8 datasets found

Skeleton-based action recognition has recently received considerable attention. Current approaches to skeleton-based action recognition are typically formulated as one-hot...

SHREC dataset is a dataset of 3D hand gestures, and JHMDB dataset is a dataset of 2D human body actions.

Kinetics Skeleton 400 is a dataset adapted from the Kinetics 400 video dataset using the OpenPose toolbox in 2D keypoint modality.

Skeleton-based action recognition has recently made significant progress. However, data imbalance is still a great challenge in real-world scenarios. The performance of current...

N-UCLA dataset is a widely used skeleton-based action recognition dataset, containing 1494 video clips featuring 10 volunteers.

Skeleton-based action recognition, which classifies human actions based on the coordinates of joints and their connectivity within skeleton data.

NW-UCLA is a small-scale dataset commonly used in this field to test the robustness of methods, including 1494 video clips with 10 action categories performed by 10 different...

Skeleton-based action recognition has attracted considerable attention due to its compact representation of the human body’s skeletal structure. Many recent methods have...