SICE Journal of Control, Measurement, and System Integration
Online ISSN : 1884-9970
Print ISSN : 1882-4889
ISSN-L : 1882-4889
CONTRIBUTED PAPERS
Feature Selection Guideline for Presence/Absence Classification Using a Microwave Doppler Sensor
Kazuaki SHIBATakashi KABURAGIKenzo OZAKITakashi NAKAMURAYosuke KURIHARA
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2017 Volume 10 Issue 5 Pages 418-425

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Abstract

Aging is a serious issue in our global society. In particular, a smaller working population increases the burden on nurses and other healthcare professionals. To reduce the monitoring burden on nursing, a system that enables quantitative monitoring of the elderly automatically in their home is very desirable. We have proposed a novel system to classify the presence or absence of a subject within a designated area using a single microwave Doppler sensor. The proposed system utilizes the respirational signal obtained from the sensor and then classified using an SVM. In this paper, we discuss feature components that would positively or negatively affect the performance of the system. The experimental results show that the combination of a demodulated time domain feature and frequency domain features affect positively to the accuracy of the system.

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© 2017 The Society of Instrument and Control Engineers
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