株式会社極東書店トップ ＞ 商品一覧 ＞ Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support.
商品詳細
Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support.
・ISBN 978-3-031-71823-6 paper EUR 179.99
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| 著者・編者 | Kyamakya, Kyandoghere / Al Machot, Fadi / Ullah, Habib / Demrozi, Florenc (eds.), |
|---|---|
| シリーズ | (Studies in Computational Intelligence) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2025 |
| ページ数 | 278 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-16933＞ |
解説
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.