Deep Learning-based Fall Detection Algorithm Using Ensemble Model of Coarse-fine CNN and GRU Networks

Chien Pin Liu*, Ju Hsuan Li, En Ping Chu, Chia Yeh Hsieh, Kai Chun Liu, Chia Tai Chan, Yu Tsao

*此作品的通信作者

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

摘要

Falls are the public health issue for the elderly all over the world since the fall-induced injuries are associated with a large amount of healthcare cost. Falls can cause serious injuries, even leading to death if the elderly suffers a 'long-lie.' Hence, a reliable fall detection (FD) system is required to provide an emergency alarm for first aid. Due to the advances in wearable device technology and artificial intelligence, some fall detection systems have been developed using machine learning and deep learning methods to analyze the signal collected from accelerometer and gyroscopes. In order to achieve better fall detection performance, an ensemble model that combines a coarse-fine convolutional neural network and gated recurrent unit is proposed in this study. The parallel structure design used in this model restores the different grains of spatial characteristics and capture temporal dependencies for feature representation. This study applies the FallAllD public dataset to validate the reliability of the proposed model, which achieves a recall, precision, and F-score of 92.54%, 96.13%, and 94.26%, respectively. The results demonstrate the reliability of the proposed ensemble model in discriminating falls from daily living activities and its superior performance compared to the state-of-the-art convolutional neural network long short-term memory (CNN-LSTM) for FD.

原文English
主出版物標題2023 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2023 - Conference Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781665493840
DOIs
出版狀態Published - 2023
事件2023 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2023 - Jeju, Korea, Republic of
持續時間: 14 6月 202316 6月 2023

出版系列

名字2023 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2023 - Conference Proceedings

Conference

Conference2023 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2023
國家/地區Korea, Republic of
城市Jeju
期間14/06/2316/06/23

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