EEG-Based Brain-Controlled Mobile Robots: A Survey

Bi, Luzheng; Fan, Xin-an; Liu, Yili

doi:10.1109/tsmcc.2012.2219046

Cited by 337 publications

(167 citation statements)

References 120 publications

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“…Referring to the evaluation systems, as proposed by Bi et al (20), it could be of interest to use similar metrics among different papers, so that the proposals can be compared more accurately. Moreover, only a few articles presented the use of metrics related to the user's experience during handling.…”

Section: Discussionmentioning

confidence: 99%

Review of real brain-controlled wheelchairs

2016

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Abstract. This paper presents a review of the state of the art regarding wheelchairs driven by a brain-computer interface (BCI). Using a brain-controlled wheelchair (BCW), disabled users could handle a wheelchair through their brain activity, granting autonomy to move through an experimental environment. A classification is established, based on the characteristics of the BCW, such as the type of electroencephalographic (EEG) signal used, the navigation system employed by the wheelchair, the task for the participants, or the metrics used to evaluate the performance. Furthermore, these factors are compared according to the type of signal used, in order to clarify the differences among them. Finally, the trend of current research in this field is discussed, as well as the challenges that should be solved in the future.

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Section: Discussionmentioning

confidence: 99%

Review of real brain-controlled wheelchairs

2016

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“…However, most of the wheelchair today especially the affordable manual wheelchair requires human power to maneuver. Even for the electrical wheelchair, it still requires user's finger to move the joystick or press the button in order to control the movement of the electrical wheelchair [7]. In this way, some users who completely lost their hands or those who having the difficulty to control their hands such as Poliomyelitis patients are not able to navigate the wheelchair movement.…”

Section: Introductionmentioning

confidence: 99%

EEG Controlled Wheelchair

Swee

Kiang

You

2016

MATEC Web of Conferences

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Abstract. This paper describes the development of a brainwave controlled wheelchair. The main objective of this project is to construct a wheelchair which can be directly controlled by the brain without requires any physical feedback as controlling input from the user. The method employed in this project is the Brain-computer Interface (BCI), which enables direct communication between the brain and the electrical wheelchair.

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“…Although there are some BCWs controlled by potential P300 or SSVEP (see [3] for different examples), most systems make use of endogenous signals and especially of sensorimotor rhythm (SMR) which are usually based on discrimination of different mental tasks [3]. In these BCI systems, the number of navigation commands to control the wheelchair is associated to the number of classes to discriminate.…”

Section: Introductionmentioning

confidence: 99%