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Electronics 2018, 7(3), 37;

Human Posture Identification Using a MIMO Array

Graduate School of Engineering, Iwate University, Morioka 020-8551, Japan
Panasonic Corporation, Kadoma 571-8501, Japan
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
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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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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Sasakawa, D.; Honma, N.; Nakayama, T.; Iizuka, S. Human Posture Identification Using a MIMO Array. Electronics 2018, 7, 37.

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