5 papers
Generative Modeling of Human-Computer Interfaces with Diffusion Processes and Conditional Control
Rui Liu, Liuqingqing Yang, Runsheng Zhang +1
This study investigates human-computer interface generation based on diffusion models to overcome the limitations of traditional template-based design and fixed rule-driven methods…
DeepSORT-Driven Visual Tracking Approach for Gesture Recognition in Interactive Systems
Tong Zhang, Fenghua Shao, Runsheng Zhang +2
Based on the DeepSORT algorithm, this study explores the application of visual tracking technology in intelligent human-computer interaction, especially in the field of gesture rec…
Automated UI Interface Generation via Diffusion Models: Enhancing Personalization and Efficiency
Yifei Duan, Liuqingqing Yang, Tong Zhang +2
This study proposes a UI interface generation method based on a diffusion model, aiming to achieve high-quality, diversified, and personalized interface design through generative a…
Computer Vision-Driven Gesture Recognition: Toward Natural and Intuitive Human-Computer
Fenghua Shao, Tong Zhang, Shang Gao +2
This study mainly explores the application of natural gesture recognition based on computer vision in human-computer interaction, aiming to improve the fluency and naturalness of h…
Optimizing Gesture Recognition for Seamless UI Interaction Using Convolutional Neural Networks
Qi Sun, Tong Zhang, Shang Gao +2
This study introduces an advanced gesture recognition and user interface (UI) interaction system powered by deep learning, highlighting its transformative impact on UI design and f…