Granted Patent B2

US 12,197,448 · App. 17/107,949 · Granted Jan 14, 2025

Inventors: Todd Gray (Ottawa, CA); Vladimir Polotski (Ottawa, CA); Barry Smale (Ottawa, CA); Bernard F. Grisoni (Cordova, TN); Erik Mettala (Finksburg, MD)

Assignee: AUTONOMOUS ID CANADA INC.

G06F16/24575A43B3/34A61B5/1038A61B5/112A61B5/6807G06F16/248A61B2562/046

Abstract

Claims (27)

1. A system for determining at least one change in a user's condition, said system comprising:

at least one sensor module comprising at least one sensor for gathering gait-based biometric data from said user, said at least one sensor module being in a single device comprising at least two sensors and said at least two sensors comprising force sensors, said device being an insole for placement within a shoe of said user;

processing circuitry and at least one memory unit, said at least one memory unit having stored thereon computer-executable instructions that, when executed, implement:

a data storage module for storing data relating to baseline data, said baseline data being derived from said gait-based biometric data gathered from said at least one sensor module when said user first uses said system; and

a data processing module for receiving data from said at least one sensor module, said data processing module being for comparing characteristics of said baseline data with characteristics of said data received from said at least one sensor module; and

at least one database in communication with said data processing module, said at least one database containing data relating to a base kinematic chain model specific to said user, said base kinematic chain model being derived from said baseline data,

wherein:

said data processing module derives a current kinematic chain model from said data received from said at least one sensor module;

said data processing module compares characteristics of said current kinematic chain model with characteristics of said base kinematic chain model;

a change in said user's condition is indicated when said characteristics of said data received from said at least one sensor module are not within predetermined limits of said characteristics of said baseline data;

said insole is positioned at a single end of a kinematic chain of said user, such that said baseline data for said base kinematic chain model and said data for said current kinematic chain model are received only from said single end of said kinematic chain by way of said insole;

said at least one database stores said gait-based biometric data from a plurality of users; and

said data processing module continuously searches said gait-based biometric data to determine biomarkers for existing conditions of said users.

2. The system according to claim 1 , wherein said at least one sensor is configured to detect and measure a force applied to said at least one sensor module by a foot of said user as said user is standing or walking.

3. The system according to claim 1 , wherein said at least one sensor is configured to detect and measure pressure applied by said user's foot to said at least one sensor as said user is walking.

4. The system according to claim 1 , wherein said at least one sensor is configured to detect a force applied to different areas of said at least one sensor module by said user's foot as said user is walking.

5. The system according to claim 1 , wherein said at least one sensor comprises a plurality of sensors, each sensor being for detecting and measuring an amount of force applied to different areas of said sensor module by said user's foot.

6. The system according to claim 5 , wherein said plurality of sensors transmits said gait-based biometric data to an external device.

7. The system according to claim 4 , where data relating to said force applied to different areas of said at least one sensor module is compared by said data processing module to a plurality of models stored in said at least one database, each of said plurality of models being correlated to at least one of a range of disease related gait patterns.

8. The system according to claim 1 , wherein said data processing module employs machine learning techniques to mine said at least one database of gait-based biometric data for next biomarkers related to existing conditions of said users.

9. The system according to claim 1 , wherein said at least one database stores said gait-based biometric data from a plurality of users and said data processing module derives generalized population-based conclusions from said gait-based biometric data.

10. The system according to claim 1 , wherein at least a portion of said system is used for a gait-based identification system.

11. The system according to claim 9 , wherein said generalized population-based conclusions are used for insurance purposes.

12. The system according to claim 1 , wherein said at least one database is further populated with patient data from at least one medical facility to thereby enable said data processing module to correlate said biomarkers with said existing conditions of said users.

13. The system according to claim 1 , wherein said at least one database is populated with patient data from records of at least one medication dispensing facility to thereby enable said data processing module to correlate said biomarkers with medications for said existing conditions of said users.

14. The system according to claim 1 , wherein said at least one database is populated with pharmaceutical data from published records of at least one regulator to thereby enable said data processing module to correlate said biomarkers with known side effects of medications for said existing conditions of said users.

15. The system according to claim 1 , wherein said at least one database is populated with kinematic data from representative mathematical models to thereby enable said data processing module to correlate said biomarkers with skeletal or joint abnormalities for said existing conditions of said users.

Assignments (3)

Continuity (5)

References Cited (34)