DocumentCode :
1881386
Title :
Ultra-wideband monitoring sensor with pattern recognition
Author :
Nakama, H. ; Nakamura, Ryosuke ; Kajiwara, A.
Author_Institution :
Grad. Sch. of Environ. Eng., Univ. of Kitakyushu, Fukuoka, Japan
fYear :
2013
fDate :
19-21 Feb. 2013
Firstpage :
167
Lastpage :
170
Abstract :
Elderly-care support is a very important issue in many developed countries because of the arrival of increasingly aging society. Actually, fall accidents often take place in care facilities when the elderly attempt to leave the bed alone. So, a sensor estimating their state and motion with ultra-wideband are gaining a lot of attention because of preventing those accidents. In this paper, we propose an algorithm to estimate their motion on a bed accurately with support vector machine (SVM) which is one of pattern recognition. This paper presents the measurement results conducted in a care/ nursing home about the effectiveness of the proposed algorithm.
Keywords :
biomechanics; biomedical measurement; geriatrics; medical signal processing; motion estimation; patient care; patient monitoring; pattern recognition; support vector machines; SVM; care facilities; elderly-care support; fall accidents; motion estimation; nursing home; pattern recognition; support vector machine; ultrawideband monitoring sensor; Accidents; Antenna measurements; Distance measurement; Monitoring; Pattern recognition; Senior citizens; Support vector machines; Elderly-care; SVM; motion estimation; pattern recognition; ultrawideband;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensors Applications Symposium (SAS), 2013 IEEE
Conference_Location :
Galveston, TX
Print_ISBN :
978-1-4673-4636-8
Type :
conf
DOI :
10.1109/SAS.2013.6493579
Filename :
6493579
Link To Document :
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