Systems and methods for scanning a user environment and evaluating data of interest

US10733396B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10733396-B2
Application numberUS-201816018295-A
CountryUS
Kind codeB2
Filing dateJun 26, 2018
Priority dateMar 1, 2012
Publication dateAug 4, 2020
Grant dateAug 4, 2020

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

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According to various embodiments, a mobile device continuously and/or automatically scans a user environment for tags containing non-human-readable data. The mobile device may continuously and/or automatically scan the environment for tags without being specifically directed at a particular tag. The mobile device may be adapted to scan for audio tags, radio frequency tags, and/or image tags. The mobile device may be configured to scan for and identify tags within the user environment that satisfy a user preference. The mobile device may perform an action in response to identifying a tag that satisfies a user preference. The mobile device may be configured to scan for a wide variety of tags, including tags in the form of quick response codes, steganographic content, audio watermarks, audio outside of a human audible range, radio frequency identification tags, long wavelength identification tags, near field communication tags, and/or a Memory Spot device.

First claim

Opening claim text (preview).

What is claimed is: 1. A method for capturing and evaluating data of interest to a user, comprising: automatically scanning a user environment by a mobile device for tags containing non-human-readable data without the mobile device being specifically directed at a particular tag, wherein at least some of the tags specify one or more links to supplemental content; continuously identifying tags within the user environment that satisfy one or more preferences; aggregating a plurality of links associated with the identified tags; retrieving the supplemental content associated with one or more of the plurality of aggregated links; and presenting the plurality of aggregated links to a user. 2. The method of claim 1 , wherein the tag comprises at least one of a radio-frequency identification (RFID) tag, a long wavelength identification (LWID) tag, a near field communication (NFC) device and a Memory Spot device. 3. The method of claim 1 , wherein at least one preference is specified by a user. 4. The method of claim 1 , wherein at least one preference is specified by a third party. 5. The method of claim 1 , wherein at least one preference is obtained from social media information. 6. The method of claim 1 , wherein at least one preference is based on a user's location. 7. The method of claim 1 , wherein at least one preference is derived from information related to a user. 8. The method of claim 1 , wherein at least preference is based at least in part on historical user input or actions. 9. The method of claim 1 , wherein the computing device is integrated into the mobile device. 10. A system for capturing and evaluating data of interest to a user, comprising: a mobile device to automatically scan a physical user environment for one or more tags containing non-human-readable data without the mobile device being specifically directed at a particular tag, wherein at least some of the tags specify one or more links to supplemental content; wherein the mobile device continuously identifies tags within a physical user environment that satisfy one or more preferences and aggregates a plurality of links associated with the identified tags; and a computing device to present the plurality of aggregated links to a user, wherein, prior to presenting the plurality of aggregated links to the user, the computing device retrieves the supplemental content associated with one or more of the plurality of aggregated links. 11. The system of claim 10 , wherein the tag comprises at least one of a radio-frequency identification (RFID) tag, a long wavelength identification (LWID) tag, a near field communication (NFC) device and a Memory Spot device. 12. The system of claim 10 , wherein at least one preference is specified by a user. 13. The system of claim 10 , wherein at least one preference is specified by a third party. 14. The system of claim 10 , wherein at least one preference is obtained from social media information. 15. The system of claim 10 , wherein at least one preference is based on a user's location. 16. The system of claim 10 , wherein at least one preference is derived from information related to a user. 17. The system of claim 10 , wherein at least preference is based at least in part on historical user input or actions. 18. The system of claim 10 , wherein the computing device is integrated into the mobile device.

Assignees

Inventors

Classifications

  • G02B27/017Primary

    Head mounted · CPC title

  • comprising information/image processing systems · CPC title

  • comprising image capture systems, e.g. camera · CPC title

  • Eyeglass type (eyeglass details G02C) · CPC title

  • the interrogation device being adapted for miscellaneous applications · CPC title

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What does patent US10733396B2 cover?
According to various embodiments, a mobile device continuously and/or automatically scans a user environment for tags containing non-human-readable data. The mobile device may continuously and/or automatically scan the environment for tags without being specifically directed at a particular tag. The mobile device may be adapted to scan for audio tags, radio frequency tags, and/or image tags. Th…
Who is the assignee on this patent?
Elwha Llc
What technology area does this patent fall under?
Primary CPC classification G02B27/017. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Aug 04 2020 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).