Challenges in Design and development of EEG based BCI: A Review

This paper proposes and creates a new generalised view towards BCI with its related application and recent challenges that can notice through the field of application of BCI e.g. designing the new local neural classifier for the recognition of mental tasks from on-line spontaneous EEG signals. The classifier may be embedded in a portable braincomputer interface called ABI, which has been evaluated with young healthy normal persons. Subject’s performance is analyzed off-line and also online with the presence of proper bio feedback. Correct recognition is the challenge; modest rate is largely compensated by few properties of BCI wrong responses, and its decisions making ability with time factor. In this the subject and his/her personal ability and mental strength learn simultaneously from each other. Sometimes subject grasps it rapidly and so one of the subjects achieved excellent control over the system but few facing problems. Training to each subject is having a complex and individual independent challenge every time. How much the system or machine is convenient to the subject and how much the subject adopts to machine in just little training, making it time frequent and subject convenient is the challenge.