Fig. 5

An example for comparing window generation during model training and inferencing. This example illustrates the utilization of windows extracted from various IMU trials in both model training and inference stages. During model training, windows generated from different trials were randomly chosen to train the DL model. The actual label assigned to each window corresponded to the experts’ annotation of the middle sample within that window. During the inference phase, windows were generated from the same IMU trial, employing a step size of 1 sample. Subsequently, all generated windows were input into the DL model to conduct sample-wise predictions