Evidence map›Paper›PMID 39061820›Full record

ReviewBioengineering (Basel, Switzerland)2024

Wearable Near-Eye Tracking Technologies for Health: A Review.

Lisen Zhu, Jianan Chen, Huixin Yang, Xinkai Zhou, Qihang Gao, Rui Loureiro, Shuo Gao, Hubin Zhao

Abstract readReview
In one paragraph

Review in Bioengineering (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
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

8 authors.

Lisen ZhuHUB of Intelligent Neuro-Engineering, Aspire CREATe, IOMS, Division of Surgery and Interventional Science, University College London, London HA7 4LP, UK.
Jianan ChenHUB of Intelligent Neuro-Engineering, Aspire CREATe, IOMS, Division of Surgery and Interventional Science, University College London, London HA7 4LP, UK.
Huixin YangHUB of Intelligent Neuro-Engineering, Aspire CREATe, IOMS, Division of Surgery and Interventional Science, University College London, London HA7 4LP, UK.
Xinkai ZhouHUB of Intelligent Neuro-Engineering, Aspire CREATe, IOMS, Division of Surgery and Interventional Science, University College London, London HA7 4LP, UK.
Qihang GaoSchool of Instrumentation and Optoelectronics Engineering, Beihang University, Beijing 100191, China.
Rui LoureiroHUB of Intelligent Neuro-Engineering, Aspire CREATe, IOMS, Division of Surgery and Interventional Science, University College London, London HA7 4LP, UK.
Shuo GaoSchool of Instrumentation and Optoelectronics Engineering, Beihang University, Beijing 100191, China.
Hubin ZhaoHUB of Intelligent Neuro-Engineering, Aspire CREATe, IOMS, Division of Surgery and Interventional Science, University College London, London HA7 4LP, UK.ORCID 0000-0001-9408-4724

Funding

Beihang University KG12090401, 461 ZG216S19C8Engineering and Physical Sciences Research Council Grant 13171178 R00287European Innovation Council (EIC) under the European Union's Horizon Europe research and innovation program 101099093National Natural Science Foundation of China 61803017, 61827802The Royal Society Research Grant RGS\R2\222333Wellcome TrustWellcome Trust and EPSRC through the WEISS Centre 203145Z/16/Z
6 · The paper itself

Abstract

With the rapid advancement of computer vision, machine learning, and consumer electronics, eye tracking has emerged as a topic of increasing interest in recent years. It plays a key role across diverse domains including human-computer interaction, virtual reality, and clinical and healthcare applications. Near-eye tracking (NET) has recently been developed to possess encouraging features such as wearability, affordability, and interactivity. These features have drawn considerable attention in the health domain, as NET provides accessible solutions for long-term and continuous health monitoring and a comfortable and interactive user interface. Herein, this work offers an inaugural concise review of NET for health, encompassing approximately 70 related articles published over the past two decades and supplemented by an in-depth examination of 30 literatures from the preceding five years. This paper provides a concise analysis of health-related NET technologies from aspects of technical specifications, data processing workflows, and the practical advantages and limitations. In addition, the specific applications of NET are introduced and compared, revealing that NET is fairly influencing our lives and providing significant convenience in daily routines. Lastly, we summarize the current outcomes of NET and highlight the limitations.

Indexed as

electrooculographyinfrared oculographynear eye trackingvideo oculography

Identifiers

PMID39061820
PMCPMC11273595

What OpenQuestion holds

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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.