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Titlebook: Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity R; Kyandoghere Kyamakya,Fadi Al Machot,

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發(fā)表于 2025-3-21 17:11:19 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity R
編輯Kyandoghere Kyamakya,Fadi Al Machot,Florenc Demroz
視頻videohttp://file.papertrans.cn/833/832612/832612.mp4
概述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 suppor
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity R;  Kyandoghere Kyamakya,Fadi Al Machot,
描述.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.?.
出版日期Book 2024
關(guān)鍵詞Computational Intellligence; Active and Assisted Living (AAL); Hidden Markov Models; Bayesian Networks;
版次1
doihttps://doi.org/10.1007/978-3-031-71821-2
isbn_softcover978-3-031-71823-6
isbn_ebook978-3-031-71821-2Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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發(fā)表于 2025-3-21 20:45:52 | 只看該作者
Book 2024and 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 ot
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發(fā)表于 2025-3-22 00:53:01 | 只看該作者
1860-949X ctivity recognition, human emotion recognition, human suppor.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
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Studies in Computational Intelligencehttp://image.papertrans.cn/r/image/832612.jpg
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發(fā)表于 2025-3-22 11:53:39 | 只看該作者
https://doi.org/10.1007/978-3-031-71821-2Computational Intellligence; Active and Assisted Living (AAL); Hidden Markov Models; Bayesian Networks;
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Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity R
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