Results 11 to 20 of about 3,208 (258)

Drowsiness Detection using EEG signals and Machine Learning Algorithms [PDF]

ITM Web of Conferences, 2022
Drowsiness is described as a state of reduced consciousness and vigilance accompanied by a desire or want to sleep. Driver tiredness is frequently detected using wearable sensors that track vehicle movement and camera-based systems that track driver ...
Joshi Adinath, Kamble Atharva, Parate Akanksha, Parkar Siddhesh, Puri Digambar, Gaikwad Chandrakant   +5 more
doaj   +1 more source

Extraction of Optimal Measurements for Drowsy Driving Detection considering Driver Fingerprinting Differences

Journal of Advanced Transportation, 2021
Contributions of measurements for detecting drowsy driving are determined by calculation parameters, which are directly related to the accuracy of drowsiness detection.
Yifan Sun, Chaozhong Wu, Hui Zhang, Yijun Zhang, Shaopeng Li, Hongxia Feng   +5 more
doaj   +1 more source

A systematic review on detection and prediction of driver drowsiness

Transportation Research Interdisciplinary Perspectives, 2023
Driver drowsiness has emerged as one of the key factors in recent times' traffic accidents, which can result in fatalities, serious physical losses, large monetary losses, and significant property damage.
Md. Ebrahim Shaik
doaj   +1 more source

Microneedle Array Electrode-Based Wearable EMG System for Detection of Driver Drowsiness through Steering Wheel Grip

Sensors, 2021
Driver drowsiness is a major cause of fatal accidents throughout the world. Recently, some studies have investigated steering wheel grip force-based alternative methods for detecting driver drowsiness.
Afraiz Tariq Satti, Jiyoun Kim, Eunsurk Yi, Hwi-young Cho, Sungbo Cho   +4 more
doaj   +1 more source

Smart Edge-Based Driver Drowsiness Detection in Mobile Crowdsourcing

IEEE Access, 2023
Traffic accidents caused by drowsy drivers represent a crucial threat to public safety. Recent statistics show that drowsy drivers cause an estimated 15.5% of fatal accidents.
Hanane Lamaazi, Aisha Alqassab, Ruba Ali Fadul, Rabeb Mizouni   +3 more
doaj   +1 more source

Monitoring System of Drowsiness and Lost Focused Driver Using Raspberry Pi

Iranian Journal of Public Health, 2020
Background: Drowsiness condition is one of the significant factors often encountered when an accident occurs. We aimed to detect a method to prevent accidents caused by drowsiness and lost a focused driver.
Kusworo ADI, Catur Edi WIDODO, Aris Puji WIDODO, Hilda Nurul ARISTIA   +3 more
doaj   +1 more source

Trends and Future Prospects of the Drowsiness Detection and Estimation Technology

Sensors, 2021
Drowsiness is among the important factors that cause traffic accidents; therefore, a monitoring system is necessary to detect the state of a driver’s drowsiness.
Toshiya Arakawa
doaj   +1 more source

DROWSINESS DETECTION AND MONITORING SYSTEM [PDF]

ITM Web of Conferences, 2020
Wakefulness of a driver is an extremely important factor that needs to be continuously monitored.. A drowsy driver can be a cause of several mishaps and accidents on highways which could lead to loss of money, physical injuries, and the most important ...
Ghole Uzair, Chavan Pravin, Gandhi Siddharth, Gawde Rohit, Fakir Kausar   +4 more
doaj   +1 more source

Review on Drowsiness Detection [PDF]

EAI Endorsed Transactions on Smart Cities, 2020
This paper relates the street mishaps that happen because of driver's drowsiness. Recent studies state that more disastersare caused due to doziness. Drivers can feel drowsiness due to sleep deprivation, continuously driving, drugs andmedicines, and
Apoorva Apoorva, D Vali, Rakesh R
doaj   +1 more source

Automated classification system for drowsiness detection using convolutional neural network and electroencephalogram

IET Intelligent Transport Systems, 2021
Detecting drowsiness in drivers while driving is extremely important to avoid possible accidents and reduce the fatality rate due to drivers sleeping at the wheel.
Venkata Phanikrishna Balam, Venkata Udaya Sameer, Suchismitha Chinara   +2 more
doaj   +1 more source