Method and system for processing information based on detected biometric event data

• US 9,268,876 B2
• Filed: 05/28/2013
• Issued: 02/23/2016
• Est. Priority Date: 07/20/2007
• Status: Active Grant

• Current Assignee: Avago Technologies International Sales Pte Limited (Broadcom, Inc.)
• Original Assignee: Broadcom Corporation (Broadcom, Inc.)
• Inventors: MacInnis, Alexander, Behzad, Arya, Buer, Mark, Karaoguz, Jeyhan, Quigley, Thomas, Walley, John
• Primary Examiner(s): Edouard, Patrick
• Assistant Examiner(s): PEREZ, JULIO R
• Application Number:
  US13/903,606
• Publication Number:
  US 20130262491A1
• Time in Patent Office: 1,001 Days
• Field of Search: 455410-411, 382115-119, 382/124
• US Class Current: 1/1
• 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 5/002 Monitoring the patient using a local or closed circuit, e.g. in a room or building A61B5/0017 takes precedence
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/0024 for multiple sensor units attached to the patient, e.g. using a body or personal area network
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/0531 Measuring skin impedance
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/117 Identification of persons methods or arrangements for recognising patterns, e.g. fingerprints, G06F18/00, G06V40/00; identification of persons by analysing their voice or speech G10L17/00
• 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 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/33 specially adapted for cooperation with other devices
• 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 5/4803 Speech analysis specially adapted for diagnostic purposes
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A61B 5/6814 Head
• CPC Class Codes: G01D 21/00 : Measuring or testing not otherwise provided for
• CPC Class Codes: G01D 9/005 : Solid-state data loggers
• CPC Class Codes: G06F 16/2379 : Updates performed during online database operations; commit processing
• CPC Class Codes: G06F 16/285 : Clustering or classification
• CPC Class Codes: G06F 16/84 : Mapping; Conversion
• CPC Class Codes: G06V 10/95 : structured as a network, e.g. client-server architectures
• CPC Class Codes: G06V 40/70 : Multimodal biometrics, e.g. combining information from different biometric modalities
• CPC Class Codes: H04L 63/0861 : using biometrical features, e.g. fingerprint, retina-scan cryptographic mechanisms or cryptographic arrangements for entity authentication using biological data H04L9/3231
• CPC Class Codes: H04M 1/72412 : using two-way short-range wireless interfaces
• CPC Class Codes: H04M 1/72454 : according to context-related or environment-related conditions
• CPC Class Codes: H04M 2250/10 : including a GPS signal receiver
• CPC Class Codes: H04M 2250/12 : including a sensor for measuring a physical value, e.g. temperature or motion
• CPC Class Codes: H04W 12/06 : Authentication
• CPC Class Codes: H04W 88/02 : Terminal devices

Abstract

A system and method is provided for processing and storing captured data in a wireless communication device based on detected biometric event data. The captured data may be acquired through a data acquisition system with devices or sensors in an integrated or distributed configuration. The captured data may include multimedia data of an event with time, date and/or location stamping, and captured physiological and behavioral biometric event data in response to the event. The captured data may be dynamically stored in a data binding format or as raw data in a local host device or communicated externally to be stored in a remote host or storage. At least one user preference may be specified for linking a biometric event data to the mapped, analyzed, categorized and stored captured data in a database. Captured data may be retrieved by matching biometric event data to at least one user preference from the database.

Claims

1. A method comprising:

capturing, in a computing device, input data;

capturing, in the computing device, biometric event data via one or more biometric sensors concurrent to the capturing of the input data; and

mapping at least a portion of the biometric event data to at least a portion of the captured input data, wherein;

the mapping comprises mapping the at least a portion of the biometric event data to a biometric event database; and

the mapped at least a portion of the biometric event data indicates a behavioral condition of a user during the capturing of the input data.

2. The method according to claim 1, further comprises:

analyzing the biometric event data to establish varying degrees of the behavioral condition of the user for contrast.

3. The method according to claim 1, wherein the input data comprises one or more of audio content, video content, image content, or text content.

4. The method according to claim 1, wherein the capturing of the input data is based at least in part on a user preference.

5. The method according to claim 4, further comprising:

modifying the user preference based on the input data or the biometric event data.

6. The method according to claim 4, further comprising:

matching the biometric event data with information in the user preference or a pattern recognition database.

7. The method according to claim 1, wherein the one or more biometric sensors comprise one or more of an Electroencephalogram (EEG) sensor, Electrocardiogram (EKG) sensor, a temperature sensor, a galvanic skin response sensor, audio sensor, or an optical scanner or sensor.

8. The method according to claim 1, wherein the computing device comprises a wireless communication device.

9. The method according to claim 1, wherein the capturing of the input data is facilitated by one or more of a still camera, a video camera, a microphone, or a text input device.

10. A system, comprising:

circuitry configured to;

capture input data via an input capture device;

capture biometric event data via one or more biometric sensors concurrent to the capturing of the input data; and

map at least a portion of the biometric event data to at least a portion of the captured input data, wherein;

the mapping comprises mapping the at least a portion of the biometric event data to a biometric event database; and

the mapped at least a portion of the biometric event data indicates a behavioral condition of a user during the capturing of the input data.

11. The system according to claim 10, wherein the circuitry is configured to analyze the biometric event data to establish varying degrees of the behavioral condition of the user for contrast.

12. The system according to claim 10, wherein the captured data comprises one or more of audio, video, still image, and text content.

13. The system according to claim 10, wherein the input data is captured based at least in part on a user preference.

14. The system according to claim 13, wherein the circuitry is configured to modify the user preference based at least in part on the input data or the biometric event data.

15. The system according to claim 13, wherein the circuitry is configured to match the biometric event data with information in the user preference or a pattern recognition database.

16. The system according to claim 10, wherein the one or more biometric sensors comprise one or more of an EEG sensor, EKG sensor, a temperature sensor, a galvanic skin response sensor, audio sensor, or an optical scanner or sensor.

17. The system according to claim 10, wherein the capture device comprises one or more of a still camera, a video camera, a microphone, or a text input device.

18. A non-transitory computer-readable medium having a program recorded thereon, the program configured to perform a method when executed on a computing device, the method comprising:

capturing input data via an input capture device;

capturing biometric event data via one or more biometric sensors concurrent to the capturing of the input data; and

mapping at least a portion of the biometric event data to at least a portion of the captured input data, wherein;

the mapping comprises mapping the at least a portion of the biometric event data to a biometric event database; and

the mapped at least a portion of the biometric event data indicates a behavioral condition of a user during the capturing of the input data.

19. The non-transitory computer-readable medium according to claim 18, wherein the method further comprises analyzing the biometric event data to establish varying degrees of the behavioral condition for contrast.

20. The non-transitory computer-readable medium according to claim 18, wherein the one or more biometric sensors comprise one or more of an EEG sensor, EKG sensor, a temperature sensor, a galvanic skin response sensor, audio sensor, or an optical scanner or sensor.