DocumentCode :
1881195
Title :
Bathroom movements monitoring UWB sensor with feature extraction algorithm
Author :
Kashima, Kenji ; Nakamura, Ryosuke ; Kajiwara, A.
Author_Institution :
Grad. Sch. of Environ. Eng., Univ. of Kitakyushu, Fukuoka, Japan
fYear :
2013
fDate :
19-21 Feb. 2013
Firstpage :
118
Lastpage :
122
Abstract :
In this paper, a bathroom movements monitoring sensor system based on Ultra-Wideband Radio (UWB-IR) is suggested where a Cube Higher-order Local Auto-Correlation (CHLAC) method is employed to estimate some movements of a bathing person against waving from the surface of water in a bathtub. The usefulness of our suggested algorithm is investigated experimentally and it is shown that estimation rate of more than 90% can be attained for various a bathing persons movements in a bathroom.
Keywords :
computerised monitoring; correlation methods; feature extraction; higher order statistics; image sensors; ultra wideband communication; CHLAC; UWB-IR; bathing person; bathroom person movement monitoring UWB sensor; cube higher-order local autocorrelation method; feature extraction algorithm; movement estimation; ultrawideband radio; water surface waving; Accidents; Biology; Estimation; Feature extraction; Monitoring; Signal processing algorithms; Ultra wideband technology; CHLAC; UWB; bathroom; feature extraction; monitoring sensor; range profile;
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.2013.6493569
Filename :
6493569
Link To Document :
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