Opening book details…
Can I read Affective Computing Applications Using Artificial Intelligence in Healthcare : Methods, Approaches and Challenges in System Design on EtoBox?
Affective Computing Applications Using Artificial Intelligence in Healthcare : Methods, Approaches and Challenges in System Design by M. Murugappan is a book available to read on EtoBox.
What is Affective Computing Applications Using Artificial Intelligence in Healthcare : Methods, Approaches and Challenges in System Design about?
Affective computing is the study and development of systems and devices that can recognise human emotions. This can be done using sensing technologies and AI algorithms to process biological signals or facial images to identify the different affective states, such as happiness, anger, fear, surprise, sadness and disgust. This non-invasive technique has applications in healthcare such as emotional impairment detection, mental health assessment, emotional stress assessment, cognitive decline detection, attention deficit disorders, neurodegenerative diseases, neurological disorders, autism spectrum disorder, stress, anxiety or other behavioural assessment. This edited book provides an overview of the ongoing research on affective computing applications in healthcare using AI and IoT. This book covers recent advancements in computing technology, modelling methods, frameworks, and algorithms used for human affect detection using bio-signal and image processing methods.The book explores the use of EEG signals, thermal imaging, eye-movement patterns, gesture recognition systems and IoT systems to gather information and discusses the use of deep learning, CNN and RNN-LSTM models of how thi
- Author
- M. Murugappan
- Publisher
- The Institution of Engineering and Technology
- Published
- 2024
- Language
- EN
- ISBN
- 9781839537318
- Subjects
- Medical, Computer Science, Stem
More by M. Murugappan
Browse all works by M. Murugappan
Similar books
- Affective Computing in Healthcare: Applications Based on Biosignals and Artificial Intelligence — M. Murugappan (2023)
- Applications of Artificial Intelligence in Medical Imaging (Artificial Intelligence Applications in Healthcare and Medicine) — Abdulhamit Subasi (2023)
- Applications of Artificial Intelligence in the Healthcare Sector — Jyoti Prakash Patra, Yogesh Kumar Rathore (2023)
- Advances in Artificial Intelligence for Healthcare Applications — Edited by V.S. Anoop & Suhasini Verma & Usharani Hareesh Govindarajan (2025)
- Big Medical Data, Cloud Computing, and Artificial Intelligence for Improving Diagnosis in Healthcare — Mustafa Asim Kazancigil (2022)
- Artificial Intelligence Using Federated Learning; Fundamentals, Challenges, and Applications — Ahmed A. Elngar & Diego Oliva & Valentina E. Balas (2024)