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