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Personal recognition using head-top image for health-monitoring system in the home
1Department of Electrical and Electronic Engineering, Faculty of Engineering, Toyama University, Toyama, Japan.
Abstract:
Automatic health-monitoring systems for the smart house are being developed for the elderly. An automatic health-monitoring system needs a way of personal recognition when two or more aged persons live together. We propose a personal recognition method based on the space spectrum of the head-top image. We examined 33 head-top images from eleven subjects and achieved a personal recognition rate of 86.4 percent. When one subject with thinning hair was excluded, the personal recognition rate was 90.0 percent in 30 head-top images from ten subjects.
