3 accepted papers
Enhancing brain activation efficiency is crucial in developing brain computer interface (BCI) paradigm for cognitive rehabilitation. However, the existing BCI paradigms mostly achieved limited sensory-activation without sufficient feedback of mind and body, significantly limiting the user engagement…
Accurately assessing brain activity to modulate training parameters online is crucial for improving the human-robot cognitive interaction (HRCI) performance in closed-loop brain training. The major challenge for this technique lies in how to accurately model and characterize the intrinsic behavior o…
Brain-computer interface (BCI) is an important technology in developing the closed-loop brain training system for cognitive functional rehabilitation. Most of existing BCI paradigms have not ensured desired immersiveness of mind and body, thereby limiting participants’ engagement in training tasks.