In the modern world, sensors and sensor networks are critical features in developing applications for control and automation in engineering and technology. Areas such as computer-aided diagnosis, swarm robotics, industrial robotics, autonomous vehicles, cognitive science solutions, brain-computer interface (BCI), human-computer interaction (HCI), telemedicine etc. are emerging areas in which sensor input, including computer vision, plays a significant role in implementing, simulating and improving their performance. Cognitive Science is actually a multidisciplinary area of research that covers artificial intelligence, neuroscience, mathematics, philosophy, psychology, linguistics, automated diagnosis etc. Cognitive sensors and associated AI and algorithms are most important components of cognitive science research and studies. Cognitive Sensors are essentially smart and intelligent sensors having ability to mimic and exploit cognitive aspects of science and engineering, namely understanding, decision making, improving, adapting to the requirement and environmental changes.

This book provides a critical review and theoretical background of the emerging themes of cognitive sensors, how it functions and its applications in a range of disciplines. Volume I includes Sensor Physics, Imaging, Modalities, Pre-processing of images, Problems and Issues in Cognitive Sensing techniques, Cognitive Sensors and IoTs, Psychological, Philosophical and Linguistic Studies of Cognitive Science; Humanoid robots, Industrial Robots and intelligence, Cognitive Sensor Network and applications. This book is a great introduction to Cognitive Sensors for industrial and academic researchers in sensor science and technology, smart systems, Internet of Things, and biomedical engineering.