Tongbo Li
Papers
1
Total Citations
7
H-Index
1
About
Tongbo Li is a researcher at the forefront of assistive robotics and human-machine interaction, with a particular focus on intelligent wheelchair control systems. His work centers on enhancing the autonomy and usability of assistive devices for individuals with mobility impairments. Li’s major contribution lies in developing innovative approaches to integrate biological signals, such as electro-oculogram (EOG) and eye movement signals, for directional intention identification. His most-cited paper, "A New Directional Intention Identification Approach for Intelligent Wheelchair Based on Fusion of EOG Signal and Eye Movement Signal" (2018), addresses a critical challenge in the field: the inherent weakness and susceptibility of EOG signals to external interference. By fusing EOG with eye movement data, Li’s approach significantly improves recognition accuracy, paving the way for more reliable and intuitive control of wheelchairs. This work, with 7 citations, demonstrates his impact on advancing non-invasive, bio-signal-based control interfaces. Li’s research holds promise for transforming the lives of users by enabling safer, more responsive assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1