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.
Florenc Demrozi & Kyandoghere Kyamakya
Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support [EPUB ebook]
Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support [EPUB ebook]
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Мова Англійська ● Формат EPUB ● ISBN 9783031718212 ● Редактор Florenc Demrozi & Kyandoghere Kyamakya ● Видавець Springer Nature Switzerland ● Опубліковано 2024 ● Завантажувані 3 разів ● Валюта EUR ● Посвідчення особи 10038930 ● Захист від копіювання Adobe DRM
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