Driver Drowsiness Detection

Driver Drowsiness Detection is a biomedical signal processing framework that specifically utilizes ocular motility metrics derived from electrooculographic recordings to identify and classify physiological indicators of impaired alertness in operating vehicle drivers.

1.2K

Publications

63.4K

Citations

3.9K

Authors

1.1K

Institutions

Publications per year

2017–2026

653

Authors

3.9K

  1. CL
    Chin‐Teng Lin

    National Yang Ming Chiao Tung University, Taiwan

    27 publications · 2.7K citations

    21

    h-index

  2. WC
    Wan‐Young Chung

    Pukyong National University, South Korea

    14 publications · 1.4K citations

    14

    h-index

  3. CA
    Christer Ahlström

    Swedish National Road and Transport Research Institute, Sweden

    16 publications · 782 citations

    13

    h-index

  4. TJ
    Tzyy‐Ping Jung

    University of California San Diego, United States

    12 publications · 1.5K citations

    12

    h-index

  5. LM
    Luis M. Bergasa

    Universidad de Alcalá, Spain

    11 publications · 1.5K citations

    11

    h-index

1–5 of 3.9K

Venues

  1. 33

    h-index

  2. Sensors

    46 publications · 3K citations

    31

    h-index

  3. Accident Analysis & Prevention

    32 publications · 2.3K citations

    26

    h-index

  4. IEEE Access

    26 publications · 2.2K citations

    24

    h-index

  5. Expert Systems with Applications

    19 publications · 2.1K citations

    17

    h-index

1–5