A Brain-Controlled Vehicle System Based on Steady State Visual Evoked Potentials
نویسندگان
چکیده
Abstract In this paper, we propose a human-vehicle cooperative driving system. The objectives of research are twofold: (1) providing feasible brain-controlled vehicle (BCV) mode; (2) control mode. For the first aim, through brain-computer interface (BCI), can analyse EEG signal and get intentions driver. second is manifested in BCV combined with obstacle detection assistance. Considering potential dangers real motor outdoor, an module essential Obstacle emergency braking ensure safety driver during driving. system based on steady-state visual evoked (SSVEP) used BCI. Simulation experiment platform designed to verify feasibility proposed Five subjects participated simulation experiment. outdoor experimental results show that average accuracy intention recognition 90.68 ± 2.96% platform. verified SSVEP-based mode realised
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ژورنال
عنوان ژورنال: Cognitive Computation
سال: 2022
ISSN: ['1866-9964', '1866-9956']
DOI: https://doi.org/10.1007/s12559-022-10051-1