Artificial Intelligence Applications for Brain-Computer Interfaces

Artificial Intelligence Applications for Brain-Computer Interfaces focuses on the advancements, challenges, and prospects for future technologies over non-invasive BCIs, including the processing and analysis of multi-bio-signals, integrated stimulation-acquisition devices, and implantable neuro-technologies. The book not only provides cross disciplinary research in the fields of Brain-Computer interfaces, it also presents divergent applications on telerehabilitation, emotion recognition, neuro-rehabilitation, and ambient assisted living environment through cognitive workload assessments. In 16 peer reviewed chapters Artificial Intelligence Applications for Brain-Computer Interfaces describes how Brain-computer interfaces (BCIs) enable a connection between the brain and external devices like computers and electronic gadgets. It analyses the neural signals from the brain to obtain insights from the brain patterns using multiple non-invasive wearable sensors and gives insight in how sensors outcome are processed through machine-intelligent models to draw inferences. Each chapter starts with the importance, problem statement and motivation. The description of proposed methodology is provided, and related works are also presented. Each chapter can be read independently and therefore the book is a valuable resource for researchers, health professionals, postgraduate students, post doc researchers and faculty members in the fields of Brain-Computer Interface (BCI), Prosthesis, Computer vision, and Mental state estimation, and all those who wish to broaden their knowledge in the allied field.