demonstration

Negative FaceBlurring: A Privacy-by-Design Approach to Visual Lifelogging with Google Glass

Authors:

Tengqi Ye,

Brian Moynagh,

Rami Albatal,

Cathal GurrinAuthors Info & Claims

CIKM '14: Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management

Pages 2036 - 2038

https://doi.org/10.1145/2661829.2661841

Published: 03 November 2014 Publication History

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Abstract

Wearable devices such as Google Glass are receiving increasing attention and look set to become part of our technical landscape over the next few years. At the same time, lifelogging is a topic that is growing in popularity with a host of new devices on the market that visually capture life experience in an automated manner. In this paper, we describe a visual lifelogging solution for Google Glass that is designed to capture life experience in rich visual detail, yet maintain the privacy of unknown bystanders.

We present the approach called negative face blurring and evaluate it on a collection of lifelogging data of around nine thousand pictures from Google Glass.

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Cited By

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Perez AZeadally S(2021)Recent Advances in Wearable Sensing TechnologiesSensors10.3390/s2120682821:20(6828)Online publication date: 14-Oct-2021
https://doi.org/10.3390/s21206828
Catherwood PFinlay DMcLaughlin J(2021)Subcutaneous body area networks: A SWOT analysis2015 IEEE International Symposium on Technology and Society (ISTAS)10.1109/ISTAS.2015.7439414(1-8)Online publication date: 10-Mar-2021
https://dl.acm.org/doi/10.1109/ISTAS.2015.7439414
Perez AZeadally SGriffith SGarcia LMouloud J(2020)A User Study of a Wearable System to Enhance Bystanders’ Facial PrivacyIoT10.3390/iot10200131:2(198-217)Online publication date: 10-Oct-2020
https://doi.org/10.3390/iot1020013
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Index Terms

Negative FaceBlurring: A Privacy-by-Design Approach to Visual Lifelogging with Google Glass
1. Applied computing
2. Information systems

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Published In

CIKM '14: Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management

November 2014

2152 pages

ISBN:9781450325981

DOI:10.1145/2661829

General Chairs:
Jianzhong Li
Harbin Inst. of Technology
,
X. Sean Wang
Fudan University
,
Program Chairs:
Minos Garofalakis
Technical University of Crete, Greece
,
Ian Soboroff
National Institute of Standards, USA
,
Torsten Suel
New York University, USA
,
Min Wang
Google Research, USA

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 03 November 2014

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November 3 - 7, 2014

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CIKM '14 Paper Acceptance Rate 175 of 838 submissions, 21%;

Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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Perez AZeadally S(2021)Recent Advances in Wearable Sensing TechnologiesSensors10.3390/s2120682821:20(6828)Online publication date: 14-Oct-2021
https://doi.org/10.3390/s21206828
Catherwood PFinlay DMcLaughlin J(2021)Subcutaneous body area networks: A SWOT analysis2015 IEEE International Symposium on Technology and Society (ISTAS)10.1109/ISTAS.2015.7439414(1-8)Online publication date: 10-Mar-2021
https://dl.acm.org/doi/10.1109/ISTAS.2015.7439414
Perez AZeadally SGriffith SGarcia LMouloud J(2020)A User Study of a Wearable System to Enhance Bystanders’ Facial PrivacyIoT10.3390/iot10200131:2(198-217)Online publication date: 10-Oct-2020
https://doi.org/10.3390/iot1020013
Sukel MRudinac SWorring MGurrin CÞór Jónsson BKando NSchoeffmann KChen PO'Connor N(2020)Urban Object Detection Kit: A System for Collection and Analysis of Street-Level ImageryProceedings of the 2020 International Conference on Multimedia Retrieval10.1145/3372278.3390708(509-516)Online publication date: 8-Jun-2020
https://dl.acm.org/doi/10.1145/3372278.3390708
Perez AZeadally SMatos Garcia LMouloud JGriffith S(2018)FacePET: Enhancing Bystanders’ Facial Privacy with Smart Wearables/Internet of ThingsElectronics10.3390/electronics71203797:12(379)Online publication date: 3-Dec-2018
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Wang PSun LSmeaton AGurrin CYang S(2018)Computer Vision for LifeloggingComputer Vision for Assistive Healthcare10.1016/B978-0-12-813445-0.00009-5(249-282)Online publication date: 2018
https://doi.org/10.1016/B978-0-12-813445-0.00009-5
Lehman STan C(2017)PrivacyManager: An access control framework for mobile augmented reality applications2017 IEEE Conference on Communications and Network Security (CNS)10.1109/CNS.2017.8228630(1-9)Online publication date: Oct-2017
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Spiller KBall KBandara AMeadows MMcCormick CNuseibeh BPrice B(2017)Data Privacy: Users’ Thoughts on Quantified Self Personal DataSelf-Tracking10.1007/978-3-319-65379-2_8(111-124)Online publication date: 4-Oct-2017
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Ahmed TShaffer PConnelly KCrandall DKapadia A(2016)Addressing physical safety, security, and privacy for People with visual impairmentsProceedings of the Twelfth USENIX Conference on Usable Privacy and Security10.5555/3235895.3235923(341-354)Online publication date: 22-Jun-2016
https://dl.acm.org/doi/10.5555/3235895.3235923

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Sensitive Lifelogs: A Privacy Analysis of Photos from Wearable Cameras

Privacy behaviors of lifeloggers using wearable cameras

Analysing privacy in visual lifelogging

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