AGGREGATE CONTEXT INFERENCES USING MULTIPLE CONTEXT STREAMS
First Claim
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1. A method comprising:
- accessing first context information associated with a first duration;
accessing second context information to determine a context segmentation boundary; and
aggregating the first context information and the second context information to generate an inferred segmented aggregated context.
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Abstract
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.
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Citations
26 Claims
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1. A method comprising:
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accessing first context information associated with a first duration; accessing second context information to determine a context segmentation boundary; and aggregating the first context information and the second context information to generate an inferred segmented aggregated context. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method comprising:
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determining, by a first computing device, a first set of context inferences covering a first time period, wherein the first set of context inferences is determined from sensor data; determining from the first set of context inferences, a context segmentation boundary associated with a first time delineating a first context prior to the first time from a second context following the first time within the first time period; determining, by the first computing device, a second context inference from the sensor data associated with a second time following the first time within the first time period; determining an inferred segmented aggregated context from the second context and the second context inference; and selecting a set of device settings for the first computing device based on the inferred segmented aggregated context. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. A mobile device comprising:
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a processor; a first sensor coupled to the processor; and a non-transitory storage medium coupled to the processor, the storage medium including instructions that when executed by the processor cause the mobile device to; access first context information associated with a first duration from the first sensor; access second context information to determine a context segmentation boundary; and aggregate the first context information and the second context information to generate an inferred segmented aggregated context. - View Dependent Claims (20)
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21. A device comprising:
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means for determining a first set of context inferences covering a first time period, wherein the first set of context inferences is determined from sensor data; means for determining from the first set of context inferences, a context segmentation boundary associated with a first time delineating a first context prior to the first time from a second context following the first time within the first time period; means for determining a second context inference from the sensor data associated with a second time following the first time within the first time period; means for determining an inferred segmented aggregated context from the second context and the second context inference; and means for selecting a set of device settings based on the inferred segmented aggregated context. - View Dependent Claims (22, 23)
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24. A non-transitory computer readable medium comprising computer readable instructions that, when executed by a processor, cause a device to implement a method comprising:
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determining, by the device, a first set of context inferences covering a first time period, wherein the first set of context inferences is determined from sensor data; determining from the first set of context inferences, a context segmentation boundary associated with a first time delineating a first context prior to the first time from a second context following the first time within the first time period; determining, by the device, a second context inference from the sensor data associated with a second time following the first time within the first time period; determining an inferred segmented aggregated context from the second context and the second context inference; and selecting a set of device settings for based on the inferred segmented aggregated context. - View Dependent Claims (25, 26)
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Specification