Evidence map›Paper›PMID 33854875›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2021

Tactile Avatar: Tactile Sensing System Mimicking Human Tactile Cognition.

Kyungsoo Kim, Minkyung Sim, Sung-Ho Lim, Dongsu Kim, Doyoung Lee, Kwonsik Shin, Cheil Moon, Ji-Woong Choi, Jae Eun Jang

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  16. Tactile Avatar: Tactile Sensing System Mimicking Human Tactile Cognition.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    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

9 authors.

Kyungsoo KimDepartment of Information and Communication Engineering Daegu Gyeongbuk Institute of Science & Technology (DGIST) Daegu 711-873 Korea.
Minkyung SimDepartment of Information and Communication Engineering Daegu Gyeongbuk Institute of Science & Technology (DGIST) Daegu 711-873 Korea.ORCID 0000-0002-4633-3439
Sung-Ho LimDepartment of Information and Communication Engineering Daegu Gyeongbuk Institute of Science & Technology (DGIST) Daegu 711-873 Korea.
Dongsu KimDepartment of Information and Communication Engineering Daegu Gyeongbuk Institute of Science & Technology (DGIST) Daegu 711-873 Korea.
Doyoung LeeDepartment of Information and Communication Engineering Daegu Gyeongbuk Institute of Science & Technology (DGIST) Daegu 711-873 Korea.
Kwonsik ShinDepartment of Information and Communication Engineering Daegu Gyeongbuk Institute of Science & Technology (DGIST) Daegu 711-873 Korea.ORCID 0000-0003-4770-4403
Cheil MoonDepartment of Brain and Cognitive Sciences Daegu Gyeongbuk Institute of Science & Technology (DGIST) Daegu 711-873 Korea.
Ji-Woong ChoiDepartment of Information and Communication Engineering Daegu Gyeongbuk Institute of Science & Technology (DGIST) Daegu 711-873 Korea.
Jae Eun JangDepartment of Information and Communication Engineering Daegu Gyeongbuk Institute of Science & Technology (DGIST) Daegu 711-873 Korea.ORCID 0000-0002-8523-1785

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a surrogate for human tactile cognition, an artificial tactile perception and cognition system are proposed to produce smooth/soft and rough tactile sensations by its user's tactile feeling; and named this system as "tactile avatar". A piezoelectric tactile sensor is developed to record dynamically various physical information such as pressure, temperature, hardness, sliding velocity, and surface topography. For artificial tactile cognition, the tactile feeling of humans to various tactile materials ranging from smooth/soft to rough are assessed and found variation among participants. Because tactile responses vary among humans, a deep learning structure is designed to allow personalization through training based on individualized histograms of human tactile cognition and recording physical tactile information. The decision error in each avatar system is less than 2% when 42 materials are used to measure the tactile data with 100 trials for each material under 1.2N of contact force with 4cm s

Indexed as

CognitionDeep LearningTouchUser-Computer InterfaceAdultBiomimeticsFemaleHumansMaleYoung Adultmachine learningpiezoelectric effectP(VDF‐TrFE)tactile avatars

Identifiers

PMID33854875
PMCPMC8024994

What OpenQuestion holds

Textmetadata
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.