Lina Zhao
Papers
1
Total Citations
17
H-Index
1
About
Lina Zhao is a leading researcher in human-computer interaction and assistive robotics, with a focus on developing intuitive interfaces for individuals with severe motor impairments. Her most cited work introduces the Face-Computer Interface (FCI), a groundbreaking system that uses facial electromyography (fEMG) to recognize user intent, enabling control of rehabilitation robots and assistive devices through natural facial movements. This 2021 study, cited 17 times, demonstrates a novel online HCI with audiovisual feedback, offering a stable, comfortable, and non-invasive alternative for patients with upper limb amputations or high paraplegia who cannot use traditional limb-based controls. Zhao’s contributions bridge the gap between biomedical signal processing and practical assistive technology, directly addressing the critical need for independent living solutions. Her work has significant implications for rehabilitation engineering, empowering individuals with limited mobility to interact with their environment and regain autonomy. By prioritizing user comfort and real-time responsiveness, Zhao advances the field toward more accessible, human-centered robotic control systems.
Research Focus
Key Achievements
Top Papers
- 1