Using Acoustic Signal and Image to Achieve Accurate Indoor Localization.

Rui Xi, Daibo Liu, Mengshu Hou, Yujun Li, Jun Li

Open access · goldAbstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

0.4field-weighted citation impact, top 37% 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

0 citing papers in PubMed, 6 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 country.

Rui XiSchool of Computer Science & Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. ruix.ryan@gmail.com.ORCID 0000-0002-6400-9106

Daibo LiuSchool of Computer Science & Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. dbliu.sky@gmail.com.ORCID 0000-0002-8268-2951

Mengshu HouSchool of Computer Science & Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. mshou@uestc.edu.cn.

Yujun LiSchool of Computer Science & Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. liyujun@uestc.edu.cn.

Jun LiSchool of Computer Engineering, Chengdu Technological University, Chengdu 611731, China. suiyuanlj2006@gmail.com.ORCID 0000-0002-7383-5864

University of Electronic Science and Technology of China · CNChengdu Technological University

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Location information plays a key role in pervasive computing and application, especially indoor location-based service, even though a mass of systems have been proposed, an accurate and practical indoor localization system remains unsettled. To tackle this issue, in this paper, we present a new localization scheme,

Indexed as

acoustic signalsimagesindoor localizationInternet of Thingssmartphone

Identifiers

PMID30082589

DOI10.3390/s18082566

PMCPMC6111869

OpenAlexW2887169508

What OpenQuestion holds

Textmetadata

LicenceCC BY

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.