Evidence map›Paper›PMID 36810414›Full record

ArticleBiomimetics (Basel, Switzerland)2023

Soft Robotic Glove with Sensing and Force Feedback for Rehabilitation in Virtual Reality.

Fengguan Li, Jiahong Chen, Guanpeng Ye, Siwei Dong, Zishu Gao, Yitong Zhou

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. 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.

Fengguan LiShien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou 510641, China.ORCID 0000-0001-5643-3110
Jiahong ChenShien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou 510641, China.ORCID 0000-0001-7188-2467
Guanpeng YeShien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou 510641, China.ORCID 0000-0003-4148-1608
Siwei DongShien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou 510641, China.
Zishu GaoShien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou 510641, China.
Yitong ZhouShien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou 510641, China.

Funding

National Undergraduate lnnovation and Entrepreneurship Training Program 202210561167
6 · The paper itself

Abstract

Many diseases, such as stroke, arthritis, and spinal cord injury, can cause severe hand impairment. Treatment options for these patients are limited by expensive hand rehabilitation devices and dull treatment procedures. In this study, we present an inexpensive soft robotic glove for hand rehabilitation in virtual reality (VR). Fifteen inertial measurement units are placed on the glove for finger motion tracking, and a motor-tendon actuation system is mounted onto the arm and exerts forces on fingertips via finger-anchoring points, providing force feedback to fingers so that the users can feel the force of a virtual object. A static threshold correction and complementary filter are used to calculate the finger attitude angles, hence computing the postures of five fingers simultaneously. Both static and dynamic tests are performed to validate the accuracy of the finger-motion-tracking algorithm. A field-oriented-control-based angular closed-loop torque control algorithm is adopted to control the force applied to the fingers. It is found that each motor can provide a maximum force of 3.14 N within the tested current limit. Finally, we present an application of the haptic glove in a Unity-based VR interface to provide the operator with haptic feedback while squeezing a soft virtual ball.

Indexed as

data glovehand rehabilitationhaptic devicerehabilitation roboticssoft robotic glovesoft wearable robotics

Identifiers

PMID36810414
PMCPMC9944851

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.