An IMU-based dataset of falls, activities of daily living, and prayer movements (AybuFall)

The dataset comprises motion recordings of 11 types of fall movements, 13 types of activities of daily living (ADLs), and 5 types of prayer movements. Data were collected from 17 healthy young adult participants using two wearable IMU sensors placed on the forehead and forearm. Each activity was performed three times by each participant. Tri-axial accelerometer, gyroscope, and magnetometer signals were recorded at a sampling frequency of 200 Hz. All recordings were manually labeled by direct observation during data acquisition. The dataset is publicly available and systematically organized to support algorithm development, benchmarking, and reproducible research in fall detection and human activity recognition. Although data were collected from young adults, the dataset is intended as a controlled reference resource, and applicability to other populations requires further validation.