2026-06-01T16:23:40Zhttps://riuma.uma.es/rest/oai/request

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

00925njm 22002777a 4500 dc Fernández-Rodríguez, Álvaro author Velasco-Álvarez, Francisco Javier author Ron-Angevin, Ricardo author 2016-10-14 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. Journal of Neural Engineering, vol. 13, n. 6 DOI: 10.1088/1741-2560/13/6/061001 http://hdl.handle.net/10630/12622 Interfaces de ordenadores Interacción hombre-ordenador Review of real brain-controlled wheelchairs