Yu-Jen Chen

Papers

Total Citations

H-Index

About

Dr. Yu-Jen Chen is a leading researcher in brain-computer interfaces (BCIs) and assistive technology, with a primary focus on developing non-invasive systems to restore mobility for individuals with severe motor disabilities. His most cited work, "An Electric Wheelchair Manipulating System Using SSVEP-Based BCI System" (2022, 33 citations), addresses a critical gap in assistive technology: while many patients use joysticks, those with conditions like multiple sclerosis or amyotrophic lateral sclerosis cannot. Chen’s solution harnesses steady-state visual evoked potentials (SSVEP) from EEG signals, enabling users to control an electric wheelchair through visual attention alone—no muscle movement required. This contribution is pivotal for expanding independence among the most severely disabled populations. Beyond this flagship study, Chen’s research portfolio consistently explores how neural signals can be translated into real-world control commands, pushing the boundaries of practical, real-time BCI applications. His work stands out for its direct translational impact, bridging laboratory-grade neural decoding with everyday assistive devices. By prioritizing usability and patient-specific needs, Chen has established himself as a key innovator in neurorehabilitation engineering, with his citation record reflecting growing recognition from both the BCI and assistive robotics communities.