Recent developments in video analysis of sports and computer vision techniques have
achieved significant improvements to enable a variety of critical operations. To provide …

To understand human behaviors, action recognition based on videos is a common
approach. Compared with image-based action recognition, videos provide much more …

This study developed two action recognition models using the YOLOv8-Alphapose two-
stream spatial temporal graph convolutional networks (2s-STGCN), and the networks were …

This paper presents a proposed multistage deep neural network pipeline for sports action
recognition. The proposed pipeline is based on the classification of stroke types of table …

Table tennis game is based on the speed of the player's response to different attacks and
defense strokes. A way to enhance the player's performance and technique while training is …

Studying natural cognition with ecologically valid conditions is important because artificial
stimuli in lab-based experiments may lead to findings that are not representative of real …