Intelligent wireless walls for contactless in-home monitoring

Muhammad Usman; James Rains; Tie Jun Cui; Muhammad Zakir Khan; Jalil ur Rehman Kazim; Muhammad Ali Imran; Qammer H. Abbasi

doi:10.1038/s41377-022-00906-5

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Intelligent wireless walls for contactless in-home monitoring

Original Articles

- Intelligent wireless walls for contactless in-home monitoring
- Light: Science & Applications Vol. 11, Issue 10, Pages: 2308-2320(2022)
- Affiliations：
  
  1.University of Glasgow, James Watt School of Engineering, Glasgow, G12 8QQ, UK
  2.State Key Laboratory of Millimetre Waves, Southeast University, Nanjing, China
- Author bio：
  
  Qammer H. Abbasi (qammer.abbasi@glasgow.ac.uk)
- Funds：
- DOI：10.1038/s41377-022-00906-5
  CLC：
- Published：31 October 2022，
  
  Published Online：07 July 2022，
  
  Received：07 February 2022，
  
  Revised：25 May 2022，
  
  Accepted：20 June 2022
- Accepted：
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Usman, M. et al. Intelligent wireless walls for contactless in-home monitoring. Light: Science & Applications, 11, 2308-2320 (2022).
DOI：

Usman, M. et al. Intelligent wireless walls for contactless in-home monitoring. Light: Science & Applications, 11, 2308-2320 (2022). DOI： 10.1038/s41377-022-00906-5.

摘要

Abstract

Human activity monitoring is an exciting research area to assist independent living among disabled and elderly population. Various techniques have been proposed to recognise human activities

such as exploiting sensors

cameras

wearables

and contactless microwave sensing. Among these

the microwave sensing has recently gained significant attention due to its merit to solve the privacy concerns of cameras and discomfort caused by wearables. However

the existing microwave sensing techniques have a basic disadvantage of requiring controlled and ideal settings for high-accuracy activity detections

which restricts its wide adoptions in non-line-of-sight (Non-LOS) environments. Here

we propose a concept of intelligent wireless walls (IWW) to ensure high-precision activity monitoring in complex environments wherein the conventional microwave sensing is invalid. The IWW is composed of a reconfigurable intelligent surface (RIS) that can perform beam steering and beamforming

and machine learning algorithms that can automatically detect the human activities with high accuracy. Two complex environments are considered: one is a corridor junction scenario with transmitter and receiver in separate corridor sections and the other is a multi-floor scenario wherein the transmitter and receiver are placed on two different floors of a building. In each of the aforementioned environments

three distinct body movements are considered namely

sitting

standing

and walking. Two subjects

one male and one female perform these activities in both environments. It is demonstrated that IWW provide a maximum detection gain of 28% in multi-floor scenario and 25% in corridor junction scenario as compared to traditional microwave sensing without RIS.

关键词

Keywords

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