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

£159.99

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

Artificial intelligence Machine learning Human–computer interaction

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Collection: Studies in Computational Intelligence

Language: English

Published by: Springer

Published on: 7th November 2024

Format: LCP-protected ePub

ISBN: 9783031718212


Overview

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.

Unique Emphasis

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.

Target Audience and Importance

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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