Evidence map›Paper›PMID 35808282›Full record

ArticleSensors (Basel, Switzerland)2022

Human Movement Quality Assessment Using Sensor Technologies in Recreational and Professional Sports: A Scoping Review.

Verena Venek, Stefan Kranzinger, Hermann Schwameder, Thomas Stöggl

Abstract readScoping Review
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 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

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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.

Verena VenekHuman Motion Analytics, Salzburg Research Forschungsgesellschaft mbH, 5020 Salzburg, Austria.ORCID 0000-0001-6346-7650
Stefan KranzingerHuman Motion Analytics, Salzburg Research Forschungsgesellschaft mbH, 5020 Salzburg, Austria.ORCID 0000-0002-4014-7846
Hermann SchwamederDepartment of Sport and Exercise Science, University of Salzburg, 5400 Hallein-Rif, Austria.ORCID 0000-0002-0380-8801
Thomas StögglDepartment of Sport and Exercise Science, University of Salzburg, 5400 Hallein-Rif, Austria.ORCID 0000-0002-6685-1540

Funding

Austrian Federal Ministry for Climate Action, Environment, Energy, Mobility, Innovation and Technology 4711
6 · The paper itself

Abstract

The use of sensor technology in sports facilitates the data-driven evaluation of human movement not only in terms of quantity but also in terms of quality. This scoping review presents an overview of sensor technologies and human movement quality assessments in ecologically-similar environments. We searched four online databases to identify 16 eligible articles with either recreational and/or professional athletes. A total of 50% of the studies used inertial sensor technology, 31% vision-based sensor technology. Most of the studies (69%) assessed human movement quality using either the comparison to an expert's performance, to an exercise definition or to the athletes' individual baseline performance. A total of 31% of the studies used expert-based labeling of the movements to label data. None of the included studies used a control group-based study design to investigate impact on training progress, injury prevention or behavior change. Although studies have used sensor technology for movement quality assessment, the transfer from the lab to the field in recreational and professional sports is still emerging. Hence, research would benefit from impact studies of technology-assisted training interventions including control groups as well as investigating features of human movement quality in addition to kinematic parameters.

Indexed as

Athletic PerformanceSports MedicineAthletesHumansMovementTechnologyinertial measurement unitmovement patternobjective assessmentvision-based

Identifiers

PMID35808282
PMCPMC9269395

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.