SYSTEM AND METHOD FOR PROVIDING BIOMETRIC AND CONTEXT BASED MESSAGING

• US 20160117937A1
• Filed: 10/27/2014
• Published: 04/28/2016
• Est. Priority Date: 10/27/2014
• Status: Abandoned Application

• Current Assignee: Bloom Technologies NV
• Original Assignee: Bloom Technologies NV
• Inventors: Penders, Julien, Altini, Marco, Dy, Eric, Berset, Torfinn
• Application Number:
  US14/524,640
• Publication Number:
  US 20160117937A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G09B 5/00 Electrically-operated educational appliances working with questions and answers G09B7/00; simulators G09B9/00; advertising or displaying in general G09F
• CPC Class Codes: G16H 20/70 relating to mental therapies, e.g. psychological therapy or autogenous training
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46

Abstract

A system suitable for generating messages based on biometric and contextual data and methods for making and using the same. One or more sensors can be used to measure biometric and/or contextual data. The measured data are analyzed using behavior analytics to capture behavior of a selected user. The behavior is analyzed with messaging analytics to generate personalized messages related to the behavior. The message preferably is personalized at at least one level, such as time, place and format of message delivery, content of the message, and tone of the message. The message personalization can further adapt to changes in the user'"'"'s behavior and/or preferences. Thereby, the method and system advantageously can provide biometric and context based messaging for motivating healthy behavior.

Claims

1. A method for generating a personalized message for motivating behavior change based on biometric and contextual data, comprising:

receiving at least one of physical data, physiological data and environmental data from a sensor associated with a user device;

extracting the biometric data and contextual data from the received data;

analyzing selected biometric data with relevant contextual data to form respective behavior markers;

generating a behavior model from the behavior markers;

converting the behavior model into a plurality of message attributes;

creating the personalized message based upon the plurality of message attributes; and

delivering the personalized message to the user device.

2. The method of claim 1, wherein said extracting the biometric data and the contextual data comprises one of:

extracting the biometric data from the received physical or physiological data and extracting the contextual data from the received physical or environmental data based upon the extracted biometric data; and

extracting the contextual data from the received physical or environmental data and extracting the biometric data from the received physical or physiological data based upon the extracted contextual data.

3. The method of claim 1, wherein at least one of said extracting the biometric data and the contextual data from the received data, said combining the selected biometric data with the relevant contextual data, and said generating the behavior model from the behavior markers is personalized based upon a change in the contextual data over time.

4. The method of claim 1, wherein at least one of said extracting the biometric data and the contextual data from the received data, said combining the selected biometric data with the relevant contextual data, and said generating the behavior model from the behavior markers is personalized based upon a change over time in user data provided via the user device.

5. The method of claim 1, wherein said converting the behavior model includes specifying a time at which the personalized message should be delivered to the user device.

6. The method of claim 5, wherein said specifying the time at which the personalized message should be delivered to the user device includes scheduling the personalized message for delivery to the user device based upon at least one of daily routine data, location data, and a predetermined user action being performed on the user device.

7. The method of claim 1, wherein said creating the personalized message includes scheduling the personalized message for delivery to the user device.

8. The method of claim 7, wherein said creating the personalized message comprises dynamically creating the personalized message based upon the plurality of message attributes.

9. The method of claim 7, wherein said creating the personalized message further comprises providing the plurality of message attributes to a database system, selecting one or more messages from among a plurality of messages available from the database system based upon the plurality of message attributes, reading the selected messages from the database system, and filtering the selected messages to identify the personalized message.

10. The method of claim 9, further comprising storing metadata for uniquely characterizing each of the plurality of messages in the database system, wherein said selecting the one or more messages includes comparing the metadata for the plurality of messages with the plurality of message attributes.

11. The method of claim 1, wherein said creating the personalized message includes customizing the personalized message based upon user data provided via the user device.

12. The method of claim 11, wherein said creating the personalized message includes at least one of customizing the personalized message based upon a change in the user data over time and filtering the personalized message based upon at least one of messaging history, the user data, and user feedback.

13. A computer program product for generating a personalized message for motivating behavior change based on selected biometric and related contextual data, the computer program product being encoded on non-transitory machine-readable storage media and comprising:

instruction for receiving at least one of physical data, physiological data and environmental data from a sensor associated with a user device;

instruction for extracting biometric data and contextual data from the received data;

instruction for selecting the selected biometric data from the extracted biometric data;

instruction for identifying the related contextual data being relevant to the selected biometric data;

instruction for processing the selected biometric data with the related contextual data to form respective behavior markers;

instruction for generating a behavior model from the behavior markers;

instruction for converting the behavior model into a plurality of message attributes;

instruction for creating the personalized message based upon the plurality of message attributes; and

instruction for delivering the personalized message to the user device.

14. The computer program product of claim 13, wherein said instruction for creating the personalized message includes instruction for providing the plurality of message attributes to a database system, instruction for selecting one or more messages from among a plurality of messages available from the database system based upon the plurality of message attributes, instruction for reading the selected messages from the database system, and instruction for filtering the selected messages to identify the personalized message.

15. The computer program product of claim 14, further comprising instruction for storing metadata for uniquely characterizing each of the plurality of messages in the database system, wherein said instruction for selecting the one or more messages includes instruction for comparing the metadata for the plurality of messages with the plurality of message attributes.

16. A system for generating a personalized message for motivating behavior change based on biometric and contextual data, comprising:

a user device associated with a sensor; and

a messaging system, comprising;

a measurement system for receiving at least one of physical data, physiological data and environmental data from the sensor associated with the user device;

a behavior analytics system for extracting the biometric data and contextual data from the received data, analyzing selected biometric data with relevant contextual data to form respective behavior markers, generating a behavior model from the behavior markers; and

a messaging analytics system for converting the behavior model into a plurality of message attributes, creating the personalized message based upon the plurality of message attributes, and delivering the personalized message to the user device.

17. The system of claim 16, wherein said user device is a smartphone, and wherein said sensor is selected from the group consisting of an accelerometer, a motion sensor, a Global Positioning System device, a camera, a light emitting diode, and an optical sensor embedded in said smartphone.

18. The system of claim 16, wherein said sensor includes at least one wearable sensor for providing at least one of the physical data, the physiological data and the environmental data on a continuous basis.

19. The system of claim 16, wherein said messaging analytics system selects one or more messages from among a plurality of messages available from a database system based upon the plurality of message attributes, reads the selected messages from the database system, and filters the selected messages to identify the personalized message.

20. The system of claim 16, further comprising an information system for storing a plurality of messages and metadata for uniquely characterizing each of the plurality of messages, wherein said messaging analytics system creates the personalized message by comparing the metadata for the plurality of messages with the plurality of message attributes.