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Titlebook: Human Activity Recognition and Behaviour Analysis; For Cyber-Physical S Liming Chen,Chris D.‘Nugent Book 2019 Springer Nature Switzerland A

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發(fā)表于 2025-3-21 17:06:51 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Human Activity Recognition and Behaviour Analysis
副標(biāo)題For Cyber-Physical S
編輯Liming Chen,Chris D.‘Nugent
視頻videohttp://file.papertrans.cn/429/428927/428927.mp4
概述Provides a comprehensive and systematic introduction to activity recognition.Presents an in-depth discussion on the knowledge-driven approach to activity recognition.Proposes a systematic methodology,
圖書封面Titlebook: Human Activity Recognition and Behaviour Analysis; For Cyber-Physical S Liming Chen,Chris D.‘Nugent Book 2019 Springer Nature Switzerland A
描述.The book first defines the problems, various concepts and notions related to activity recognition, and introduces the fundamental rationale and state-of-the-art methodologies and approaches. It then describes the use of artificial intelligence techniques and advanced knowledge technologies for the modelling and lifecycle analysis of human activities and behaviours based on real-time sensing observations from sensor networks and the Internet of Things. It also covers inference and decision-support methods and mechanisms, as well as personalization and adaptation techniques, which are required for emerging smart human-machine pervasive systems, such as self-management and assistive technologies in smart healthcare. Each chapter includes theoretical background, technological underpinnings and practical implementation, and step-by-step information on how to address and solve specific problems in topical areas..This monograph can be used as a textbook for postgraduate and PhD students on courses such as computer systems, pervasive computing, data analytics and digital health. It is also a valuable research reference resource for postdoctoral candidates and academics in relevant researc
出版日期Book 2019
關(guān)鍵詞Activity Recognition; Behavior Analysis; Pervasive Computing; Cyber-physical Systems; Smart Homes; Intern
版次1
doihttps://doi.org/10.1007/978-3-030-19408-6
isbn_softcover978-3-030-19410-9
isbn_ebook978-3-030-19408-6
copyrightSpringer Nature Switzerland AG 2019
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沙發(fā)
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發(fā)表于 2025-3-22 04:20:47 | 只看該作者
https://doi.org/10.1007/978-3-030-19408-6Activity Recognition; Behavior Analysis; Pervasive Computing; Cyber-physical Systems; Smart Homes; Intern
地板
發(fā)表于 2025-3-22 06:34:13 | 只看該作者
978-3-030-19410-9Springer Nature Switzerland AG 2019
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發(fā)表于 2025-3-22 11:03:14 | 只看該作者
Introduction,research trends and directions for computational behaviour analysis. It first introduces the background and context of this book, and the basic concepts and terms used in the discussion of activity recognition in the book. It then provides a high-level review on dominant approaches and methods that
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發(fā)表于 2025-3-22 13:16:28 | 只看該作者
Sensor-Based Activity Recognition Review,neral rationale and distinctions of different sensor technologies for activity monitoring. Then we review the major approaches and methods associated with sensor-based activity modeling and recognition from which strengths and weaknesses of those approaches are analysed and highlighted. The survey m
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發(fā)表于 2025-3-22 18:18:01 | 只看該作者
An Ontology-Based Approach to Activity Recognition,n the context of assisted living within smart homes. It first presents a generic system architecture for the proposed knowledge-driven approach and its underlying ontology-based activity recognition process. It then analyses the characteristics of smart homes and Activities of Daily Living (ADL) upo
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發(fā)表于 2025-3-22 23:29:12 | 只看該作者
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發(fā)表于 2025-3-23 04:31:49 | 只看該作者
Time-Window Based Data Segmentation, segmentation model, based on the notion of varied time windows, which can shrink and expand the segmentation window size by using temporal information of sensor data and activities as well as the state of activity recognition. The chapter first analyses the characteristics of activities of daily li
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發(fā)表于 2025-3-23 08:58:47 | 只看該作者
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