Detection of Microsleep Events With a Behind-the-Ear Wearable System

Every year, the U.S. economy loses more than ${\$}$ 411 billion because of work performance reduction, injuries, and traffic accidents caused by microsleep. To mitigate microsleep's consequences, an unobtrusive, reliable, socially acceptable microsleep detection solution throughout day, every day is required. Unfortunately, existing solutions do not meet these requirements. In this paper, we propose WAKE, a novel behind-the-ear wearable device for detection. By monitoring biosignals from brain, eye movements, facial muscle contractions, sweat gland activities behind user's ears, WAKE can detect with high temporal resolution. We introduce Three-fold Cascaded Amplifying (3CA) technique to tame motion artifacts environmental noises capturing fidelity signals. Through our prototyping, show that suppress noise in real-time 9.74-19.47 dB while walking, driving, or staying different environments, ensuring are captured reliably. evaluated using gold-standard devices on 19 sleep-deprived narcoleptic subjects. The Leave-One-Subject-Out Cross-Validation results feasibility unseen subject average precision recall 76 85 percent, respectively.