Evidence map›Paper›PMID 29168775›Full record

ArticleSensors (Basel, Switzerland)2017

Wearable Stretch Sensors for Motion Measurement of the Wrist Joint Based on Dielectric Elastomers.

Bo Huang, Mingyu Li, Tao Mei, David McCoul, Shihao Qin, Zhanfeng Zhao, Jianwen Zhao

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Smart Shirt for Measuring Trunk Orientation.Sensors (Basel, Switzerland) · 2022
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Wearable Stretch Sensors for Human Movement Monitoring and Fall Detection in Ergonomics.International journal of environmental research and public health · 2020
    Review
  18. Article
  19. Article
  20. Delayed electromechanical instability of a viscoelastic dielectric elastomer balloon.Proceedings. Mathematical, physical, and engineering sciences · 2019
    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.

Bo HuangDepartment of Mechanical Engineering, Harbin Institute of Technology, Weihai 264209, China. huangbo74@163.com.
Mingyu LiDepartment of Mechanical Engineering, Harbin Institute of Technology, Weihai 264209, China. limingyulucy@163.com.
Tao MeiDepartment of Mechanical Engineering, Harbin Institute of Technology, Weihai 264209, China. meitao0101@163.com.
David McCoulDepartment of Materials Science and Engineering, UCLA, Los Angeles, CA 90095, USA. davidmccoul@gmail.com.
Shihao QinDepartment of Mechanical Engineering, Harbin Institute of Technology, Weihai 264209, China. HITqinshihao@163.com.
Zhanfeng ZhaoDepartment of Electrical Engineering, Harbin Institute of Technology, Weihai 264209, China. zhaozhanfeng@hitwh.edu.cn.
Jianwen ZhaoDepartment of Mechanical Engineering, Harbin Institute of Technology, Weihai 264209, China. zhaojianwen@hit.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motion capture of the human body potentially holds great significance for exoskeleton robots, human-computer interaction, sports analysis, rehabilitation research, and many other areas. Dielectric elastomer sensors (DESs) are excellent candidates for wearable human motion capture systems because of their intrinsic characteristics of softness, light weight, and compliance. In this paper, DESs were applied to measure all component motions of the wrist joints. Five sensors were mounted to different positions on the wrist, and each one is for one component motion. To find the best position to mount the sensors, the distribution of the muscles is analyzed. Even so, the component motions and the deformation of the sensors are coupled; therefore, a decoupling method was developed. By the decoupling algorithm, all component motions can be measured with a precision of 5°, which meets the requirements of general motion capture systems.

Indexed as

Wearable Electronic DevicesElastomersEquipment DesignMotionWrist JointElastomersdielectric elastomer sensorsmotion capturesoft sensorswearable sensors

Identifiers

PMID29168775
PMCPMC5751736

What OpenQuestion holds

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LicenceCC BY
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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.