Granted Patent B2

US 12,306,993 · App. 18/343,776 · Granted May 20, 2025

Inventors: Tian Hao (White Plains, NY); Umar Asif (Melbourne, AU); Stefan Harrer (Sandringham, AU); Jianbin Tang (Doncaster East, AU); Stefan von Cavallar (Sandringham, AU); Deval Samirbhai Mehta (Melbourne, AU); Jeffrey L. Rogers (Briarcliff Manor, NY); Erhan Bilal (Westport, CT); Stefan Renard Maetschke (Ascot Vale, AU)

Assignee: International Business Machines Corporation

G06F21/6263G06F18/24G06V40/20

Abstract

Claims (40)

1. A method for privacy-preserving motion analysis, the method comprising:

identifying one or more joints of a user based on collected data;

generating one or more 3D representations of the one or more joints of the user;

anonymizing the one or more 3D representations by applying thereto joint-centering and random shuffling;

classifying one or more actions of the user based on the one or more 3D representations, wherein the classifying outputs an action score; and

based on determining that an identity of the user cannot be reverse engineered from the anonymized one or more 3D representations, exporting at least one of the one or more actions and the action score.

2. The method of claim 1 , further comprising:

determining a severity of the one or more actions; and

based on the one or more actions and the action score, predicting one or more impending actions.

3. The method of claim 2 , further comprising:

based on at least one of the severity and the predicting the one or more impending actions, taking rehabilitative action.

4. The method of claim 3 , wherein the rehabilitative action is haptic feedback to the user.

5. The method of claim 1 , wherein the one or more actions are selected from a group consisting of general motion, posture, gait, a fall, a seizure, and anomalies.

6. A computer program product for privacy-preserving motion analysis, the computer program product comprising:

one or more computer-readable storage media and program instructions stored on the one or more computer-readable storage media, the program instructions including a method, the method comprising:

identifying one or more joints of a user based on collected data;

generating one or more 3D representations of the one or more joints of the user;

anonymizing the one or more 3D representations by applying thereto joint-centering and random shuffling;

classifying one or more actions of the user based on the one or more 3D representations, wherein the classifying outputs an action score; and

based on determining that an identity of the user cannot be reverse engineered from the anonymized one or more 3D representations, exporting at least one of the one or more actions and the action score.

7. The computer program product of claim 6 , further comprising:

determining a severity of the one or more actions; and

based on the one or more actions and the action score, predicting one or more impending actions.

8. The computer program product of claim 7 , further comprising:

based on at least one of the severity and the predicting the one or more impending actions, taking rehabilitative action.

9. The computer program product of claim 8 , wherein the rehabilitative action is haptic feedback to the user.

10. The computer program product of claim 6 , wherein the one or more actions are selected from a group comprising general motion, posture, gait, a fall, a seizure, and anomalies.

11. A computer system for privacy-preserving motion analysis, the computer system comprising:

one or more computer processors, one or more computer-readable storage media, and program instructions stored on one or more of the computer-readable storage media for execution by at least one of the one or more processors, the program instructions including a method, the method comprising:

identifying one or more joints of a user based on collected data;

generating one or more 3D representations of the one or more joints of the user;

anonymizing the one or more 3D representations by applying thereto joint-centering and random shuffling;

classifying one or more actions of the user based on the one or more 3D representations, wherein the classifying outputs an action score; and

based on determining that an identity of the user cannot be reverse engineered from the anonymized one or more 3D representations, exporting at least one of the one or more actions and the action score.

12. The computer system of claim 11 , further comprising:

determining a severity of the one or more actions; and

based on the one or more actions and the action score, predicting one or more impending actions.

13. The computer system of claim 12 , further comprising:

based on at least one of the severity and the predicting the one or more impending actions, taking rehabilitative action.

14. The computer system of claim 13 , wherein the rehabilitative action is haptic feedback to the user.

Assignments (1)

Continuity (2)

References Cited (29)