Creating Context Slices of a Storyline from Mobile Device Data
Inactive Publication Date: 2014-01-30
VULCAN TECH
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- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Benefits of technology
The patent describes a technology called slicing that helps refine data collected from multiple sources to create a consistent narrative. Slicing involves categorizing data, identifying patterns in the data, and resolving any inconsistencies or gaps in the data. The technology can be used to make better sense of data from connected devices and sensors, improving the accuracy and precision of data analysis.
Problems solved by technology
However, there are a number of obstacles to building useful applications on top of the kinds of data streams currently available.
First, these data streams are noisy, imprecise, and sometimes unavailable.
Global Positioning System (GPS) technology, for example, can be confused by surrounding buildings or other features and is not available indoors.
WiFi triangulation is error-prone and also unavailable in the absence of nearby WiFi networks.
Second, sensor readings such as taking satellite or radio readings can cause a significant drain on the device's battery, so they must be done sparingly.
Naturally, this increases the uncertainty in the data, with large gaps from one reading to the next.
Third, location data in the form of latitude / longitude readings has no semantic content and is useless for many applications.
Because of the noisy nature of the data, translating lat / long into addresses or named locations is difficult, especially in the dense urban areas where most users live.
Method used
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Embodiment Construction
[0022]Embodiments of the invention enable the creation and labeling of context slices from observation data that together define a storyline of a user's movements. A context is a (possibly partial) specification of what a user was doing in the dimensions of time, place, and activity. Contexts can vary in their specificity, their semantic content, and their likelihood. A storyline is composed of a time-ordered sequence of contexts that partition a given span of time. A storyline is created through a process of data collection, slicing and labeling. Raw context data can be collected from a variety of observation sources with various error characteristics. Slicing refines the chaotic collection of contexts produced by data collection into a single consistent storyline composed of a sequence of contexts representing homogeneous time intervals. Labeling adds more specific and semantically meaningful data (e.g., geography, venue, activity) to the storyline produced by slicing. Accordingly...
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Embodiments create and label context slices from observation data that together define a storyline of a user's movements. A context is a (possibly partial) specification of what a user was doing in the dimensions of time, place, and activity. Contexts can vary in their specificity, their semantic content, and their likelihood. A storyline is composed of a time-ordered sequence of contexts that partition a given span of time. A storyline is created through a process of data collection, slicing and labeling. Raw context data can be collected from a variety of observation sources with various error characteristics. Slicing refines the chaotic collection of contexts produced by data collection into a single consistent storyline composed of a sequence of contexts representing homogeneous time intervals. Labeling adds more specific and semantically meaningful data (e.g., geography, venue, activity) to the storyline produced by slicing.
Description
CROSS-REFERENCE TO RELATED APPLICATION[0001]This application claims the benefit of U.S. Provisional Application No. 61 / 675,732, filed Jul. 25, 2012, entitled “Creating a Storyline from Mobile Device Data,” and U.S. Provisional Application No. 61 / 675,733, filed Jul. 25, 2012, entitled “Recommendation Agents Using Routine, Personality, Learning, and Sharing,” both of which are incorporated herein by reference in their entirety.BACKGROUND[0002]1. Technical Field[0003]The described embodiments pertain to interpreting location data and other data about a person collected from mobile devices and internetworked services.[0004]2. Description of Related Art[0005]Many mobile devices now have the capability of recording location and other information. Having a complete record of when and where the user goes is useful for a variety of applications, including recommendation systems, lifelogging, and goal tracking. However, there are a number of obstacles to building useful applications on top of...
Claims
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Patent Timeline
Login to View More IPC IPC(8): H04W4/02H04W4/029H04W4/21
CPCH04W4/02H04W4/21G06N20/00G06F16/955H04W4/029G06N5/04
InventorBENSLEY, JEREMYEUSTICE, KEVIN FRANCISLIU, ALAN LINCHUAN
OwnerVULCAN TECH