Activity classification from route and sensor-based metadata

Data processing: measuring – calibrating – or testing – Measurement system – Orientation or position

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C600S595000, C707S793000

Reexamination Certificate

active

07668691

ABSTRACT:
Systems and methods that infer and classify user activity based in part on routing data. A storage medium can store raw data collected, and such acquired data can be subsequently be analyzed or distilled to generate abstract qualities about the raw data (e.g., velocity of user during route, level of difficulty, and the like). Various machine learning techniques, artificial intelligence methodologies, decision trees, and/or statistical methods can be employed to supply inference regarding the acquired raw data and/or the abstract qualities.

REFERENCES:
patent: 6522266 (2003-02-01), Soehren et al.
patent: 6716101 (2004-04-01), Meadows et al.
patent: 7099921 (2006-08-01), Engstrom et al.
patent: 7243134 (2007-07-01), Bruner et al.
patent: 2004/0172403 (2004-09-01), Steele et al.
patent: 2004/0252027 (2004-12-01), Torkkola et al.
patent: 2005/0033200 (2005-02-01), Soehren et al.
patent: 2005/0256635 (2005-11-01), Gardner et al.
patent: 2007/0010720 (2007-01-01), Mott
Motionbased Technologies. MotionBased Launches GPS Performance Tracking for Athletes. Aug. 4, 2004. http://www.motionbased.com/info/about/press/pdf/Aug2004.pdf.
Stephen Marshall, et al. Mapping children's places and activities: Analysis of the local area around a primary school. http://www.casa.ucl.ac.uk/capableproject/download/UWE—marshall.pdf. Last accessed May 8, 2007.
Lin Liao, et al. Building Personal Maps from GPS Data. http://www.isi.edu/˜pynadath/MOO-2005/8.pdf. Last accessed May 8, 2007.
Lin Liao, et al. Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields. http://www.cs.washington.edu/ai/Mobile—Robotics/postscripts/places-ijrr-07.pdf. Last accessed May 8, 2007.
Lin Liao, et al. Location-based Activity Recognition. http://www.cs.washington.edu/homes/liaolin/Research
ips2005.pdf. Last accessed May 8, 2007.
Natalia Marmasse, et al. WatchMe: communication and awareness between members of a closely-knit group. http://ttt.media.mit.edu/researchWM—ubi04.pdf. Last accessed May 8, 2007.
Ling Bao. Physical Activity Recognition from Acceleration Data under Semi-Naturalistic Conditions. Aug. 2003. http://architecture.mit.edu/house—n/documents/Bao03.pdf.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Activity classification from route and sensor-based metadata does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Activity classification from route and sensor-based metadata, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Activity classification from route and sensor-based metadata will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-4232322

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.