Evidence map›Paper›PMID 39598974›Full record

ReviewSensors (Basel, Switzerland)2024

Commodity Wi-Fi-Based Wireless Sensing Advancements over the Past Five Years.

Hai Zhu, Enlai Dong, Mengmeng Xu, Hongxiang Lv, Fei Wu

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Hai ZhuSchool of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.ORCID 0009-0004-9318-6090
Enlai DongSchool of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.
Mengmeng XuSchool of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.
Hongxiang LvSchool of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.
Fei WuSchool of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.ORCID 0000-0003-4452-1687

Funding

National Natural Science Foundation of China 61902237Science and Technology Commission of Shanghai Municipality 22DZ1100803
6 · The paper itself

Abstract

With the compelling popularity of integrated sensing and communication (ISAC), Wi-Fi sensing has drawn increasing attention in recent years. Starting from 2010, Wi-Fi channel state information (CSI)-based wireless sensing has enabled various exciting applications such as indoor localization, target imaging, activity recognition, and vital sign monitoring. In this paper, we retrospect the latest achievements of Wi-Fi sensing using commodity-off-the-shelf (COTS) devices from the past 5 years in detail. Specifically, this paper first presents the background of the CSI signal and related sensing models. Then, recent studies are categorized from two perspectives, i.e., according to their application scenario diversity and the corresponding sensing methodology difference, respectively. Next, this paper points out the challenges faced by Wi-Fi sensing, including domain dependency and sensing range limitation. Finally, three imperative research directions are highlighted, which are critical for realizing more ubiquitous and practical Wi-Fi sensing in real-life applications.

Indexed as

commodity-off-the-shelfCSIintegrated sensing and communicationWi-Fi sensing

Identifiers

PMID39598974
PMCPMC11597943

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.