DEVIATION-INDUCED DYNAMIC MODULATION OF IMPULSE RESPONSE FOR DETECTION AND MODELING

• US 20170286786A1
• Filed: 04/01/2016
• Published: 10/05/2017
• Est. Priority Date: 04/01/2016
• Status: Abandoned Application

• Current Assignee: RPX Corporation
• Original Assignee: DAQRI, LLC
• Inventors: Nick, Teresa Ann, Berman, Laura, Barnehama, Arye
• Application Number:
  US15/089,345
• Publication Number:
  US 20170286786A1
• Time in Patent Office: Days
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/6803 Head-worn items, e.g. helmets, masks, headphones or goggles
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: G06V 40/10 Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
• CPC Class Codes: G06V 40/15 Biometric patterns based on physiological signals, e.g. heartbeat, blood flow
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A wearable computing device includes a display device for displaying augmented reality (AR) images and a biometric monitor for monitoring biometric sensor data obtained by a biometric sensor. The biometric monitor determines whether the biometric data indicates that a user associated with the biometric data could be experiencing a health-related problem. The biometric monitor is configured with various modules to perform deviation-induced dynamic modulation in making this determination.

Claims

1. A biometric monitor for monitoring provided biometric sensor data, the biometric monitor comprising:

a machine-readable memory storing computer-executable instructions; and

at least one hardware processor in communication with the machine-readable memory that, when the computer-executable instructions are executed, configures the biometric monitor to;

receive biometric sensor data;

determine whether the biometric sensor data is out of an expected range;

in response to the determination that the biometric sensor data is out of an expected range, adjust a first weighting factor by a predetermined amount;

determine whether the first weighting factor is out of an expected range;

in response to the determination that the first weighting factor is out of the expected range, increment a counter associated with the first weighting factor;

compute a biometric deviation sensor value based on the first weighting factor, the received biometric sensor data, and a previously computed biometric deviation sensor value; and

communicate the computed biometric deviation sensor value via a communication interface communicatively coupled to the at least one hardware processor.

2. The biometric monitor of claim 1, wherein the first weighting factor is adjusted by incrementing the first weighting factor by the predetermined amount.

3. The biometric monitor of claim 1, wherein the first weighting factor is adjusted by decrementing the first weighting factor by the predetermined amount.

4. The biometric monitor of claim 1, wherein the determination that the first weighting factor is out of the expected range comprises comparing the first weighting factor with a minimum weighting factor threshold, and the counter is associated with the minimum weighting factor threshold.

5. The biometric monitor of claim 4, wherein the biometric monitor is further configured to:

compare the counter with a minimum counter threshold; and

based on the comparison of the counter with the minimum counter threshold, execute one or more training operations to train the biometric monitor based on further received biometric sensor data.

6. The biometric monitor of claim 1, wherein the determination that the first weighting factor is out of the expected range comprises comparing the first weighting factor with a maximum weighting factor threshold, and the counter is associated with the maximum weighting factor threshold.

7. The biometric monitor of claim 1, wherein the biometric monitor is further configured to:

determine whether the computed biometric deviation sensor value exceeds a maximum biometric deviation sensor value threshold;

determine whether the computer biometric deviation sensor value is less than a minimum biometric deviation sensor value threshold;

in response to the determination that the computed biometric deviation sensor value exceeds the maximum biometric deviation sensor value threshold, execute at least one notification operation associated with the maximum biometric deviation sensor value threshold; and

in response to the determination that the computed biometric deviation sensor value is less than the minimum biometric deviation sensor value threshold, execute at least one notification operation associated with the minimum biometric deviation sensor value threshold, the at least one notification operation associated with the minimum biometric deviation sensor value threshold being different than the at least one notification operation associated with the maximum biometric deviation sensor value threshold.

8. A method for monitoring provided biometric sensor data, the method comprising:

receiving, by at least one hardware processor, biometric sensor data;

determining, by at least one hardware processor, whether the biometric sensor data is out of an expected range;

in response to the determination that the biometric sensor data is out of an expected range, adjusting, by at least one hardware processor, a first weighting factor by a predetermined amount;

determining, by at least one hardware processor, whether the first weighting factor is out of an expected range;

in response to the determination that the first weighting factor is out of the expected range, incrementing, by at least one hardware processor, a counter associated with the first weighting factor;

computing, by at least one hardware processor, a biometric deviation sensor value based on the first weighting factor, the received biometric sensor data, and a previously computed biometric deviation sensor value; and

communicating, by at least one hardware processor, the computed biometric deviation sensor value via a communication interface communicatively coupled to the at least one hardware processor.

9. The method of claim 8, wherein the first weighting factor is adjusted by incrementing the first weighting factor by the predetermined amount.

10. The method of claim 8, wherein the first weighting factor is adjusted by decrementing the first weighting factor by the predetermined amount.

11. The method of claim 8, wherein the determination that the first weighting factor is out of the expected range comprises comparing the first weighting factor with a minimum weighting factor threshold, and the counter is associated with the minimum weighting factor threshold.

12. The method of claim 11, wherein the method further comprises:

comparing the counter with a minimum counter threshold; and

based on the comparison of the counter with the minimum counter threshold, executing one or more training operations to train a biometric monitor based on further received biometric sensor data.

13. The method of claim 8, wherein the determination that the first weighting factor is out of the expected range comprises comparing the first weighting factor with a maximum weighting factor threshold, and the counter is associated with the maximum weighting factor threshold.

14. The method of claim 8, further comprising:

determining whether the computed biometric deviation sensor value exceeds a maximum biometric deviation sensor value threshold;

determining whether the computer biometric deviation sensor value is less than a minimum biometric deviation sensor value threshold;

in response to the determination that the computed biometric deviation sensor value exceeds the maximum biometric deviation sensor value threshold, executing at least one notification operation associated with the maximum biometric deviation sensor value threshold; and

in response to the determination that the computed biometric deviation sensor value is less than the minimum biometric deviation sensor value threshold, executing at least one notification operation associated with the minimum biometric deviation sensor value threshold, the at least one notification operation associated with the minimum biometric deviation sensor value threshold being different than the at least one notification operation associated with the maximum biometric deviation sensor value threshold.

15. A machine-readable medium storing computer-executable instructions that, when executed by at least one hardware processor, causes a biometric monitor to perform a plurality of operations, the operations comprising:

receiving biometric sensor data;

determining whether the biometric sensor data is out of an expected range;

in response to the determination that the biometric sensor data is out of an expected range, adjusting a first weighting factor by a predetermined amount;

determining whether the first weighting factor is out of an expected range;

in response to the determination that the first weighting factor is out of the expected range, incrementing a counter associated with the first weighting factor;

computing a biometric deviation sensor value based on the first weighting factor, the received biometric sensor data, and a previously computed biometric deviation sensor value; and

communicating the computed biometric deviation sensor value via a communication interface communicatively coupled to at least one hardware processor.

16. The machine-readable medium of claim 15, wherein the first weighting factor is adjusted by incrementing the first weighting factor by the predetermined amount.

17. The machine-readable medium of claim 15, wherein the first weighting factor is adjusted by decrementing the first weighting factor by the predetermined amount.

18. The machine-readable medium of claim 15, wherein the determination that the first weighting factor is out of the expected range comprises comparing the first weighting factor with a minimum weighting factor threshold, and the counter is associated with the minimum weighting factor threshold.

19. The machine-readable medium of claim 15, wherein the plurality of operations further comprise:

comparing the counter with a minimum counter threshold; and

based on the comparison of the counter with the minimum counter threshold, executing one or more training operations to train a biometric monitor based on further received biometric sensor data.

20. The machine-readable medium of claim 15, wherein the plurality of operations further comprise:

determining whether the computed biometric deviation sensor value exceeds a maximum biometric deviation sensor value threshold;

determining whether the computer biometric deviation sensor value is less than a minimum biometric deviation sensor value threshold;

in response to the determination that the computed biometric deviation sensor value exceeds the maximum biometric deviation sensor value threshold, executing at least one notification operation associated with the maximum biometric deviation sensor value threshold; and

in response to the determination that the computed biometric deviation sensor value is less than the minimum biometric deviation sensor value threshold, executing at least one notification operation associated with the minimum biometric deviation sensor value threshold, the at least one notification operation associated with the minimum biometric deviation sensor value threshold being different than the at least one notification operation associated with the maximum biometric deviation sensor value threshold.