Data · dataset · 2023
Related Data for: Field-based biomechanical assessment of the snatch in Olympic weightlifting using wearable in-shoe sensors and videos: A preliminary report
Listed in NIE Data Repository
Traditionally, the biomechanical analysis of Olympic weightlifting movements required laboratory equipment such as force platforms and transducers, but such methods are difficult to implement in practice.
Description
This study developed a field-based method using wearable technology and videos for the biomechanical assessment of weightlifters. To demonstrate the practicality of our method, we collected kinetic and kinematic data on six Singapore National Olympic Weightlifters.
The participants performed snatches at 80% to 90% of their competition one-repetition maximum, and the three best attempts were used for the analysis. They wore a pair of in-shoe force sensors loadsol® (novel, Munich, Germany) to measure the vertical ground reaction forces under each foot. Concurrently, a video camera recorded the barbell movement from the side.
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The kinematics (e.g., trajectories and velocities) of the barbell were extracted using a free video analysis software (Kinovea). The power–time history was calculated from the force and velocity data. The results showed differences in power, force, and barbell velocity with moderate to almost perfect reliability.
Technical inconsistency in the barbell trajectories were also identified. In conclusion, this study presented a simple and practical approach to evaluating weightlifters using in-shoe wearable sensors and videos. Such information can be useful for monitoring progress, identifying errors, and guiding training plans for weightlifters.
Links
Where it is published
- Dataverse dataset page researchdata.nie.edu.sg/dataset.xhtml?persistentId=doi%3A10.25340%2FR4%2FCVVUOX ↗
landing page · from researchdata nie edu sg
- DOI doi.org/10.25340/r4/cvvuox ↗
DOI / persistent id · from researchdata nie edu sg
Catalogue records · 1
- Dataverse API researchdata.nie.edu.sg/api/datasets/:persistentId/?persistentId=doi%3A10.25340%2FR4%2… ↗
metadata API · from researchdata nie edu sg
Topics
- Stated by source
- Medicine, Health and Life Sciences
- From keywords
- Life Sciences · Medicine & Health
- Inferred from text
- Video 75%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NIE Data Repository | doi:10.25340/R4/CVVUOX | 16 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:medicine-health-and-life-sciences | source · researchdata nie edu sg | connector:researchdata_nie_edu_sg@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · researchdata nie edu sg | connector:researchdata_nie_edu_sg@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · researchdata nie edu sg | connector:researchdata_nie_edu_sg@1.0.0 | /subjects |
| concepts[modality].local:modality:video | enrichment · researchdata nie edu sg | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · researchdata nie edu sg | connector:researchdata_nie_edu_sg@1.0.0 | |
| description | source · researchdata nie edu sg | connector:researchdata_nie_edu_sg@1.0.0 | /description |
| publication_date | source · researchdata nie edu sg | connector:researchdata_nie_edu_sg@1.0.0 | |
| title | source · researchdata nie edu sg | connector:researchdata_nie_edu_sg@1.0.0 | /name |
| updated_date | source · researchdata nie edu sg | connector:researchdata_nie_edu_sg@1.0.0 | |
| version_label | source · researchdata nie edu sg | connector:researchdata_nie_edu_sg@1.0.0 |