Evidence map›Paper›PMID 36559936›Full record

ArticleSensors (Basel, Switzerland)2022

Three-Dimensional Encoding Approach for Wearable Tactile Communication Devices.

Yan-Ni Lin, Yan-Cheng Li, Song Ge, Jing-Jing Xu, Lian-Lin Li, Sheng-Yong Xu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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.

Yan-Ni LinKey Laboratory for the Physics & Chemistry of Nanodevices, School of Electronics, Peking University, Beijing 100871, China.ORCID 0000-0001-7864-8358
Yan-Cheng LiSchool of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China.
Song GeKey Laboratory for the Physics & Chemistry of Nanodevices, School of Electronics, Peking University, Beijing 100871, China.
Jing-Jing XuSchool of Microelectronics, Shandong University, Jinan 250100, China.ORCID 0000-0002-0443-547X
Lian-Lin LiKey Laboratory for the Physics & Chemistry of Nanodevices, School of Electronics, Peking University, Beijing 100871, China.
Sheng-Yong XuKey Laboratory for the Physics & Chemistry of Nanodevices, School of Electronics, Peking University, Beijing 100871, China.ORCID 0000-0001-9567-5980

Funding

the National Key Research and Development Program of China 2017YFA0701302
6 · The paper itself

Abstract

In this work, we presented a novel encoding method for tactile communication. This approach was based on several tactile sensory characteristics of human skin at different body parts, such as the head and neck, where location coordinates in the three-dimensional (3D) space were clearly mapped in the brain cortex, and gentle stimulations of vibrational touching with varied strengths were received instantly and precisely. For certain applications, such as playing cards or navigating walk paths for blinded people, we demonstrated specifically designed code lists with different patterns of tactile points in varied temporal sequences. By optimizing these codes, we achieved excellent efficiency and accuracy in our test experiments. As this method matched well with the natural habits of tactile sensory, it was easy to learn in a short training period. The results of the present work have offered a silent, efficient and accurate communication solution for visually impaired people or other users.

Indexed as

Persons with Visual DisabilitiesTouch PerceptionWearable Electronic DevicesHumansSkinTouchpattern encodingsilent communicationtactile sensorytemporal sequencevisually impaired users

Identifiers

PMID36559936
PMCPMC9783497

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.