Focusing on innovation of non-invasive brain computer interfaces (BCI), neural interface devices with the following applications:
o       Encoding arm EMG signal for human-computer interfaces with gesture control, with potential usage on VR/AR gaming and IoT interfaces.
o       Flexible electronics EEG for sleep monitoring, especially for early diagnosis of Alzheimer’s Disease patient.
o       Stroke rehabilitation, using motor imagination (MI) in combination with exoskeleton or functional electrical stimulation (FES), aiming at active
rehab.
o       tDCS plus music rhythm to help stimulate human concentration and flow experience.

The team is comprised of top material scientist from best polymer school in US, top PhD biomedical engineers from Carnegie Mellon University, NYU,
scientists from Univ. of Chicago, Duke and UC Berkeley. Senior software engineer from Google. Stanford, Harvard and UT Austin professors as
consultants.