Xizi Song
Papers
1
Total Citations
95
H-Index
1
About
Xizi Song is a leading researcher at the intersection of brain–computer interfaces (BCIs) and augmented reality (AR), with a primary focus on steady-state visually evoked potential (SSVEP)-based systems. Their most influential work, an online SSVEP-BCI system integrated into an optical see-through AR environment (2019, 95 citations), pioneered high-speed, real-time neural control within immersive, head-mounted displays. This contribution demonstrated that AR-based BCIs could achieve performance comparable to traditional screen-based setups, opening new avenues for hands-free interaction in assistive technology and human-computer interaction. Song’s research addresses critical challenges in wearable BCI design, including stimulus presentation, signal processing, and user comfort in mixed-reality contexts. By validating the feasibility of high-speed online control in AR, their work has laid the groundwork for next-generation neuroadaptive interfaces. With a growing citation impact, Song continues to advance practical BCI applications that merge neural decoding with augmented perception, making them a key figure in the evolution of non-invasive, real-world brain-computer communication.
Research Focus
Key Achievements
Top Papers
- 1