Context emotion determination system
First Claim
1. A method comprising:
- receiving, by a computer system, emotion sensor data for a plurality of contexts from a plurality of distributed electronic devices, wherein each of the plurality of contexts corresponds to one or more of a geographical area and a time period, wherein the emotion sensor data comprises implicit emotion indicators based on information sensed by the plurality of distributed electronic devices for the plurality of contexts, wherein the emotion sensor data further comprises explicit emotion descriptors based on user reported descriptions of emotions for the plurality of contexts;
determining, by the computer system, a first context in the plurality of contexts;
determining, by the computer system, a first portion of the emotion sensor data determined to be received from a first portion of the plurality of distributed electronic devices, wherein the first portion of the emotion sensor data is based on information sensed for the first context;
generating, by the computer system, a first emotion profile for the first context based on the first portion of the emotion sensor data, the generating comprising weighting the implicit emotion indicators differently from the explicit emotion descriptors based at least on a reliability,tracking, using an emotion trend profile, an emotional change associated with a move from one of the plurality of contexts to another of the plurality of contexts; and
predicting, using the emotion trend profile and the first emotion profile, a predicted emotional change associated with a move from one of the plurality of contexts to the first context;
wherein the first emotion profile comprises a description of a first emotion associated with the first context, and wherein the computer system comprises one or more computer processors configured to perform the steps of the method.
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Abstract
Systems, methods, and devices for determining contexts and determining associated emotion profiles using information received from multiple emotion sensor enabled electronic devices, are disclosed. Contexts can be defined by a description of spatial and/or temporal components. Such contexts can be arbitrarily defined using semantically meaningful and absolute descriptions of times and locations. Emotion sensor data is associated with or includes context data that describes the circumstances under which the data was determined. The emotion sensor data can include emotion sensor readings that are implicit indications of an emotion for the context. The sensor data can also include user reported data with explicit descriptors of an emotion for the context. The emotion sensor data can be filtered by context data according a selected context. The filtered sensor data can then be analyzed to determine an emotion profile for the context that can be output to one or more users or entities.
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Citations
19 Claims
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1. A method comprising:
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receiving, by a computer system, emotion sensor data for a plurality of contexts from a plurality of distributed electronic devices, wherein each of the plurality of contexts corresponds to one or more of a geographical area and a time period, wherein the emotion sensor data comprises implicit emotion indicators based on information sensed by the plurality of distributed electronic devices for the plurality of contexts, wherein the emotion sensor data further comprises explicit emotion descriptors based on user reported descriptions of emotions for the plurality of contexts; determining, by the computer system, a first context in the plurality of contexts; determining, by the computer system, a first portion of the emotion sensor data determined to be received from a first portion of the plurality of distributed electronic devices, wherein the first portion of the emotion sensor data is based on information sensed for the first context; generating, by the computer system, a first emotion profile for the first context based on the first portion of the emotion sensor data, the generating comprising weighting the implicit emotion indicators differently from the explicit emotion descriptors based at least on a reliability, tracking, using an emotion trend profile, an emotional change associated with a move from one of the plurality of contexts to another of the plurality of contexts; and predicting, using the emotion trend profile and the first emotion profile, a predicted emotional change associated with a move from one of the plurality of contexts to the first context; wherein the first emotion profile comprises a description of a first emotion associated with the first context, and wherein the computer system comprises one or more computer processors configured to perform the steps of the method. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
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18. A non-transitory computer-readable storage medium containing instructions that, when executed, control one or more computer processors of an electronic device to be configured for:
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receiving emotion sensor data from a plurality of distributed electronic devices for a plurality of contexts, wherein each of the plurality of contexts corresponds to one or more of a geographical area and a time period, wherein the emotion sensor data comprises implicit emotion indicators based on information sensed by the plurality of distributed electronic devices for a plurality of contexts, and wherein the emotion sensor data further comprises explicit emotion descriptors based on user reported descriptions of emotions for the plurality of contexts; determining a first context in the plurality of contexts; determining a first portion of the emotion sensor data determined to be received from a first portion of the plurality of distributed electronic devices, wherein the first portion of the emotion sensor data is based on information sensed for the first context; generating a first emotion profile for the first context based on the first portion of the emotion sensor data, the generating comprising weighting the implicit emotion indicators differently from the explicit emotion descriptors based at least on a reliability, tracking, using an emotion trend profile, an emotional change associated with a move from one of the plurality of contexts to another of the plurality of contexts; and predicting, using the emotion trend profile and the first emotion profile, a predicted emotional change associated with a move from one of the plurality of contexts to the first context; wherein the first emotion profile comprises a description of an emotion associated with the first context.
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19. An electronic device comprising:
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at least one computer processor; an emotion sensor communicatively coupled to the at least one computer processor; an electronic communication interface communicatively coupled to the at least one computer processor; and a non-transitory computer-readable storage medium containing instructions, that when executed, control the at least one computer processor to be configured to; activate the emotion sensor to determine an emotion sensor reading; determine context data for the emotion sensor reading, wherein the context data describes circumstances in which the emotion sensor reading was determined; generate emotion sensor data comprising implicit emotion indicators based on the context data and the emotion sensor reading; track, using an emotion trend profile, an emotional change associated with a move from one of the plurality of contexts to another of the plurality of contexts; predict, using the emotion trend profile and the first emotion profile, a predicted emotional change associated with a move from one of the plurality of contexts to the first context; send the emotion sensor data to one or more remote service providers through the electronic communication interface; and receive, from a first remote service provider in the one or more remote service providers through the electronic communication interface, summary emotion sensor data for a particular context, wherein the particular context corresponds to one or more of a geographical area and a time period, wherein the summary emotion sensor data comprises emotion sensor data for the particular context that has been received by the first remote service provider from a plurality of other electronic devices, wherein the summary emotion sensor data further comprises explicit emotion descriptors based on user reported descriptions of emotions for the plurality of contexts, wherein the implicit emotion indicators are weighted differently from the explicit emotion descriptors based at least on a determination of reliability, and wherein the summary emotion sensor data is determined to include context data that matches the particular context.
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Specification