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

By Kyandoghere Kyamakya

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

By Kyandoghere Kyamakya

0 - Default Title
Description
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.
Product details
Binding:
Paperback
Number of Pages:
296
Release Date:
2025-11-09
Publication Date:
2025-11-09
Publisher:
Springer
Languages:
Original: English
ISBN10:
3031718232
ISBN13:
9783031718236
GPSR Manufacturer Reference:
[email protected]
Weight:
506 g
Height:
155 cm
Width:
235 cm
Thickness:
16 cm
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