Evidence map›Paper›PMID 36298237›Full record

ReviewSensors (Basel, Switzerland)2022

Review of Navigation Assistive Tools and Technologies for the Visually Impaired.

Mohamed Dhiaeddine Messaoudi, Bob-Antoine J Menelas, Hamid Mcheick

Open access · goldAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
9.9field-weighted citation impact, top 1% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 88 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Mohamed Dhiaeddine MessaoudiDepartment of Computer Sciences and Mathematics, University of Quebec at Chicoutimi, 555 Blv Universite, Chicoutimi, QC G7H 2B1, Canada.ORCID 0000-0001-5282-4632
Bob-Antoine J MenelasDepartment of Computer Sciences and Mathematics, University of Quebec at Chicoutimi, 555 Blv Universite, Chicoutimi, QC G7H 2B1, Canada.ORCID 0000-0001-9027-4352
Hamid McheickDepartment of Computer Sciences and Mathematics, University of Quebec at Chicoutimi, 555 Blv Universite, Chicoutimi, QC G7H 2B1, Canada.ORCID 0000-0002-2589-8609
Université du Québec à Chicoutimi · CA

Funding

NSERC RGPIN-2019-07169
6 · The paper itself

Abstract

The visually impaired suffer greatly while moving from one place to another. They face challenges in going outdoors and in protecting themselves from moving and stationary objects, and they also lack confidence due to restricted mobility. Due to the recent rapid rise in the number of visually impaired persons, the development of assistive devices has emerged as a significant research field. This review study introduces several techniques to help the visually impaired with their mobility and presents the state-of-the-art of recent assistive technologies that facilitate their everyday life. It also analyses comprehensive multiple mobility assistive technologies for indoor and outdoor environments and describes the different location and feedback methods for the visually impaired using assistive tools based on recent technologies. The navigation tools used for the visually impaired are discussed in detail in subsequent sections. Finally, a detailed analysis of various methods is also carried out, with future recommendations.

Indexed as

Persons with Visual DisabilitiesSelf-Help DevicesHumansTechnologyblind peopledeep learningnavigation methodspeech and voice recognitionvisually impaired

Identifiers

PMID36298237
PMCPMC9606951
OpenAlexW4306761536

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.