Evidence map›Paper›PMID 37016602›Full record

ArticleJournal of computer science and technology2023

Ubiquitous WiFi and Acoustic Sensing: Principles, Technologies, and Applications.

Jia-Ling Huang, Yun-Shu Wang, Yong-Pan Zou, Kai-Shun Wu, Lionel Ming-Shuan Ni

Open access · bronzeAbstract read
In one paragraph

Article in Journal of computer science and technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

3 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. End-to-End Ultrasonic Hand Gesture Recognition.Sensors (Basel, Switzerland) · 2024
    Article
  3. 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 at 2 institutions in 2 countries.

Jia-Ling HuangThe IoT Research Center, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 518060 China.
Yun-Shu WangThe IoT Research Center, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 518060 China.
Yong-Pan ZouThe IoT Research Center, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 518060 China.
Kai-Shun WuThe IoT Research Center, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 518060 China.
Lionel Ming-Shuan NiThe Hong Kong University of Science and Technology (Guangzhou), Guangzhou, 511455 China.
Shenzhen University · CNHong Kong University of Science and Technology · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the increasing pervasiveness of mobile devices such as smartphones, smart TVs, and wearables, smart sensing, transforming the physical world into digital information based on various sensing medias, has drawn researchers' great attention. Among different sensing medias, WiFi and acoustic signals stand out due to their ubiquity and zero hardware cost. Based on different basic principles, researchers have proposed different technologies for sensing applications with WiFi and acoustic signals covering human activity recognition, motion tracking, indoor localization, health monitoring, and the like. To enable readers to get a comprehensive understanding of ubiquitous wireless sensing, we conduct a survey of existing work to introduce their underlying principles, proposed technologies, and practical applications. Besides we also discuss some open issues of this research area. Our survey reals that as a promising research direction, WiFi and acoustic sensing technologies can bring about fancy applications, but still have limitations in hardware restriction, robustness, and applicability. Supplementary Information: The online version contains supplementary material available at 10.1007/s11390-023-3073-5.

Indexed as

acoustic sensinghuman activity recognitionhuman-computer interactionWiFi sensing

Identifiers

PMID37016602
PMCPMC10064623
OpenAlexW4362566341

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.