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

By: Kyandoghere Kyamakya and Fadi Al Machot and Habib Ullah and Florenc Demrozi

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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.

Book Quality:: Publisher Quality
ISBN-13:: 9783031718212
Related ISBNs:: 9783031718205
Publisher:: Springer Nature Switzerland
Date of Addition:: 12/09/24
Copyrighted By:: The Editor
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Computers and Internet, Technology, Mathematics and Statistics, Sociology
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Kyandoghere Kyamakya
Edited by:: Fadi Al Machot
Edited by:: Habib Ullah
Edited by:: Florenc Demrozi