| 書目名稱 | Human Activity Sensing |
| 副標(biāo)題 | Corpus and Applicati |
| 編輯 | Nobuo Kawaguchi,Nobuhiko Nishio,Kristof Van Laerho |
| 視頻video | http://file.papertrans.cn/429/428929/428929.mp4 |
| 概述 | The first collection of best practices and methodologies for activity recognition, by some of the most experienced activity recognition experts.A community-based approach to assemble study results and |
| 叢書名稱 | Springer Series in Adaptive Environments |
| 圖書封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2019 |
| 關(guān)鍵詞 | Activity Recognition; Benchmark Datasets; Wearable Computing; Wearable Sensing; Inertial Measurement |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-13001-5 |
| isbn_softcover | 978-3-030-13003-9 |
| isbn_ebook | 978-3-030-13001-5Series ISSN 2522-5529 Series E-ISSN 2522-5537 |
| issn_series | 2522-5529 |
| copyright | Springer Nature Switzerland AG 2019 |
|Archiver|手機(jī)版|小黑屋|
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