Japanese / English

Detail of Publication

Text Language English
Authors Masakazu Iwamura, Kai Kunze, Yuya Kato, Yuzuko Utsumi and Koichi Kise
Title Haven't we met before? — A Realistic Memory Assistance System to Remind You of The Person in Front of You
Journal Proc. 5th Augmented Human (AH2014)
Number of Pages 4 pages
Reviewed or not Reviewed
Month & Year March 2014
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.
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