Evidence map›Paper›PMID 38894363›Full record

ReviewSensors (Basel, Switzerland)2024

Assistive Systems for Visually Impaired Persons: Challenges and Opportunities for Navigation Assistance.

Gabriel Iluebe Okolo, Turke Althobaiti, Naeem Ramzan

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
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  4. Review
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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.

Gabriel Iluebe OkoloSchool of Computing, Engineering and Physical Sciences, University of the West of Scotland, Paisley PA1 2BE, UK.ORCID 0000-0002-1624-6668
Turke AlthobaitiDepartment of Computer Science, Northern Border University, Arar 91431, Saudi Arabia.ORCID 0000-0002-6674-7890
Naeem RamzanSchool of Computing, Engineering and Physical Sciences, University of the West of Scotland, Paisley PA1 2BE, UK.ORCID 0000-0002-5088-1462

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The inability to see makes moving around very difficult for visually impaired persons. Due to their limited movement, they also struggle to protect themselves against moving and non-moving objects. Given the substantial rise in the population of those with vision impairments in recent years, there has been an increasing amount of research devoted to the development of assistive technologies. This review paper highlights the state-of-the-art assistive technology, tools, and systems for improving the daily lives of visually impaired people. Multi-modal mobility assistance solutions are also evaluated for both indoor and outdoor environments. Lastly, an analysis of several approaches is also provided, along with recommendations for the future.

Indexed as

Persons with Visual DisabilitiesSelf-Help DevicesHumansartificial intelligenceInternet of Things (IoT)visually impaired person

Identifiers

PMID38894363
PMCPMC11175312

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.