Description

Book Synopsis

Chapter 1 The Science of Emotion: Decoding and Analysis of Human Emotional Landscape.- Chapter 2 The Synergy of Clinical Psychology and Affective Computing: Advancements in Emotion Recognition and Therapy.- Chapter 3 Affective Computing in Mood Disorders: Beyond Conventional Diagnostic Tools to Modern Technologies.- Chapter 4 The Role of Affective Computing in Social Justice: Harnessing Equity and Inclusion.- Chapter 5 Exploring the Ethical Dimensions and Societal Consequences of Affective Computing.- Chapter 6 Natural Language Processing for Emotion Recognition and Analysis.- Chapter 7 From Data to Emotions: Affective Computing in Voice Emotion Detection.- Chapter 8 Visual Emotion Recognition Through Affective Computing.- Chapter 9 Affective Computing for Health Management via Recommender Systems: Exploring Challenges and Opportunities.- Chapter 10 Personalized Well-being Interventions (PWIs): A New Frontier in Mental Health.- Chapter 11 Enhancing Affective Computing in NLP through Data Augmentation: Strategies for Overcoming Limited Data Availability.- Chapter 12 Advancements in Multimodal Emotion Recognition: Integrating Facial Expressions and Physiological Signals.- Chapter 13 Ethical Considerations in Affective Computing.- Chapter 14 The Horizon of Consciousness for Affective Computing: Future Trends and Possibilities.

Affective Computing for Social Good

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    Order before 4pm today for delivery by Tue 16 Jun 2026.

    A Hardback by Muskan Garg

    15 in stock


      View other formats and editions of Affective Computing for Social Good by Muskan Garg

      Publisher: Springer
      Publication Date: 08/10/2024
      ISBN13: 9783031638206, 978-3031638206
      ISBN10:
      Also in:
      Computing Artificial intelligence (AI)

      Description

      Book Synopsis

      Chapter 1 The Science of Emotion: Decoding and Analysis of Human Emotional Landscape.- Chapter 2 The Synergy of Clinical Psychology and Affective Computing: Advancements in Emotion Recognition and Therapy.- Chapter 3 Affective Computing in Mood Disorders: Beyond Conventional Diagnostic Tools to Modern Technologies.- Chapter 4 The Role of Affective Computing in Social Justice: Harnessing Equity and Inclusion.- Chapter 5 Exploring the Ethical Dimensions and Societal Consequences of Affective Computing.- Chapter 6 Natural Language Processing for Emotion Recognition and Analysis.- Chapter 7 From Data to Emotions: Affective Computing in Voice Emotion Detection.- Chapter 8 Visual Emotion Recognition Through Affective Computing.- Chapter 9 Affective Computing for Health Management via Recommender Systems: Exploring Challenges and Opportunities.- Chapter 10 Personalized Well-being Interventions (PWIs): A New Frontier in Mental Health.- Chapter 11 Enhancing Affective Computing in NLP through Data Augmentation: Strategies for Overcoming Limited Data Availability.- Chapter 12 Advancements in Multimodal Emotion Recognition: Integrating Facial Expressions and Physiological Signals.- Chapter 13 Ethical Considerations in Affective Computing.- Chapter 14 The Horizon of Consciousness for Affective Computing: Future Trends and Possibilities.

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