The ADLs performed activities enclose walking, clapping hands, moving an object, tying shoes, and sitting on a chair. For this protocol, twenty-two volunteers were involved, repeating each activity three times, totaling 36 signals for each testing cycle. Thus, a total number of 792 signals ...
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, ...
We found that all the fall activities can be detected correctly when the sensor unit was placed on the three human body segments. However, some ADLs were Sednseotresc2t0e1d7, i1n7,c2o0r9r6ectly when the sensor unit was placed on the shoulder and foot segments. 10 of 15 Sensors ...