| 书目名称 | Human Activity Sensing |
| 副标题 | Corpus and Applicati |
| 编辑 | Nobuo Kawaguchi,Nobuhiko Nishio,Kristof Van Laerho |
| 视频video | |
| 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 |
| 丛书名称 | Springer Series in Adaptive Environments |
| 图书封面 |  |
| 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 |
| 关键词 | 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 |
发表于 2025-3-21 16:51:11
