Title :
Personal Recognition using Head-Top Image for Health-Monitoring System in the Home
Author :
Nakajima, K. ; Sasaki, K.
Author_Institution :
Department 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.
Keywords :
Personal recognition; head-top image; smart house; space spectrum; Aging; Biometrics; Cameras; Electrocardiography; Hair; Head; Image recognition; Performance analysis; Pixel; Senior citizens;
Conference_Titel :
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Print_ISBN :
0-7803-8439-3
DOI :
10.1109/IEMBS.2004.1403888