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- Title
USER IDENTIFICATION WITH USER'S STEPPING PATTERN OVER THE UBIFLOORII.
- Authors
YUN, JAESEOK; ABOWD, GREGORY D.; RYU, JEHA; WOO, WOONTACK
- Abstract
In this paper, we propose the UbiFloorII, a novel floor-based user identification system to recognize humans based on their stepping pattern, the arrays of the transitional footprints from heel-strike to toe-off. To obtain users' stepping pattern from their gait, we deployed photo interrupter sensors instead of switch sensors used in the UbiFloorI. We developed a software module to extract stepping pattern from users' gait. For user identification, we employed neural network trained with users' stepping samples. We achieved about 92% recognition accuracy using this floor-based approach. The UbiFloorII system may be used to automatically and transparently identify users in a home environment.
- Subjects
ARTIFICIAL neural networks; IDENTIFICATION; IDENTIFICATION equipment; USER interfaces; FOOTPRINTS
- Publication
International Journal of Pattern Recognition & Artificial Intelligence, 2008, Vol 22, Issue 3, p497
- ISSN
0218-0014
- Publication type
Article
- DOI
10.1142/S0218001408006338