| 书目名称 | Human Activity Recognition and Behaviour Analysis | | 副标题 | For Cyber-Physical S | | 编辑 | Liming Chen,Chris D.‘Nugent | | 视频video | | | 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, | | 图书封面 |  | | 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 | | 关键词 | Activity Recognition; Behavior Analysis; Pervasive Computing; Cyber-physical Systems; Smart Homes; Intern | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-19408-6 | | isbn_softcover | 978-3-030-19410-9 | | isbn_ebook | 978-3-030-19408-6 | | copyright | Springer Nature Switzerland AG 2019 |
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发表于 2025-3-21 17:06:51
