Search Results for author:
Found 2 papers, 2 papers with code
CZU-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and 10 wearable inertial sensors
Human action recognition has been widely used in many fields of life, and many human action datasets have been published at the same time.
Real-time 3D human action recognition based on Hyperpoint sequence
Instead of capturing spatio-temporal local structures, SequentialPointNet encodes the temporal evolution of static appearances to recognize human actions.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
