research-article

A Glass-type Agent for Human Memory Assistance for Face Recognition

Authors:

Bumhwi Kim,

Jonghong Kim,

Rammohan Mallipeddi,

Minho LeeAuthors Info & Claims

HAI '15: Proceedings of the 3rd International Conference on Human-Agent Interaction

Pages 283 - 286

https://doi.org/10.1145/2814940.2814998

Published: 21 October 2015 Publication History

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Abstract

This paper proposes an agent to assist human cognition in memorizing multiple human faces by analyzing user's eye gaze points. The gaze point which is the direction of sight is obtained by the infrared camera on a glass-type agent with the help of an embedded module. The gaze information is then combined with the image captured by the frontal camera to identify the location of the face that the user is looking at among several faces. The gaze detection and face selection with tracking are performed in embedded modules attached to the glass-type agent, and the recognition of the selected facial images is performed and shown on a mobile computer connected via wireless network. The major contribution of the proposed work is the use of eye gaze direction to select faces of interest, and provide information regarding the faces to improve human memory capability in recalling the faces.

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Cited By

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Chan SBernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)Biosignal-Sensitive Memory Improvement and Support SystemsExtended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3334480.3375031(1-7)Online publication date: 25-Apr-2020
https://dl.acm.org/doi/10.1145/3334480.3375031

Index Terms

A Glass-type Agent for Human Memory Assistance for Face Recognition
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
      2. Computer vision tasks
        Scene understanding
2. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

HAI '15: Proceedings of the 3rd International Conference on Human-Agent Interaction

October 2015

254 pages

ISBN:9781450335270

DOI:10.1145/2814940

General Chairs:
Minho Lee
Kyungpook National University, Korea
,
Takashi Omori
Tamagawa University, Japan
,
Program Chairs:
Hirotaka Osawa
University of Tsukuba, Japan
,
Hyeyoung Park
Kyungpook National University, Korea
,
James Young
University of Manitoba, Canada

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 the author(s) 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

Publication History

Published: 21 October 2015

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This work was supported by the Industrial Strategic Technology Development Program (10044009) funded by the Ministry of Trade, Industry and Energy (MOTIE, Korea).

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HAI 2015

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BESK

HAI 2015: The Third International Conference on Human-Agent Interaction

October 21 - 24, 2015

Kyungpook, Daegu, Republic of Korea

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Overall Acceptance Rate 121 of 404 submissions, 30%

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Chan SBernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)Biosignal-Sensitive Memory Improvement and Support SystemsExtended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3334480.3375031(1-7)Online publication date: 25-Apr-2020
https://dl.acm.org/doi/10.1145/3334480.3375031

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Person re-identification in TV series using robust face recognition and user feedback

Age-Invariant Face Recognition

Face recognition under varying illumination using gradientfaces

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