System and method for interpreting a user's psychological state from sensed biometric information and communicating that state to a social networking site

• US 8,666,672 B2
• Filed: 11/21/2009
• Issued: 03/04/2014
• Est. Priority Date: 11/21/2009
• Status: Active Grant

• Current Assignee: Gula Consulting Limited Liability Company (Intellectual Ventures LLC)
• Original Assignee: Radial Comm Research LLC (Intellectual Ventures LLC)
• Inventors: Winarski, Tyson York
• Primary Examiner(s): HARWARD, SOREN T
• Application Number:
  US12/623,414
• Publication Number:
  US 20110124977A1
• Time in Patent Office: 1,564 Days
• US Class Current: 702/19
• CPC Class Codes: A61B 2560/0271 using a remote monitoring unit
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• 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 5/145 Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissuemeasuring of blood pressure or blood flow A61B5/02; non-radiation detecting or locating of foreign bodies in blood A61B5/06
• CPC Class Codes: A61B 5/1455 using optical sensors, e.g. spectral photometrical oximeters
• 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: G06F 2203/011 Emotion or mood input determined on the basis of sensed human body parameters such as pulse, heart rate or beat, temperature of skin, facial expressions, iris, voice pitch, brain activity patterns
• CPC Class Codes: G06F 3/011 Arrangements for interaction with the human body, e.g. for user immersion in virtual reality blind teaching G09B21/00
• CPC Class Codes: G06F 3/015 Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

The present invention is a mood sensing and communicating system and method that includes a biometric sensor configured to sense biometric information from a person. A mood interpretive system is supported on a computing device or on a remote server. The mood interpretive system is in communication with the biometric sensor and is configured to assign a psychological or emotional mood state with the sensed biometric information. A communication system is supported on the computing device and is configured to communicate the assigned psychological mood state across an Internet to a web-site for positing on a web page. The method includes sensing biometric information from a user with a biometric sensor, associating a psychological mood state with the sensed biometric information with a mood interpretive module, and communicating the assigned psychological mood state to a web-site supported on a server across an Internet.

Claims

1. A method comprising:

selecting a primary biometric parameter and a secondary biometric parameter, the primary and secondary biometric parameters being two different parameters selected from the group consisting of body temperature, skin temperature, heart rate, blood oxygen levels, and skin moisture;

creating a first linear correlation between biometric information of the primary biometric parameter and an ordered range of primary mood states;

creating a second linear correlation between biometric information of the secondary biometric parameter and an ordered range of secondary mood states;

receiving primary biometric information for the primary biometric parameter from a first sensor;

interpreting the primary biometric information using the first linear correlation, thereby determining a primary mood state of a person;

receiving secondary biometric information for the secondary biometric parameter from a second sensor;

interpreting the secondary biometric information using the second linear correlation, thereby determining a secondary mood state of the person;

using a processor to determine a specific psychological mood state of the person, which comprises the primary mood state and secondary mood state;

communicating the specific psychological mood state to a server.

2. The method of claim 1, further comprising:

selecting a tertiary biometric parameter, the tertiary biometric parameter being a different parameter from the primary biometric parameter and the secondary biometric parameter, and further being selected from the group consisting of body temperature, skin temperature, heart rate, blood oxygen levels, and skin moisture;

creating a third linear correlation between biometric information of the tertiary biometric parameter and an ordered range of tertiary mood states;

receiving tertiary biometric information for the tertiary biometric parameter from a third sensor; and

interpreting the tertiary biometric information using the third linear correlation, thereby determining a tertiary mood state of the person;

and wherein the specific psychological mood state of the person further comprises the tertiary mood state.

3. The method of claim 1, further comprising periodically repeating the steps of sensing primary biometric information, interpreting the primary biometric information, sensing secondary biometric information, interpreting the secondary biometric information, determining a specific psychological mood state, and communicating the specific psychological mood state.

4. The method of claim 1, wherein the ordered range of primary mood states or the ordered range of secondary mood states comprise one or more of happy, sad, relaxed, angry, stressed, tired, excited, or combinations thereof.

5. The method of claim 1, further comprising allowing manual adjustment of the first linear correlation or the second linear correlation.

6. The method of claim 1, further comprising allowing manual adjustment of the specific psychological mood state.

7. The method of claim 1, wherein the server is part of a social networking website.

8. A system comprising:

a processor; and

a memory, comprising

a first linear correlation between biometric information of a primary biometric parameter and an ordered range of primary mood states;

a second linear correlation between biometric information of a secondary biometric parameter and an ordered range of secondary mood states; and

instructions that, when executed, cause the processor to;

receive primary biometric information from a first sensor configured to sense the primary biometric parameter;

interpret the primary biometric information using the first linear correlation, thereby determining a primary mood state of a person;

receive secondary biometric information from a second sensor configured to sense the secondary biometric parameter;

interpret the secondary biometric information using the second linear correlation, thereby determining a secondary mood state of the person;

determine a specific psychological mood state of the person, which comprises the primary mood state and secondary mood state; and

communicate the specific psychological mood state to a server;

wherein the primary biometric parameter and the secondary biometric parameter are two different parameters selected from the group consisting of body temperature, skin temperature, heart rate, blood oxygen levels, and skin moisture.

9. The system of claim 8, further comprising a sensor configured to sense the primary biometric parameter.

10. The system of claim 8, further comprising a sensor configured to sense the secondary biometric parameter.

11. The system of claim 8,

wherein the memory further comprises:

a third linear correlation between biometric information of a tertiary biometric parameter and an ordered range of tertiary mood states; and

instructions that, when executed, cause the processor to;

receive tertiary biometric information from a third sensor configured to sense the tertiary biometric parameter; and

interpret the tertiary biometric information using the third linear correlation, thereby determining a tertiary mood state of the person;

wherein the tertiary biometric parameter is different from both the primary and secondary biometric parameters, and selected from the group consisting of body temperature, skin temperature, heart rate, blood oxygen levels, and skin moisture; and

wherein the specific psychological mood state of the person further comprises the tertiary mood state.

12. The system of claim 8, wherein the processor, the memory, and one or more sensors are housed within a cellular phone.

13. The system of claim 8, further comprising a touch-screen graphical user interface.

14. The system of claim 11, wherein the memory further comprises instructions that allow manual adjustment of the first linear correlation or the second linear correlation through the touch-screen graphical user interface.

15. The system of claim 11, wherein the memory further comprises instructions that allow manual adjustment of the specific psychological mood state through the touch-screen graphical user interface.

16. The system of claim 8, wherein the ordered range of primary mood states or the ordered range of secondary mood states comprise one or more of happy, sad, relaxed, angry, stressed, tired, excited, or combinations thereof.