학술논문

A Novel Algorithm for Detecting the Drowsiness Onset in Real-Time
Document Type
Periodical
Source
IEEE Access Access, IEEE. 10:42601-42606 2022
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Sleep
Vehicles
Heart rate variability
Biomedical monitoring
Heuristic algorithms
Electrocardiography
Feature extraction
Drowsiness onset detection
sleep onset
accident prevention
Language
ISSN
2169-3536
Abstract
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.