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Human Activity Sensing: Corpus and Applications. 2019 ed.
・ISBN 978-3-030-13003-9 paper EUR 99.99
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| 著者・編者 | Kawaguchi, Nobuo / Nishio, Nobuhiko / Roggen, Daniel / Inoue, Sozo / Pirttikangas, Susanna / Van Laerhoven, Kristof (eds.), |
|---|---|
| シリーズ | (Springer Series in Adaptive Environments) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2020 |
| ページ数 | 250 pp. |
| 言語 | ENG |
| ニュース番号 | <A02-66431> |
解説
Activity recognition has emerged as a challenging and high-impact research field, as over the past years smaller and more powerful sensors have been introduced in wide-spread consumer devices. Validation of techniques and algorithms requires large-scale human activity corpuses and improved methods to recognize activities and the contexts in which they occur.
This book deals with the challenges of designing valid and reproducible experiments, running large-scale dataset collection campaigns, designing activity and context recognition methods that are robust and adaptive, and evaluating activity recognition systems in the real world with real users.