Systems and methods providing EN mass collection and centralized processing of physiological responses from viewers

• US 10,580,018 B2
• Filed: 10/21/2016
• Issued: 03/03/2020
• Est. Priority Date: 10/31/2007
• Status: Active Grant

• Current Assignee: Nielsen Consumer LLC (Nielsen Holdings plc)
• Original Assignee: The Nielsen Company LLC (MOOD Media Corporation)
• Inventors: Lee, Hans C., Hong, Timmie T., Munoz, Juan C.
• Primary Examiner(s): Flory, Christopher A
• Assistant Examiner(s): Jian, Shirley X
• Application Number:
  US15/331,271
• Publication Number:
  US 20170053296A1
• Time in Patent Office: 1,229 Days
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• 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 5/16 Devices for psychotechnics using teaching or educational appliances G09B1/00 - G09B7/00; Testing reaction times ; Devices for evaluating the psychological state
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/377 using evoked responses
• CPC Class Codes: A61B 5/6803 Head-worn items, e.g. helmets, masks, headphones or goggles
• CPC Class Codes: A61B 5/6814 Head
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0204 Market segmentation
• CPC Class Codes: H04H 60/33 Arrangements for monitoring the users' behaviour or opinions
• CPC Class Codes: H04N 21/25866 Management of end-user data customer care in data networks H04L41/5077
• CPC Class Codes: H04N 21/42201 biosensors, e.g. heat sensor for presence detection, EEG sensors or any limb activity sensors worn by the user input arrangements for interaction with the human body based on nervous system activity detection G06F3/015
• CPC Class Codes: H04N 21/44218 Detecting physical presence or behaviour of the user, e.g. using sensors to detect if the user is leaving the room or changes his face expression during a TV program methods or arrangements for recognising human body or animal bodies or body parts G06V40/10; methods or arrangements for acquiring or recognising human faces, facial parts, facial sketches, facial expressions G06V40/16; methods or arrangements for recognising movements or behaviour G06V40/20; arrangements for identifying users in broadcast systems H04H60/45
• CPC Class Codes: H04N 21/4758 for providing answers, e.g. voting
• CPC Class Codes: H04N 7/16 Analogue secrecy systems; Analogue subscription systems

Abstract

Examples described herein enable “in situ” sensing, which collects and analyzes physiological responses from a large group of viewers/audiences who watch a same media instance together at a single venue. Each of the group of viewers is fitted with physiological sensors with communication capabilities to communicate with a signal collection device at or near the venue. The signal collection device collects the physiological data of the viewers from the sensors, and transmits the physiological data to a processing module at another location via a network for storage and further analysis.

Claims

1. A system comprising:

a central processor;

a first headset to be worn by a first user, the first headset including;

a first sensor to gather first user data from the first user during exposure to media, the first user data including at least one of psychophysiological data or physiological data indicative of at least one of sleep, motion, or talking;

a first processor to analyze the first user data and remove first data corresponding to a time period during which the first user was not paying attention to the media to form first pre-processed data; and

a first transmitter to transmit the first pre-processed data to the central processor; and

a second headset to be worn by a second user, the second headset including;

a second sensor to gather second user data from the second user during exposure to the media, the second user data including at least one of psychophysiological data or physiological data indicative of at least one of sleep, motion, or talking;

a second processor to analyze the second user data to remove second data corresponding to a time period during which the second user was not paying attention to the media to form second pre-processed data; and

a second transmitter to transmit the second pre-processed data to the central processor;

the central processor to analyze the first pre-processed data and the second pre-processed data to assess the media.

2. The system of claim 1, wherein the first processor is to adjust at least a portion of the first pre-processed data to replace the removed first data.

3. The system of claim 1, wherein the central processor is to:

derive a first response of the first user to the media based on the analysis of the first pre-processed data;

derive a second response of the second user to the media based on the analysis of the second pre-processed data;

aggregate the first response and the second response to form aggregated response data; and

assess the media by calculating a rating score for the media based on the aggregated response data.

4. The system of claim 1, wherein the first processor is to remove the first data if the time period during which the first user was not paying attention to the media exceeds a predetermined threshold time period.

5. The system of claim 1, wherein the first processor is to identify the first data based on a pattern in the first user data associated with a motion performed by the first user relative to previously collected data for the motion.

6. The system of claim 1, wherein the first processor is to further form the first pre-processed data by determining a response of the first user to the media based on the first user data with the first data removed from the first user data, the first transmitter to transmit the response to the central processor.

7. The system of claim 1, wherein the first processor is to further:

perform a comparison of at least a portion of the first user data relative to a predetermined threshold associated with the at least one of the psychophysiological data or the physiological data indicative of at least one of sleep, motion, or talking; and

if the at least the portion of the first user data one of exceeds the predetermined threshold or is below the predetermined threshold, generate a user instruction for presentation to the first user via a display based on the comparison.

8. A method comprising:

analyzing, by executing an instruction with a first processor, first user data gathered by a first sensor of a first headset worn by a first user during exposure to media, the first headset including the first processor, the first user data including at least one of psychophysiological data or physiological data indicative of at least one of sleep, motion, or talking;

removing, by executing an instruction with the first processor, first data corresponding to a time period during which the first user was not paying attention to the media to form first pre-processed data;

transmitting, via a first transmitter associated with the first headset, the first pre-processed data to a central processor;

analyzing, by executing an instruction with a second processor, second user data gathered by a second sensor of a second headset worn by a second user during exposure to the media, the second headset including the second processor, the second user data including at least one of psychophysiological data or physiological data indicative of at least one of sleep, motion, or talking;

removing, by executing an instruction with the second processor, second data corresponding to a time period during which the second user was not paying attention to the media to form second pre-processed data;

transmitting, via a second transmitter associated with the second headset, the second pre-processed data to the central processor; and

generating, by executing an instruction with the central processor, a rating score for the media based on the first pre-processed data and the second pre-processed data; and

storing the rating score in a memory.

9. The method of claim 8, further including adjusting, by executing an instruction with the first processor, at least a portion of the first pre-processed data to replace the removed first data.

10. The method of claim 8, further including:

deriving, by executing an instruction with the central processor, a first response of the first user to the media based on the analysis of the first pre-processed data;

deriving, by executing an instruction with the central processor, a second response of the second user to the media based on the analysis of the second pre-processed data;

aggregating, by executing an instruction with the central processor, the first response and the second response to form aggregated response data; and

calculating, by executing an instruction with the central processor, the rating score for the media based on the aggregated response data.

11. The method of claim 8, further including removing, by executing an instruction with the central processor, the first data if the time period during which the first user was not paying attention to the media exceeds a predetermined threshold time period.

12. The method of claim 8, further including identifying, by executing an instruction with the first processor, the first data based on a pattern in the first user data associated with a motion performed by the first user relative to previously collected data for the motion.

13. The method of claim 8, wherein the forming of the first pre- processed data further includes determining, by executing an instruction with the first processor, a response of the first user to the media based on the first user data with the first data removed from the first user data;

and further including transmitting, via the first transmitter, the response to the central processor.

14. The method of claim 8, further including:

performing a comparison of at least a portion of the first user data relative to a predetermined threshold associated with the at least one of the psychophysiological data or the physiological data indicative of at least one of sleep, motion, or talking; and

if the at least the portion of the first user data one of exceeds a predetermined threshold or is below the predetermined threshold, generating, by executing an instruction with the first processor, a user instruction for presentation to the first user via a display based on the comparison.

15. A system comprising:

a machine readable storage device or storage disk having a memory including machine executable instructions;

a first processor to execute the instructions to;

analyze first user data gathered by a first sensor of a first headset worn by a first user during exposure to media, the first headset including the first processor, the first user data including at least one of psychophysiological data or physiological data indicative of at least one of sleep, motion, or talking;

remove first data corresponding to a time period during which the first user was not paying attention to the media to form first pre-processed data; and

transmit the first pre-processed data to a third processor; and

a second processor to execute the instructions to;

analyze second user data gathered by a second sensor of a second headset worn by a second user during exposure to the media, the second headset including the second processor, the second user data including at least one of psychophysiological data or physiological data indicative of at least one of sleep, motion, or talking;

remove second data corresponding to a time period during which the second user was not paying attention to the media to form second pre-processed data; and

transmit the second pre-processed data to the third processor; and

the third processor to execute the instructions to analyze the first pre-processed data and the second pre-processed data to assess the media, the first processor, the second processor, and the third processor in communication with the memory.

16. The system of claim 15, wherein the first processor is to execute the instructions to adjust the first pre-processed data to replace the removed first data.

17. The system of claim 15, wherein the third processor is to execute the instructions to:

derive a first response of the first user to the media based on the analysis of the first pre-processed data;

derive a second response of the second user to the media based on the analysis of the second pre-processed data;

aggregate the first response and the second response to form aggregated response data; and

calculate a rating score for the media based on the aggregated response data.

18. The system of claim 15, wherein the first processor is to remove the first data if the time period during which the first user was not paying attention to the media exceeds a predetermined threshold time period.

19. The system of claim 15, wherein the first processor is to execute the instructions to identify the first data based on a pattern in the first user data associated with a motion performed by the first user relative to previously collected data for the motion.

20. The system of claim 15, wherein the first processor is to execute the instructions to:

form the first pre-processed data by determining a response of the first user to the media based on the first user data with the first data removed from the first user data; and

transmit the response to the third processor.