Pre-impact Fall Detection using Wearable Sensor Unit

Soonjae Ahn, Isu Shin, Bora Jeong, Youngho Kim

2014

Abstract

In this study, we verified our pre-impact fall detection algorithm through a clinical trials using wearable sensor (accelerometer and gyro sensor) at waist. Forty male volunteers participated in the clinical trial (three types of falls and seven types of ADLs). Results show that falls could be detected with an average lead-time of 530ms before the impact occurs, with no false alarms (100% specificity) and no incorrect detects (100% sensitivity). Our algorithm for pre-impact fall detection with a wearable sensor unit could be very helpful to minimize fall risk.

Paper Citation

in Harvard Style

Ahn S., Shin I., Jeong B. and Kim Y. (2014). Pre-impact Fall Detection using Wearable Sensor Unit . In Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2014) ISBN 978-989-758-013-0, pages 207-211. DOI: 10.5220/0004902602070211

in Bibtex Style

@conference{biodevices14,
author={Soonjae Ahn and Isu Shin and Bora Jeong and Youngho Kim},
title={Pre-impact Fall Detection using Wearable Sensor Unit},
booktitle={Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2014)},
year={2014},
pages={207-211},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004902602070211},
isbn={978-989-758-013-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2014)
TI - Pre-impact Fall Detection using Wearable Sensor Unit
SN - 978-989-758-013-0
AU - Ahn S.
AU - Shin I.
AU - Jeong B.
AU - Kim Y.
PY - 2014
SP - 207
EP - 211
DO - 10.5220/0004902602070211