A Multimodal Dataset of Full-Body Kinematics and Kinetics from Laboratory- and Wearable-Based Systems
Year: 2025
Type: article
Abstract: Dataset Components This dataset consists of three main components: (i) Processed_Data/ Contains subject-wise processed datasets (approx. 20 GB in total). Due to file size limitations, the data are provided as separate compressed archives named SXX.zip (S01.zip, S02.zip, …, S12.zip). Extracting each archive will produce a folder named SXX, resulting in the following structure: Processed_Data/ S01/ S02/ ... S12/ Each subject dataset includes raw signals from four measurement systems—optical motion capture (OMC), inertial motion capture (IMC), instrumented treadmill force plates, and insole pressure sensors—together with biomechanical variables derived using a Visual3D model. (ii) C3D/ Contains raw optical motion capture and instrumented treadmill recordings in .c3d format. Data are organized by subject: each compressed archive includes subject-specific folders (S01, S02, …, S12). (iii) Scripts/ Includes a Visual3D model template and computation pipeline. MATLAB scripts for data analysis are also provided.
Source: Scientific Data
Authors: Lee, Chang June, Lee, Jung Keun
Institution: Hankyong National University
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,490
OpenAlex ID: W7083700336