Drowsiness detection in drivers with a smartwatch
Sonia D\'iaz-Santos, Pino Caballero-Gil

TL;DR
This paper presents a smartwatch-based system for early detection of driver drowsiness, aiming to improve road safety by alerting sleepy drivers through physiological data monitoring.
Contribution
It introduces a novel application that detects driving actions and physiological signs of drowsiness, with a focus on data security and real-time alerts.
Findings
Effective detection of driver sleepiness using smartwatch data
Enhanced road safety through timely alerts
Secure handling of sensitive physiological data
Abstract
The main objective of this work is to detect early if a driver shows symptoms of sleepiness that indicate that he/she is falling asleep and, in that case, generate an alert to wake him/her up. To solve this problem, an application has been designed that collects various parameters, through a smartwatch while driving. First, the application detects the driving action. Then, it collects information about the most significant physiological variables of a person while driving. On the other hand, given the high level of sensitivity of the data managed in the designed application, in this work special attention has been paid to the security of the implementation. The proposed solution improves road safety, reducing the number of accidents caused by drowsiness while driving.
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Taxonomy
TopicsSleep and Work-Related Fatigue
