publication . Article . 2018

Human Posture Identification Using a MIMO Array

Dai Sasakawa; Naoki Honma; Takeshi Nakayama; Iizuka Shoichi;
Open Access
  • Published: 01 Mar 2018 Journal: Electronics, volume 7, page 37 (eissn: 2079-9292, Copyright policy)
  • Publisher: MDPI AG
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...
Persistent Identifiers
Subjects
free text keywords: MIMO array, localization, Doppler RCS, human posture identification, Home automation, business.industry, business, Identification rate, Radar, law.invention, law, Identification scheme, Computer science, Wearable technology, Computer vision, MIMO, Artificial intelligence, Doppler radar, lcsh:Electronics, lcsh:TK7800-8360
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