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Who are you?: A wearable face recognition system to support human memory

Authors:

Koichi KiseAuthors Info & Claims

AH '13: Proceedings of the 4th Augmented Human International Conference

Pages 150 - 153

https://doi.org/10.1145/2459236.2459262

Published: 07 March 2013 Publication History

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Abstract

Have you ever experienced that you cannot remember the name of a person you meet again? To circumvent such an awkward situation, it would be great if you had had a system that tells you the name of the person in secret. In this paper, we propose a wearable system of real-time face recognition to support human memory. The contributions of our work are summarized as follows: (1) We discuss the design and implementation details of a wearable system capable of augmenting human memory by vision-based realtime face recognition. (2) We propose a 2 step recognition approach from coarse-to-fine grain to boost the execution time towards the social acceptable limit of 900 [ms]. (3) In experiments, we evaluate the computational time and recognition rate. As results, the proposed system could recognize a face in 238 ms with the the cumulative recognition rate at the 10th rank was 93.3 %. Computational time with the coarse-to-fine search was 668 ms less than that without coarse-to-fine search and the results showed that the proposed system has enough ability to recognize faces in real time.

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Cited By

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Chen SYao DCao HShen C(2019)A Novel Approach to Wearable Image Recognition Systems to Aid Visually Impaired PeopleApplied Sciences10.3390/app91633509:16(3350)Online publication date: 15-Aug-2019
https://doi.org/10.3390/app9163350
Kianpisheh MLi FTruong K(2019)Face Recognition Assistant for People with Visual ImpairmentsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/33512483:3(1-24)Online publication date: 9-Sep-2019
https://dl.acm.org/doi/10.1145/3351248
Gizaw K(2019)Neuroethics of Augmenting Human Memory Using Wearable Pervasive and Ubiquitous TechnologiesICT Unbounded, Social Impact of Bright ICT Adoption10.1007/978-3-030-20671-0_1(3-9)Online publication date: 19-May-2019
https://doi.org/10.1007/978-3-030-20671-0_1
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Who are you?: A wearable face recognition system to support human memory

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Published In

AH '13: Proceedings of the 4th Augmented Human International Conference

March 2013

254 pages

ISBN:9781450319041

DOI:10.1145/2459236

General Chair:
Albrecht Schmidt
University of Stuttgart, Germany
,
Program Chairs:
Andreas Bulling
Max Planck Institute for Informatics Saarbrücken, Germany
,
Christian Holz
Hasso Plattner Institute, Germany

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

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Published: 07 March 2013

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SimTech
Universität Stuttgart

AH'13: 4th Augmented Human International Conference

March 7 - 8, 2013

Stuttgart, Germany

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AH '13 Paper Acceptance Rate 49 of 69 submissions, 71%;

Overall Acceptance Rate 121 of 306 submissions, 40%

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Chen SYao DCao HShen C(2019)A Novel Approach to Wearable Image Recognition Systems to Aid Visually Impaired PeopleApplied Sciences10.3390/app91633509:16(3350)Online publication date: 15-Aug-2019
https://doi.org/10.3390/app9163350
Kianpisheh MLi FTruong K(2019)Face Recognition Assistant for People with Visual ImpairmentsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/33512483:3(1-24)Online publication date: 9-Sep-2019
https://dl.acm.org/doi/10.1145/3351248
Gizaw K(2019)Neuroethics of Augmenting Human Memory Using Wearable Pervasive and Ubiquitous TechnologiesICT Unbounded, Social Impact of Bright ICT Adoption10.1007/978-3-030-20671-0_1(3-9)Online publication date: 19-May-2019
https://doi.org/10.1007/978-3-030-20671-0_1
Hellmund TSeitz AHaladjian JBruegge B(2018)IPRAProceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers10.1145/3267305.3274122(988-993)Online publication date: 8-Oct-2018
https://dl.acm.org/doi/10.1145/3267305.3274122
Bâce MSörös GStaal SCorbellini GMistry PMaes PSeigneur JNanayakkara SParadiso J(2017)HandshakARProceedings of the 8th Augmented Human International Conference10.1145/3041164.3041203(1-5)Online publication date: 16-Mar-2017
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Chakraborty AMandal BYuan J(2017)Person Reidentification Using Multiple Egocentric ViewsIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2016.261544527:3(484-498)Online publication date: 1-Mar-2017
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Akkil DLucero AKangas JJokela TSalmimaa MRaisamo RBjörk SEriksson EFjeld MBødker SBarendregt WObaid M(2016)User Expectations of Everyday Gaze Interaction on SmartglassesProceedings of the 9th Nordic Conference on Human-Computer Interaction10.1145/2971485.2971496(1-10)Online publication date: 23-Oct-2016
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Chakraborty AMandal BGaloogahi H(2016)Person re-identification using multiple first-person-views on wearable devices2016 IEEE Winter Conference on Applications of Computer Vision (WACV)10.1109/WACV.2016.7477676(1-8)Online publication date: Mar-2016
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Mandal BWang ZLi LKassim A(2016)Performance evaluation of local descriptors and distance measures on benchmarks and first-person-view videos for face identificationNeurocomputing10.1016/j.neucom.2015.07.121184:C(107-116)Online publication date: 5-Apr-2016
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Xu QMukawa MLi LLim JTan CChia SGan TMandal BNanayakkara SDo ERekimoto JHuber JChen B(2015)Exploring users' attitudes towards social interaction assistance on Google GlassProceedings of the 6th Augmented Human International Conference10.1145/2735711.2735831(9-12)Online publication date: 9-Mar-2015
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Face recognition under varying illumination using gradientfaces

Age-Invariant Face Recognition

Automatic face analysis system based on face recognition and facial physiognomy

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