DYNAMIC MOOD SENSING

• US 20090002178A1
• Filed: 06/29/2007
• Published: 01/01/2009
• Est. Priority Date: 06/29/2007
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Multerer, Boyd C., Wilfrid, Eric Peter, Guday, Shai, Wilson, Andrew David, O'Rourke, Bret P., Russell, Zachary L.
• Application Number:
  US11/771,461
• Publication Number:
  US 20090002178A1
• Time in Patent Office: Days
• US Class Current: 340/573.100
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• 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 3/0346 with detection of the device orientation or free movement in a 3D space, e.g. 3D mice, 6-DOF [six degrees of freedom] pointers using gyroscopes, accelerometers or tilt-sensors

Abstract

A system that facilitates personalized sensing is provided. The system includes a sensing component that determines one or more user states based in part on a detected context and a mood component that employs the detected user states to indicate a dynamic condition of a user.

Claims

1. A system that facilitates personalized sensing, comprising:

a sensing component that determines one or more user states based in part on a detected context; and

a mood component that employs the determined user states to indicate a dynamic condition of a user.

2. The system of claim 1, further comprising a local or remote data store to maintain the user states.

3. The system of claim 1, further comprising a user component that includes files or data structures that maintain states about the user and is employed to determine future states.

4. The system of claim 1, the mood component is employed to dynamically adjust a user interface.

5. The system of claim 1, the sensing component is associated with an audio sensor, a facial recognition sensor, a biometric sensor, a background monitor, a classifier, or a device sensor.

6. The system of claim 1, the mood component is associated with a schema to affect operations and control of a user interface.

7. The system of claim 6, the schema includes a mood interface control, a mood sharing preference, a mood sensing option, a mood application control, a mood monitoring control, a mood learning control, or a general control.

8. The system of claim 1, the sensing component is employed to determine user or group context.

10. The system of claim 1, the mood component is employed to control one or more mood applications.

11. The system of claim 10, the mood applications include a mood metadata attachment that is automatically applied to an application.

12. The system of claim 10, the mood applications are associated with interpersonal data sharing, context data sharing, or virtual media presentations.

13. The system of claim 1, the mood component is associated with a gaming application.

14. The system of claim 13, the gaming application is monitored to detect a potential health issue.

15. The system of claim 14, further comprising one or more game options that are altered based upon detected moods.

9. The system 1, the mood component is associated with a personal item worn by a user.

16. A method to automatically adjust an interface, comprising:

monitoring human activities to determine a user state;

analyzing the user state to determine an interface adjustment; and

applying the interface adjustment to an application to coincide with the user state.

17. The method of claim 16, further comprising analyzing a background activity or a biometric sensor to determine the user state.

18. The method of claim 16, further comprising monitoring a game application to determine a health problem for a user.

19. The method of claim 18, further comprising generating a schema to control mood interface options and preferences.

20. An adaptable interface system, comprising:

means for detecting one or more mood states of a user or group;

means for analyzing the mood states of the user or group; and

means for controlling the mood states with respect to a selected application.