Dynamic control for data capture

Patent metadata

Field	Value
Publication number	US-2016012270-A1
Application number	US-201414329711-A
Country	US
Kind code	A1
Filing date	Jul 11, 2014
Priority date	Jul 11, 2014
Publication date	Jan 14, 2016
Grant date	—

Abstract

This application is directed to dynamic control for data capture. A device may comprise a capture logic module to receive at least one of biometric data from a biometric sensing module, context data from a context sensing module or content data from a content sensing module. The capture logic module may determine if a capture scenario exists based on at least one of the biometric data and context data. The determination may be weighted based on an operational mode. If a capture scenario is determined to exist, the capture logic module may then determine whether to capture data based on at least the content data. Captured data may be stored in a capture database in the device (e.g., along with enhanced metadata based on at least one of the biometric data, the context data or the content data). The device may also comprise a feedback database including feedback data.

First claim

What is claimed:

1 . A device to control data capture, comprising:
a capture database to store captured data; and a capture logic module to:
receive biometric data from a biometric sensing module;
receive context data from a context sensing module;
determine whether a capture scenario exists based on at least one of the biometric data or context data;
receive content data from a content sensing module based on at least the determination of whether a capture scenario exists;
determine whether to capture data based on at least the content data;
cause a capture module to capture data based on at least the determination of whether to capture data; and
cause the captured data to be stored in the capture database.

2 . The device of claim 1 , further comprising a communication module to allow the capture logic module to interact with at least part of the biometric sensing module external to the device.

3 . The device of claim 2 , wherein the communication module is further to allow the capture logic module to interact with at least part of the context sensing module external to the device.

4 . The device of claim 2 , wherein the communication module is further to allow the capture logic module to interact with at least part of the capture module external to the device.

5 . The device of claim 1 , wherein the biometric data comprises data describing at least one of movement of a user of the device, focus of the user of the device or excitement level of the user of the device as determined based on data received by the biometric sensing module.

6 . The device of claim 1 , wherein the context data comprises data describing at least one of time, date, location, scene, proximate objects or proximate people as determined based on data received by the context sensing module.

7 . The device of claim 1 , wherein the content data comprises data describing at least one of capture quality, aesthetic quality or object recognition as determined based on data received by the content sensing module.

8 . The device of claim 1 , further comprising a feedback database situated at least partially in the device to provide feedback data to generate criteria for use in controlling at least one of the biometric sensing module, context sensing module, content sensing module or capture module.

9 . The device of claim 1 , wherein the capture logic module is further to:
configure the capture module prior to causing the capture module to capture data.

10 . The device of claim 1 , wherein the capture logic module is further to:
cause enhanced metadata to be stored in the capture database in association with the capture data, the enhanced metadata being based on at least one of the biometric data, the context data or content data.

11 . The device of claim 1 , wherein the capture logic module is further to:
determine a mode of operation; and set weighting between at least the biometric data and context data based on the mode of operation prior to determining whether a capture scenario exists based on at least one of the biometric data or context data.

12 . A method for dynamic control of data capture, comprising:
receiving biometric data; receiving context data; determining whether a capture scenario exists based on at least one of the biometric data or context data; receiving content data based on at least the determination of whether a capture scenario exists; determining whether to capture data based on at least the content data; causing data to be captured based on at least the determination of whether to capture data; and causing the captured data to be stored in a capture database.

13 . The method of claim 12 , wherein the biometric data comprises data describing at least one of movement of a user, focus of the user or excitement level of the user.

14 . The method of claim 12 , wherein the context data comprises data describing at least one of time, date, location, scene, proximate objects or proximate people.

15 . The method of claim 12 , wherein the content data comprises data describing at least one of capture quality, aesthetic quality or object recognition.

16 . The method of claim 12 , further comprising:
controlling at least one of biometric sensing, context sensing, content sensing or data capture based on feedback data.

17 . The method of claim 12 , further comprising:
causing enhanced metadata to be stored in the capture database in association with the capture data, the enhanced metadata being based on at least one of the biometric data, the context data or content data.

18 . The method of claim 12 , further comprising:
determining a mode of operation; and setting weighting between at least the biometric data and context data based on the mode of operation prior to determining whether a capture scenario exists based on at least one of the biometric data or context data.

19 . At least one machine-readable storage medium having stored thereon, individually or in combination, instructions for dynamic control of data capture that, when executed by one or more processors, cause the one or more processors to:
receive biometric data; receive context data; determine whether a capture scenario exists based on at least one of the biometric data or context data; receive content data based on at least the determination of whether a capture scenario exists; determine whether to capture data based on at least the content data; cause data to be captured based on at least the determination of whether to capture data; and cause the captured data to be stored in a capture database.

20 . The medium of claim 19 , wherein the biometric data comprises data describing at least one of movement of a user, focus of the user or excitement level of the user.

21 . The medium of claim 19 , wherein the context data comprises data describing at least one of time, date, location, scene, proximate objects or proximate people.

22 . The medium of claim 19 , wherein the content data comprises data describing at least one of capture quality, aesthetic quality or object recognition.

23 . The medium of claim 19 , further comprising instructions that, when executed by the one or more processors, cause the one or more processors to:
control at least one of biometric sensing, context sensing, content sensing or data capture based on feedback data.

24 . The medium of claim 19 , further comprising instructions that, when executed by the one or more processors, cause the one or more processors to:
cause enhanced metadata to be stored in the capture database in association with the capture data, the enhanced metadata being based on at least one of the biometric data, the context data or content data.

25 . The medium of claim 19 , further comprising instructions that, when executed by the one or more processors, cause the one or more processors to:
determine a mode of operation; and set weighting between at least the biometric data and context data based on the mode of operation prior to determining whether a capture scenario exists based on at least one of the biometric data or context data.

Assignees

• Intel Corp

Inventors

• Xu Yan
• El Choubassi Maha
• Ratcliff Joshua

Classifications

• G06V40/1306

  non-optical, e.g. ultrasonic or capacitive sensing · CPC title

• G06F21/32 Primary

  using biometric data, e.g. fingerprints, iris scans or voiceprints · CPC title

• H04N23/611

  where the recognised objects include parts of the human body · CPC title

• H04N23/64 Primary

  Computer-aided capture of images, e.g. transfer from script file into camera, check of taken image quality, advice or proposal for image composition or decision on when to take image · CPC title

• H04N23/00

  Cameras or camera modules comprising electronic image sensors; Control thereof · CPC title