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商品詳細
Deep Learning and Signal-Processing Methods for Multisensor Data Fusion: Applications to Ambulatory Health Monitoring.
・ISBN 978-3-031-96723-8 hard EUR 119.99
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| 著者・編者 | John, Arlene / Cardiff, Barry / John, Deepu, |
|---|---|
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2026 |
| ページ数 | 244 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A04-52246＞ |
解説
This book focuses on the development of multisensor fusion algorithms for wearable devices that are useful in ambulatory health monitoring using signal-processing and deep learning-based methods. The algorithms described account for the signal quality prior to fusion, in order to enable reliable inferences without contributing to additional computational overhead. The content discussed is beneficial in the broad application of multisensor fusion, as the algorithms developed or discussed in the final chapters are generalized cases of the methods developed in the initial chapters, offering relevance to the broader multisensor fusion community.
- Provides a single-source reference to the development of fusion methods and analysis of fusion algorithms
- Treats fusion as a signal-processing-based problem, applied to a wide variety of fusion applications
- Describes a step-by-step methodology for development of a generalized fusion algorithm for any application