Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support (Studies in Computational Intelligence, 1175) - Hardcover

Hardcover

ISBN 10: 3031718208 ISBN 13: 9783031718205

Publisher: Springer, 2024

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. 

About this title

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. 

Edition details

• Publisher: Springer
• Publication date: 2024
• Language: English
• ISBN 10: 3031718208
• ISBN 13: 9783031718205
• Binding: Hardcover
• Number of pages: 293
• Editor: Kyamakya Kyandoghere, Al Machot Fadi, Ullah Habib, Demrozi Florenc