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In-Car Environment Control Using an SSVEP-Based Brain-Computer Interface with Visual Stimuli Presented on Head-Up Display: Performance Comparison with a Button-Press Interface.
Park, Seonghun; Kim, Minsu; Nam, Hyerin; Kwon, Jinuk; Im, Chang-Hwan.
Afiliação
  • Park S; Department of Electronic Engineering, Hanyang University, Seoul 04763, Republic of Korea.
  • Kim M; Department of Artificial Intelligence, Hanyang University, Seoul 04763, Republic of Korea.
  • Nam H; Department of Artificial Intelligence, Hanyang University, Seoul 04763, Republic of Korea.
  • Kwon J; Department of Electronic Engineering, Hanyang University, Seoul 04763, Republic of Korea.
  • Im CH; Department of Electronic Engineering, Hanyang University, Seoul 04763, Republic of Korea.
Sensors (Basel) ; 24(2)2024 Jan 15.
Article em En | MEDLINE | ID: mdl-38257638
ABSTRACT
Controlling the in-car environment, including temperature and ventilation, is necessary for a comfortable driving experience. However, it often distracts the driver's attention, potentially causing critical car accidents. In the present study, we implemented an in-car environment control system utilizing a brain-computer interface (BCI) based on steady-state visual evoked potential (SSVEP). In the experiment, four visual stimuli were displayed on a laboratory-made head-up display (HUD). This allowed the participants to control the in-car environment by simply staring at a target visual stimulus, i.e., without pressing a button or averting their eyes from the front. The driving performances in two realistic driving tests-obstacle avoidance and car-following tests-were then compared between the manual control condition and SSVEP-BCI control condition using a driving simulator. In the obstacle avoidance driving test, where participants needed to stop the car when obstacles suddenly appeared, the participants showed significantly shorter response time (1.42 ± 0.26 s) in the SSVEP-BCI control condition than in the manual control condition (1.79 ± 0.27 s). No-response rate, defined as the ratio of obstacles that the participants did not react to, was also significantly lower in the SSVEP-BCI control condition (4.6 ± 14.7%) than in the manual control condition (20.5 ± 25.2%). In the car-following driving test, where the participants were instructed to follow a preceding car that runs at a sinusoidally changing speed, the participants showed significantly lower speed difference with the preceding car in the SSVEP-BCI control condition (15.65 ± 7.04 km/h) than in the manual control condition (19.54 ± 11.51 km/h). The in-car environment control system using SSVEP-based BCI showed a possibility that might contribute to safer driving by keeping the driver's focus on the front and thereby enhancing the overall driving performance.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Interfaces Cérebro-Computador Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Interfaces Cérebro-Computador Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2024 Tipo de documento: Article