Design a Driver Fatigue Intelligent Monitoring Cap Based on the Fusion of EEG and Blink Signals
DOI:
https://doi.org/10.64509/jdi.12.78Keywords:
Intelligent Wearable Monitoring, Driving Fatigue, EEG, Blink Signal, Cap Structure DesignAbstract
This study proposes a hat-based wearable intelligent monitoring system for driving fatigue, aiming to address the limitations of traditional wristband or helmet-style devices, such as difficulties in accurately reflecting fatigue levels, unstable signal acquisition, and insufficient comfort. From the perspective of apparel engineering, a modular hat design scheme was developed. By optimizing the inner structure, pressure distribution, and electrode attachment method of the hat, stable acquisition of electroencephalogram (EEG) and blink signals in driving scenarios was achieved. On this basis, a monitoring and feedback platform was constructed, incorporating a dynamic threshold blink detection method and an improved Long Short-Term Memory (LSTM) fusion model, the experimental results show that the selected brain-computer interface and blinking fusion method achieves an accuracy rate of over 92% in identifying different stages of driving fatigue. Finally, the monitoring system was tested using real driving data to evaluate its performance in various aspects such as signal acquisition, fatigue detection, grading feedback, and subjective wearing experience. This verified the practical application potential of the designed intelligent monitoring cap in monitoring driving fatigue.
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