Evidence map›Paper›PMID 40012761›Full record

ArticleSensors and actuators. A, Physical2022

Capacitive Eye Tracker Made of Fractured Carbon Nanotube-Paper Composites for Wearable Applications.

Vigneshwar Sakthivelpathi, Zhongjie Qian, Tianyi Li, Sanggyeun Ahn, Anthony B Dichiara, Robijanto Soetedjo, Jae-Hyun Chung

Abstract read
In one paragraph

Article in Sensors and actuators. A, Physical, 2022. 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. Article
  3. Article
  4. 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

7 authors.

Vigneshwar SakthivelpathiDepartment of Mechanical Engineering, University of Washington, Box 352600, Seattle, WA 98195, USA.
Zhongjie QianDepartment of Mechanical Engineering, University of Washington, Box 352600, Seattle, WA 98195, USA.
Tianyi LiDepartment of Mechanical Engineering, University of Washington, Box 352600, Seattle, WA 98195, USA.
Sanggyeun AhnDepartment of Industrial Design, University of Washington, Seattle, WA 98195, USA.
Anthony B DichiaraDepartment of Environment and Forest Sciences, University of Washington Seattle, WA 98195, USA.
Robijanto SoetedjoDepartment of Physiology and Biophysics, University of Washington, Box 357290, Seattle, WA 98195.
Jae-Hyun ChungDepartment of Mechanical Engineering, University of Washington, Box 352600, Seattle, WA 98195, USA.

Funding

Washington National Primate Research CenterP51OD010425 · OD · UNIVERSITY OF WASHINGTON · PI Mari Ostendorf · 2012 to 2026
$201.8M
Capacitive carbon-nanotube composite eye tracking sensor for non-human primate oculomotor researchR21EY031768 · NEI · UNIVERSITY OF WASHINGTON · PI CHUNG, JAE-HYUN, SOETEDJO, ROBIJANTO · 2020 to 2021
$497k
NEI NIH HHS R21 EY031768NIH HHS P51 OD010425
6 · The paper itself

Abstract

The uniqueness of eyes, facial geometry, and gaze direction makes eye tracking a very challenging technological pursuit. Although camera-based eye-tracking systems are popular, the obtrusiveness of their bulky equipment along with their high computational cost and power consumption is considered problematic for wearable applications. Noncontact gaze monitoring using capacitive sensing technique has been attempted but failed due to low sensitivity and parasitic capacitance. Here, we study the interaction between a novel capacitive sensor and eye movement for wearable eye-tracking. The capacitive sensors are made of a pair of asymmetric electrodes; one comprising carbon nanotube-paper composite fibers (CPC) and the other being a rectangular metal electrode. The interaction between the asymmetric sensor and a spherical object mimicking an eyeball is analyzed numerically. Using a face simulator, both single- and differential capacitive measurements are characterized with respect to proximity, geometry, and human body charge. Using a prototype eye tracker, multiple sensor locations are studied to determine the optimal configurations. The capacitive responses to vertical and horizontal gaze directions are analyzed in comparison to those of a commercial eye tracking system. The performance is demonstrated for sensitive eye-movement tracking, closed-eye monitoring, and human-machine interface. This research has important implications for the development of capacitive, wearable eye trackers, which can facilitate fields of human-machine interface, cognitive monitoring, neuroscience research, and rehabilitation.

Indexed as

Capacitive sensorCarbon nanotube paper compositesEye trackingHuman-machine interfaceWearable

Identifiers

PMID40012761
PMCPMC11864793

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.