附註:Includes bibliographical references and index.
Chapter 1. Introduction to emotion detection and predictive psychology in the age of technology -- Chapter 2. Unraveling the world of artificial emotional intelligence -- Chapter 3. Ethical considerations in emotion data collection and IoT integration -- Chapter 4. Bridging the gap: emotional intelligence, AEI, and predicting human behavior -- Chapter 5. Predictive pioneers: bridging the mental health gap in older adults through advanced digital technologies -- Chapter 6. Designing LSTM networks for emotion modelling -- Chapter 7. Pattern analysis for feature extraction in complex images -- Chapter 8. Decoding the human canvas: unraveling emotions through advanced facial profiling -- Chapter 9. Mental health in messages: unravelling emotional patterns through advanced text analysis -- Chapter 10. Detection of posture using MS-IoT-based solution to provide timely treatment -- Chapter 11. Exploring the utility of emotion recognition systemsin healthcare.
摘要:"In the realm of analyzing human emotions through Artificial Intelligence (AI), a myriad of challenges persist. From the intricate nuances of emotional subtleties to the broader concerns of ethical considerations, privacy implications, and the ongoing battle against bias, AI faces a complex landscape when venturing into the understanding of human emotions. These challenges underscore the intricate balance required to navigate the human psyche with accuracy.The book, Using Machine Learning to Detect Emotions and Predict Human Psychology, serves as a guide for innovative solutions in the field of emotion detection through AI. It explores facial expression analysis, where AI decodes real-time emotions through subtle cues such as eyebrow movements and micro-expressions. In speech and voice analysis, the book unveils how AI processes vocal nuances to discern emotions, considering elements like tone, pitch, and language intricacies. Additionally, the power of text analysis is of great importance, revealing how AI extracts emotional tones from diverse textual communications. By weaving these systems together, the book offers a holistic solution to the challenges faced by AI in understanding the complex landscape of human emotions."--
