Affective Computing Applications Using Artificial Intelligence in Healthcare : Methods, Approaches and Challenges in System Design.

Format:

Book

Author/Creator:

Murugappan, M.

Series:

Healthcare Technologies Series

Language:

English

Subjects (All):

Artificial intelligence.

Medical technology.

Physical Description:

1 online resource (185 pages)

Edition:

1st ed.

Place of Publication:

Stevenage : Institution of Engineering & Technology, 2024.

Summary:

This book provides an overview of affective computing applications in healthcare using AI and IoT. This book covers modelling methods, frameworks, and algorithms used for human affect detection using biosignal/image processing methods.

Contents:

Contents

About the editor

Preface

Acknowledgement to reviewers

1. EEG-based emotion recognition using time–frequency images and hybrid ResNet models | Shreyas Krishnan, Lavanya Murugan, Aya Hassouneh, Rajamanickam Yuvaraj, A. Amalin Prince, T. Thiyagasundaram and M. Murugappan

2. Detection of facial emotion using thermal imaging based on deep learning techniques | B. Sathyamoorthy, U. Snekhalatha and T. Rajalakshmi

3. Gender and emotion recognition from EEG and eye movement patterns | Maneesh Bilalpur, Seyed Mostafa Kia, Mohan Kankanhalli, Ramanathan Subramanian and M. Murugappan

4. Gesture-oriented supernumerary robotic fingers for post-stroke rehabilitation | Chetana Krishnan, Vijay Jeyakumar, A. Anusha and S. Shivapriya

5. Comparative analysis of CNN and RNN-LSTM model-based depression detection using modified spectral and acoustic features | Abhishek Ankumnal Matt, Yashika Kudesia, R. Subashini, M. Shaima, Abhijit Bhowmick, Rajesh Kumar M., Rani C., Aya Hassouneh, Lavanya Murugan and M. Murugappan

6. Unraveling emotions: harnessing pre-trained convolutional neural networks for electroencephalogram signal analysis | Md. S. Bin Islam, Md. S.I. Sumon, M. Murugappan and M.E.H. Chowdhury

7. Deep neural network-based stress detection using biosignals | R. Bharathi Vidhya, S. Jerritta and T. Thiyagasundaram

8. Explainable deep learning models for emotion recognition using facial images | B. Vinoth Kumar, J. Adlene Anusha, K.S. Naveena, S. Vats, M. Pravaagini, V. Aishwarya, M. Naren Siddharth and B.R. Arulkumara

9. Converging emotion recognition with AI and IoT | Varsha Kiran Patil, Vijaya Rahul Pawar, Aditya Kiran Patil, Dhanshree Yende, Rutika Bankar, Shriya Thorat and Mustafa Sameer

Index Generated by AI.

Notes:

Description based on publisher supplied metadata and other sources.

Part of the metadata in this record was created by AI, based on the text of the resource.

ISBN:

1-83724-341-7

1-83953-732-9

OCLC:

1438670875