Data · dataset · 2026
MyDeadlift Dataset: Labeled Deadlift Videos and Biomechanical Angle Data
Listed in Teesside University Research Data Repository
The MyDeadlift dataset contains 191 labeled videos of deadlift repetitions performed by seven male participants with different anthropometric characteristics and resistance-training experience.
Description
The recordings comprise three movement classes: Correct Movement (Gerakan Benar; GB; 83 videos), Rounded Back (Punggung Bungkuk; PB; 54 videos), and Knees Beyond Toes (Lutut Lebih Jari Kaki; LLK; 54 videos). Each video represents one complete repetition and was recorded from a fixed side-view position using the rear camera of an Apple iPhone 13 at 1920 × 1080-pixel resolution and 30 frames per second.
The dataset is divided using a subject-wise splitting protocol. The training subset contains 131 videos from five participants, while the testing subset contains 60 videos from two participants, with 20 testing videos for each movement class. The repository also provides a processed table containing 21,813 frame-level records.
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Each record includes the data split, movement label, source video, frame number, knee angle, hip angle, and back-to-vertical angle. These biomechanical angles were calculated from body keypoints extracted using MediaPipe Pose. The dataset can be reused for human pose estimation, video-based exercise assessment, biomechanical movement analysis, human activity recognition, and the development or benchmarking of automated deadlift-technique classification methods.
Links
Where it is published
- DOI doi.org/10.17632/w5prmmxyt9.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Artificial intelligence · Biomechanics · Computer Science & AI · Computer vision · Earth & Environmental Science · Video
- Inferred from text
- Tabular 65%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/w5prmmxyt9.1 | 15 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:420701 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Biomechanics'] |
| concepts[field].anzsrc:field:460304 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Computer Vision'] |
| concepts[field].anzsrc:group:4602 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Artificial Intelligence'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:tabular | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:video | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Video'] |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |