Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support - Brossura

Brossura

ISBN 10: 3031718232 ISBN 13: 9783031718236

Casa editrice: Springer-Verlag GmbH, 2025

Riassunto

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. 

Su questo libro

Dalla quarta di copertina

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. 

Dettagli dell'edizione

• Editore: Springer-Verlag GmbH
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 10: 3031718232
• ISBN 13: 9783031718236
• Rilegatura: Copertina flessibile
• Numero di pagine: 296
• Redattore: Kyamakya Kyandoghere, Al Machot Fadi, Ullah Habib, Demrozi Florenc
• Contatto del produttore: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Germania