System and Method For Gathering And Analyzing Biometric User Feedback For Use In Social Media And Advertising Applications

• US 20130280682A1
• Filed: 02/27/2013
• Published: 10/24/2013
• Est. Priority Date: 02/27/2012
• Status: Active Grant

• Current Assignee: Nielsen Consumer LLC (Nielsen Holdings plc)
• Original Assignee: Innerscope Research, Inc. (Nielsen Holdings plc)
• Inventors: Levine, Brian, Marci, Carl, Kothuri, Ravi Kanth V.
• Granted Patent: US 9,569,986 B2
• Time in Patent Office: Days
• US Class Current: 434/236
• CPC Class Codes: A61B 2503/12 Healthy persons not otherwise provided for, e.g. subjects of a marketing survey
• CPC Class Codes: A61B 3/112 for measuring diameter of pupils
• CPC Class Codes: A61B 3/113 for determining or recording eye movement
• CPC Class Codes: A61B 5/0077 Devices for viewing the surface of the body, e.g. camera, magnifying lens
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/0533 Measuring galvanic skin response
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/389 Electromyography [EMG]
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: G09B 19/00 Teaching not covered by other main groups of this subclass teaching or practice apparatus for gun-aiming or gun-laying F41G3/26
• CPC Class Codes: G09B 25/00 Models for purposes not provided for in G09B23/00, e.g. full-sized devices for demonstration purposes model vehicles, tracks therefor, models in the nature of toys A63H

Abstract

A system and method for measuring biologically and behaviorally based responses to social media, locations, or experiences and providing instant and continuous feedback in response thereto. The system and method of the invention is capable of monitoring stress levels and well-being and may be implemented using a cloud-based infrastructure for remote monitoring.

Claims

1. A system for determining the emotional response of a user to social media comprising:

a plurality of biometric sensors in a first device operable to measure a plurality of biometric parameters for a user of the first device when exposed to a social media application, a marketing or advertising application, or a combination thereof;

a computer system operable to receive data representative of the plurality of biometric parameters, wherein the computer system further comprises a memory capable of storing the data, wherein the system is capable of determining an emotional response of the user, identifying the causation of the emotional response, and delivering the emotional response and the causation to a listening application for appropriate action.

2. The system of claim 1, wherein the plurality of biometric parameters comprise at least two of galvanic skin response, heart response, motion, skin temperature, breathing, EEG, EMG, pupil dilation, eye tracking, facial expressions, or a combination thereof

3. The system of claim 1, wherein the first device comprises a device capable of accessing a social media application, a marketing or advertising application, or a combination thereof.

4. The system of claim 3, wherein the first device is selected from the group consisting of mobile devices, tablets, laptops, desktops, goggles, watches, and combinations thereof.

5. The system of claim 3, wherein the first device further comprises image acquisition functionality, and wherein the image acquisition functionality comprises static photographs, videos, or a combination thereof.

6. The system of claim 5, wherein the image acquisition functionality comprises at least one camera, and wherein the at least one camera is capable of acquiring a plurality of images comprising images in the user'"'"'s view, images of the user, or a combination thereof.

7. The system of claim 6, wherein the system is capable of image recognition of the images in the user'"'"'s view.

8. The system of claim 5, wherein the system is capable of processing facial recognition using the images, videos, or a combination thereof of the user.

9. A system for determining the emotional state of a user to social media comprising:

a first device capable of accessing a social media application, a marketing or advertising application, or a combination thereof;

a second device comprising at least one biometric sensor operatively connected to the first device, wherein the at least one biometric sensor is operable to measure at least one biometric parameter for a user of the first device when exposed to social media;

a computer system operable to receive data representative of the at least one biometric parameter, wherein the computer system further comprises a memory capable of storing the data,

wherein the system is capable of determining an emotional response of the user to the social media, and wherein the system is capable of delivering the emotional response to a targeted application for appropriate action.

10. The system of claim 9, wherein the at least one biometric parameter comprises galvanic skin response, heart response, motion, skin temperature, breathing, EEG, EMG, pupil dilation, eye tracking, facial recognition, or a combination thereof.

11. The system of claim 9, wherein the second device comprises at least two biometric sensors.

12. The system of claim 11, wherein the at least two biometric sensors are operable to measure at least two biometric parameters selected from the group consisting of galvanic skin response, heart response, motion, skin temperature, breathing, EEG, EMG, pupil dilation, eye tracking, facial recognition, and combinations thereof.

13. The system of claim 9, wherein the first device further comprises image acquisition functionality.

14. The system of claim 13, wherein the image acquisition functionality comprises at least one camera, and wherein the at least one camera is capable of acquiring a plurality of images comprising at least one image in the user'"'"'s view, at least one image of the user, or a combination thereof.

15. The system of claim 14, wherein the system is capable of image recognition of the at least one image in the user'"'"'s view, facial recognition of the at least one images of the user, or a combination thereof.

16. The system of claim 9, wherein the system is capable of collecting motion data to determine activity level, direction, or a combination thereof.

17. The system of claim 9, wherein the system is capable of determining a current activity of the user.

18. The system of claim 17, wherein the system is capable of feeding the current activity and the emotional state to listening applications, wherein the listening applications reside on the device or on a central server.

19. The system of claim 18, wherein the listening application is capable of providing tailored content to the user based on the emotional state and current activity.

20. The system of claim 19, wherein the listening application is capable of processing feeds of the emotional state and current activity for social media.