WiFind can be easily deployed in a commodity Wi-Fi infrastructure, and we have evaluated its performance in real driving environments. The experimental results have shown that WiFind can achieve the recognition accuracy of 89.6 percent in a single driver scenario.
Jun 25, 2018 · WiFind is simple and (wearable) device-free. It can detect the fatigue symptoms in the vehicle without relying on any visual image or video. By ...
Abstract—Driver fatigue is a leading factor in road accidents that can cause severe fatalities. Existing fatigue detection works focus on.
In our work, we propose a novel Wi-Fi signals based fatigue detection approach, called WiFind to overcome the drawbacks as associated with the current works.
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This work proposes a novel Wi-Fi signals based fatigue detection approach, called WiFind, which can detect the fatigue symptoms in the vehicle without ...
WiFind: Driver fatigue detection with fine-grained Wi-Fi signal features. Weijia Jia, Hongjian Peng, Na Ruan, Zhiqing Tang, Wei Zhao. December 2018. PDF Cite.
Nov 22, 2023 · (3) Fatigue feature detection: detect the presence of nodding, yawning, eye blink, and estimate the eye blink rate, ECD, respiration rate, and ...
Driver's face may provide important cues about his/her attention and fatigue behavior. Therefore, driver's face pose is one of the key indicators to be ...
When CSI meets public WiFi: inferring your mobile phone password via WiFi signals ... WiFind: Driver fatigue detection with fine-grained Wi-Fi signal features. W ...
Nov 22, 2023 · Extensive experiment results from both simulated and real driving environments show that the average accuracy for detecting nodding and yawning ...