About the Book
Cognitive sensors and associated AI and algorithms are most important components of cognitive science research and studies. This book provides a critical review 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 presents a brilliant introduction to Cognitive Sensors for industrial and academic researchers in sensor science and technology, smart systems, Internet of Things, and biomedical engineering.
Key Features:
First book highlighting cognitive aspect of sensing and applications.
Reviews on Intelligent Sensing, IoTs and Embedded Machine Learning for sensor data.
Discussion on challenges related to wireless sensor network and machine learning.
Incudes smart healthcare and other smart automated systems exploiting cognitive sensing techniques.
Psychological studies on sensor data for educational and other research work.
Table of Contents:
Preface
Acknowledgements
Editor biographies
List of contributors
1 Introduction to cognitive Internet of Things 2 Internet of Things-Based Cognitive Wireless Sensor Networks: applications, merits, and demerits 3 Psychiatric disorders and cognitive impairment following COVID-19: a comprehensive review and its application for smart healthcare design 4 The use of the cognitive Internet of Things for smart sensing applications 5 Design challenges and issues in cognitive sensor networks: a mitigation and deployment perspective 6 Cognitive wireless sensor networks 7 Applications and challenges of IoT-based smart healthcare systems that use cognitive sensors: an overview 8 Redundancy issues in wireless sensor networks 9 Sensor-based devices and their applications in smart healthcare systems 10 Electromagnetic fields and the effects of Internet of Things infrastructure on human health 11 Cognitive sensing in the brain–computer interface: a comprehensive study
About the Author :
G R Sinha (PhD, Fellow IETE, Fellow ISTE, SMIEEE) is Adjunct Professor at the International Institute of Information Technology Bangalore (IIITB) India. He has published 300 research papers, book chapters and books, and has edited 25 books in the field of Cognitive Science, Biomedical Signal Processing, Biometrics, Optimization Techniques, Sensors, Outcome based Education, and Data Deduplication. His research interest includes Biometrics, Cognitive Science, Medical Image Processing, Computer Vision, Outcome based Education (OBE) and ICT tools for developing Employability Skills.
Varun Bajaj (PhD, MIEEE 16 SMIEEE20) has been working as a faculty member in the discipline of Electronics and Communication Engineering, at the Indian Institute of Information Technology, Design and Manufacturing (IIITDM) Jabalpur, India since 2014. He received his Ph.D. degree in the Discipline of Electrical Engineering, at Indian Institute of Technology Indore, India in 2014. He has 138 publications which include journal papers (88), conference papers (31), books (09), and book chapters (10). He is a recipient of various reputed national and international awards. His research interests include Biomedical Engineering, AI in Healthcare, Brain Computer Interface, Pattern Recognition, and ECG signal processing.
Review :
Maybe it was a matter of time, but we have moved beyond smart sensors to cognitive ones, powering the even-smarter devices of the Internet of Things (IoT). The preface to this book promises sensors that have increased awareness of their environment and the other sensors around them, and so are able to learn, adapt and perform functions that involve increased levels of intelligence in making decisions. For the readers enticed by the title or the preface, the book should come with a warning.
Starting with an accessible yet thorough introduction to cognitive sensors, the book offers a variety of perspectives on topics ranging from sensor architecture to applications of networks of sensors. There is a bit of uncertainty regarding the term “cognitive.” When applied to networks of sensors, the term indicates an ability to intelligently allocate and reallocate bandwidth. This book discusses such applications but also talks about sensors that are inherently intelligent.
There are many block diagrams and qualitative explanations, but no equations or quantitative results. Among the several chapters that focus on wireless sensor networks, some introductory concepts are repeated unnecessarily.
Each chapter is written by a somewhat different group of authors, having and showing a wide variation in their depth of expertise in the topic. As a result, the quality is rather uneven, including self-contradictory statements (do WSN provide information to IoT or the other way around—or both?) A “bonus” chapter in the middle of the book is on cognitive impairments following COVID-19, with no apparent connection to sensors or IoT. Another chapter is about electromagnetic fields and the effect of IoT on human health, but it has nothing to do with sensors, cognitive or not.
The book does not include exercises that would make it suitable as a textbook, and professionals should consider it with caution. Given the relative lack of depth and the uneven quality, relying on information from this book might require prior expertise rather than simply a desire to learn.
Bogdan Hoanca, Optica, March 2023
