8 datasets found

The dataset used in this paper for Nordic Walking activity recognition.

The dataset used in the paper is the NFL Football dataset, which contains player and ball trajectories from the 2017 NFL season.

The dataset used in the paper is the NBA SportVU dataset, which contains player and ball trajectories from the 2015-2016 NBA season.

The Olympic Sports dataset consists of video sequences of athletes practicing 16 different sports. The dataset contains an overall number of 113,516 frames, covering a rich set...

The Sport dataset is a knowledge graph dataset.

The Sports-1M dataset is a large-scale video dataset for activity recognition. It contains 600 classes of actions, with 50 hours of video footage.

Human activity recognition is a widely investigated problem in the field of computer vision that has diverse applications in human-computer interaction, robotics, surveillance,...

Human Activity Recognition (HAR) is an essential field within Human-Computer Interaction, ubiquitous computing [Ma et al., 2019], and the Internet of Things [Abdallah et al.,...