Evidence map›Paper›PMID 35684800›Full record

ArticleSensors (Basel, Switzerland)2022

Dynamical Synergies of Multidigit Hand Prehension.

Dingyi Pei, Parthan Olikkal, Tülay Adali, Ramana Vinjamuri

Abstract read
In one paragraph

Article 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Biomimetic learning of hand gestures in a humanoid robot.Frontiers in human neuroscience · 2024
    Article
  4. Article
  5. 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

4 authors.

Dingyi PeiDepartment of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD 21250, USA.ORCID 0000-0001-7756-3678
Parthan OlikkalDepartment of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD 21250, USA.ORCID 0000-0002-5513-1150
Tülay AdaliDepartment of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD 21250, USA.ORCID 0000-0003-0594-2796
Ramana VinjamuriDepartment of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD 21250, USA.ORCID 0000-0003-1650-5524

Funding

National Science Foundation 2053498
6 · The paper itself

Abstract

Hand prehension requires highly coordinated control of contact forces. The high-dimensional sensorimotor system of the human hand operates at ease, but poses several challenges when replicated in artificial hands. This paper investigates how the dynamical synergies, coordinated spatiotemporal patterns of contact forces, contribute to the hand grasp, and whether they could potentially capture the force primitives in a low-dimensional space. Ten right-handed subjects were recruited to grasp and hold mass-varied objects. The contact forces during this multidigit prehension were recorded using an instrumented grip glove. The dynamical synergies were derived using principal component analysis (PCA). The contact force patterns during the grasps were reconstructed using the first few synergies. The significance of the dynamical synergies, the influence of load forces and task configurations on the synergies were explained. This study also discussed the contribution of biomechanical constraints on the first few synergies and the current challenges and possible applications of the dynamical synergies in the design and control of exoskeletons. The integration of the dynamical synergies into exoskeletons will be realized in the near future.

Indexed as

HandHand StrengthBiomechanical PhenomenaFingersHumansMovementPrincipal Component Analysisdynamical synergieshand prehensionkinematic synergiesmovement primitivesprincipal component analysissingular value decomposition

Identifiers

PMID35684800
PMCPMC9185513

What OpenQuestion holds

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Registered trials

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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.