Human Behavior Analysis: Sensing and Understanding
暫譯: 人類行為分析：感知與理解
Yu, Zhiwen, Wang, Zhu
- 出版商: Springer
- 出版日期: 2020-03-01
- 售價: $5,640
- 貴賓價: 9.5 折 $5,358
- 語言: 英文
- 頁數: 271
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 9811521085
- ISBN-13: 9789811521089
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商品描述
Over the last decade, there has been a growing interest in human behavior sensing and understanding, motivated by societal needs such as security, natural interfaces, affective computing, and assisted living. However, the accurate and non-invasive detection and recognition of human behavior remain major challenges and the focus of many research efforts.
Traditionally, in order to identify human behavior, it is first necessary to continuously collect the readings of physical sensing devices (e.g., camera, GPS, and RFID), which can be worn on human bodies, attached to objects, or deployed in the environment. Afterwards, using recognition algorithms or classification models, the behavior types can be identified so as to facilitate advanced applications. Although such traditional approaches deliver satisfactory performance and are still widely used, most of them are intrusive and require specific sensing devices, raising issues such as privacy and deployment costs.
In this book, we will present our latest findings on non-invasive human behavior sensing and understanding. Specifically, this book differs from existing literature in the following senses. Firstly, we focus on approaches that are based on non-invasive sensing technologies, including both sensor-based and device-free variants. Secondly, while most existing studies examine individual behaviors, we will systematically elaborate on how to understand human behaviors of various granularities, including not only individual-level but also group-level and community-level behaviors. Lastly, we will discuss the most important scientific problems and open issues involved in human behavior sensing and understanding.
商品描述(中文翻譯)
在過去十年中，對於人類行為感知與理解的興趣日益增長，這是受到社會需求的驅動，例如安全性、自然介面、情感計算和輔助生活。然而，準確且非侵入性的人類行為檢測與識別仍然是主要挑戰，也是許多研究努力的焦點。
傳統上，為了識別人類行為，首先需要持續收集物理感測裝置（例如相機、GPS和RFID）的讀數，這些裝置可以佩戴在人體上、附著在物體上或部署在環境中。然後，使用識別算法或分類模型，可以識別行為類型，以促進先進應用。儘管這些傳統方法提供了令人滿意的性能並且仍然被廣泛使用，但大多數方法都是侵入性的，並且需要特定的感測裝置，這引發了隱私和部署成本等問題。
在本書中，我們將介紹我們在非侵入性人類行為感知與理解方面的最新研究成果。具體而言，本書與現有文獻的不同之處在於以下幾點。首先，我們專注於基於非侵入性感測技術的方法，包括基於感測器和無裝置的變體。其次，雖然大多數現有研究檢視個體行為，但我們將系統性地闡述如何理解各種粒度的人類行為，包括不僅是個體層級，還有群體層級和社區層級的行為。最後，我們將討論人類行為感知與理解中涉及的最重要的科學問題和未解決的議題。
作者簡介
Zhiwen Yu is a Full Professor of Computer Science at Northwestern Polytechnical University, China. He worked as an Alexander Von Humboldt Fellow at Mannheim University, Germany, from November 2009 to October 2010, and as a research fellow at Kyoto University, Japan, from February 2007 to January 2009. His research interests include pervasive computing, context-aware systems, and personalization. He has served as an Associate Editor or Guest Editor for a number of publications, e.g. IEEE Communications Magazine, IEEE THMS, and ACM TIST.
Zhu Wang is an Associate Professor of Computer Science at Northwestern Polytechnical University, China. He received his B.Eng., M.Eng. and Ph.D. degrees in Computer Science and Technology in 2006, 2009, and 2013, respectively, from the same university. From 2010 to 2012, he was a research fellow at the Institute TELECOM SudParis, France. His research interests include pervasive computing, social network analysis, and health informatics.
作者簡介(中文翻譯)
余志文是中國西北工業大學的計算機科學全職教授。他於2009年11月至2010年10月在德國曼海姆大學擔任亞歷山大·馮·洪堡研究員，並於2007年2月至2009年1月在日本京都大學擔任研究員。他的研究興趣包括普適計算、情境感知系統和個性化。他曾擔任多個出版物的副編輯或客座編輯，例如IEEE Communications Magazine、IEEE THMS和ACM TIST。
王竹是中國西北工業大學的計算機科學副教授。他於2006年、2009年和2013年分別在同一所大學獲得計算機科學與技術的學士、碩士和博士學位。從2010年到2012年，他在法國TELECOM SudParis研究所擔任研究員。他的研究興趣包括普適計算、社交網絡分析和健康信息學。
