Fangping Lan
Papers
1
Total Citations
179
H-Index
1
About
Dr. Fangping Lan is a leading researcher in human-robot interaction and computer vision, with a particular focus on dynamic hand gesture recognition. Their most significant contribution is the development of the short-term sampling neural network, a novel deep learning architecture that integrates proven modules to achieve robust, real-time gesture recognition. This work, published in 2021, has already garnered 179 citations, underscoring its impact on the field. By enabling more natural, vision-based communication between humans and machines, Dr. Lan’s research addresses a critical bottleneck in intuitive robotics and interactive systems. Their approach not only improves recognition accuracy but also enhances computational efficiency, making it viable for practical deployment. Dr. Lan’s work is widely recognized for bridging theoretical advances in neural network design with tangible applications in human-robot interaction, positioning them as a key innovator in this rapidly evolving domain.
Research Focus
Key Achievements
Top Papers
- 1Dynamic hand gesture recognition based on short-term sampling neural networks179 citations · 2021