Real-Time BCI System Design to Control Arduino Based Speed Controllable Robot Using EEG

The book "Real-Time BCI System Design to Control Arduino Based Speed Controllable Robot Using EEG" offers a comprehensive analysis of the fundamental requirements and limitations involved in building a brain-computer interaction system (BCI). It addresses the technical prerequisites for developing signal processing and acquisition modules and highlights the essential aspects to consider when designing a signal acquisition module. These include understanding human brain functions, the various types and applications of BCI systems, as well as the basics of EEG recording. The work also compares different algorithms that can be used for signal processing in brain-computer interfaces and provides a detailed examination of the available EEG acquisition devices, including their features and weaknesses. Special attention is given to the use of the Emotiv EPOC, an EEG acquisition module, to develop a complete BCI system that controls robots using a neural network classification module.