Distinguishing between user physical exertion biometric feedback and user emotional interest in a media stream

• US 8,125,314 B2
• Filed: 02/05/2008
• Issued: 02/28/2012
• Est. Priority Date: 02/05/2008
• Status: Active Grant

• Current Assignee: Daedalus Blue LLC
• Original Assignee: International Business Machines Corporation
• Inventors: Fithian, Rachel H., Hockett, Hugh E.
• Primary Examiner(s): Wu, Daniel
• Assistant Examiner(s): MA, KAM WAN
• Application Number:
  US12/026,150
• Publication Number:
  US 20110169603A1
• Time in Patent Office: 1,484 Days
• Field of Search: 340/1.1, 340/5.1, 340/5.2, 340/5.51, 340/5.52, 340/539.12, 340/573.1
• US Class Current: 340/5.52
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 30/00 Commerce
• CPC Class Codes: H04N 19/103 Selection of coding mode or of prediction mode
• CPC Class Codes: H04N 19/12 Selection from among a plurality of transforms or standards, e.g. selection between discrete cosine transform [DCT] and sub-band transform or selection between H.263 and H.264
• CPC Class Codes: H04N 19/162 User input
• CPC Class Codes: H04N 19/172 the region being a picture, frame or field
• CPC Class Codes: H04N 19/40 using video transcoding, i.e. partial or full decoding of a coded input stream followed by re-encoding of the decoded output stream

Abstract

The present invention discloses a method, system, and computer program product for determining user interest in media. The invention can select one of a set of different activity profiles specified within a data store. Each activity profile can include biometric attributes and associated baseline attribute values specific to an activity state. A media stream can be manipulated (e.g., created from environmental inputs and/or played upon a presentation device). Biometric data can be received from a user in proximity to the media stream. The received biometric data can be compared values in the selected activity profile. An interest level in the media stream can be determined based on comparison differences. A programmatic action can be performed relating to the media stream based upon the determined interest level. For example, a bitrate of the media and/or a marker in the media can be modified based on interest level.

Claims

1. A method for determining user interest in media comprising:

determining an activity state of a user;

identifying one of a plurality of different activity profiles specified within a data store based upon the determined activity state;

wherein each activity profile comprises at least one biometric attribute and one or more associated baseline attribute values specific to an activity state corresponding to the activity profile, wherein said different activity profiles correspond to at least one of a level of physical exertion and a specific physical activity;

capturing biometric data from the user when a media stream is not playing;

determining the baseline attribute values for the identified activity profile based upon the captured biometric data;

storing in the data store the at least one determined baseline attribute values in entries associated with the identified activity profile;

selecting one of the plurality of different activity profiles specified within the data store;

manipulating the media stream;

receiving biometric data from the user, who is in proximity to the media stream;

comparing the received biometric data against corresponding baseline attribute values specified within the selected activity profile;

determining an interest level in the media stream based at least in part upon results of comparing the received biometric data with the corresponding baseline attribute values; and

performing at least one programmatic action relating to the media stream based upon the determined interest level.

2. The method of claim 1, wherein the baseline attribute values stored within the different activity profiles are specific to the user.

3. The method of claim 1, further comprising:

receiving activity specific data from at least one sensor, wherein the sensor comprises at least one of an accelerometer, a location detection sensor, a movement detection sensor, and a sensor for detecting data, wherein the detected data is used to determine a setting of exercise equipment being utilized by the user; and

determining the selected activity profile based upon the received activity specific data.

4. The method of claim 1, wherein the received biometric data is time-synched with the manipulated media stream, said method further comprising:

storing said media stream in any manner based upon the determined interest level.

5. The method of claim 1, wherein said media stream manipulation captures environmental input to create the media stream, wherein the biometric data is acquired at a time the captured environmental input is obtained and is time-synched with the captured environmental input, said method further comprising:

storing said media stream in any manner based upon the determined interest level.

6. The method of claim 1, wherein said media stream manipulation presents output of media stream upon a media presentation device, wherein the biometric data is acquired at a time the output of the media stream is being presented and is time-synched with a presentation of the media stream, said method further comprising;

storing said media stream in any manner based upon the determined interest level.

7. The method of claim 1, wherein said media stream comprises at least one of audio stream, a video stream, and a stream comprising a plurality of images, wherein the method further comprising:

using the biometric data to determine an emotional interest level of a provider of the biometric data, wherein different ones of the portions of the media stream is associated with different determined emotional interest levels; and

storing said media stream in any manner based upon the determined emotion interest levels.

8. A non-transitory computer usable storage medium comprising:

said non-transitory computer usable storage medium having computer usable program code embodied therewith, the computer usable program code comprising;

the computer usable program code configured to determine an activity state of a user;

the computer usable program code configured to identify one of a plurality of different activity profiles based upon the determined activity state, wherein each activity profile comprises at least one biometric attribute and one or more associated baseline attribute values specific to an activity state corresponding to the activity profile;

the computer usable program code configured to capture biometric data from the user when a media stream is not playing;

the computer usable program code configured to determine the baseline attribute values for the identified activity profile based upon the captured biometric data;

the computer usable program code configured to store in the data store the determined baseline attribute values in entries associated with the identified activity profile;

the computer usable program code configured to select one of the plurality of different activity profiles specified within the data store;

the computer usable program code configured to manipulate the media stream;

the computer usable program code configured to receive biometric data from the user, who is in proximity to the media stream;

the computer usable program code configured to compare the received biometric data against corresponding baseline attribute values specified within the selected activity profile;

the computer usable program code configured to determine an interest level in the media stream based at least in part upon results of comparing the received biometric data with the corresponding baseline attribute values; and

the computer usable program code configured to perform at least one programmatic action relating to the media stream based upon the determined interest level.

9. The non-transitory computer usable storage medium of claim 8, wherein said different activity profiles correspond to at least one of a level of physical exertion and a specific physical activity.

10. The non-transitory computer usable storage medium of claim 8, wherein the received biometric data is time-synched with the manipulated media stream, said the computer program product further comprising:

the computer usable program code configured to store said media stream in any manner based upon the determined interest level.

11. The non-transitory computer usable storage medium of claim 8, the computer program product further comprising:

the computer usable program code configured to receive activity specific data from at least one sensor, wherein the sensor comprises at least one of an accelerometer, a location detection sensor, a movement detection sensor, and a sensor for detecting data, wherein the detected data is used to determine a setting of exercise equipment being utilized by the user; and

the computer usable program code configured to determine the selected activity profile based upon the received activity specific data.

12. A computer system comprising:

one or more processors, one or more computer-readable memories, and one or more computer readable tangible storage devices; and

program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, to;

determine an activity state of a user;

identify one of a plurality of different activity profiles specified within a data store based upon the determined activity state;

wherein each activity profile comprises at least one biometric attribute and one or more associated baseline attribute values specific to an activity state corresponding to the activity profile, wherein said different activity profiles correspond to at least one of a level of physical exertion and a specific physical activity;

capture biometric data from the user when a media stream is not playing;

determine the baseline attribute values for the identified activity profile based upon the captured biometric data;

store in the data store the at least one determined baseline attribute values in entries associated with the identified activity profile;

select one of the plurality of different activity profiles specified within the data store;

manipulate the media stream;

receive biometric data from the user, who is in proximity to the media stream;

compare the received biometric data against corresponding baseline attribute values specified within the selected activity profile;

determine an interest level in the media stream based at least in part upon results of comparing the received biometric data with the corresponding baseline attribute values; and

perform at least one programmatic action relating to the media stream based upon the determined interest level.

13. The computer system of claim 12, wherein the baseline attribute values stored within the different activity profiles are specific to the user.

14. The computer system of claim 12, wherein the program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, are further operable to:

receive activity specific data from at least one sensor, wherein the sensor comprises at least one of an accelerometer, a location detection sensor, a movement detection sensor, and a sensor for detecting data, wherein the detected data is used to determine a setting of exercise equipment being utilized by the user; and

determine the selected activity profile based upon the received activity specific data.

15. The computer system of claim 12, wherein the received biometric data is time-synched with the manipulated media stream, wherein said program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, are further operable to:

store said media stream in any manner based upon the determined interest level.

16. The computer system of claim 12, wherein said media stream manipulation captures environmental input to create the media stream, wherein the biometric data is acquired at a time the captured environmental input is obtained and is time-synched with the captured environmental input, wherein the program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, are further operable to:

store said media stream in any manner based upon the determined interest level.

17. The computer system of claim 12, wherein said media stream manipulation presents output of media stream upon a media presentation device, wherein the biometric data is acquired at a time the output of the media stream is being presented and is time-synched with a presentation of the media stream, wherein the program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, are further operable to:

store said media stream in any manner based upon the determined interest level.

18. The computer system of claim 12, wherein said media stream comprises at least one of audio stream, a video stream, and a stream comprising a plurality of images, wherein the program instructions, stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, are further operable to:

use the biometric data-to determine an emotional interest level of a provider of the biometric data, wherein different ones of the portions of the media stream is associated with different determined emotional interest levels; and

store said media stream in any manner based upon the determined emotion interest levels.