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Title: | Feasibility analysis of using Channel State Information (CSI) acquired from Wi-Fi routers for construction worker fall detection | Authors: | Guo, R Li, H Han, D Liu, R |
Issue Date: | Mar-2023 | Source: | International journal of environmental research and public health, Mar. 2023, v. 20, no. 6, 4998 | Abstract: | Accidental falls represent a major cause of fatal injuries for construction workers. Failure to seek medical attention after a fall can significantly increase the risk of death for construction workers. Wearable sensors, computer vision, and manual techniques are common modalities for detecting worker falls in the literature. However, they are severely constrained by issues such as cost, lighting, background, clutter, and privacy. To address the problems associated with the existing proposed methods, a new method has been conceived to identify construction worker falls by analyzing the CSI signals extracted from commercial Wi-Fi routers. In this research context, our study aimed to investigate the potential of using Channel State Information (CSI) to identify falls among construction workers. To achieve the aim of this study, CSI data corresponding to 360 sets of activities were collected from six construction workers on real construction sites. The results indicate that (1) the behavior of construction workers is highly correlated with the magnitude of CSI, even in real construction sites, and (2) the CSI-based method for identifying construction worker falls has an accuracy of 99% and can also accurately distinguish between falls and fall-like actions. The present study makes a significant contribution to the field by demonstrating the feasibility of utilizing low-cost Wi-Fi routers for the continuous monitoring of fall incidents among construction workers. To the best of our knowledge, this is the first investigation to address the issue of fall detection using commercial Wi-Fi devices in real-world construction environments. Considering the dynamic nature of construction sites, the new method developed in this study helps to detect falls at construction sites automatically and helps injured construction workers to seek medical attention on time. | Keywords: | Channel state information Commercial Wi-Fi router Construction safety Construction worker Fall detection |
Publisher: | MDPI AG | Journal: | International journal of environmental research and public health | ISSN: | 1661-7827 | EISSN: | 1660-4601 | DOI: | 10.3390/ijerph20064998 | Rights: | Copyright: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). The following publication Guo R, Li H, Han D, Liu R. Feasibility Analysis of Using Channel State Information (CSI) Acquired from Wi-Fi Routers for Construction Worker Fall Detection. International Journal of Environmental Research and Public Health. 2023; 20(6):4998 is available at https://doi.org/10.3390/ijerph20064998. |
Appears in Collections: | Journal/Magazine Article |
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