Citation

Nandi P, Anupama KR, Agarwal H, Patel K, Bang V, Bharat M, Guru MV. Data Brief 2024; 52: e109812.

Copyright

(Copyright © 2024, Elsevier Publishing)

DOI

10.1016/j.dib.2023.109812

PMID

38076473

PMCID

PMC10709028

Abstract

This paper describes a dataset acquired from 41 volunteers performing 16 Activities of daily livings (ADLs) and 8 Falls repeated 5 times. This data was collected using a custom wrist-worn end device. The dataset has data collected from Inertial measurement unit (IMU) and heart-rate sensors. The end device is built using Qualcomm Snapdragon 820c System on Chip (SoC) interfaced to the sensors via Interconnect Integrated Circuit (I2C) protocol. The data was sampled for every activity at a rate of 20 Hz for the motion sensors and at a rate of 1 Hz for the heart-rate sensor. The motion sensor comprised of a triaxial accelerometer, triaxial gyroscope, triaxial magnetometer and a linear accelerometer. The heart-rate sensor was medical grade and all sensors were calibrated for the wrist -worn position. The dataset is available on this website https://shamanx86.github.io/fall_detection_data/ and https://doi.org/10.5281/zenodo.10013090.

Language: en

Keywords

Dataset; Fall detection; Geriatric; System on Chip; Wearable