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Published on: December 18, 2020
Drowsiness detection by thoracic effort signal analysis in real driving environments
N Rodrígue-Ibáñez1, M A García-González, M Fernández-Chimeno
1Ficosa International SA, Can Magarola, Ctra. C-17 km 13. E-08100 Mollet del Valles, Barcelona, Spain. noelia.rodriguez@ ficosa.com
Summary
A new index using respiratory dynamics can detect driver drowsiness. This method shows promise for advanced driver assistance systems to improve road safety.
Area of Science:
- Biomedical Engineering
- Automotive Safety
- Human Factors
Background:
- Driver drowsiness is a significant safety concern in advanced driver assistance systems (ADAS).
- Current methods for detecting drowsiness often have limitations in real-world driving scenarios.
Purpose of the Study:
- To introduce a novel index for assessing driver alertness.
- To evaluate the index's effectiveness using respiratory dynamics measured by an inductive band.
Main Methods:
- Collected over 100 hours of driving data from 13 healthy subjects in real environments.
- Analyzed respiratory dynamics using an inductive band to derive a new alertness index.
Main Results:
- The proposed index achieved 93.7% sensitivity and 86.3% specificity in detecting awake drivers.
- It demonstrated 83.1% sensitivity and 95.3% specificity in detecting drowsy drivers.
Conclusions:
- The novel respiratory-based index shows significant potential for assessing driver alertness.
- This method could be a valuable addition to advanced driver assistance systems for enhanced road safety.
