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

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

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

13 Citations (Scopus)


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-tofine 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.

Original languageEnglish
Title of host publication4th Augmented Human International Conference, AH 2013
Number of pages4
Publication statusPublished - 2013
Externally publishedYes
Event4th Augmented Human International Conference, AH 2013 - Stuttgart, Germany
Duration: 2013 Mar 72013 Mar 8

Publication series

NameACM International Conference Proceeding Series


Other4th Augmented Human International Conference, AH 2013


  • Coarse-to-fine recognition
  • Face recognition
  • Wearable system

ASJC Scopus subject areas

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


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