Wakefulness State Estimation Method Using Eye Movement and Deep Learning

被引：0

作者：

Tsuzuki, Yutaka ^{[1
]}

Ishida, Naoya ^{[1
]}

Nagatsu, Yuki ^{[1
]}

Hashimoto, Hideki ^{[1
]}

机构：

[1] Chuo Univ, Dept Elect Elect & Commun Engn, Tokyo, Japan

来源：

PROCEEDINGS OF 2021 IEEE 30TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE) | 2021年

关键词：

Biomedical monitoring; Drowsiness Estimation; Awakening Effort; Deep learning; Eye movement;

D O I：

10.1109/ISIE45552.2021.9576304

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In recent years, the number of traffic accidents caused by drivers falling asleep has increased. Many studies have reported that drowsiness occurs while driving, resulting in a need of a system to detect driver drowsiness. In this study, we use a camera sensor that can sense the state of a person while driving a car without any physical constraints and without awareness of the device. We also estimate the wakefulness state using deep learning and eye movements to detect any increase in wakefulness due to drowsiness. This estimation method is found to be highly accurate.

引用

页数：6

共 50 条

[21] A review on distribution system state estimation uncertainty issues using deep learning approaches
Raghuvamsi, Y.
Teeparthi, Kiran
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2023, 187
[22] Physics Informed Deep Learning for Traffic State Estimation
Huang, Jiheng
Agarwal, Shaurya
2020 IEEE 23RD INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2020,
[23] Estimation of Melting State at Groove Root in Pulsed MAG Welding Using Deep Learning
Yamane S.
Wang D.
Zhang G.
Yosetsu Gakkai Ronbunshu/Quarterly Journal of the Japan Welding Society, 2021, 39 (04): : 322 - 333
[24] Predicting consumer choice from raw eye-movement data using the RETINA deep learning architecture
Moshe Unger
Michel Wedel
Alexander Tuzhilin
Data Mining and Knowledge Discovery, 2024, 38 : 1069 - 1100
[25] Eye gaze estimation: A survey on deep learning-based approaches
Pathirana, Primesh
Senarath, Shashimal
Meedeniya, Dulani
Jayarathna, Sampath
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 199
[26] Channel State Estimation in LTE-Based Heterogenous Networks Using Deep Learning
Cwalina, Krzysztof K.
Rajchowski, Piotr
Olejniczak, Alicja
Blaszkiewicz, Olga
Burczyk, Robert
SENSORS, 2021, 21 (22)
[27] Doubly-fed Deep Learning Method for Bad Data Identification in Linear State Estimation
Gu, Yingzhong
Yu, Zhe
Diao, Ruisheng
Shi, Di
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2020, 8 (06) : 1140 - 1150
[28] Retinal Eye Disease Detection Using Deep Learning
Jain, Lorick
Murthy, H. V. Srinivasa
Patel, Chirayush
Bansal, Devansh
2018 FOURTEENTH INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING (ICINPRO) - 2018, 2018, : 137 - 142
[29] Predicting consumer choice from raw eye-movement data using the RETINA deep learning architecture
Unger, Moshe
Wedel, Michel
Tuzhilin, Alexander
DATA MINING AND KNOWLEDGE DISCOVERY, 2024, 38 (03) : 1069 - 1100
[30] Chicken Weight Estimation Using Deep Learning
Sutapun, Boonsong
Sampanporn, Lawan
APPLICATIONS OF MACHINE LEARNING 2023, 2023, 12675

← 1 2 3 4 5 →