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Produced by تهيه كننده : Microsoft Research
Date تاريخ : 2006-05-17
Location-Based Activity Recognitiondownload دانلود ,ويدئو و اسلايد Video & Slide , از گروه Computer Sience & Engineering كامپيوتر و مهندسی كتابخانه اينترنتي دانش گستران جوان You Research Description توضيح : Knowledge of a person's location provides important context information for many applications, ranging from services such as E911 to personal guidance systems that help cognitively-impaired individuals move safely through their community. Location information is also extremely helpful for estimating a person's high-level activities. In this talk we show how Bayesian filtering and conditional random fields can be applied to estimate the location and activity of a person using sensors such as GPS or WiFi. The techniques track a person on graph structures that represent a street map or a skeleton of the free space in a building. We also show how to learn a user's significant places and daily movements through the community. Our models use multiple levels of abstraction so as to bridge the gap between raw GPS measurements and high level information such as a user's mode of transportation, her current goal, and her significant places (e.g. home or work place). Finally, we will discuss recent work on using a multi-sensor board so as to better estimate a person's activities.
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Location-Based Activity Recognitiondownload دانلود ,ويدئو و اسلايد Video & Slide , از گروه Computer Sience & Engineering كامپيوتر و مهندسی كتابخانه اينترنتي دانش گستران جوان You Research Speaker(s) اجرا : Dieter Fox, associate professor and director, Robotics and State Estimation Lab, Computer Science & Engineering Department, University of Washington
Runtime مدت زمان : 01:11:27
Video Size حجم ويدئو : 157 MB
Number of Slides تعداد اسلايد‌ها : 118 (11 MB)
Location-Based Activity Recognitiondownload دانلود ,ويدئو و اسلايد Video & Slide , از گروه Computer Sience & Engineering كامپيوتر و مهندسی كتابخانه اينترنتي دانش گستران جوان You Research
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