PPT-Deep sensing with wearable devices

Valentin Radu 26 May 2016 3DT 3DT Data Science Robotics Pervasive Parallelism My research 2 3 Wearables Smartphones Smartwatches Context sensing Indoor position Activity recognition. An Introduction and Survey of Applications. Objectives. Description of theory. Discussion of important results. Study of relevant applications. Introduction to the Problem. CS is a new paradigm that makes possible fast acquisition of data using few number of samples. IT530, Lecture Notes. Outline of the Lectures. Review of Shannon’s sampling theorem. Compressive Sensing: Overview of theory and key results. Practical Compressive Sensing Systems. Proof of one of the key results. Timothy W. Hnat. , Vijay . Shrinivasan. , . Jiakang. Lu, . Tamim. I. . Sookoor. , Raymond Dawson, John . Stankovic. , and . Kamin. Whitehouse. 1. Sensing in Homes. 2. Medical. Monitoring. Home. Automation. Team #3 . : Team Topic Presentation. DCS861A . Emerging Information Technologies . II. S.Feddock. , J. Flynn, M. Kirchhoff, N. . Nassar. , J. . Sicuranza. Content. 1.0 Objectives. 2. .0 Wearable Devices Definition and Types. University of Bridgeport. Department of Computer Science and Engineering. Robotics, Intelligent Sensing and Control. RISC Laboratory. Faculty, Staff and Students. Faculty: Prof. Tarek Sobh. Staff:. Lab Manager: Abdelshakour Abuzneid. An Introduction and Survey of Applications. Objectives. Description of theory. Discussion of important results. Study of relevant applications. Introduction to the Problem. CS is a new paradigm that makes possible fast acquisition of data using few number of samples. Name: . Nandhini. B N. USN: 4gw09cs406 . Guide:. Contents. Introduction. . Need for a wearable biosensor. What is Wearable Biosensor. Components of a Biosensor. Ring Sensor. Smart Shirt. Key Legal Implications. Olivera Medenica. Medenica Law PLLC. 3 Columbus Circle, 15. th. Fl.. New York, NY 10019. Tel: (212) 785-0070. Email: Omedenica@Medenicalaw.com. Rapid Explosion of New Technology. Qiuxi. Zhu. Mobile sensing and data . collection . –. Background. IoT . systems depend heavily on network infrastructure, which is not uniformly and continuously accessible.. Providing complete coverage by blanketing the entire region with sensors is costly, and difficult in certain regions and terrains.. 2. INTRODUCTION. Background. A wearable medical device may be defined as a biosensor that monitors physiological data, usually with a remote/wireless communication, and as a part of any wearable item that is attached to the body. . JYOTI RANA. Reg.N0:0801307165. Branch: It. AGENDA:. What is Wearable Computers?. About?. History. Operational Modes. Attributes. Operational Details. Applications. Disadvantages. IBM’S New PC. What . Nicholas D. . Lane. Emiliano. . Miluzzo. Hong Lu. Daniel Peebles. Tanzeem. . Choudhury. - Assistant Professor. Andrew . T. . Campbell - Professor. Mobile Sensing . Group, Dartmouth . College. September 2010. Corresponding author (phil.teillet@ccrs.nrcan.gc.ca). 1. INTRODUCTION Over the next few years, the nature of remote and in situsensing and their relationship with the Internet will change drastically Jian. . Xu. ,. . Qingqing. . Cao,. . Aditya. . Prakash,. . Aruna. . Balasubramanian. ,. . Donald. . E.. . Porter. Lab. Wearable. . devices . are. . becoming. . a. . major. . growth. .