Evidence map›Paper›PMID 36146151›Full record

ReviewSensors (Basel, Switzerland)2022

Shape Memory Alloy-Based Wearables: A Review, and Conceptual Frameworks on HCI and HRI in Industry 4.0.

Rupal Srivastava, Saeed Hamood Alsamhi, Niall Murray, Declan Devine

Abstract readReview
In one paragraph

Review 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
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  8. Article
  9. Review
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

4 authors.

Rupal SrivastavaConfirm Center for Smart Manufacturing, Science Foundation Ireland, V94 C928 Limerick, Ireland.ORCID 0000-0002-3127-4982
Saeed Hamood AlsamhiConfirm Center for Smart Manufacturing, Science Foundation Ireland, V94 C928 Limerick, Ireland.ORCID 0000-0003-2857-6979
Niall MurrayDepartment of Computer and Software Engineering, Technological University of the Shannon, Midlands Midwest, Athlone, N37 HD68 Co. Westmeath, Ireland.ORCID 0000-0002-5919-0596
Declan DevinePRISM Research Institute, Technological University of the Shannon, Midlands Midwest, Athlone, N37 HD68 Co. Westmeath, Ireland.ORCID 0000-0002-1364-5583

Funding

Marie Skłodowska-Curie Grant 847577Science Foundation Ireland SFI/16/RC/3918
6 · The paper itself

Abstract

Ever since its discovery, the applications of Shape Memory Alloys (SMA) can be found across a range of application domains, from structural design to medical technology. This is based upon the unique and inherent characteristics such as thermal Shape Memory Effect (SME) and Superelasticity (or Pseudoelasticity). While thermal SME is used for shape morphing applications wherein temperature change can govern the shape and dimension of the SMA, Superelasticity allows the alloy to withstand a comparatively very high magnitude of loads without undergoing plastic deformation at higher temperatures. These unique properties in wearables have revolutionized the field, and from fabrics to exoskeletons, SMA has found its place in robotics and cobotics. This review article focuses on the most recent research work in the field of SMA-based smart wearables paired with robotic applications for human-robot interaction. The literature is categorized based on SMA property incorporated and on actuator or sensor-based concept. Further, use-cases or conceptual frameworks for SMA fiber in fabric for '

Indexed as

RoboticsWearable Electronic DevicesAlloysHumansPlasticsShape Memory AlloysAlloysPlasticsShape Memory Alloyshand exoskeletonshuman-computer interactionhuman-robot interactionshape memory alloyssmart wearables

Identifiers

PMID36146151
PMCPMC9504003

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.