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Estimation of Drivers’ Gaze Behavior by Potential Attention When Using Human–Machine Interface

  • Published:2023 Issue: Volume:11 Page:16723-16734
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Yamaguchi Yu1ORCID,Okafuji Yuki1ORCID,Wada Takahiro2ORCID,Murakami Kazuomi3,Ishida Hiroyuki3

Affiliation:

1. College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan

2. Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma, Nara, Japan

3. KOITO MANUFACTURING COMPANY LTD., Shizuoka, Japan

Funder

Japan Society for the Promotion of Science (JSPS) KAKENHI

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference29 articles.

1. Real-time categorization of driver’s gaze zone and head pose -using the convolutional neural network;choi;Proc HCI Korea,2016

2. Effects of an active visuomotor steering task on covert attention

3. Driver Gaze Region Estimation without Use of Eye Movement

4. Driver Gaze Zone Estimation Using Convolutional Neural Networks: A General Framework and Ablative Analysis

5. More than the useful field: Considering peripheral vision in driving;wolfe;Appl Ergonom,2019

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A review of driver gaze estimation and application in gaze behavior understanding;Engineering Applications of Artificial Intelligence;2024-07
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