Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support
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Beschreibung
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.
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.
Focuses on Active and Assisted Living (AAL), which aims to support people to improve their quality of life Covers context modeling, human activity recognition, human emotion recognition, human support, and sensors’ technology Provides a comprehensive coverage of different research areas
Autor*in
Kyandoghere Kyamakya
Themen in »Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support«
Computational Intellligence Active and Assisted Living (AAL) Hidden Markov Models Bayesian Networks Syntactical Models Logic-based Reasoning Classical Machine Learning Deep Learning Smart Environments Human Actions Recognition Human Complex Activities Recognition Human Emotion Recognition Physiological Sensors Semi-intrusive Sensors Non-intrusive Sensors