Papers
6
Total Citations
118
H-Index
5
About
Lina Tong is a leading researcher in rehabilitation robotics and human-robot interaction, with a focus on developing intelligent systems that restore mobility and enhance human-machine communication. Her core contributions span lower limb rehabilitation robots, motion intention recognition, and sEMG-based gesture control. Tong pioneered the design of the iLeg—a novel lower limb rehabilitation robot for sitting/lying postures—and advanced its dynamics modeling and identification under motion constraints, enabling model-based recognition of patients’ motion intention for active rehabilitation training. Her work on zero-force control frameworks using fuzzy-PID methods has further improved post-stroke training outcomes. More recently, Tong has expanded into gesture recognition for remote-operated robots in hazardous environments, such as coal mine inspection manipulators, employing multistream CNNs and adaptive channel selection to decode forearm sEMG signals. With over 118 citations across her most-cited papers, her research has been published in leading venues including *Mechanism and Machine Theory* and *IEEE Sensors Journal*. Tong’s interdisciplinary approach—bridging mechanical design, control theory, and machine learning—positions her work at the forefront of assistive and industrial robotics, directly impacting patient rehabilitation and operator safety.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6CAM-MR-MS based gesture recognition method using sEMG2 citations · 2025