daily activities using classic powered wheelchairs . This article describes the concept and design of IntellWheels, a modular platform to facilitate the development of IWs through a multiagent system paradigm. In fact, modularity is achieved not only in the software perspective, but also through a generic hardware framework that was designed to fit, in a straightforward manner, almost any commercial powere d wheelchair. Experimental results demonstrate the successful integration of all modules in the platform, providing safe motion to the IW. Furthermore, the results achieved with a prototype running in autonomous mode in simulated and mixed-reality environments also demonstrate the potential of our approach. Although some future research is still necessary to fully accomplish our objectives, preliminary tests have show n that IntellWheels will effectively reduce users' limitations, offering them a much more independent life.

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Controlling a Wheelchair Indoors Using Thought

Cited by 237 publications

References 6 publications

A hybrid BCI for enhanced control of a telepresence robot

A hybrid BCI for enhanced control of a telepresence robot

Brain-Computer Interfaces in Medicine

IntellWheels: Modular development platform for intelligent wheelchairs

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