2026-05-31T07:32:29Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/126222026-02-03T10:55:41Zcom_10630_2254col_10630_37953

Fernández-Rodríguez, Álvaro Velasco-Álvarez, Francisco Javier Ron-Angevin, Ricardo 2016-12-20T12:19:36Z 2017-04-14T04:00:03Z 2016-10-14 Journal of Neural Engineering, vol. 13, n. 6 DOI: 10.1088/1741-2560/13/6/061001 http://hdl.handle.net/10630/12622 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. eng open access by-nc-nd Interfaces de ordenadores Interacción hombre-ordenador Review of real brain-controlled wheelchairs journal article