Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support (Studies in Computational Intelligence, 1175) - Softcover
Synopsis
This book explores integrating machine learning techniques and sensor applications for human emotion and activity recognition, creating personalized and effective support systems. It covers state-of-the-art machine learning techniques and large language models using multimodal sensors. Enhancing the quality of life for individuals with special needs, particularly the elderly, is a key focus in Active and Assisted Living (AAL) research. Unlike other literature, it emphasizes support mechanisms along with recognition, using metamodel integration for adaptable AAL systems. This book offers insights into technologies transforming AAL for researchers, students, and practitioners. It is a valuable resource for developing responsive and personalized support systems that enhance life quality in smart environments. It is also essential for advancing the understanding of machine learning and sensor technologies in AAL and emotion recognition.
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From the Back Cover
This book explores integrating machine learning techniques and sensor applications for human emotion and activity recognition, creating personalized and effective support systems. It covers state-of-the-art machine learning techniques and large language models using multimodal sensors. Enhancing the quality of life for individuals with special needs, particularly the elderly, is a key focus in Active and Assisted Living (AAL) research. Unlike other literature, it emphasizes support mechanisms along with recognition, using metamodel integration for adaptable AAL systems. This book offers insights into technologies transforming AAL for researchers, students, and practitioners. It is a valuable resource for developing responsive and personalized support systems that enhance life quality in smart environments. It is also essential for advancing the understanding of machine learning and sensor technologies in AAL and emotion recognition.
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Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support (eng)
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Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support
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ISBN 10: 3031718232
ISBN 13: 9783031718236
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores integrating machine learning techniques and sensor applications for human emotion and activity recognition, creating personalized and effective support systems. It covers state-of-the-art machine learning techniques and large language models using multimodal sensors. Enhancing the quality of life for individuals with special needs, particularly the elderly, is a key focus in Active and Assisted Living (AAL) research. Unlike other literature, it emphasizes support mechanisms along with recognition, using metamodel integration for adaptable AAL systems. This book offers insights into technologies transforming AAL for researchers, students, and practitioners. It is a valuable resource for developing responsive and personalized support systems that enhance life quality in smart environments. It is also essential for advancing the understanding of machine learning and sensor technologies in AAL and emotion recognition. 296 pp. Englisch. Seller Inventory # 9783031718236
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Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support
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Taschenbuch. Condition: Neu. Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support | Kyandoghere Kyamakya (u. a.) | Taschenbuch | xv | Englisch | 2025 | Springer | EAN 9783031718236 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 134273420
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Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support (Studies in Computational Intelligence, 1175)
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Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support
Published by
Springer, Springer Nov 2025, 2025
ISBN 10: 3031718232
ISBN 13: 9783031718236
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book explores integrating machine learning techniques and sensor applications for human emotion and activity recognition, creating personalized and effective support systems. It covers state-of-the-art machine learning techniques and large language models using multimodal sensors. Enhancing the quality of life for individuals with special needs, particularly the elderly, is a key focus in Active and Assisted Living (AAL) research. Unlike other literature, it emphasizes support mechanisms along with recognition, using metamodel integration for adaptable AAL systems. This book offers insights into technologies transforming AAL for researchers, students, and practitioners. It is a valuable resource for developing responsive and personalized support systems that enhance life quality in smart environments. It is also essential for advancing the understanding of machine learning and sensor technologies in AAL and emotion recognition.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 296 pp. Englisch. Seller Inventory # 9783031718236
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores integrating machine learning techniques and sensor applications for human emotion and activity recognition, creating personalized and effective support systems. It covers state-of-the-art machine learning techniques and large language models using multimodal sensors. Enhancing the quality of life for individuals with special needs, particularly the elderly, is a key focus in Active and Assisted Living (AAL) research. Unlike other literature, it emphasizes support mechanisms along with recognition, using metamodel integration for adaptable AAL systems. This book offers insights into technologies transforming AAL for researchers, students, and practitioners. It is a valuable resource for developing responsive and personalized support systems that enhance life quality in smart environments. It is also essential for advancing the understanding of machine learning and sensor technologies in AAL and emotion recognition. Seller Inventory # 9783031718236
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Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support (Studies in Computational Intelligence, 1175)
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Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support (Studies in Computational Intelligence, 1175)
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