Elderly Fall Detection and Prayer Movement Dataset: AybuFall
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