Elderly Fall Detection and Prayer Movement Dataset: AybuFall

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Authors: TOKGÖZ, NAZİME, KOCAOĞLU, SITKI
Cited by: 0

Abstract

This is the data set for paper: Elderly Fall Detection and Prayer Movement Dataset: AybuFall planned to publish in Journal of the BMC Research Notes. We present a publicly available dataset comprising falls, activities of daily living (ADLs), and prayer movements collected by transferring data from wearable sensors to a smartphone. Before data collection, necessary information was gathered from 17 volunteers aged 23 to 43. The dataset includes 11 types of falls, 13 activities of daily living, and 5 prayer movements. Each participant was equipped with two sensors, one on the right arm and the other on the forehead, to accurately capture the necessary data.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 January 2026
Document type
Dataset