A toolbox for skeleton-based action recognition.

implementation of STGCN for traffic prediction in IJCAI2018

Learning Unseen Emotions from Gestures via Semantically-Conditioned Zero-Shot Perception with Adversarial Autoencoders

[SHREC24] Skeleton-based Self-Supervised Learning For Dynamic Hand Gesture Recognition

A Unified Action Recognition System that allows the users to fine-tune with only a few videos to suit their unique application.

This is the project repository for the research study Human Action Recognition using BlazePose Skeleton on Spatial Temporal Graph Convolutional Networks presented by Motasem S. Alsawadi and Miguel Rio.

AG-MAE: Anatomically Guided Spatio-Temporal Masked Auto-Encoder for Online Hand Gesture Recognition

Skeleton-based Self-Supervised Feature Extraction for Improved Dynamic Hand Gesture Recognition

Analyzing and predicting the demand for bikes using a Spatio-Temporal Graph Convolutional Network (STGCN) model.

CSDC 연구실 낙상 감지 모듈

Repository meant to reproduce the research results of the paper "Towards Multi-User Activity Recognition through Facilitated Training Data and Deep Learning for Human-Robot Collaboration Applications". Please find the AAM at the following link:

4D facial dynamics analysis with Welsh language fluency detection.