RT Journal Article
T1 Brain–Computer Interface (BCI) control of a virtual assistant in a smartphone to manage messaging applications
A1 Velasco-Álvarez, Francisco Javier
A1 Fernández-Rodríguez, Álvaro
A1 Vizcaíno-Martín, Francisco Javier
A1 Díaz-Estrella, Antonio
A1 Ron-Angevin, Ricardo
K1 Interacción hombre-ordenador
K1 Interfaces de ordenadores
AB Brain–computer interfaces (BCI) are a type of assistive technology that uses the brain signals of users to establish a communication and control channel between them and an external device. BCI systems may be a suitable tool to restore communication skills in severely motor-disabled patients, as BCI do not rely on muscular control. The loss of communication is one of the most negative consequences reported by such patients. This paper presents a BCI system focused on the control of four mainstream messaging applications running in a smartphone: WhatsApp, Telegram, e-mail and short message service (SMS). The control of the BCI is achieved through the well-known visual P300 row-column paradigm (RCP), allowing the user to select control commands as well as spelling characters. For the control of the smartphone, the system sends synthesized voice commands that are interpreted by a virtual assistant running in the smartphone. Four tasks related to the four mentioned messaging services were tested with 15 healthy volunteers, most of whom were able to accomplish the tasks, which included sending free text e-mails to an address proposed by the subjects themselves. The online performance results obtained, as well as the results of subjective questionnaires, support the viability of the proposed system.
PB MDPI
YR 2021
FD 2021-05-26
LK https://hdl.handle.net/10630/36165
UL https://hdl.handle.net/10630/36165
LA eng
NO Velasco-Álvarez, F.; Fernández-Rodríguez, Á.; Vizcaíno-Martín, F.-J.; Díaz-Estrella, A.; Ron-Angevin, R. Brain–Computer Interface (BCI) Control of a Virtual Assistant in a Smartphone to Manage Messaging Applications. Sensors 2021, 21, 3716. https://doi.org/10.3390/s21113716
NO This research was funded in part by the Spanish Ministry of Science, Innovation, and Universities (Reference: RTI2018-100912-B-I00), by the European fund ERDF, and by the University of Malaga (Universidad de Málaga).
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026