Haven't we met before? — A Realistic Memory Assistance System to Remind You of The Person in Front of You
| Language | English |
|---|---|
| Type | Proceedings of International Conferences |
| Authors | Masakazu Iwamura, Kai Kunze, Yuya Kato, Yuzuko Utsumi, 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 |
| Location | Kobe, Japan |
| Reviewed | Reviewed |
| Date | March 2014 |
| DOI | 10.1145/2582051.2582083 |
| Key | Iwamura2014_AH (id=1389) |
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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