Shared control schematic for brain controlled vehicle based on fuzzy logic
Na Dong, Wen-qi Zhang, Zhong-ke Gao

TL;DR
This paper proposes a shared control system using fuzzy logic to enhance brain-controlled vehicle performance by combining automatic and brain signals, verified through simulation.
Contribution
It introduces a fuzzy logic-based auxiliary controller for shared control, improving brain-controlled vehicle performance over existing methods.
Findings
Control performance improved with auxiliary fuzzy controller
Shared control effectively switches between automatic and brain control
Simulation results validate the proposed system's effectiveness
Abstract
Brain controlled vehicle refers to the vehicle that obtains control commands by analyzing the driver's EEG through Brain-Computer Interface (BCI). The research of brain controlled vehicles can not only promote the integration of brain machines, but also expand the range of activities and living ability of the disabled or some people with limited physical activity, so the research of brain controlled vehicles is of great significance and has broad application prospects. At present, BCI has some problems such as limited recognition accuracy, long recognition time and limited number of recognition commands in the process of analyzing EEG signals to obtain control commands. If only use the driver's EEG signals to control the vehicle, the control performance is not ideal. Based on the concept of Shared control, this paper uses the fuzzy control (FC) to design an auxiliary controller to…
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Taxonomy
TopicsEEG and Brain-Computer Interfaces · Gaze Tracking and Assistive Technology · Neuroscience and Neural Engineering
