Attention-Enhanced 1D Convolutional Neural Network Transformer for Skeleton-Based Sign Language Recognition
This study proposes a Sign Language Recognition (SLR) method based on the analysis of temporal sequences derived from hand skeletal data. The input functions consist of hand-marked coordinates obtained from the video and normalized to a fixed length of the sequence by interpolation. The velocity is introduced together...