Abstract: A team sports vision training system based on extended reality, voice interaction and action recognition is configured to train vision and an action of a user. A head-mounted display device includes a task scenario player and a speech sensing module. An action capture device generates an action message. A computing server stores a scenario setting parameter group and includes a task scenario generating module, a speech recognition module and an action recognition module. The task scenario generating module generates a virtual task scenario image and a task parameter group according to the scenario setting parameter group. The speech recognition module generates a speech recognition result and a vision training result. Then action recognition module generates an action recognition result and a sport training result. The vision training result and the sport training result are configured to judge whether the user meets a training requirement.

Abstract: An automatic real-time basketball box score recording and analysis system with videos captured from arbitrary angles is applied to a basketball game. A shot analyzing step is performed to analyze the videos to determine whether one of the videos is a real shot event to generate a shot analysis result. A data calculating step is performed to analyze the videos to determine that the real shot event is a three-point shot, a two-point shot or a free throw to generate a scoring result, and then calculate a game data according to the shot analysis result and the scoring result. A player analyzing step is performed to analyze the videos to obtain a posture analysis data of a shooter. The posture analysis data is configured to evaluate a performance of the shooter when shooting. An interface device is configured to modify and display the game data.