SYSTEM AND METHOD FOR ANTICIPATING ACTIVITY USING EARPHONES WITH BIOMETRIC SENSORS

• US 20160029125A1
• Filed: 09/30/2015
• Published: 01/28/2016
• 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: ARMSTRONG, JUDD, DUDDY, STEPHEN
• Application Number:
  US14/871,953
• Publication Number:
  US 20160029125A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2503/10 Athletes
• CPC Class Codes: A61B 5/02427 Details of sensor
• 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 5/6817 Ear canal
• CPC Class Codes: A61B 5/6898 Portable consumer electronic devices, e.g. music players, telephones, tablet computers
• CPC Class Codes: H04R 2460/07 Use of position data from wide-area or local-area positioning systems in hearing devices, e.g. program or information selection

Abstract

Systems and methods are disclosed for anticipating a user'"'"'s activity using earphones with biometric sensors. In one embodiment, the system includes earphones, including: speakers; a processor; a heartrate sensor electrically coupled to the processor; and a motion sensor electrically coupled to the processor. In this embodiment, the system also includes a memory coupled to a processor and having instructions stored that, when executed by the processor: update a stored archive including historical information associated with the user'"'"'s past activity, where the archive is updated based, in part, on signals generated by the motion sensor and signals generated by the heartrate sensor; and anticipate a future activity of the user based on the updated archive.

Claims

1. A system for anticipating a user'"'"'s activity, comprising:

a pair of earphones comprising;

speakers;

a processor;

a heartrate sensor electrically coupled to processor; and

a motion sensor electrically coupled to the processor, wherein the processor is configured to process electronic input signals from the motion sensor and the heartrate sensor; and

a non-transitory computer-readable medium operatively coupled to at least one of one or more processors and having instructions stored thereon that, when executed by at least one of the one or more processors, cause the system to;

update a stored archive comprising historical information associated with the user'"'"'s past activity, wherein the archive is updated based, in part, on signals generated by the motion sensor and signals generated by the heartrate sensor; and

anticipate a future activity of the user based on the updated archive.

2. The system of claim 1, wherein the instructions, when executed by at least one of the one or more processors, further cause the system to present media content associated with the anticipated future activity to the user.

3. The system of claim 2, wherein the media content comprises songs associated with a playlist, and wherein presenting the media content to the user comprises transmitting audio data associated with the songs to the earphones and playing the songs with the earphone speakers using the transmitted audio data.

4. The system of claim 1, wherein the instructions, when executed by at least one of the one or more processors, further cause the system to display on a display a set of target goals associated with the anticipated future activity, wherein each target goal is based on the stored archive, and wherein the set of target goals comprises at least one of a target activity type, a target activity intensity, and a target activity duration.

5. The system of claim 1, wherein the instructions, when executed by at least one of the one or more processors, further cause the system to display on a display encouragement to the user for the anticipated future activity, wherein the displayed encouragement is based on the stored archive and the anticipated future activity.

6. The system of claim 1, further comprising a network interface, wherein the instructions, when executed by at least one of the one or more processors, further cause the system to use the network interface to provide a notification associated with the user'"'"'s anticipated user activity to a social network of the user.

7. The system of claim 1, wherein the archive is updated based, in part, on determining an activity the user engaged in based on signals generated by the motion sensor.

8. The system of claim 7, wherein the archive is updated based, in part, on determining a fatigue level of user while engaged in an activity based on signals generated by the heart rate sensor.

9. The system of claim 8, wherein the heartrate sensor is an optical heartrate sensor protruding from a side of the earphone proximal to an interior side of a user'"'"'s ear when the earphone is worn, and wherein the optical heartrate sensor is configured to measure the user'"'"'s blood flow and to output an electrical signal representative of this measurement to the earphones processor.

10. The system of claim 9, wherein the instructions, when executed by at least one of the one or more processors, further causes the system to calculate a heart rate variability based on signals received from the optical heartrate sensor, and wherein the fatigue level is detected based on the calculated heart rate variability.

11. The system of claim 1, wherein the instructions, when executed by at least one of the one or more processors, further causes the system to determine a location of the user based on a global positioning system, and wherein the anticipated activity of the user is based on the determined location of the user.

12. A method for anticipating a future activity of a user using earphones with biometric sensors, comprising:

monitoring a movement of the user based on electrical signals generated by a motion sensor of the earphones;

detecting a fatigue level of the user based on electrical signals generated by a heart rate sensor of the earphones;

updating a stored archive comprising historical information associated with the user'"'"'s past activity, wherein the archive is updated based, in part, on the monitored movement and detected fatigue level of the user; and

anticipating a future activity of the user based on the updated archive.

13. The method of claim 12, further comprising:

presenting media content associated with the anticipated future activity to the user.

14. The method of claim 13, wherein the media content comprises songs associated with a playlist, and wherein presenting the media content to the user comprises transmitting audio data associated with the songs to the earphones and playing the songs with speakers of the earphones using the transmitted audio data.

15. The method of claim 12, further comprising:

displaying on a display encouragement to the user for the anticipated future activity, wherein the displayed encouragement is based on the stored archive and the anticipated future activity.

16. The method of claim 12, further comprising:

providing a notification associated with the user'"'"'s anticipated user activity to a social network of the user.

17. The method of claim 12, further comprising:

displaying on a display a set of target goals associated with the anticipated future activity, wherein each target goal is based on the stored archive, and wherein the set of target goals comprises at least one of a target activity type, a target activity intensity, and a target activity duration.

18. The method of claim 12, wherein the motion sensor is an accelerometer.

19. The method of claim 12, wherein the archive is updated based, in part, on determining an activity the user engaged in based on the monitored movement of the user.

20. The method of claim 19, wherein the heartrate sensor is an optical heartrate sensor protruding from a side of the earphone proximal to an interior side of a user'"'"'s ear when the earphone is worn, and wherein the optical heartrate sensor is configured to measure the user'"'"'s blood flow and to output an electrical signal representative of this measurement.

21. The method of claim 20, further comprising:

calculating a heart rate variability based on signals received from the optical heartrate sensor, and wherein the fatigue level is detected based on the calculated heart rate variability.

22. The method of claim 12, further comprising:

determining a location of the user using a global positioning system, and wherein the step of anticipating the activity of the user is based on the determined location of the user.