Van-Hoang-Anh Phan
Papers
1
Total Citations
3
H-Index
1
About
Van-Hoang-Anh Phan is a rising researcher in computer vision and human-computer interaction, with a focus on deep learning for hand gesture recognition. His most cited work, "TQU-HG dataset and comparative study for hand gesture recognition of RGB-based images using deep learning" (2024), introduces a novel dataset and provides a comprehensive benchmark for RGB-based gesture recognition. This contribution is critical for advancing applications in human-robot interaction and assistive technologies for the deaf and mute. By systematically comparing deep learning architectures on this dataset, Phan offers valuable insights into model performance under varied conditions, helping to standardize evaluation in the field. Though early in his career, with 3 citations on this key paper, his work lays a strong foundation for future studies in gesture-based interfaces. Phan’s research addresses a pressing need for robust, data-driven solutions in HCI, and his dataset is poised to become a reference point for researchers seeking to improve real-world gesture recognition systems. His efforts highlight the potential of deep learning to bridge communication gaps and enhance human-machine collaboration.
Research Focus
Key Achievements
Top Papers
- 1