Feb 3, 2023 · We design a set of novel algorithms to extract multiple drowsiness-related indicators covering major categories of human factors. In particular, ...
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The integration of driver physical behavior and physiological signals is proven to be an outstanding solution to detect driver drowsiness in a safer, ...
Feb 3, 2023 · Driver drowsiness is a significant factor in road crashes. However, existing solutions for driver drowsiness detection have major drawbacks ...
Towards reliable driver drowsiness detection leveraging wearables. Y Cao, F Li, X Liu, S Yang, Y Wang. ACM Transactions on Sensor Networks 19 (2), 1-23, 2023.
An unobtrusive and energy-efficient driver drowsiness detection system using only a commercial smartwatch through monitoring the steering behavior and heart ...
Leng et al. [47] introduced a wearable device that combines motion and biomedical sensors to detect driver drowsiness via a mobile app. Their system uses a ...
Our on-road experiments show that the technique is. 99% accurate in detecting steering wheel usage and can estimate turning angles with an average error within ...
Apr 28, 2021 · HARMONY is a framework that is leveraged to collect driver's behavioral and state measures together with environ- mental sensing, through ...
Mar 7, 2024 · Wearable sensors have shown to be effective in detecting drowsiness in truck drivers. One study proposed a lightweight convolution neural ...
Jul 17, 2023 · Robust and accurate drowsiness detection systems can be developed by leveraging deep learning to learn complex coordinate patterns using visual ...