Vision-Based Fall Detection with Convolutional Neural Networks

Table 1

Number of frames of each dataset, distribution of frames per class (fall and “no fall”), and number of fall/“no fall” samples (sequences of frames corresponding to a fall or a “no fall” event).

Dataset	Total frames	Fall frames	No fall frames	Falls #	No falls #
URFD	11,936	900	11,036	30	973
Multicam	261,137	7,880	253,257	184	376
FDD	108,476	3,825	104,651	127	221