SYSTEM AND METHOD FOR PROVIDING A SMART ACTIVITY SCORE USING EARPHONES WITH BIOMETRIC SENSORS

• US 20160007933A1
• Filed: 09/23/2015
• Published: 01/14/2016
• Est. Priority Date: 10/24/2013
• Status: Abandoned Application

• Current Assignee: Logitech Europe S A (Logitech International SA)
• Original Assignee: Jaybird LLC (Logitech Europe S.A)
• Inventors: WISBEY, BEN, DIESTERBECK, HAGEN, ARMSTRONG, JUDD, DUDDY, STEPHEN, SHEPERD, DAVID
• Application Number:
  US14/863,404
• Publication Number:
  US 20160007933A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2560/0443 Modular apparatus
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/0245 by using sensing means generating electric signals, i.e. ECG signals
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/1123 Discriminating type of movement, e.g. walking or running A61B5/1116, A61B5/112 take precedence
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/18 for vehicle drivers or machine operators
• CPC Class Codes: A61B 5/4809 Sleep detection, i.e. determining whether a subject is asleep or not
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes precedence
• CPC Class Codes: A61B 5/6803 Head-worn items, e.g. helmets, masks, headphones or goggles
• CPC Class Codes: A61B 5/681 Wristwatch-type devices

Abstract

A system for providing a smart activity score includes an earphone with a biometric sensor used for providing a smart activity score to a user. The system includes a movement monitoring module that monitors a movement to determine a metabolic loading associated with the movement during a score period. The system also includes a period activity score module that creates and updates a period activity score based on the metabolic loading and the movement. The period activity score is created and updated for the score period. In addition, the system includes a smart activity score module that creates and updates a smart activity score by aggregating a set of period activity scores.

Claims

1. An system for providing a smart activity score, the system comprising:

a biometric sensor coupled to an earphone configured to be worn in an ear of a user;

a movement monitoring module that monitors a movement to determine a metabolic loading associated with the movement during a score period;

a period activity score module that creates and updates a period activity score based on the metabolic loading and the movement, the period activity score created and updated for the score period; and

a smart activity score module that creates and updates a smart activity score by aggregating a set of period activity scores.

wherein at least one of the movement monitoring module, the period activity score module, and the smart activity score module is embodied in the sensor.

2. The system claim 1, wherein the metabolic loading is determined from a set of metabolic loadings, each metabolic loading determined according to user information from a user.

3. The system of claim 2,

wherein the smart activity score is associated with a measuring period;

and

wherein the smart activity score module calculates an average smart activity score from a set of past smart activity scores, each past smart activity score associated with a past measuring period.

4. The system of claim 3,

wherein the user information comprises a user lifestyle selected from a set of reference lifestyles;

and

wherein the system for providing the smart activity score further comprises a user lifestyle module that;

associates each reference lifestyle with a lower threshold score and an upper threshold score, wherein the lower threshold score and the upper threshold score associated with each reference lifestyle define a range or scores, and wherein no two ranges of scores overlap; and

changes the user lifestyle to the reference lifestyle associated with the lower threshold score not greater than the average smart activity score and the upper threshold score not less than the average smart activity score.

5. The system of claim 1, further comprising:

a period activity score multiplier module that applies a period activity score multiplier to the period activity score to create an adjusted period activity score;

wherein the smart activity score comprises an aggregation of adjusted period activity scores.

6. The system of claim 5, wherein the period activity score multiplier is directly proportional to the number of continuous score periods over which a user activity type of the movement and a user activity intensity of the movement is maintained.

7. The system of claim 5, wherein the period activity score multiplier is directly proportional to smart activity score for the current measuring period.

8. The system of claim 1, wherein the score period is ten seconds.

9. A method for providing a smart activity score, the method comprising:

detecting movement based on data received from a biometric sensor coupled to an earphone configured to be worn in an ear of a user;

monitoring detected movement to determine a metabolic loading associated with the movement during a score period;

creating and updating a period activity score based on the metabolic loading and the movement, the period activity score created and updated for the score period; and

creating and updating a smart activity score by aggregating a set of period activity scores.

10. The method of claim 9,

wherein the metabolic loading is determined from a set of metabolic loadings, each metabolic loading determined according to user information from a user;

wherein the user information comprises a user lifestyle selected from a set of reference lifestyles; and

wherein the step of determining the set of metabolic loadings is based on the user lifestyle.

11. The method of claim 10, further comprising:

associating each reference lifestyle with a lower threshold score and an upper threshold score, wherein the lower threshold score and the upper threshold score associated with each reference lifestyle define a range of scores, and wherein no two ranges of scores overlap;

calculating an average smart activity score from a set of past smart activity scores, each past smart activity score associated with a past measuring period; and

changing the user lifestyle to the reference lifestyle associated with the lower threshold score not greater than the average smart activity score and the upper threshold score not less than the average smart activity score.

12. The method of claim 9, further comprising comparing the smart activity score to a past smart activity score, the smart activity score associated with a measuring period, the past smart activity score associated with a past measuring period.

13. The method of claim 9, further comprising:

receiving a second smart activity score from a second user; and

comparing the smart activity score to the second smart activity score.

14. The method of claim 9, wherein the step of creating and updating the smart activity score further comprises:

applying a score period multiplier to the score period to create an adjusted period activity score;

wherein the smart activity score comprises an aggregation of adjusted period activity scores.

15. The method of claim 14, wherein the score period multiplier is directly proportional to the number of continuous score periods over which a user activity type of the movement and a user activity intensity of the movement is maintained.

16. The method of claim 14, wherein the score period multiplier is directly proportional to the smart activity score for the current measuring period.

17. The method of claim 9, wherein the score period is ten seconds.

18. The method of claim 9, wherein at least one of the steps of monitoring the movement, creating and updating the period activity score, and creating and updating the smart activity score comprises using a biometric sensor embodied in an earphone.

19. A system for providing a smart activity score, the system comprising:

a processor; and

at least one computer program residing on the processor;

wherein the computer program is stored on a non-transitory computer readable medium having computer executable program code embodied thereon, the computer executable program code configured to;

monitor a movement to determine a metabolic loading associated with the movement during a score period;

create and update a period activity score based on the metabolic loading and the movement during the score period;

create and update a smart activity score by aggregating a set of period activity scores;

20. A system for providing a smart activity score, the system comprising:

an earphone comprising;

a biometric sensor;

a first processor;

a wireless transceiver;

a computing device configured to communicate wirelessly with the earphone, the computing comprising;

a display;

a memory;

a second processor;

wherein at least one computer program resides at least one of the first processor and second processor, wherein the computer program is stored on a non-transitory computer readable medium having computer executable program code embodied thereon, the computer executable program code configured to;

monitor a movement to determine a metabolic loading associated with the movement during a score period;

create and update a period activity score based on the metabolic loading and the movement during the score period; and

create and update a smart activity score by aggregating a set of period activity scores.

21. The system of claim 20, wherein the computing device is a mobile phone with a touch sensitive display.

22. The system of claim 20, wherein the metabolic loading is determined from a set of metabolic loadings, each metabolic loading determined according to user information from a user.

23. The system of claim 20, wherein the smart activity score is associated with a measuring period;

and

wherein the computer executable program code is configured to calculate an average smart activity score from a set of past smart activity scores, each past smart activity score associated with a past measuring period.

24. The system of claim 20, wherein the user information comprises a user lifestyle selected from a set of reference lifestyles;

25. The system of claim 20, wherein the computer executable program code is further configured to:

associate each reference lifestyle with a lower threshold score and an upper threshold score, wherein the lower threshold score and the upper threshold score associated with each reference lifestyle define a range or scores, and wherein no two ranges of scores overlap; and

change the user lifestyle to the reference lifestyle associated with the lower threshold score not greater than the average smart activity score and the upper threshold score not less than the average smart activity score.

26. The system of claim 20, wherein the computer executable program code is further configured to:

apply a period activity score multiplier to the period activity score to create an adjusted period activity score;

wherein the smart activity score comprises an aggregation of adjusted period activity scores.

27. The system of claim 26, wherein the period activity score multiplier is directly proportional to the number of continuous score periods over which a user activity type of the movement and a user activity intensity of the movement is maintained.

28. The system of claim 26, wherein the period activity score multiplier is directly proportional to smart activity score for the current measuring period.

29. The system of claim 27, wherein the score periods are ten seconds.

30. The system of claim 20, wherein the computer executable program code is embodied on a computer readable medium embodied in a sensor configured to be attached to the body of a user.