Health&Gait: a dataset for gait-based analysis

DOI10.5281/zenodo.14039922Zenodo14039922MaRDI QIDQ6690871

Dataset published at Zenodo repository.

Author name not available (Why is that?)

Publication date: 5 November 2024

Copyright license: No records found.

Description

This repository contains theHealthGait dataset, the first that enables gait analysis using visual information without specific sensors, relying solely on cameras. The dataset includes multimodal features extracted from videos, and gait parameters and anthropometric measurements from each participant. This dataset is intended for use in health, sports and gait analysis research. HealthGait consists of 1,564 videos of 398 participants walking in a controlled closed environment, where each video has associated the following information: 2D pose estimation of their joints byAlphaPose(JSON format files). Semantic segmentation byDensePose(PNG images). Optical flow byTVL1andGMFlow(PNG images). Silhouette byYOLOV8(JPEG images). Moreover, for each subject, the following data has been recorded: Anthropometric measurements. Gait parameters obtained from OptoGait and MuscleLAB. Gait parameters estimated from pose information.

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