DR. JIN LEE, MD
Dermatology at Genetic Center Dr, San Diego, CA

2013008, Mar 28, 2013

Sep 26, 2012

13/627823

Vidya Narayanan - San Diego CA, US
Pawel Lukowicz - Hochspeyer, DE
Lukas D. Kuhn - San Diego CA, US
Jin Won Lee - San Diego CA, US
Sanjiv Nanda - Ramona CA, US

G06F 17/30

707758, 707E17009

One or more mobile devices make measurements while moving along a path. Each measurement may comprise a specific group of identifiers of wireless transmitters, and strengths of corresponding wireless signals. A set of measurements are made in a sequence along a path, and the subsets of the measurements are identified for satisfying a test on a value of a measure of similarity of measurements included in the subset. A new place of relevance is identified, by comparing the just-described subsets of the measurements with similar subsets of additional measurements (e.g. by clustering). Alternatively, a known place of relevance (e.g. having a label) is identified, by comparing the just-described subsets of the measurements with pre-computed model of measurements. Also, the just-described subsets of the measurements may be compared with corresponding subsets of measurements of another path, e.g. to identify common portions therein.

2013029, Nov 7, 2013

Mar 13, 2013

13/799442

Vidya Narayanan - San Diego CA, US
Jin Won Lee - San Diego CA, US

QUALCOMM Incorporated - San Diego CA

H04W 4/02

4554561

Methods, systems, computer-readable media, and apparatuses for calendar matching of inferred contexts are described. In one potential embodiment, a mobile device may use context information to generate a calendar of inferred contexts. Label information from raw calendar data may be used to update an inferred context within a calendar of inferred contexts. Additionally, the label may be propagated to future contexts and entries in an inferred context calendar.

2013029, Nov 7, 2013

Mar 13, 2013

13/799337

Vidya Narayanan - San Diego CA, US
Jin Won Lee - San Diego CA, US
Lukas D. Kuhn - San Diego CA, US
Leonard Henry Grokop - San Diego CA, US
Shankar Sadasivam - San Diego CA, US
Alexandros Manolakos - Stanford CA, US

G06N 5/02

706 46

Methods, systems, computer-readable media, and apparatuses for inferring context are provided. In one potential implementation, first context information associated with a first duration is identified, second context information is accessed to determine a context segmentation boundary; and the first context information and the second context information is then aggregated to generate an inferred segmented aggregated context. In a further implementation, the first context information is used to average inferred contexts, and the context segmentation boundary is used to reset a start time for averaging the first context information.