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Electronics 2018, 7(3), 37; https://doi.org/10.3390/electronics7030037

Human Posture Identification Using a MIMO Array

1,†,* , 1,†
,
2,†
and
2,†
1
Graduate School of Engineering, Iwate University, Morioka 020-8551, Japan
2
Panasonic Corporation, Kadoma 571-8501, Japan
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Received: 30 January 2018 / Revised: 1 March 2018 / Accepted: 6 March 2018 / Published: 8 March 2018
(This article belongs to the Special Issue Data Processing and Wearable Systems for Effective Human Monitoring)
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Abstract

The elderly are constantly in danger of falling and injuring themselves without anyone realizing it. A safety-monitoring system based on microwaves can ease these concerns. The authors have proposed safety-monitoring systems that use multiple-input multiple-output (MIMO) radar to localize persons by capturing their biological activities such as respiration. However, our studies to date have focused on localization, which is easier to achieve than an estimation of human postures. This paper proposes a human posture identification scheme based on height and a Doppler radar cross section (RCS) as estimated by a MIMO array. This scheme allows smart home applications to dispense with contact and wearable devices. Experiments demonstrate that this method can identify the supine position (i.e., after a fall) with 100% accuracy, and the average identification rate is 95.0%. View Full-Text
Keywords: MIMO array; localization; Doppler RCS; human posture identification MIMO array; localization; Doppler RCS; human posture identification
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Sasakawa, D.; Honma, N.; Nakayama, T.; Iizuka, S. Human Posture Identification Using a MIMO Array. Electronics 2018, 7, 37.

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