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An Effective Deep Learning Framework for Fall Detection: Model Development and Study Design

An Effective Deep Learning Framework for Fall Detection: Model Development and Study Design

In this case, Hussain et al [32], Son et al [33], Liu et al [34], and Koo et al [35] use acceleration data with gyroscope data as the input to the model. Hussain et al [32] and Son et al [33] designed fall detection algorithms using KNN and SVM, both of which require manual feature extraction. Additionally, Liu et al [34] developed a CNN-LSTM–based FDS.

Jinxi Zhang, Zhen Li, Yu Liu, Jian Li, Hualong Qiu, Mohan Li, Guohui Hou, Zhixiong Zhou

J Med Internet Res 2024;26:e56750

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