Evidence map›Paper›PMID 32235532›Full record

ArticleSensors (Basel, Switzerland)2020

Wearable Hand Module and Real-Time Tracking Algorithms for Measuring Finger Joint Angles of Different Hand Sizes with High Accuracy using FBG Strain Sensor.

Jun Sik Kim, Byung Kook Kim, Minsu Jang, Kyumin Kang, Dae Eun Kim, Byeong-Kwon Ju, Jinseok Kim

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. 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.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Fiber Bragg Grating-Based Sensors and Systems.Sensors (Basel, Switzerland) · 2021
    Article
  14. Article
  15. Review
  16. An FPGA Platform for Next-Generation Grating Encoders.Sensors (Basel, Switzerland) · 2020
    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

7 authors.

Jun Sik KimCenter for Bionics, Korea Institute of Science and Technology, Seoul 02792, Korea.
Byung Kook KimCenter for Bionics, Korea Institute of Science and Technology, Seoul 02792, Korea.
Minsu JangCenter for Bionics, Korea Institute of Science and Technology, Seoul 02792, Korea.
Kyumin KangCenter for Bionics, Korea Institute of Science and Technology, Seoul 02792, Korea.
Dae Eun KimSchool of Mechanical Engineering, Yonsei University, Seoul 03722, Korea.
Byeong-Kwon JuDisplay and Nanosystem Laboratory, School of Electrical Engineering, Korea University, Seoul 02841, Korea.
Jinseok KimCenter for Bionics, Korea Institute of Science and Technology, Seoul 02792, Korea.

Funding

Korea Institute of Science and Technology Intramural Grant 2E30090National Research Foundation of Korea 2017M3C1B2085292
6 · The paper itself

Abstract

This paper presents a wearable hand module which was made of five fiber Bragg grating (FBG) strain sensor and algorithms to achieve high accuracy even when worn on different hand sizes of users. For real-time calculation with high accuracy, FBG strain sensors move continuously according to the size of the hand and the bending of the joint. Representatively, four algorithms were proposed; point strain (PTS), area summation (AREA), proportional summation (PS), and PS/interference (PS/I or PS/I_α). For more accurate and efficient assessments, 3D printed hand replica with different finger sizes was adopted and quantitative evaluations were performed for index~little fingers (77 to 117 mm) and thumb (68~78 mm). For index~little fingers, the optimized algorithms were PS and PS/I_α. For thumb, the optimized algorithms were PS/I_α and AREA. The average error angle of the wearable hand module was observed to be 0.47 ± 2.51° and mean absolute error (MAE) was achieved at 1.63 ± 1.97°. These results showed that more accurate hand modules than other glove modules applied to different hand sizes can be manufactured using FBG strain sensors which move continuously and algorithms for tracking this movable FBG sensors.

Indexed as

Biosensing TechniquesWearable Electronic DevicesAlgorithmsFingersHandHumansPrinting, Three-Dimensionalalgorithmfiber Bragg grating strain sensorhand motion capturereal-time tracking

Identifiers

PMID32235532
PMCPMC7181016

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.