Haven't we met before? - A realistic memory assistance system to remind you of the person in front of you

Masakazu Iwamura, Kai Kunze, Yuya Kato, Yuzuko Utsumi, Koichi Kise

研究成果: Conference contribution

8 被引用数 (Scopus)

抄録

This paper presents a perceived real-time system for memory augmentation. We propose a realistic approach to realize a memory assistance system, focusing on retrieving the person in front of you. The proposed system is capable of fully automatic indexing and is scalable in the database size. We utilize face recognition to show the user previous encounters with the person they are currently looking at. The system works fast (under 200 ms, perceived real time) with a decent database size (45 videos of 24 people). We also provide evidence in terms of an online questionnaire that our proposed memory augmentation system is useful and would be worn by most of the participants if it can be implemented in an unobtrusive way.

本文言語English
ホスト出版物のタイトルProceedings of the 5th Augmented Human International Conference, AH 2014
出版社Association for Computing Machinery
ISBN(印刷版)9781450327619
DOI
出版ステータスPublished - 2014
外部発表はい
イベント5th Augmented Human International Conference, AH 2014 - Kobe, Japan
継続期間: 2014 3 72014 3 8

出版物シリーズ

名前ACM International Conference Proceeding Series

Other

Other5th Augmented Human International Conference, AH 2014
CountryJapan
CityKobe
Period14/3/714/3/8

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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引用スタイル