RT Conference Proceedings
T1 Proposals of Control Paradigms Applied to a Brain-Controlled Wheelchair
A1 Ron-Angevin, Ricardo
A1 Velasco-Álvarez, Francisco Javier
A1 Fernández-Rodríguez, Álvaro
K1 Interacción hombre-ordenador
K1 Interfaces de ordenadores
AB Several of the neurological diseases that human beings can result in severe disabilities. In somecases, people who suffer from such deficiencies lose any chance of communication with theirenvironment, being the only possible alternative to give the brain a new channel not based onmuscular activity, allowing these people to send messages and commands to the external world.The systems that allows the latter is what is known as Brain-Computer Interfaces (BCI). Theircommon feature is to process the brain’s electrical activity for extracting information that can beused to command an external device, as for example, a wheelchair to provide them some mobility.One of the most important limitations of these brain controlled wheelchair is to guarantee that aperson can, through his mental activity, safely control the variety of navigation commands thatprovide control of the wheelchair: advance, turn, move back, and stop. The vast majority of themobile robot navigation applications that are controlled via a BCI demand that the user performsas many different mental tasks as there are different control commands, worsening the classificationaccuracy. In order to enable an effective and autonomous wheelchair navigation with a BCI systemwithout worsening user performance, the Brain–Computer Interface (BCI) group of the Universityof Málaga (UMA-BCI) proposed and later developed a new paradigm based on the discriminationof only two classes (one active mental task versus any other mental activity), which enabled theselection of four commands: move forwards, turn right, move backward and turn left. The finalaim of this contribution is to show how to control a robotic wheelchair through the use of onlytwo mental tasks. The mapping of these two mental tasks into several navigation commands allows the Brain-Controlled Wheelchair to be moved and turned in order to achieve effective navigation.
YR 2018
FD 2018-03-14
LK https://hdl.handle.net/10630/15403
UL https://hdl.handle.net/10630/15403
LA eng
NO Proposals of Control Paradigms Applied to a Brain-Controlled Wheelchair, Ron-Angevin R., Velasco-Álvarez F., Fernández Rodriguez A., Proceeding og the BITs 4th Annual World Congress of Smart Material 2018, Osaka (Japan), 6-8 March 2018
NO Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026