HIGHLIGHTS
- who: Serajeddin Ebrahimian et al. from the Department of Applied Physics, University of Eastern Finland, Kuopio, Finland have published the research work: Multi-Level Classification of Driver Drowsiness by Simultaneous Analysis of ECG and Respiration Signals Using Deep Neural Networks, in the Journal: (JOURNAL)
- what: This work is concerned with proposing a multi-level driver drowsiness detection method based on simultaneous analysis of respiration and ECG data. The experiments were conducted on 30 subjects to evaluate the proposed drowsiness detection system. In this paper, two multi-level (i.e., 3-level and 5-level) classification . . .
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