Datasets:
Languages:
English
Size:
1K<n<10K
Tags:
fall-detection
pose-estimation
posture-classification
elderly-care
mediapipe
human-activity-recognition
License:
File size: 1,000 Bytes
7709ce0 f99b6d7 7709ce0 5c07533 7709ce0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | cff-version: 1.2.0
message: "If you use this dataset, please cite it as below."
type: dataset
title: "AI-Driven Posture Analysis Fall Detection System for the Elderly: Dataset"
authors:
- family-names: "Ogbuitepu"
given-names: "Patrick O."
affiliation: "University of Essex"
# orcid: "https://orcid.org/<ADD IF YOU HAVE ONE>"
date-released: "2026-07-14"
version: "1.0.1"
license: "CC-BY-4.0"
doi: "10.5281/zenodo.21359208"
repository: "https://doi.org/10.5281/zenodo.21359208"
keywords:
- fall detection
- pose estimation
- elderly care
- human activity recognition
- computer vision
- MediaPipe
abstract: >
Self-recorded video and static-image dataset of daily activities and fall
scenarios, with frame/time-level annotations, used to develop and evaluate
a MediaPipe-based posture analysis and fall detection system for elderly
care, as described in the dissertation "AI-Driven Posture Analysis Fall
Detection System for the Elderly."
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