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Found 6 papers, 0 papers with code
Position and Orientation-Aware One-Shot Learning for Medical Action Recognition from Signal Data
Furthermore, the proposed privacy-preserved orientation-level features are utilized to assist the position-level features in both of the two stages for enhancing medical action recognition performance.
Learning with Noisy Labels for Human Fall Events Classification: Joint Cooperative Training with Trinity Networks
The robustness and performance of the noisy label learning framework is improved by using the two teacher modules and one student module in the proposed JoCoT.
Skeleton-based action analysis for ADHD diagnosis
Attention Deficit Hyperactivity Disorder (ADHD) is a common neurobehavioral disorder worldwide.
Two-stage Fall Events Classification with Human Skeleton Data
For better healthcare, it is thus not enough to do binary fall classification but to extend it to multiple fall events classification.
ActionXPose: A Novel 2D Multi-view Pose-based Algorithm for Real-time Human Action Recognition
We present ActionXPose, a novel 2D pose-based algorithm for posture-level Human Action Recognition (HAR).
Multi-Target Tracking and Occlusion Handling with Learned Variational Bayesian Clusters and a Social Force Model
This paper considers the problem of multiple human target tracking in a sequence of video data.
