报告题目：WiFiSignal Based Human Activity Recognition

报告时间：2015年10月15日上午 10点

报告地点：华中科技大学南一楼中302

报告人：刘向阳（Alex X.Liu）

报告摘要:

Human activity recognition is the core technology that enables a widevariety of applications such as health care, smart homes, fitness tracking, andbuilding surveillance. We recognize human activities using signals fromcommercial WiFi devices. Human bodies reflect wireless signals as they aremostly made of water. Different human activities cause different changes onwireless signals. Thus, by analyzing the changes in wireless signals, we canrecognize the corresponding human activities that cause the changes. Weclassify human activities into macro activities, which involve mostly arm, leg,or body scale movements, and micro activities, which involve mostly finger orhand scale movements. Human activity recognition and monitoring is the enablingtechnology for various applications such as elderly/health care, buildingsurveillance, human-computer interaction, health care, smart homes, and fitnesstracking.

人类活动识别是多种应用，如卫生保健、智能家居、健身跟踪和建设监控的核心技术。我们通过使用商业 WiFi 设备中的信号来识别人类活动。人类的身体会反射无线信号，因为其主要由水组成。不同的人类活动对无线信号会引起不同的变化。因此，通过分析无线信号的变化，我们可以认识到相应的人类活动引起的信号的变化。我们将人类活动分为宏观活动（主要指胳膊、腿或身体这样尺度的运动）和微观的活动（主要涉及手指或手这样尺度的运动）。人类活动识别和监测是老人/健康保健，建筑物监控、人机交互、卫生保健、智能家居和健身跟踪等各种应用的技术扶持。

报告人简介 Bio:

Alex X. Liureceived his Ph.D. degree in Computer Science from The University of Texas atAustin in 2006. He received the IEEE & IFIP William C. Carter Award in2004, the National Science Foundation CAREER Award in 2009, and the MichiganState University Withrow Distinguished Scholar Award in 2011. His specialresearch interests are in networking, security, and privacy. His generalresearch interests include computer systems, distributed computing, anddependable systems.

刘向阳（Alex X.Liu）教授2006年博士毕业于美国德州大学奥斯丁分校计算机科学系。曾获美国国家自然科学基金颁发的杰出青年教授奖(Career Award)，美国电气和电子工程师协会(IEEE)和国际信息处理联合会(IFIP)联合颁发的 William C. Carter奖，美国密西根州立大学颁发的杰出学者奖(Withrow Distinguished Scholar Award)。主要从事网络、安全及隐私保护的研究工作。