MISALIGNMENT DETECTION OF A WEARABLE DEVICE

• US 20160278647A1
• Filed: 03/26/2015
• Published: 09/29/2016
• Est. Priority Date: 03/26/2015
• Status: Abandoned Application

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: Vogel, Brian K., Wei, John C., Yeung, Fai Angus
• Application Number:
  US14/670,284
• Publication Number:
  US 20160278647A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2560/0266 for monitoring or limiting apparatus function
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 2562/0257 Proximity sensors
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/6815 Ear
• CPC Class Codes: A61B 5/6817 Ear canal
• CPC Class Codes: A61B 5/6823 Trunk, e.g., chest, back, abdomen, hip
• CPC Class Codes: A61B 5/6824 Arm or wrist
• CPC Class Codes: A61B 5/6844 Monitoring or controlling distance between sensor and tissue
• CPC Class Codes: A61B 5/6898 Portable consumer electronic devices, e.g. music players, telephones, tablet computers
• CPC Class Codes: A61B 5/7221 Determining signal validity, reliability or quality A61B5/7207 and A61B5/7217 take precedence
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: A61B 5/7405 using sound
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

Technology for detecting whether a wearable device is misaligned is disclosed. The device can include a number of sensors, such as heart rate, temperature, or other sensors used to sense a physiologic aspect of the user, such as heart rate and can further contain components capable of providing data as to the proper alignment or placement of the wearable device on the user. The wearable device may communicate with a computing device, such as a mobile device which can receive data from the wearable device and output notifications to the user, including notifications about proper or improper placement or alignment of the wearable device.

Claims

1. A wearable heart rate monitor comprising:

a heart rate detector;

a position detector;

a housing configured to engage a body feature or surface in a manner that allows for heart rate detection; and

a communication module configured to transmit heart rate and position data to a receiver.

2. The wearable heart rate monitor of claim 1, wherein the position detector includes a member selected from the group consisting of:

an accelerometer, a gyroscope, a temperature sensor, a proximity detector or a combination thereof.

3. The wearable heart rate monitor of claim 1, wherein the communication module is further configured to transmit the heart rate and position data to the receiver to enable a computing device associated with the receiver to determine whether the wearable heart rate monitor is currently worn and aligned or misaligned with the body feature or surface based on the heart rate and position data.

4. The wearable heart rate monitor of claim 1, further comprising a signal output for signaling the user as to the alignment or misalignment of the wearable device.

5. The wearable heart rate monitor of claim 8, wherein the signal is an audible signal, a visual signal, or a tactile signal.

6. The wearable heart rate monitor of claim 1, wherein the housing of the wearable heart rate monitor has a shape configured to allow the wearable heart rate monitor to be inserted and held within a user'"'"'s ear in order to detect heart rate information.

7. The wearable heart rate monitor of claim 6, further comprising a soft and flexible tip member configured to provide a friction fit within the user'"'"'s ear.

8. The wearable heart rate monitor of claim 6, further comprising a speaker configured to broadcast an audio signal to the user'"'"'s ear.

9. The wearable heart rate monitor of claim 1, wherein the housing of the wearable heart rate monitor has a shape configured to allow the wearable heart rate monitor to be attached to a user'"'"'s wrist in order to detect heart rate information.

10. The wearable heart rate monitor of claim 1, wherein the housing of the wearable heart rate monitor has a shape configured to allow the wearable heart rate monitor to be attached to a users'"'"' chest in order to detect heart rate information.

11. A heart rate sensing system, comprising:

a wearable heart rate monitoring device having a heart rate detector and a position detector; and

a mobile device in communication with the heart rate monitoring device, the mobile device comprising;

a processor;

a memory device including a data store to store a plurality of data and instructions that, when executed by the processor, cause the processor to execute;

a data identification module configured to receive acceleration data for the heart rate monitoring device;

a feature extraction module configured to determine one or more features of the acceleration data; and

a classification module configured to compare the one or more features of the acceleration data to historical data to determine whether the heart rate monitoring device is currently worn; and

a misalignment module configured to determine that the wearable heart rate monitoring device is misaligned with a body feature or surface when heart rate information collected by the heart rate detector does not correspond with expected heart rate values.

12. The system of claim 11, wherein the classification module is further configured to provide a first output value indicating that the wearable heart rate monitoring device is misaligned with the body feature or surface or a second output value indicating that the wearable heart rate monitoring device is not misaligned with the body feature or surface worn.

13. The system of claim 11, wherein:

the feature extraction module is further configured to calculate a change in magnitude between a first acceleration vector and a second acceleration vector included in the acceleration data; and

the classification module is further configured to compare the change in magnitude to the historical data to determine whether the heart rate monitoring device is currently worn.

14. The system of claim 11, wherein the feature extraction module is further configured to calculate a change in magnitude (d) between a first acceleration vector and a second acceleration vector included in the acceleration data using |√

{square root over (R_2x²+R_2y²+R_2z²)}−

√

{square root over (R_1x²+R_1y²+R_1z²)}|, wherein;

the first acceleration vector is represented as R₁;

the second acceleration vector is represented as R₂;

R_1x, R_1y, and R_1z are measured values associated with R₁; and

R_2x, R_2y, and R_2z are measured values associated with R₂.

15. The system of claim 11, wherein:

the feature extraction module is further configured to calculate a misalignment vector as a difference between a first acceleration vector and a second acceleration vector included in the acceleration data; and

the classification module is further configured to compare the misalignment vector to the historical data to determine whether the heart rate monitoring device is misaligned with the body feature or surface worn.

16. The system of claim 11, wherein the feature extraction module is further configured to calculate a misalignment vector (r) as a difference between a first acceleration vector and a second acceleration vector included in the acceleration data using (R_1x−

R_2x, R_1y−

R_2y, R_1z−

R_2z), wherein;

R_1x, R_1y, and R_1z are measured values associated with the first acceleration vector (R₁); and

R_2x, R_2y, and R_2z are measured values associated with the second acceleration vector (R₂).

17. The system of claim 11, wherein:

the feature extraction module is further configured to determine a gravity component from the acceleration data; and

the classification module is further configured to compare the gravity component from the acceleration data to the historical data to determine whether the heart rate monitoring device is currently worn.

18. The system of claim 11, wherein the mobile device further comprises a notification module configured to generate a notification for display on the mobile device, wherein notification indicates that the wearable heart rate monitoring device is misaligned with the body feature or surface worn, wherein the notification includes recommendations for wearable heart rate monitoring devices of other sizes.

19. The system of claim 11, wherein the wearable heart rate monitoring device is insertable in a user'"'"'s ear.

20. The system of claim 11, wherein:

the wearable heart rate monitoring device includes a temperature sensor;

the data identification module of the mobile device is further configured to receive temperature data from the temperature sensor; and

the classification module of the mobile device is further configured to compare the temperature data to historical data to determine whether the wearable device is currently worn.

21. A method for generating notifications for a heart rate monitoring device, the method comprising:

under control of one or more computer systems configured with executable instructions;

determining that the heart rate monitoring device is currently worn via one or more sensors installed on the heart rate monitoring device, using one or more processors of the computer systems;

determining that the heart rate monitoring device is misaligned with a body feature or surface via the one or more sensors installed on the heart rate monitoring device, using the one or more processors of the computer systems;

determining that a plurality of heart rate values that are collected via the heart rate monitoring device are not within an acceptable range, using the one or more processors of the computer systems; and

generating a notification indicating that the heart rate values are not within the acceptable range, wherein the notification includes a recommendation for an alternative model of the heart rate monitoring device to improve an accuracy of the heart rate values, using the one or more processors of the computer systems.

22. The method of claim 21, further comprising providing the notification for display on a mobile device that is in communication with the heart rate monitoring device.

23. The method of claim 21, wherein the heart rate monitoring device is an in-ear heart rate monitoring headphone.

24. The method of claim 21, wherein determining that the heart rate monitoring device is currently worn further comprises:

collecting sensor data that characterizes the heart rate monitoring device from at least one of an accelerometer, a gyroscope, a temperature sensor, or a proximity sensor installed on the heart rate monitoring device; and

providing the sensor data to a classifier, wherein the classifier compares the sensor data to historical data in order to determine whether the heart rate monitoring device is currently worn.

25. The method of claim 21, wherein determining that the heart rate monitoring device is misaligned with the body feature or surface further comprises:

collecting sensor data that characterizes the heart rate monitoring device from at least one of an accelerometer, a gyroscope, a temperature sensor, a heart rate detector, or a proximity sensor installed on the heart rate monitoring device; and

providing the sensor data to a classifier, wherein the classifier compares the sensor data to historical data in order to determine whether the heart rate monitoring device is misaligned with the body feature or surface.