A spatio-temporal graph neural network for fall prediction with inertial sensors
Author:
Funder
Natural Science Foundation of Chongqing Municipality
Natural Science Foundation Project of Chongqing
National Natural Science Foundation of China
Publisher
Elsevier BV
Reference39 articles.
1. Falls and fall-related injuries among community-dwelling adults in the United States;Verma;PLoS One,2016
2. Trends in nonfatal falls and fall-related injuries among adults aged⩾ 65 years—United States, 2012–2018;Moreland;Morbidity Mortal. Wkly Rep.,2020
3. A survey of IoT-based fall detection for aiding elderly care: sensors, methods, challenges and future trends;Karar;Appl. Sci.,2022
4. CMFALL: A cascade and parallel multi-state fall detection algorithm using waist-mounted tri-axial accelerometer signals;Wang;IEEE Trans. Consum. Electron.,2020
5. A novel hybrid deep neural network to predict pre-impact fall for older people based on wearable inertial sensors;Yu;Front. Bioeng. Biotechnol.,2020
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