Evidence map›Paper›PMID 33746627›Full record

ArticleIEEE sensors journal2021

Inertial Measurements for Tongue Motion Tracking Based on Magnetic Localization with Orientation Compensation.

Nordine Sebkhi, Arpan Bhavsar, David V Anderson, Jun Wang, Omer T Inan

Abstract read
In one paragraph

Article in IEEE sensors journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. MagTrack: A Wearable Tongue Motion Tracking System for Silent Speech Interfaces.Journal of speech, language, and hearing research : JSLHR · 2023
    Article
  5. Article
  6. 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

5 authors.

Nordine SebkhiSchool of Electrical & Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Arpan BhavsarSchool of Electrical & Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
David V AndersonSchool of Electrical & Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Jun WangDepartment of Speech, Language, and Hearing Sciences, University of Texas at Austin, TX, USA.
Omer T InanSchool of Electrical & Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA.

Funding

Wearable silent speech technology to enhance impaired oral communicationR01DC016621 · NIDCD · UNIVERSITY OF TEXAS AT AUSTIN · PI WANG, JUN · 2019 to 2023
$3.2M
NIDCD NIH HHS R01 DC016621
6 · The paper itself

Abstract

Permanent magnet localization (PML) is designed for applications requiring non-line-of-sight motion tracking with millimetric accuracy. Current PML-based tongue tracking is not only impractical for daily use due to many sensors being placed around the mouth, but also requires a large training set of tracer motion. Our method was designed to overcome these shortcomings by generating a local magnetic field and removing the need for the localization to be trained with tracer rotations. An inertial measurement unit (IMU) is used as a tracer that moves in a local magnetic field generated by a magnet strip. The magnetic strength can be optimized to enable the strip to be placed further away from the tracer, thus hidden from view. The tracer is small (6×6×0.8 mm

Indexed as

inertial measurement unitmagnetmagnetic localizationmotion trackingneural networkorientation estimationpermanent magnet localizationtongue tracking

Identifiers

PMID33746627
PMCPMC7978385

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.