Feature Selection and Activity Recognition to Detect Water Waste from Water Tap Usage

In this paper, water tap usage is examined based on water sound analysis. We focus on detecting "water waste" to make persuasion of water savings effective, where two types of water waste are defined: inter-activity water waste and intra-activity water waste. Based on a preliminary user su...

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Bibliographic Details
Published in:	2011 IEEE 17th International Conference on Embedded and Real-Time Computing Systems and Applications Vol. 2; pp. 138 - 141
Main Authors:	Trang Thuy Vu, Sokan, Akifumi, Nakajo, Hironori, Fujinami, Kaori, Suutala, J., Siirtola, P., Alasalmi, T., Pitkanen, A., Roning, Juha
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-08-2011
Subjects:	Accuracy Error analysis Microphones Monitoring Real time systems Sensors Water conservation
Online Access:	Get full text
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Summary:	In this paper, water tap usage is examined based on water sound analysis. We focus on detecting "water waste" to make persuasion of water savings effective, where two types of water waste are defined: inter-activity water waste and intra-activity water waste. Based on a preliminary user survey, four types of basin-related activities are identified that occur with water waste. We apply a spectrum subtraction method for feature selection and propose cascaded classifiers for activity recognition. The result of an evaluation presents that the aggregate accuracies to identify inter-activity water waste and intra-activity one are 100.0 % and 81.1%, respectively.
ISBN:	9781457711183 1457711184
ISSN:	2325-1271
DOI:	10.1109/RTCSA.2011.47