Detecting, Predicting, and Preventing Driver Drowsiness with Wrist-Wearable Devices

Autor:	Luís Paulo Reis, Brígida Mónica Faria, Cláudia Rodrigues
Rok vydání:	2021
Předmět:	Sleep disorder business.industry Computer science Wearable computer Context (language use) medicine.disease ALARM Sleep deprivation Risk analysis (engineering) medicine Heart rate variability Sleep (system call) medicine.symptom business Wearable technology
Zdroj:	Progress in Artificial Intelligence ISBN: 9783030862299 EPIA
Popis:	Insufficient sleep is a prominent problem in modern society with several negative effects and risks. One of the most serious consequences is traffic accidents caused by drowsy driving. Current solutions are focused on detecting drowsiness, where individuals need to reach a certain drowsiness level to receive an alarm, which may be too late to react. In this context, it is relevant to develop a wearable system that integrates the prediction of drowsiness and its prevention. By predicting the drowsy state, the driver can be warned in advance while still alert. To minimize further incidents, the reason why a state of drowsiness occurs must be identified, caused by a sleep disorder or sleep deprivation. The contribution of this work is to review the main scientific and commercial solutions, and perform automatic sleep staging based on heart rate variability. Results show that, although promising, this approach requires a larger dataset to consider a user-dependent scenario.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::fac87075ece2b1161239fceb9c789129 https://doi.org/10.1007/978-3-030-86230-5_9 Zobrazit plný text záznamu