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SUMMARY:The Quest for Zero-Effort Indoor Localization - Venkat Padmanabhan
  (MSR)
DTSTART:20120607T100000Z
DTEND:20120607T110000Z
UID:TALK38305@talks.cam.ac.uk
CONTACT:Eiko Yoneki
DESCRIPTION:WiFi-based indoor localization has emerged as perhaps the most
  promising approach to indoor localization because it holds the possibilit
 y of  pretty good localization at a low cost\, by leveraging the near-ubiq
 uitous coverage of WiFi in indoor spaces of interest such as office buildi
 ngs and malls. However\, widespread deployment has been stymied by the nee
 d for significant calibration effort.\n\nIn this talk\, I will trace throu
 gh our research at MSR\, moving towards the goal of zero-effort indoor loc
 alization. I will start with the Radar system\, which pioneered the idea o
 f piggybacking on an existing RF-based wireless LAN to perform indoor loca
 lization. Radar introduced two approaches to indoor localization: (a) RF f
 ingerprinting through empirical measurements made at known locations\, and
  (b) RF computation using mathematical modeling. While these techniques of
 fer good localization accuracy and there has been much follow-on work on f
 urther improving accuracy\, making empirical measurements in a new environ
 ment is expensive and customizing the mathematical model to such an enviro
 nment is challenging. To overcome these difficulties\, we advocate a crowd
 sourcing-based approach\, wherein smartphones carried by users in normal c
 ourse are used to make measurements and construct models\, without any exp
 licit effort on the part of users. The key is to use the radios and sensor
 s on these smartphones\, such as WiFi\, GPS\, accelerometer\, and compass\
 , in unison to (i) track users and thereby enable empirical measurement of
  training data\, using a system called Zee\, and (ii) construct an RF mode
 l with patchy information\, using a system called EZ.\n\n[EZ is joint work
  with Krishna Chintalapudi and Anand Iyer\, and Zee with Krishna\, Anshul 
 Rai\, and Riju Sen.]\n\nBio:Venkat Padmanabhan is a Principal Researcher a
 nd Research Manager at Microsoft Research India in Bangalore\, where he fo
 unded and now leads the Mobility\, Networks\, and Systems group. Venkat wa
 s previously with Microsoft Research Redmond for almost 9 years. His resea
 rch interests are broadly in networked and mobile systems\, and his curren
 t/recent work is/has been on indoor localization\, efficient mobile commun
 ication\, network diagnostics\, and green computing. He is serving as prog
 ram co-chair for ACM Sigcomm 2012\, and has served as an affiliate faculty
  member at the University of Washington\, where he has taught and served o
 n student thesis committees. Venkat holds a B.Tech. from IIT Delhi and an 
 M.S. and a Ph.D. from UC Berkeley\, all in Computer Science. He is a Fello
 w of the IEEE and a Distinguished Scientist of the ACM. He can be reached 
 on the web athttp://research.microsoft.com/~padmanab/.\n
LOCATION:FW26\, Computer Laboratory\, William Gates Builiding
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