Driver Drowsiness Detection Using Wearable Pulse Sensor

Za’im, Muhammad Hafizuddin (2020) Driver Drowsiness Detection Using Wearable Pulse Sensor. [Final Year Project] (Submitted)

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Driving is an everyday routine for most of the people nowadays regardless of
genders and ages from teenager to old. Driving a vehicle require user to always aware
and focus to their surroundings, a little mistake can cause a major accident. Drowsiness
is a near sleep state that often happened to drivers due to body fatigue and the needs
of rest will trigger this condition. According to Foundation for Traffic Safety, around
328,000 accidents annually due to fatigued drivers, of which 6,400 are fatal and
109,000 lead to injury and the true tally of drowsy driving is believed to be 350%
higher than reported. As the numbers of accidents caused by drowsy driving are rather
alarming, researcher and car developer decided to take this matter seriously and the
technology to detect driver drowsiness based on vehicle and vital signals is being
studied in preventive car safety. This paper will propose a drowsy detection system
using heart rate as the input data to be extracted by using Photoplethysmography
sensor that can be found in nowadays common wearable. The wearable IOT function
and the comfortability while driving making it the best choice to suit the present.

Item Type: Final Year Project
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE: Engineering > Electrical and Electronic
Depositing User: Mr Ahmad Suhairi Mohamed Lazim
Date Deposited: 11 Mar 2022 04:21
Last Modified: 11 Mar 2022 04:21

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