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Erschienen in: Intelligent Service Robotics 4/2020

09.06.2020 | Review Article

Comprehensive review on brain-controlled mobile robots and robotic arms based on electroencephalography signals

verfasst von: Majid Aljalal, Sutrisno Ibrahim, Ridha Djemal, Wonsuk Ko

Erschienen in: Intelligent Service Robotics | Ausgabe 4/2020

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Abstract

There is a significant progress in the development of brain-controlled mobile robots and robotic arms in the recent years. New advances in electroencephalography (EEG) technology have led to the possibility of controlling external devices, such as robots, directly via the brain. The development of brain-controlled robotic devices has allowed people with bodily disabilities to enhance their mobility, individuality, and many types of activity. This paper provides a comprehensive review of EEG signal processing in robot control, including mobile robots and robotic arms, especially based on noninvasive brain computer interface systems. Various filtering approaches, feature extraction techniques, and machine learning algorithms for EEG classification are discussed and summarized. Finally, the conditions of the environments in which robots are used and robot types are also discussed.

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Metadaten
Titel
Comprehensive review on brain-controlled mobile robots and robotic arms based on electroencephalography signals
verfasst von
Majid Aljalal
Sutrisno Ibrahim
Ridha Djemal
Wonsuk Ko
Publikationsdatum
09.06.2020
Verlag
Springer Berlin Heidelberg
Erschienen in
Intelligent Service Robotics / Ausgabe 4/2020
Print ISSN: 1861-2776
Elektronische ISSN: 1861-2784
DOI
https://doi.org/10.1007/s11370-020-00328-5

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