IEEE Access (Jan 2022)

A Novel Algorithm for Detecting the Drowsiness Onset in Real-Time

  • Luigi Pugliese,
  • Massimo Violante,
  • Sara Groppo

DOI
https://doi.org/10.1109/ACCESS.2022.3167708
Journal volume & issue
Vol. 10
pp. 42601 – 42606

Abstract

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Traffic accidents due to drivers falling asleep while driving is an important cause of death, and effective techniques for coping with this phenomenon are needed. In this paper we present a simple, yet effective algorithm, based on heart rate variability analysis. Results of the experimental validation are reported: two test sessions were performed, one in domestic environments and one in realistic driving environments by using a dynamic driving simulator. The results confirm the results obtained in the previous work (Groppo et al., 2020), and the capability of the proposed algorithm in predicting sleep while driving using a physiological signal that can be collected at the wrist of the driver.

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