Generic and Energy-Efficient Context-Aware Mobile Sensing

Elaborating on the concept of context awareness, this book presents up-to-date research and novel framework designs for context-aware mobile sensing. Generic and Energy-Efficient Context-Aware Mobile Sensing proposes novel context-inferring algorithms and generic framework designs that can help readers enhance existing tradeoffs in mobile sensing, especially between accuracy and power consumption.

The book presents solutions that emphasize must-have system characteristics such as energy efficiency, accuracy, robustness, adaptability, time-invariance, and optimal sensor sensing. Numerous application examples guide readers from fundamental concepts to the implementation of context-aware-related algorithms and frameworks.

Covering theory and practical strategies for context awareness in mobile sensing, the book will help readers develop the modeling and analysis skills required to build futuristic context-aware framework designs for resource-constrained platforms.

• Includes best practices for designing and implementing practical context-aware frameworks in ubiquitous/mobile sensing
• Proposes a lightweight online classification method to detect user-centric postural actions
• Examines mobile device-based battery modeling under the scope of battery nonlinearities with respect to variant loads
• Unveils a novel discrete time inhomogeneous hidden semi-Markov model (DT-IHS-MM)-based generic framework to achieve a better realization of HAR-based mobile context awareness

Supplying theory and equation derivations for all the concepts discussed, the book includes design tips for the implementation of smartphone programming as well as pointers on how to make the best use of MATLAB^® for the presentation of performance analysis. Coverage includes lightweight, online, and unsupervised pattern recognition methods; adaptive, time-variant, and optimal sensory sampling strategies; and energy-efficient, robust, and inhomogeneous context-aware framework designs.

Researchers will learn the latest modeling and analysis research on mobile sensing. Students will gain access to accessible reference material on mobile sensing theory and practice. Engineers will gain authoritative insights into cutting-edge system designs.

本書詳細介紹了上下文感知的概念，並提供了最新的研究和創新的框架設計，用於上下文感知的移動感測。《通用且節能的上下文感知移動感測》提出了新穎的上下文推斷算法和通用框架設計，可以幫助讀者增強移動感測中現有的權衡，特別是在準確性和功耗之間的平衡。

本書提出的解決方案強調了必要的系統特性，如節能、準確性、韌性、適應性、時間不變性和最佳感測器感測。大量的應用示例引導讀者從基本概念到上下文感知相關算法和框架的實現。

本書涵蓋了移動感測中上下文感知的理論和實踐策略，將幫助讀者開發建立資源受限平台的未來導向的上下文感知框架設計所需的建模和分析技能。

• 包括在普遍/移動感測中設計和實現實用上下文感知框架的最佳實踐


• 提出了一種輕量級的在線分類方法，用於檢測以用戶為中心的姿勢動作


• 在變動負載下，以電池非線性為範圍，對基於移動設備的電池建模進行了研究


• 揭示了一種基於離散時間非齊次隱馬爾可夫模型（DT-IHS-MM）的通用框架，以實現基於HAR的移動上下文感知的更好實現

本書提供了所有討論概念的理論和方程式推導，包括智能手機編程的設計技巧，以及如何充分利用MATLAB^®進行性能分析的指南。內容包括輕量級、在線和無監督的模式識別方法；適應性、時間變化和最佳感測採樣策略；以及節能、韌性和非齊次上下文感知框架設計。

研究人員將了解移動感測的最新建模和分析研究。學生將獲得有關移動感測理論和實踐的易於理解的參考資料。工程師將獲得對尖端系統設計的權威見解。