Results 51 to 60 of about 31,323 (271)

Enhanced Driver Drowsiness Detection Model Using Multi-Level Features Fusion and a Long-Short-Term Recurrent Neural Network

Engineering Proceedings
Drowsiness driving poses a significant risk to road safety, necessitating effective drowsiness detection models. Most of the prior research has primarily relied on composite facial-based features, mainly focusing on the mouth and/or eye states, to ...
Lawan Yusuf, Mohammed Hamada, Mohammed Hassan, Habeebah Kakudi   +3 more
doaj   +1 more source

Statistical validation of physiological indicators for non-invasive and hybrid driver drowsiness detection system

, 2009
A hybrid system for detecting driver drowsiness was examined by using piezofilm movement sensors integrated into the car seat, seat belt and steering wheel.
Burton, David, Karrar, Murad, Lal, Saroj, Xu, Zheng Ming, Zilberg, Eugene   +4 more
core   +2 more sources

A novel Big Data analytics and intelligent technique to predict driver's intent [PDF]

, 2018
Modern age offers a great potential for automatically predicting the driver's intent through the increasing miniaturization of computing technologies, rapid advancements in communication technologies and continuous connectivity of heterogeneous smart ...
Abtahi, Adam Grzywaczewski, Agrawal, Al-Sultan, Asimov, Bernardo, Bezdek, Bhavsar, Bostrom, Chang, Chen, Dawson, De Domenico, Diaz-Cabrera, Doctor, Doctor, Dreier, Faiyaz Doctor, Filev, Froehlich, Gerhardt, Grudin, Grzywaczewski, Hashem, Hawkins, Hawkins, Haykin, Hirsch, Huang, Huang, Iqbal, Jaguar Land Rover Limited, Jain, James, Kaisler, Kapicioglu, Karyotis, Karyotis, Kotsiantis, Kumar, Kumar, Kurihata, Lech Birek, Liao, Liu, Luukka, Mahmud, Maniak, Maniak, McFarland, McInerney, Mitchell, Nasoz, Noulas, Palen, Pang, Parpinelli, Poli, Quercia, Rahat Iqbal, Rainville, Reininger, Richards, Rish, Sagiroglu, Simmons, Sun, Suthaharan, Tan, Tran, Utgoff, Victor Chang, Wang, Warren, Wells-Parker, Whitley, Zadeh   +76 more
core   +2 more sources

Patterns of Postictal Abnormalities in Relation to Status Epilepticus in Adults

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Abnormalities on peri‐ictal diffusion‐weighted magnetic resonance imaging (DWI‐PMAs) are well‐established for patients with status epilepticus (SE), but knowledge on patterns of DWI‐PMAs and their prognostic impact is sparse. Methods This systematic review and individual participant data meta‐analysis included observational studies ...
Andrea Enerstad Bolle, Silvana Sarria‐Estrada, Thomas Bonduelle, Bertram Daniel Dynesen, Manuel Toledo, Zhu Chung Che, Kjell Heuser, Anastasios Chatzikonstantinou, Jérôme Aupy, Udaya Seneviratne, Estevo Santamarina Perez, Christoph Patrick Beier   +11 more
wiley   +1 more source

Intelligent driver drowsiness detection system using uncorrelated fuzzy locality preserving analysis [PDF]

, 2011
One of the leading causes of automobile accidents is related to driving impairment due to drowsiness. A large percentage of these accidents occur due to drivers' unawareness of the degree of impairment.
Dissanayake, G, Khushaba, RN, Kodagoda, S, Lal, S   +3 more
core   +1 more source

Sleep Alters the Velocity of Physiological Brain Pulsations in Humans

Advanced Science, EarlyView.
Sleep alters I/CSF oscillatory flow, driven by increased respiratory (29%) and vasomotor pulsation (21%) velocities, while cardiovascular pulsations decreased by (22%). Velocity is quantified using optical flow analysis of MREG data. Spectral power increases alongside these pulsations (spatial correlation, r = 0.35 and r = 0.39, respectively ...
Ahmed Elabasy, Heta Helakari, Tommi Väyrynen, Zalán Rajna, Niko Huotari, Lauri Raitamaa, Ville Isokoski, Matti Järvelä, Mika Kaakinen, Johanna Piispala, Mika Kallio, Vesa Korhonen, Tapio Seppänen, Vesa Kiviniemi   +13 more
wiley   +1 more source

Deteksi Kantuk pada Pengemudi Berdasarkan Penginderaan Wajah Menggunakan PCA dan SVM

Jurnal Rekayasa Elektrika, 2021
Drowsiness while driving is one of the main causes of traffic accidents it affects the level of focus of the driver. Therefore, we need an automatic drowsiness detection mechanism for the driver to provide a warning or alarm so that an accident can be ...
Nur Ramadhani, Suci Aulia, Efri Suhartono, Sugondo Hadiyoso   +3 more
doaj   +1 more source

Automated drowsiness detection for improved driving safety [PDF]

, 2008
Several approaches were proposed for the detection and prediction of drowsiness. The approaches can be categorized as estimating the fitness of duty, modeling the sleep-wake rhythms, measuring the vehicle based performance and online operator monitoring ...
Bartlett, Marian, Cetin, Mujdat, Ercil, Aytul, Erçil, Aytül, Littlewort, Gwen, Movellan, Javier, Vural, Esra, Çetin, Müjdat   +7 more
core  

A Wearable Brain–Computer Interface for Mitigating Car Sickness via Attention Shifting

Advanced Science, EarlyView.
Car sickness poses a major challenge in vehicular travel, yet effective nonpharmacological solutions are scarce. We developed a wearable, closed‐loop mindfulness BCI that uses real‐time EEG‐based neurofeedback to shift attention away from motion‐induced discomfort. Validated in real‐car experiments involving >100$>100$ susceptible individuals, over 83%
Jiawei Zhu, Xiaoyu Bao, Qiyun Huang, Tao Wang, Li Huang, Haiyun Huang, Junbiao Zhu, Jun Qu, Kendi Li, Di Chen, Ya Jiang, Kailin Xu, Zijian Wang, Wei Wu, Yuanqing Li   +14 more
wiley   +1 more source

Drowsiness Detection using CNN [PDF]

, 2021
Driver drowsiness has become one of the leading causes of car accidents in recent years resulting in serious physical injuries, fatalities and substantial financial losses. According to statistics, are liable driver drowsiness detection system is needed to warn the driver before a collision occurs.
Sheela. S, Jothika. D. E, Swarnapriya. N, Vishali. B. R   +3 more
openaire   +1 more source