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SUMMARY:(Research) Energy-Efficient Location Tracking with Mobile Phones /
  (Research) Towards accurate dead-reckoning using optical sensors - Mattia
 s Linnap and Agata Brajdic
DTSTART:20100601T130000Z
DTEND:20100601T140000Z
UID:TALK23802@talks.cam.ac.uk
CONTACT:Andrew Rice
DESCRIPTION:Energy-Efficient Location Tracking with Mobile Phones\, Mattia
 s Linnap\n\n\nMany recent context-aware systems use mobile phones with a G
 PS sensor to track a person's location. However\, because of high power de
 mands of the GPS sensor and wireless communication\, these systems update 
 a person's position infrequently\, or rely on the user to trigger\npositio
 n updates at meaningful places. An ubiquitous location tracker systems sho
 uld be able to continuously track and update a person's movement without i
 nteractive hints from the user\, be accurate enough for the context-aware 
 applications\, and consume only a small fraction of mobile phone's power. 
 A model-based sensing approach will let the context-aware application set 
 required accuracy bounds and minimise the energy used to fulfil them. I wi
 ll present results of an experiment that compares model-based location tra
 cking ideas in the\nliterature\, and the need and directions for further r
 esearch.\n\nTowards accurate dead-reckoning using optical sensors\, Agata 
 Brajdic\n\nThe goal of this talk is to present findings about using optica
 l sensors as a basis for indoor object localization and tracking. An optic
 al sensor provides information about object's movements in two directions.
  In order to calculate both object's displacement and orientation\, (at le
 ast) two sensors need to be employed. Important is also the choice of the 
 lens that is placed in front of the sensor's CCD. I will present and discu
 ss results obtained with experimental setup based on ADNS-2610 optical sen
 sors\, which forms the hardware ground for my PhD work on localization and
  tracking of multiple objects. The talk will be structured as an overview 
 of my first year PhD report.
LOCATION:SS03\, William Gates Building
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