CMOVA BCI
EEG Collection & Prediction using ML Algorithms @ RVCE (Jan - Jun 2016)
Explored the possibility of combining Steady State Visually Evoked Potential (SSVEP) and Steady State Auditory Evoked Potential (SSAEP) Brain Computer Interface (BCI) paradigms as an efficient mode of communication for paralysed people i.e., Concurrent Multi-Output Visio-Auditory (CMOVA) BCI
Implemented various neuroscience related feature extraction techniques and machine learning algorithms in MATLAB
Studied and compared the offline accuracies of different feature extraction and machine learning algorithms
Led the team and coordinated with the voluntary subjects throughout the project