Series Preface xvii
Preface xix
Acknowledgement xxi
Part I: Fundamentals of Affective AI 1
1 Emotion Recognition Techniques: Facial Expression Analysis, Speech Emotion Recognition, Physiological Signal Processing, and Multimodal Approaches 3
Monish L., Shaila S.G., Ramesh Chundi, Sumana S.G., Shivamma D. and Manjula M.
2 Natural Language Processing for Sentiment and Emotion Analysis â" AI-Driven Methods for Detecting the Emotions in Text, Chatbots, and Social Media 25
Shaila S.G., Monish L., Sumana S.G. and Ramesh Chundi
3 Affective Computing in Edge-Based Healthcare Systems 45
Dhamarai Selvi K.V., G. Revathy, Raja Rajeswari Balaji and M. Shyamalagowri
Part II: Machine Learning in Affective AI 77
4 Deep Learning for Emotion Recognition â" CNNs, RNNs, Transformers, and Self-Supervised Learning Techniques 79
Shivamma D., Shaila S.G., Monish L., Ramesh Chundi and Sumana S.G.
5 Early Detection of Mental Health Disorders Using Affective AI on Social Media Textual Data 105
A. Sumathi, V. Rishikeswaran and P. Umamaheswari
6 Multi-Modal Emotion Detection System: Fusion of Facial Voice and Physiological Data for Improved Emotion Understanding 129
Monish L., Shaila S.G., Ramesh Chundi, Sumana S.G. and Manjula M.
7 Affective AI-Enhanced Ensemble Learning for Cardiac Disease Risk Prediction 153
M. Sridevia, A. L. Sriramb, P. Veeraragavanc and P. Madhavasarmad
Part III: Applications Affective AI 175
8 Affective AI in Healthcare and Mental Health â" AI-Driven Emotion Detection for Diagnosing Depression, Anxiety, and Autism Spectrum Disorders 177
Shivamma D., Shaila S.G., Monish L., Ramesh Chundi and Sumana S.G.
9 Emotionally Aware Machine Learning for X-Ray Fracture Classification: A SHAP-Driven Approach 193
M. Sridevi, S. Venkatesh, P. Veeraragavan and P. Madhavasarma
10 Understanding Affective AI: A Review of Emotion Detection Computation and Real-World Applications 211
Umamaheswari P., Abiramasundari S. and Sumathi A.
11 Smart Attendance System Using Face Emotion Recognition and Power BI for Affective AI 225
S. Selvi, S. A. Dhanasekaran and B. Vinaykrishna
Part IV: Real World Applications of Affective AI 243
12 The Role of Logic in Emotion Understanding: A Neurosymbolic Perspective 245
M. Thangavel, D. Ravikumar, S. Senthilvadivu and M. Santhosh Kumar
13 Transfer Learning for Affective Computing: Challenges and Opportunities 265
Madona B. Sahaai, D. R. Ashwin Kumar, A. Priyadharshini and S. Gokulraj
14 Explainability and Interpretability in Affective AI Methods for Making AI-Driven Emotion Recognition Transparent and Trustworthy 285
Farjana Farvin Sahapudeen and T. Vigneswari
15 From EEG to Emotion: Spatio-Temporal Deep Learning for Real-Time Affective State Recognition 311
S. Murali Mohan, B. Rupa Devi, R. Tharun, Arakonam Elen Kokila, Konkala Divya and M. Sudhakara
References 349
Index 353