Skeleton-Based Gesture Recognition With Learnable Paths and Signature Features

J Cheng, D Shi, C Li, Y Li, H Ni, L **… - IEEE Transactions on …, 2023‏ - ieeexplore.ieee.org
For the skeleton-based gesture recognition, graph convolutional networks (GCNs) have
achieved remarkable performance since the human skeleton is a natural graph. However …

Air-text: Air-writing and recognition system

SK Lee, JH Kim - Proceedings of the 29th ACM International Conference …, 2021‏ - dl.acm.org
Text entry takes an important role of effectively delivering the intention of users to computers,
where physical and soft keyboards have been widely used. However, with the recent trends …

Adaptive Global Gesture Paths and Signature Features for Skeleton-based Gesture Recognition

D Shi, X Zhang, J Cheng, T **ong, H Ni - International Conference on …, 2025‏ - Springer
Gestures exhibit sparse joint variations and different time scales, making local dynamic
analysis and global spatio-temporal modeling important. Path signature provides …

Two-Stream Spatial-Temporal Fusion Graph Convolutional Network for Dynamic Gesture Recognition

J Zhang, Q Li, X Lyu, Y Liang - 2022 8th International …, 2022‏ - ieeexplore.ieee.org
As a compelling field of computer vision, dynamic gesture recognition lays the foundation for
interactive interactions of virtual reality (VR) and augmented reality (AR). Compared with …