@inproceedings{e7c50e6c5cb748d3a60fa902845a61a5,
title = "A Novel Attitude Feature Extraction Method for Multi-IMU Based Fall Detection System",
abstract = "Falling has become the leading cause of non-fatal and preventable injuries. The majority of existing fall detection systems (FDSs) rely on motion sensors. However, most of the applied feature extraction methods result in longer processing time and higher computation. This study proposes a novel attitude feature extraction (AFE) method that extract five feature sets from 54 raw measurements obtained from nine inertial measurement units (IMUs) placed on the firefighter's protective clothing. Our results indicate that the metrics of attitude feature extraction (AFEM) method outperforms the existing metrics of raw feature extraction (RFEM) method in the fall detection. In addition, the proposed method reduces the algorithm processing time and computations significantly. This enables on-device fall detection classification on constrained processing architectures.",
keywords = "Fall Detection System (FDS), Feature Extraction, Inertial Measurement Unit (IMU), Machine-Learning",
author = "Xiaoqing Chai and Lee, \{Boon Giin\} and Matthew Pike and Renjie Wu and Xian Wu",
note = "Funding Information: ACKNOWLEDGEMENT This research was supported by the Zhejiang Provincial Natural Science Foundation of China under Grant No. LQ21F020024; This work is supported by Ningbo Science and Technology Bureau under Major ST Program with project code 2021Z037; This work is supported by Ningbo Science and Technology Bureau under Commonweal Program with project code 2021S140. Publisher Copyright: {\textcopyright} 2023 IEEE.; 3rd IEEE International Conference on Power, Electronics and Computer Applications, ICPECA 2023 ; Conference date: 29-01-2023 Through 31-01-2023",
year = "2023",
doi = "10.1109/ICPECA56706.2023.10075997",
language = "English",
series = "2023 IEEE 3rd International Conference on Power, Electronics and Computer Applications, ICPECA 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "99--103",
booktitle = "2023 IEEE 3rd International Conference on Power, Electronics and Computer Applications, ICPECA 2023",
address = "United States",
}