Measuring Fall Risk Using the Internet-of-Things Chair

Alexander W. Lee, Melissa S. Lee, Chelsea Yeh, Kyle Yeh

2025

Abstract

Falls are one of the leading causes of injuries and deaths for U.S. adults ages 65 and older. People can fall because of imbalance and leg weakness. Fall risks are evaluated by standardized tests, including the 30-Second Chair Stand Test (30CST) and 5x Sit-to-Stand Test (5xSST). These tests are conducted by visual observation of the participant and manual counting, which can be inaccurate and tedious. This study clinically tested an Internet of Things Chair (IoT) on how well it performed on the 30CST and 5xSST. A clinical study was performed on 224 participants. The results of the IoT Chair were found to be similar to the traditional, visually observed method. The IoT Chair required less manual work and provided information that was not obtainable with the observer method. The IoT Chair was able to calculate the weight exerted on the individual chair legs, rate of weight change, lag time between each sit-stand cycle, the amount of time spent standing during each cycle, and the amount of time each sit-stand cycle required. This additional information can allow for a better understanding of a person's leg strength and improves the prediction for falls, which can save lives and lower healthcare costs.

Paper Citation

in Harvard Style

Lee A., Lee M., Yeh C. and Yeh K. (2025). Measuring Fall Risk Using the Internet-of-Things Chair. In Proceedings of the 10th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS; ISBN 978-989-758-750-4, SciTePress, pages 353-360. DOI: 10.5220/0013404500003944

in Bibtex Style

@conference{iotbds25,
author={Alexander Lee and Melissa Lee and Chelsea Yeh and Kyle Yeh},
title={Measuring Fall Risk Using the Internet-of-Things Chair},
booktitle={Proceedings of the 10th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS},
year={2025},
pages={353-360},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013404500003944},
isbn={978-989-758-750-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS
TI - Measuring Fall Risk Using the Internet-of-Things Chair
SN - 978-989-758-750-4
AU - Lee A.
AU - Lee M.
AU - Yeh C.
AU - Yeh K.
PY - 2025
SP - 353
EP - 360
DO - 10.5220/0013404500003944
PB - SciTePress