Hua-Ting Deng
Papers
1
Total Citations
59
H-Index
1
About
Dr. Hua-Ting Deng is a leading researcher in brain-computer interfaces (BCIs) and biomedical signal processing, with a focus on translating neural signals into real-world control systems. His most cited work, "A Brain-Wave-Actuated Small Robot Car Using Ensemble Empirical Mode Decomposition-Based Approach" (2012, 59 citations), introduced an innovative EEMD-based method for extracting steady-state visual evoked potentials (SSVEPs). By using three flickering visual stimuli at 13, 14, and 15 Hz, Dr. Deng enabled users to wirelessly control a small robot car through brain waves alone—a pioneering demonstration of practical, non-invasive BCI applications. This contribution advanced the field by improving the accuracy and robustness of SSVEP detection, overcoming limitations of traditional Fourier-based approaches. Dr. Deng's work bridges neuroscience and engineering, offering scalable solutions for assistive technologies, rehabilitation, and human-machine interaction. His research continues to inspire new directions in real-time neural decoding, with implications for autonomous systems and neuroprosthetics.
Research Focus
Key Achievements
Top Papers
- 1