Welcome to the Brain-Computer Interface Lab

Brain-computer interface (BCI) is a non-muscular communication and control system that does not depend on the normal pathways of peripheral nerves and muscles (Wolpaw et al., 2000). BCIs allow users, including those with severe motor disabilities (e.g., Amyotrophic lateral sclerosis, ALS), to interact with the world through the use of their brain waves.

The electrophysiological signals that BCIs use include steady-state visual evoked potentials (SSVEP, Middendorf et al., 2000), slow cortical potentials (SCP, Birbaumer, 1997), P300 evoked potentials (Li et al., 2011), sensory motor rhythms (SMR, Neuper et al., 2009), or cortical neuronal action potentials (Kennedy et al., 2000).As a valuable augmentative communication system, BCI has recently gained considerable research interest, especially in research involving disabled persons, and many useful applications have been discovered. Our lab is devoted to the research and development of Brain-Computer Interface (BCI) to raise awareness of the importance of HF/E involvement in the emerging field of BCI technology.


July 17-21, 2017AHFE 2017
September 10–13, 2017International Mobile Brain-Body Imaging conference
October 5–8, 2017IEEE SMC 2017
October 9–13, 2017HFES 2017