LEADER 04003nam 22005535 450 001 996465347203316 005 20200701053721.0 010 $a981-15-2109-3 024 7 $a10.1007/978-981-15-2109-6 035 $a(CKB)4100000010480210 035 $a(DE-He213)978-981-15-2109-6 035 $a(MiAaPQ)EBC6126752 035 $a(PPN)242977847 035 $a(EXLCZ)994100000010480210 100 $a20200229d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHuman Behavior Analysis: Sensing and Understanding$b[electronic resource] /$fby Zhiwen Yu, Zhu Wang 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (X, 273 p. 92 illus., 69 illus. in color.) 311 $a981-15-2108-5 327 $a1. Introduction -- 2. Main Steps of Human Behavior Sensing and Understanding -- 3. Sensor-Based Behavior Recognition -- 4. Device-free Behavior Recognition -- 5. Individual Behavior Recognition -- 6. Group Behavior Recognition -- 7. Community Behavior Understanding -- 8. Open Issues and Emerging Trends. 330 $aOver the last decade, there has been a growing interest in human behavior analysis, 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 sensing and understanding of human behavior. 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 analysis. 606 $aApplication software 606 $aData mining 606 $aPersonal computers 606 $aComputer Appl. in Social and Behavioral Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/I23028 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aPersonal Computing$3https://scigraph.springernature.com/ontologies/product-market-codes/I24083 615 0$aApplication software. 615 0$aData mining. 615 0$aPersonal computers. 615 14$aComputer Appl. in Social and Behavioral Sciences. 615 24$aData Mining and Knowledge Discovery. 615 24$aPersonal Computing. 676 $a150 700 $aYu$b Zhiwen$4aut$4http://id.loc.gov/vocabulary/relators/aut$0981964 702 $aWang$b Zhu$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465347203316 996 $aHuman Behavior Analysis: Sensing and Understanding$92241109 997 $aUNISA