Table 2: Results of our system on the three datasets (URFD, FDD, and Multicam) using different setups. In the minibatch size column, “full” means batch training and is the value of the weight given to the fall class. Notice that the ReLU activation function is always preceded by batch normalization. Sens. refers to sensitivity, whereas Spec. is used for specificity.

DatasetLearning rateMinibatch sizeActivation functionSens. Spec.

URFD10−5 64 1 ReLU 100.0% 94.86%
Multicam 10−3 Full 1 ReLU 98.07% 96.20%
FDD 10−4 1,024 2 ELU 93.47% 97.23%