BEHAVIOR MODIFICATION RECOMMENDER

• US 20090264711A1
• Filed: 04/17/2008
• Published: 10/22/2009
• Est. Priority Date: 04/17/2008
• Status: Abandoned Application

• Current Assignee: Motorola, Inc. (Motorola Solutions, Inc.)
• Original Assignee: Motorola, Inc. (Motorola Solutions, Inc.)
• Inventors: Schuler, Francesca, Jonnalagadda, Krishna
• Application Number:
  US12/104,839
• Publication Number:
  US 20090264711A1
• Time in Patent Office: Days
• US Class Current: 600/300
• 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: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

A method and apparatus for behavior modification is provided herein. During operation an apparatus (100) learns what context causes desired and undesired physiological parameters and then coaches a user to be aware of context causing undesired behavior and avoid future occurrences. The apparatus may then recommend behavior modification prior to the parameter reaching elevated status. Because an individual will be warned when situations exist that will cause an undesired physiological parameters, the apparatus will suggest to the user a method to alleviate the situation, for example, substituting an activity or context that creates desired physiological patterns. The user will then be able to take appropriate steps to alleviate the situation.

Claims

1. A method for facilitating behavior modification, the method comprising the steps of:

monitoring a user'"'"'s physiological parameter;

monitoring a user'"'"'s context;

deriving relationships between the user'"'"'s physiological parameter and the user'"'"'s context, wherein the derivation takes place over the course of several days across several locations;

learning of changes in derived relationships over time; and

predicting either a desired or undesired physiological parameter based on the derived and learned changes in derived relationships.

2. The method of claim 1 wherein the context comprises at least one of the following:

the user'"'"'s location,

the user'"'"'s current topic of conversation,

who is in the user'"'"'s vicinity,

who the user is talking to,

calendar information,

scheduled events, or

applications used.

3. The method of claim 1 further comprising the step of:

providing the user a warning of the prediction.

4. The method of claim 1 wherein the step of monitoring the user'"'"'s physiological parameters comprises the step of monitoring with a biosensor.

5. The method of claim 4 wherein the biosensor comprises a biosensor taken from the group consisting of a heart-rate monitor, an activity and motion detector, an accelerometer, an activity impact sensor, a pressure sensor, a blood-pressure monitor, a respiratory sensor, a blood sugar monitor, and a hydration sensor.

6. The method of claim 1 wherein the step of monitoring the user'"'"'s context comprises the step of monitoring the user'"'"'s context with a GPS receiver, short range communication circuitry including Bluetooth, or voice-recognition circuitry.

7. The method of claim 6 wherein the step of monitoring a user'"'"'s context further comprises accessing a database to associate a location with a place of business.

8. The method of claim 1 wherein a relationship exists between the user'"'"'s physiological parameter and the user'"'"'s context when it has been determined that the context causes a predictable outcome in the user'"'"'s physiological parameter.

9. The method of claim 1 further comprising the step of:

providing the user an alternative activity when an undesired physiological parameter is predicted.

10. The method of claim 9 wherein the alternative activity is found to cause a predictable desired physiological parameter.

11. The method of claim 1 wherein the physiological parameter comprises stress.

12. The method of claim 1 wherein the physiological parameter comprises blood sugar level, joint wear, or a person'"'"'s gait or posture.

13. The method of claim 1 further comprising the step of:

learning of changes in derived relationships over time; and

predicting either a desired or undesired physiological parameter based on the derived and learned relationships.

14. An apparatus comprising:

a biosensor monitoring a user'"'"'s physiological parameter;

context-aware circuitry monitoring a user'"'"'s context; and

logic circuitry deriving relationships between the user'"'"'s physiological parameter and the user'"'"'s context and predicting either a desired or undesired physiological parameter based on the derived relationships, wherein the derivation takes place over the course of several days across several locations.

15. The apparatus of claim 14 wherein the context comprises at least one of the following:

the user'"'"'s location,

the user'"'"'s current topic of conversation,

who is in the user'"'"'s vicinity,

who the user is talking to,

calendar information,

scheduled events, or

applications used.

16. The apparatus of claim 14 further comprising:

display circuitry providing the user a warning of the prediction.

17. The apparatus of claim 14 wherein the biosensor comprises a biosensor taken from the group consisting of a heart-rate monitor, an activity and motion detector, an accelerometer, an activity impact sensor, a pressure sensor, a blood-pressure monitor, a respiratory sensor, a blood sugar monitor, and a hydration sensor.

18. The apparatus of claim 14 wherein the context-aware circuitry comprises a GPS receiver, Bluetooth circuitry, or voice-recognition circuitry.

19. The apparatus of claim 14 further comprising a database associating a location with a place of business.

20. The apparatus of claim 14 wherein a relationship exists between the user'"'"'s physiological parameter and the user'"'"'s context when it has been determined that the context causes a predictable outcome in the user'"'"'s physiological parameter.