frame-rate

This paper evaluates the effect of frame sampling rate on sequence-based classification of autism-related self-stimulatory hand behaviors using LSTM and GRU models, achieving up to 98.75% accuracy at a 15-frame interval, and analyzes data augmentation strategies for small behavioral video datasets.