| 书目名称 | Smartphone-Based Human Activity Recognition | | 编辑 | Jorge Luis Reyes Ortiz | | 视频video | | | 概述 | Nominated as an outstanding PhD theses by the University of Genoa.Thesis jointly supervised by the Universitat Politècnica de Catalunya and University of Genoa.Proposes a method for performing real-ti | | 丛书名称 | Springer Theses | | 图书封面 |  | | 描述 | .The book reports on the author’s original work to address the use of today’s state-of-the-art smartphones for human physical activity recognition. By exploiting the sensing, computing and communication capabilities currently available in these devices, the author developed a novel smartphone-based activity-recognition system, which takes into consideration all aspects of online human activity recognition, from experimental data collection, to machine learning algorithms and hardware implementation. The book also discusses and describes solutions to some of the challenges that arose during the development of this approach, such as real-time operation, high accuracy, low battery consumption and unobtrusiveness. It clearly shows that it is possible to perform real-time recognition of activities with high accuracy using current smartphone technologies. As well as a detailed description of the methods, this book also provides readers with a comprehensive review of the fundamental concepts in human activity recognition. It also gives an accurate analysis of the most influential works in the field and discusses them in detail. This thesis was supervised by both the Universitat Politècnic | | 出版日期 | Book 2015 | | 关键词 | Body Motion Detection; HAR; Motion Signals; Online Activity Recognition; Real-time Human Activity Recogn | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-14274-6 | | isbn_softcover | 978-3-319-36770-5 | | isbn_ebook | 978-3-319-14274-6Series ISSN 2190-5053 Series E-ISSN 2190-5061 | | issn_series | 2190-5053 | | copyright | Springer International Publishing Switzerland 2015 |
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发表于 2025-3-21 19:14:20
