They examined whether single-trial electroencephalography might be used in combination with a CNN to predict balance loss. With the chance level set at 50%, the model’s accuracy in the five-fold cross-validation test averaged at 75.2% [11]. A fall detection system that uses deep neural ...
based on a four-branch architecture (4S-3DCNN) that classifies whether there is an incident of a human fall. The evaluation included the use of more than 6392 generated sequences from the Le2i fall detection dataset, which is a publicly available fall video dataset. The proposed method, ...