IET Book - Book Chapter

Recently, affective computing has gained popularity and has been applied widely in several fields, including marketing, e-learning, economics, healthcare, assistive devices, and human-machine interface (HMI) systems design. Artificial intelligence (AI) plays a vital role in the design of affective computing systems and is primarily used for making decisions. Research advances in artificial intelligence and the Internet of Things (IoT) have enabled researchers to design more cost-effective and robust systems for a variety of applications. Particularly, the advent of deep learning and transformer approaches has made it possible for researchers to develop efficient affective computing systems for healthcare applications. In this book, we discuss aspects of affective computing systems design and statistical learning models and applications in healthcare based on AI and IoT. We also discuss the challenges in designing an affective computing system and the opportunities that arise in developing intelligent systems for clinical diagnosis. The book provides a comprehensive and modern account of the implementation of Affective Computing systems in healthcare based on AI and IoT for affective detection and diagnosis. Furthermore, this book covers the fundamental concepts as well as recent applications, making it suitable for both naive and experienced readers, researchers, and scholars.

Major topics to be included in the book are:

• Affective Computing (AC), Models, and application of Artificial Intelligence in AC.

• IoT based affective computing systems in healthcare (diagnosis/prognosis)

• Advanced AI methods in affective state detection using facial images and biosignals.

• Speech, Facial Image, Gesture, and Biosignals based affective state detection using machine learning and advanced machine learning algorithms

• Feature extraction, feature reduction/ selection methods used in AC systems in healthcare.

• Applications in healthcare such as Anxiety, Pain, Stress, Emotion, Emotional Stress, bipolar disorder, etc using different modalities (Speech, Facial Image, Gesture, and Biosignals) and AI.

• Case studies related to clinical diagnosis systems

• Advances, trends, and challenges in AC applications in Healthcare.

• Human Machine Interface (HMI) and Brain-Computer Interface (BCI) based assistive devices based on AC.

• •Wearable computing-based AC applications using biosignals

Author Benefits:

• The chapters will be indexed in SCOPUS.

• The chapter authors will receive free online access to the Book volume in which their chapter has been published. Moreover, chapter authors will also be allowed a 25% discount on the print edition of the book.

• The publisher will send one complimentary copy of the book to the corresponding author.

• No Publication/Article Processing/Submission Fee

Researchers, academicians, clinicians, scientists, research scholars, and other working professionals in the field of affective computing using biomedical signals are requested to submit their book chapter of original contribution with significant novelty to this book.

Any queries, please feel free to write to us at ietbook12022@gmail.com/ m.murugappan@kcst.edu.kw ;

Important dates

•Abstract Submission (max 250 words) : 15^th May 2022

•Acceptance of abstract : 20^th May 2022

•Full chapter submission :20^th June 2022

•Authors notification :20^th July 2022

•Camera-ready submission :5^th August 2022

•Permission and copyright :10^th Aug 2022

•Publication :1^st quarter of 2023

Abstract Submission link: Google form