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."