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Titlebook: Smartphone-Based Human Activity Recognition; Jorge Luis Reyes Ortiz Book 2015 Springer International Publishing Switzerland 2015 Body Moti

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發(fā)表于 2025-3-21 19:14:20 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Smartphone-Based Human Activity Recognition
編輯Jorge Luis Reyes Ortiz
視頻videohttp://file.papertrans.cn/870/869119/869119.mp4
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
叢書名稱Springer Theses
圖書封面Titlebook: Smartphone-Based Human Activity Recognition;  Jorge Luis Reyes Ortiz Book 2015 Springer International Publishing Switzerland 2015 Body Moti
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
關(guān)鍵詞Body Motion Detection; HAR; Motion Signals; Online Activity Recognition; Real-time Human Activity Recogn
版次1
doihttps://doi.org/10.1007/978-3-319-14274-6
isbn_softcover978-3-319-36770-5
isbn_ebook978-3-319-14274-6Series ISSN 2190-5053 Series E-ISSN 2190-5061
issn_series 2190-5053
copyrightSpringer International Publishing Switzerland 2015
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發(fā)表于 2025-3-21 21:44:00 | 只看該作者
Hardware-Friendly Activity Recognition with Fixed-Point ArithmeticExploiting SVM models for HAR on smartphones requires a multitude of operations to be carried out per second: despite not being an issue from a theoretical point of view, this could lead to battery discharge after few hours of continuous operation, making this approach unfeasible to allow people’s mobility.
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發(fā)表于 2025-3-22 01:09:59 | 只看該作者
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發(fā)表于 2025-3-22 05:38:52 | 只看該作者
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發(fā)表于 2025-3-22 12:44:42 | 只看該作者
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發(fā)表于 2025-3-22 14:55:53 | 只看該作者
Smartphone-Based Human Activity Recognition978-3-319-14274-6Series ISSN 2190-5053 Series E-ISSN 2190-5061
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發(fā)表于 2025-3-22 20:26:40 | 只看該作者
Backgroundour research problem. These areas are divided in two groups: regarding our framework context (Ambient Intelli-gence (AmI), Ambient Assisted Living (AAL)) and implementation mechanisms (sensors, smartphones and ML with emphasis on svms).
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發(fā)表于 2025-3-22 22:32:13 | 只看該作者
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發(fā)表于 2025-3-23 04:34:34 | 只看該作者
Human Activity Dataset Generation as smart phone selection, trials with volunteers, signal conditioning and feature selection. It also describes the procedures concerning the dataset validation; internally through experimentation and externally via a HAR contest in which other research groups were encouraged to propose novel solutions to the recognition problem.
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發(fā)表于 2025-3-23 07:46:04 | 只看該作者
Springer Theseshttp://image.papertrans.cn/s/image/869119.jpg
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