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PrivacEye: privacy-preserving head-mounted eye tracking using egocentric scene image and eye movement features

Authors:

Andreas BullingAuthors Info & Claims

ETRA '19: Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications

Article No.: 26, Pages 1 - 10

https://doi.org/10.1145/3314111.3319913

Published: 25 June 2019 Publication History

Abstract

Eyewear devices, such as augmented reality displays, increasingly integrate eye tracking, but the first-person camera required to map a user's gaze to the visual scene can pose a significant threat to user and bystander privacy. We present PrivacEye, a method to detect privacy-sensitive everyday situations and automatically enable and disable the eye tracker's first-person camera using a mechanical shutter. To close the shutter in privacy-sensitive situations, the method uses a deep representation of the first-person video combined with rich features that encode users' eye movements. To open the shutter without visual input, PrivacEye detects changes in users' eye movements alone to gauge changes in the "privacy level" of the current situation. We evaluate our method on a first-person video dataset recorded in daily life situations of 17 participants, annotated by themselves for privacy sensitivity, and show that our method is effective in preserving privacy in this challenging setting.

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Cited By

Keppel JStrauss MGruenefeld USchneegass S(2024)Magic Mirror: Designing a Weight Change Visualization for Domestic UseProceedings of the ACM on Human-Computer Interaction10.1145/36981498:ISS(569-596)Online publication date: 24-Oct-2024
https://dl.acm.org/doi/10.1145/3698149
Du LJia JZhang XLan G(2024)PrivateGaze: Preserving User Privacy in Black-box Mobile Gaze Tracking ServicesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785958:3(1-28)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678595
Shalawadi SGetschmann Cvan Berkel NEchtler F(2024)Manual, Hybrid, and Automatic Privacy Covers for Smart Home CamerasProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661569(3453-3470)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3661569
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Index Terms

PrivacEye: privacy-preserving head-mounted eye tracking using egocentric scene image and eye movement features
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interactive systems and tools
  2. Ubiquitous and mobile computing
    1. Ubiquitous and mobile devices

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cover image ACM Conferences

ETRA '19: Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications

June 2019

623 pages

ISBN:9781450367097

DOI:10.1145/3314111

Conference Chairs:
Krzysztof Krejtz
SWPS University, Poland
,
Bonita Sharif
University of Nebraska-Lincoln

Copyright © 2019 ACM.

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Published: 25 June 2019

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June 25 - 28, 2019

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Cited By

Keppel JStrauss MGruenefeld USchneegass S(2024)Magic Mirror: Designing a Weight Change Visualization for Domestic UseProceedings of the ACM on Human-Computer Interaction10.1145/36981498:ISS(569-596)Online publication date: 24-Oct-2024
https://dl.acm.org/doi/10.1145/3698149
Du LJia JZhang XLan G(2024)PrivateGaze: Preserving User Privacy in Black-box Mobile Gaze Tracking ServicesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785958:3(1-28)Online publication date: 9-Sep-2024
https://dl.acm.org/doi/10.1145/3678595
Shalawadi SGetschmann Cvan Berkel NEchtler F(2024)Manual, Hybrid, and Automatic Privacy Covers for Smart Home CamerasProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661569(3453-3470)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3661569
Xu AZhou ZMiyazaki KYoshikawa RHosio SYatani K(2024)DIPA2Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314397:4(1-30)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3631439
Bhardwaj DPonticello ATomar SDabrowski AKrombholz K(2024)In Focus, Out of Privacy: The Wearer's Perspective on the Privacy Dilemma of Camera GlassesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642242(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642242
Bektaş KStrecker JMayer SGarcia K(2024)Gaze-enabled activity recognition for augmented reality feedbackComputers and Graphics10.1016/j.cag.2024.103909119:COnline publication date: 1-Apr-2024
https://dl.acm.org/doi/10.1016/j.cag.2024.103909
Kurzhals K(2024)Anonymizing eye-tracking stimuli with stable diffusionComputers & Graphics10.1016/j.cag.2024.103898119(103898)Online publication date: Apr-2024
https://doi.org/10.1016/j.cag.2024.103898
Plizzari CGoletto GFurnari ABansal SRagusa FFarinella GDamen DTommasi T(2024)An Outlook into the Future of Egocentric VisionInternational Journal of Computer Vision10.1007/s11263-024-02095-7132:11(4880-4936)Online publication date: 28-May-2024
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Matsui TMisaki SSuwa HYasumoto K(2023)Privacy Filtering Using Word Embedding for 3D Point Cloud Based Spatial Sharing Systems2023 Fourteenth International Conference on Mobile Computing and Ubiquitous Network (ICMU)10.23919/ICMU58504.2023.10412252(1-7)Online publication date: 29-Nov-2023
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Grootjen JSipatchin AWahl SMachulla TChuang LKosch T(2023)Assessing Eye Tracking for Continuous Central Field Loss MonitoringProceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia10.1145/3626705.3627776(54-64)Online publication date: 3-Dec-2023
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