REAL TIME GEO-SOCIAL VISUALIZATION PLATFORM
A real-time social and emotional mapping system enabling the visualization of state data in a geo-locational context, including goals, intentions, feelings, observations, and physical states, among others, in a-location based context visualized as a digital map. A structured framework may enables users to share state data by selection or guided entry of data or alternatively through some classification of submitted data. In embodiments, an integrated request-response framework is provided through a marketplace centered on geo-locational context.
1 - 20 . (canceled)
21 . A system for location-based social networking, comprising:
a computer processor; and
a social mapping module executing on the computer processor and configured to enable the computer processor to:
receive passive data obtained from a sensory device of each a set of responding client devices, wherein users of the responding client devices are not notified of the collection of passive data while passive data is being collected;
receive, from a requesting client device, a request for one or more social media posts, wherein the request includes geo-location information;
send a notification to a first subset of the responding client devices that are within a geographic area established by the geo-location information of the request;
receive a set of social media posts from the first subset of the client devices in response to the notification;
identify a data type associated with a subset of the passive data originating within the geographic area;
select, based at least on the data type, the subset of the set of social media posts for inclusion in an aggregated group; and
provide, in response to the request, the aggregated group for display by the requesting client device.
22 . The system of claim 21 , wherein the geo-location information corresponds to a geographic map displayed on the requesting client device.
23 . The system of claim 21 , wherein:
the request further includes a set of filter parameters, and
the selecting is further based on the set of filter parameters.
24 . The system of claim 23 , wherein the set of filter parameters comprises at least one selected from a group consisting of categories, hashtags, mental states, and descriptive adjectives.
25 . The system of claim 21 , wherein users of the responding client devices are not notified of the collection of passive data while passive data is being collected, and wherein the social mapping module executing on the computer processor is further configured to enable the computer processor to:
repeatedly refine a passively aggregated dataset by performing automated analysis of the passive data received from the set of responding client devices.
26 . The system of claim 21 , wherein the request comprises a service request.
27 . The system of claim 21 , wherein selecting the subset of the set of social media posts for inclusion in the aggregated group is further based on active data corresponding to each social media post, and wherein active data comprises at least one selected from a group consisting of an audio recording or stream, a video recording or stream, an image, a text submission, a hashtag, a location indication, a mental state indication, an observational state indication, information provided through a form, and information provided through a selection of an option.
28 . The system of claim 21 , wherein passive data comprises at least one selected from a group consisting of video received from a wearable sensor, captured supplementary data from sensors or input devices, audio received from a wearable microphone, sensed user observations, user location determination by a GPS sensor, accelerometer data, barometer data, temperature data, physiological data, and body signals.
29 . A method for location-based social networking, comprising:
receiving passive data obtained from a sensory device of each a set of responding client devices, wherein users of the responding client devices are not notified of the collection of passive data while passive data is being collected;
receiving, from a requesting client device, a request for one or more social media posts, wherein the request includes geo-location information;
sending a notification to a first subset of the responding client devices that are within a geographic area established by the geo-location information of the request;
receiving a set of social media posts from the first subset of the client devices in response to the notification;
identifying a data type associated with a subset of the passive data originating within the geographic area;
selecting, based at least on the data type, the subset of the set of social media posts for inclusion in an aggregated group; and
providing, in response to the request, the aggregated group for display by the requesting client device.
30 . The method of claim 29 , wherein the geo-location information corresponds to a geographic map displayed on the requesting client device.
31 . The method of claim 29 , wherein:
the request further includes a set of filter parameters, and
the selecting is further based on the set of filter parameters.
32 . The method of claim 31 , wherein the set of filter parameters comprises at least one selected from a group consisting of categories, hashtags, mental states, and descriptive adjectives.
33 . The method of claim 29 , wherein users of the responding client devices are not notified of the collection of passive data while passive data is being collected, and wherein the method further comprises:
repeatedly refining a passively aggregated dataset by performing automated analysis of the passive data received from the set of responding client devices.
34 . The method of claim 29 , wherein the request comprises a service request.
27 . The method of claim 29 , wherein selecting the subset of the set of social media posts for inclusion in the aggregated group is further based on active data corresponding to each social media post, and wherein active data comprises at least one selected from a group consisting of an audio recording or stream, a video recording or stream, an image, a text submission, a hashtag, a location indication, a mental state indication, an observational state indication, information provided through a form, and information provided through a selection of an option.
36 . The method of claim 29 , wherein passive data comprises at least one selected from a group consisting of video received from a wearable sensor, captured supplementary data from sensors or input devices, audio received from a wearable microphone, sensed user observations, user location determination by a GPS sensor, accelerometer data, barometer data, temperature data, physiological data, and body signals.
37 . A non-transitory computer-readable storage medium comprising a plurality of instructions for location-based social networking, the plurality of instructions configured to execute on at least one computer processor to enable the at least one computer processor to:
receive passive data obtained from a sensory device of each a set of responding client devices, wherein users of the responding client devices are not notified of the collection of passive data while passive data is being collected;
receive, from a requesting client device, a request for one or more social media posts, wherein the request includes geo-location information;
send a notification to a first subset of the responding client devices that are within a geographic area established by the geo-location information of the request;
receive a set of social media posts from the first subset of the client devices in response to the notification;
identify a data type associated with a subset of the passive data originating within the geographic area;
select, based at least on the data type, the subset of the set of social media posts for inclusion in an aggregated group; and
provide, in response to the request, the aggregated group for display by the requesting client device.
38 . The non-transitory computer-readable storage medium of claim 37 , wherein:
the request further includes a set of filter parameters, and
the selecting is further based on the set of filter parameters.
39 . The non-transitory computer-readable storage medium of claim 37 , wherein users of the responding client devices are not notified of the collection of passive data while passive data is being collected, and wherein the plurality of instructions are further configured to enable the at least one computer processor to:
repeatedly refine a passively aggregated dataset by performing automated analysis of the passive data received from the set of responding client devices.
40 . The non-transitory computer-readable storage medium of claim 37 , wherein the request comprises a service request.