Guili Dong
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Guili Dong has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Andong Liu
Zhejiang University of Technology
1 shared publication Haotian Huang
College of Information Engineering, Zhejiang University of Technology, Hangzhou, China
1 shared publication- Wen-An Zhang
Zhejiang University of Technology
1 shared publication Yichen Huang
College of Information Engineering, Zhejiang University of Technology, Hangzhou, China
1 shared publication
Latest Publications
- 1 June 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Embedded Systems Letters
- Vol. PP (19430663) , 1
Design and Development of Portable Assistive Rehabilitation Glove System Based on STM32F429
Assistive rehabilitation gloves are critical for patients with hand dysfunction, but existing systems suffer from poor portability, and reliance on subjective therapist assessments. This letter presents a compact, embedded rehabilitation glove system based on the STM32F429 microcontroller, enabling personalized and precise rehabilitation training. A pruned cross-entropy support vector machine (SVM) algorithm is proposed to realize real-time movement recognition through visual data (320×240 pixels, 1 fps), overcoming the deployment limitation of complex networks on embedded hardware. A rehabilitation index α is defined with cross-entropy to quantify movement similarity with pre-stored standard movements is utilized, driving adaptive variable impedance control(VIC) to adjust movement stiffness. Experimental results show the system achieves 83.8%–94.3% recognition precision, a maximum grasping force of 1.4 N (Newton), and effective completion of dexterous tasks (e.g., egg grasping, cylinder manipulation). This portable solution realizes data-driven rehabilitation and addresses the gap between professional therapy and home-based training.
- 1 June 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Embedded Systems Letters
- Vol. PP (19430663) , 1
Design and Development of Portable Assistive Rehabilitation Glove System Based on STM32F429
Assistive rehabilitation gloves are critical for patients with hand dysfunction, but existing systems suffer from poor portability, and reliance on subjective therapist assessments. This letter presents a compact, embedded rehabilitation glove system based on the STM32F429 microcontroller, enabling personalized and precise rehabilitation training. A pruned cross-entropy support vector machine (SVM) algorithm is proposed to realize real-time movement recognition through visual data (320×240 pixels, 1 fps), overcoming the deployment limitation of complex networks on embedded hardware. A rehabilitation index α is defined with cross-entropy to quantify movement similarity with pre-stored standard movements is utilized, driving adaptive variable impedance control(VIC) to adjust movement stiffness. Experimental results show the system achieves 83.8%–94.3% recognition precision, a maximum grasping force of 1.4 N (Newton), and effective completion of dexterous tasks (e.g., egg grasping, cylinder manipulation). This portable solution realizes data-driven rehabilitation and addresses the gap between professional therapy and home-based training.