2017
DOI: 10.1007/s10846-017-0477-x
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Design and Implementation of a Multi Sensor Based Brain Computer Interface for a Robotic Wheelchair

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Cited by 44 publications
(24 citation statements)
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“…According to Kucukyildiz’s work [ 86 ], the fixed-moving control paradigm had challenges for paths with frequently directional changes. Their work used very short analysis window (50 ms) for the sEMG control.…”
Section: Discussionmentioning
confidence: 99%
“…According to Kucukyildiz’s work [ 86 ], the fixed-moving control paradigm had challenges for paths with frequently directional changes. Their work used very short analysis window (50 ms) for the sEMG control.…”
Section: Discussionmentioning
confidence: 99%
“…Non-invasive BCI systems have been developed that use external sensors to monitor brain activity and translate the signals to control commands. Examples of such systems include EEG control of wheelchairs (92–94), humanoid robots (95), and telepresence platforms (96). With EEG control, users are instructed to execute mental tasks that correspond to higher level control concepts.…”
Section: Organic Components In Roboticsmentioning
confidence: 99%
“…In ref. [18], an armband was used along other sensors to control a wheelchair by tracking the gestures of its user.…”
Section: Introductionmentioning
confidence: 99%