Data · dataset · 2026
Datasets and pre-processing pipelines accompanying the study: Predicting gait kinetics using 3-degrees of freedom acceleration data and artificial neural networks
Listed in Teesside University Research Data Repository
This study evaluates whether 3D human gait kinetics can be accurately predicted outside a laboratory setting.
Description
The core hypothesis is that wearable linear acceleration data (3 DoF), combined with artificial neural networks (LSTM and MLP), can successfully estimate clinically relevant parameters without the need for resource-intensive camera systems and force plates. The repository contains anonymized time-series datasets from 32 healthy subjects alongside the Python pre-processing pipelines.
The 'ReadMe.txt' file explains the scripts and the overall data structure.
Links
Where it is published
- DOI doi.org/10.17632/x7srp5snfk.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
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/x7srp5snfk.1 | 7 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:group:4003 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Biomedical Engineering'] |
| concepts[field].anzsrc:group:4602 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Artificial Intelligence'] |
| concepts[field].anzsrc:group:4611 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Machine Learning'] |
| 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[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| 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 |