About
Contact & Profiles
A5015057352
Research Areas
- Sleep and Work-Related Fatigue
- EEG and Brain-Computer Interfaces
- Non-Invasive Vital Sign Monitoring
Central China Normal University
2022
Drowsiness can lead to inefficiency and major disasters; thus it is important address in both academia industry. Despite multiple types of research this field, a nonintrusive classifier system for detecting drowsiness real-time under natural environment without specific stimulation lacking. This study develops detection using 77 GHz millimeter-wave (mmWave) frequency-modulated continuous wave radar. Specifically, firstly, mmWave processing module proposed, which adaptively suppress...
10.1109/jsen.2022.3186486
article
EN
IEEE Sensors Journal
2022-07-01
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