{"product_id":"affective-artificial-intelligence-fundamentals-challenges-and-applications-hardback-9781394422722","title":"Affective Artificial Intelligence; Fundamentals, Challenges, and Applications (Hardback) 9781394422722","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eAffective Artificial Intelligence\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eFundamentals, Challenges, and Applications\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eN. Thillaiarasu (Edited by), N Thillaiarasu (Author), G. Revathy (Edited by), T. Saravanan (Edited by), V. Muthukumaran (Edited by), S. Balamurugan (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394422722, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 29 June 2026\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e384 pages\u003cbr\u003e22.9 x 15.2 x 2.4 cm, 0.648 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eBridge the final frontier between logic and empathy with this definitive guide to building AI systems that do not just process data, but truly comprehend, interpret, and anticipate human emotion.\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eAs the role of AI continues to grow in our everyday lives, there is an increasing need to address the fundamental connections between AI and humans. Innovators across a range of industries are exploring the principles, technological foundations, and practical applications of AI systems that can comprehend, interpret, and respond to human emotions. This book is an essential guide to one of the most transformative frontiers of AI, where machines utilize human emotion in communicative contexts to bridge the chasm between people and technology. It explores the cutting-edge field of AI systems that go beyond traditional AI, which operates on logic and predefined algorithms, to systems that are attuned to human emotions, interactions, and psychological states. The volume highlights the significance of human-like emotional intelligence in AI and its potential to create more natural, empathetic, and intuitive human-AI interactions by delving into the technological underpinnings of affective AI, including emotion recognition techniques such as facial expression analysis, speech emotion recognition, and physiological signal processing and discusses how these systems capture and interpret emotional cues from users, allowing AI to not only react to stimuli but anticipate human needs, feelings, and intentions. Through expert insights and real-world case studies, readers gain an in-depth understanding of how affective AI is poised to redefine the relationship between humans and machines. \u003c\/p\u003e\n\u003cp\u003eReaders will find the volume: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIntroduces the emergence of affective artificial intelligence;\u003c\/li\u003e \u003cli\u003eDiscusses different applications of affective artificial intelligence in various industries;\u003c\/li\u003e \u003cli\u003ePresents state-of-the-art transfer learning analysis techniques.\u003c\/li\u003e\n\u003cul\u003e \u003cp\u003e\u003cb\u003eAudience\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eAI and Machine Learning researchers, academics, and engineers working towards AI-driven emotion recognition, sentiment analysis, and affective computing applications.\u003c\/p\u003e\n\u003c\/ul\u003e\n\u003c\/ul\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eSeries Preface xvii\u003cbr\u003ePreface xix\u003cbr\u003eAcknowledgement xxi\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I: Fundamentals of Affective AI 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1 Emotion Recognition Techniques: Facial Expression Analysis, Speech Emotion Recognition, Physiological Signal Processing, and Multimodal Approaches 3\u003cbr\u003e\u003ci\u003eMonish L., Shaila S.G., Ramesh Chundi, Sumana S.G., Shivamma D. and Manjula M.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2 Natural Language Processing for Sentiment and Emotion Analysis – AI-Driven Methods for Detecting the Emotions in Text, Chatbots, and Social Media 25\u003cbr\u003e\u003ci\u003eShaila S.G., Monish L., Sumana S.G. and Ramesh Chundi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3 Affective Computing in Edge-Based Healthcare Systems 45\u003cbr\u003e\u003ci\u003eDhamarai Selvi K.V., G. Revathy, Raja Rajeswari Balaji and M. Shyamalagowri\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II: Machine Learning in Affective AI 77\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4 Deep Learning for Emotion Recognition – CNNs, RNNs, Transformers, and Self-Supervised Learning Techniques 79\u003cbr\u003e\u003ci\u003eShivamma D., Shaila S.G., Monish L., Ramesh Chundi and Sumana S.G.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5 Early Detection of Mental Health Disorders Using Affective AI on Social Media Textual Data 105\u003cbr\u003e\u003ci\u003eA. Sumathi, V. Rishikeswaran and P. Umamaheswari\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6 Multi-Modal Emotion Detection System: Fusion of Facial Voice and Physiological Data for Improved Emotion Understanding 129\u003cbr\u003e\u003ci\u003eMonish L., Shaila S.G., Ramesh Chundi, Sumana S.G. and Manjula M.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7 Affective AI-Enhanced Ensemble Learning for Cardiac Disease Risk Prediction 153\u003cbr\u003e\u003ci\u003eM. Sridevia, A. L. Sriramb, P. Veeraragavanc and P. Madhavasarmad\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III: Applications Affective AI 175\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8 Affective AI in Healthcare and Mental Health – AI-Driven Emotion Detection for Diagnosing Depression, Anxiety, and Autism Spectrum Disorders 177\u003cbr\u003e\u003ci\u003eShivamma D., Shaila S.G., Monish L., Ramesh Chundi and Sumana S.G.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9 Emotionally Aware Machine Learning for X-Ray Fracture Classification: A SHAP-Driven Approach 193\u003cbr\u003e\u003ci\u003eM. Sridevi, S. Venkatesh, P. Veeraragavan and P. Madhavasarma\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10 Understanding Affective AI: A Review of Emotion Detection Computation and Real-World Applications 211\u003cbr\u003e\u003ci\u003eUmamaheswari P., Abiramasundari S. and Sumathi A.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11 Smart Attendance System Using Face Emotion Recognition and Power BI for Affective AI 225\u003cbr\u003e\u003ci\u003eS. Selvi, S. A. Dhanasekaran and B. Vinaykrishna\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart IV: Real World Applications of Affective AI 243\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12 The Role of Logic in Emotion Understanding: A Neurosymbolic Perspective 245\u003cbr\u003e\u003ci\u003eM. Thangavel, D. Ravikumar, S. Senthilvadivu and M. Santhosh Kumar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13 Transfer Learning for Affective Computing: Challenges and Opportunities 265\u003cbr\u003e\u003ci\u003eMadona B. Sahaai, D. R. Ashwin Kumar, A. Priyadharshini and S. Gokulraj\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14 Explainability and Interpretability in Affective AI Methods for Making AI-Driven Emotion Recognition Transparent and Trustworthy 285\u003cbr\u003e\u003ci\u003eFarjana Farvin Sahapudeen and T. Vigneswari\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15 From EEG to Emotion: Spatio-Temporal Deep Learning for Real-Time Affective State Recognition 311\u003cbr\u003e\u003ci\u003eS. Murali Mohan, B. Rupa Devi, R. Tharun, Arakonam Elen Kokila, Konkala Divya and M. Sudhakara\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eReferences 349\u003cbr\u003eIndex 353\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Computer science [\u003ca title=\"See our other books on Computer science\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Computer%20science%20%5BUY%5D%22\"\u003eUY\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Scrivener","offers":[{"title":"Brand New","offer_id":52433834148120,"sku":"9781394422722","price":145.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781394422722.jpg?v=1784854822","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/affective-artificial-intelligence-fundamentals-challenges-and-applications-hardback-9781394422722","provider":"Freshly Printed Books","version":"1.0","type":"link"}