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Applying Information Theory Divergence to Unsupervised Clustering of Driving Gaze Distribution

Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Tracking driver’s gaze is an integral part of driving monitoring systems, designed to assess the driver’s state. In this work, we report a novel method that creates a ‘vocabulary’ of driver’s gaze patterns during naturalistic driving, across a variety of driving environments. We use an information-theory based unsupervised clustering method to create a
Ron M. Hecht   +6 more
openaire   +1 more source

RELATIONSHIP BETWEEN CONTEMPORARY URBAN SEQUENCE AND GAZE DISTRIBUTION

Journal of Architecture and Planning (Transactions of AIJ), 2020
Midori OSHIMA   +2 more
openaire   +1 more source

Central Bias in Social Attention: The Development of Gaze Distribution in the First Two Years

2023 IEEE International Conference on Development and Learning (ICDL), 2023
Lichao Sun 0003, Hanako Yoshida
openaire   +1 more source

Gender Classification using the Gaze Distributions of Observers on Privacy-protected Training Images

Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2020
Michiko Inoue   +2 more
openaire   +2 more sources

EXPLORING FACULTY MEMBERS' GAZE DISTRIBUTION IN HIGHER EDUCATION CLASSROOMS

EDULEARN Proceedings
Yeliz Tunga   +2 more
openaire   +2 more sources

Combining gaze and AI planning for online human intention recognition

Artificial Intelligence, 2020
Joshua Newn   +2 more
exaly  

Human Papillomavirus Genotype Distributions Inform Screening and Vaccination Policy†

Ca-A Cancer Journal for Clinicians, 2009
Mary Desmond Pinkowish, M D Pinkowish
exaly  

Appearance-Based Gaze Estimation Using Visual Saliency

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013
Yasuyuki Matsushita   +2 more
exaly  

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