Evidence map›Paper›PMID 37115821›Full record

ArticleAssistive technology : the official journal of RESNA2024

Wearables for persons with blindness and low vision: form factor matters.

Yangha Hank Han, Mahya Beheshti, Blake Jones, Todd E Hudson, William H Seiple, John-Ross Jr Rizzo

Abstract read
In one paragraph

Article in Assistive technology : the official journal of RESNA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Re-imagining sensory substitution through gestural control: Point-To-Tell 2.Disability and rehabilitation. Assistive technology · 2026
    Article
  3. Article
  4. 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

6 authors.

Yangha Hank HanDepartment of Biomedical Engineering, New York University Tandon School of Engineering, New York, New York, USA.
Mahya BeheshtiDepartment of Physical Medicine and Rehabilitation, New York University Langone Health, New York, New York, USA.
Blake JonesDepartment of Physical Medicine and Rehabilitation, New York University Langone Health, New York, New York, USA.
Todd E HudsonDepartment of Physical Medicine and Rehabilitation, New York University Langone Health, New York, New York, USA.
William H SeipleLighthouse Guild, New York, New York, USA.
John-Ross Jr RizzoDepartment of Physical Medicine and Rehabilitation, New York University Langone Health, New York, New York, USA.

Funding

VIS4ION (Visually Impaired Smart Service System for Spatial Intelligence and Onboard Navigation) R33EY033689 · NEI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI RIZZO, JOHN ROSS, VEDANTHAN, RAJESH · 2023 to 2025
$773k
NEI NIH HHS R33 EY033689
6 · The paper itself

Abstract

Based on statistics from the WHO and the International Agency for the Prevention of Blindness, an estimated 43.3 million people have blindness and 295 million have moderate and severe vision impairment globally as of 2020, statistics expected to increase to 61 million and 474 million respectively by 2050, staggering numbers. Blindness and low vision (BLV) stultify many activities of daily living, as sight is beneficial to most functional tasks. Assistive technologies for persons with blindness and low vision (pBLV) consist of a wide range of aids that work in some way to enhance one's functioning and support independence. Although handheld and head-mounted approaches have been primary foci when building new platforms or devices to support function and mobility, this perspective reviews potential shortcomings of these form factors or embodiments and posits that a body-centered approach may overcome many of these limitations.

Indexed as

Persons with Visual DisabilitiesVision, LowWearable Electronic DevicesActivities of Daily LivingBlindnessHumansVisual Acuityassistive technologiesbody-mountedhandheld, head-mountedvisually impaired

Identifiers

PMID37115821
PMCPMC11472326

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.