Topic: “Exploration of various classification algorithms for Sensory Motor Rhythm (SMR) analysis of a ‘Turn Left’ command for a Care-o-Bot simulator using an Emotiv EPOC headset.”
Responsible: Ramesh Kumar Natarajan
Emotiv Epoc is one of the best BCI devices which offers a special variant for researchers to develop BCI applications. Moreover, it works based on a traditional 10-20 EEG system with 16 electrodes and a gyroscope. The interface for the device is implemented by an EPOC control panel that comes along with the device. The users are trained to use the device by providing a cube interface with a separate training profile for each user. The trained data sets can be used only for the specific user profile and this leads to the device to be not usable by an untrained user. For the device to be applied in the field of robotics, the brain signals from the users are to be made generic by applying various pattern recognition algorithms to study the common features of the brain signals of various individuals of a particular command.
Note: This R & D Project is a project being carried out as a preparation for the Master Thesis project at the Bonn Rhein Sieg University of Applied Sciences.