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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 5th Augmented Human International Conference, AH 2014
PublisherAssociation for Computing Machinery
ISBN (Print)9781450327619
DOIs
Publication statusPublished - 2014 Jan 1
Event5th Augmented Human International Conference, AH 2014 - Kobe, Japan
Duration: 2014 Mar 72014 Mar 8

Publication series

NameACM International Conference Proceeding Series

Other

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

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Keywords

  • Face recognition
  • Memory assistance system
  • Memory augmentation
  • Wearable

ASJC Scopus subject areas

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

Cite this

Iwamura, M., Kunze, K., Kato, Y., Utsumi, Y., & Kise, K. (2014). Haven't we met before? - A realistic memory assistance system to remind you of the person in front of you. In Proceedings of the 5th Augmented Human International Conference, AH 2014 [a32] (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/2582051.2582083