Brain informatics: Modeling and classification of brain data

Brain Computer Interfacing (BCI) is changing the way humans communicate with machines. The initial interest in BCI emerged in biomedical domain to restore the motor functionalities of locked-in patients – the people who suffer from serious physical disabilities. The total population of persons with disabilities (PWDs) is about 5 million in Pakistan.

Our project is to develop Brain Computer Interface (BCI) for wheelchair navigation through Electroencephalography (EEG) for severely paralyzed people. Our aim is to investigate the modeling and classification of brain signals through EEG. These signals will be modeled, classified and commands based on the classification will be sent to the wheelchair. Such system will provide provision to disabled people in daily life and in their professional life. With this precious gift of mobility, disabled people can start a new life in new ways and contribute better with family and friends.

Physically impaired and disabled people are an integral part of human society. Devices providing assistance to such individuals can help them contribute to the society in a more productive way. Assistive robot, prosthetic hand, and quadcopter controlled by BCI are some of the applications of assistive devices. For this purpose, EEG headset is used to record electroencephalogram (EEG) signals for classification and processing.  Classified control signals are then transmitted to device for performing intended action. We have tested various BCI paradigms on robotic applications

Posted on: May 7, 2020