| 书目名称 | Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity R | | 编辑 | Kyandoghere Kyamakya,Fadi Al Machot,Florenc Demroz | | 视频video | | | 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 | | 丛书名称 | Studies in Computational Intelligence | | 图书封面 |  | | 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 | | 关键词 | Computational Intellligence; Active and Assisted Living (AAL); Hidden Markov Models; Bayesian Networks; | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-71821-2 | | isbn_softcover | 978-3-031-71823-6 | | isbn_ebook | 978-3-031-71821-2Series ISSN 1860-949X Series E-ISSN 1860-9503 | | issn_series | 1860-949X | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 17:11:19
