INTERACTIVE VIRTUAL CARE

• US 20170181667A1
• Filed: 03/15/2017
• Published: 06/29/2017
• Est. Priority Date: 08/19/2011
• Status: Active Grant

• Current Assignee: Accenture Global Services Limited (Accenture PLC)
• Original Assignee: Accenture Global Services Limited (Accenture PLC)
• Inventors: Gettelman, Craig A., Wan, Dadong, Pogula, Ankur, Reierson, Ben, Erickson, Terrianne
• Granted Patent: US 9,861,300 B2
• Time in Patent Office: Days
• CPC Class Codes: A61B 2505/07 Home care
• CPC Class Codes: A61B 3/0041 characterised by display arrangements
• CPC Class Codes: A61B 34/10 Computer-aided planning, simulation or modelling of surgical operations
• CPC Class Codes: A61B 34/25 User interfaces for surgical systems
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/0062 Arrangements for scanning
• CPC Class Codes: A61B 5/0077 Devices for viewing the surface of the body, e.g. camera, magnifying lens
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/112 Gait analysis
• CPC Class Codes: A61B 5/4803 Speech analysis specially adapted for diagnostic purposes
• CPC Class Codes: A61B 5/6898 Portable consumer electronic devices, e.g. music players, telephones, tablet computers
• CPC Class Codes: A61B 5/744 Displaying an avatar, e.g. an animated cartoon character
• CPC Class Codes: G06T 2207/10021 Stereoscopic video; Stereoscopic image sequence
• CPC Class Codes: G06T 2207/10028 Range image; Depth image; 3D point clouds
• CPC Class Codes: G06T 2207/30004 Biomedical image processing
• CPC Class Codes: G06T 7/0014 using an image reference approach
• CPC Class Codes: G06V 40/23 Recognition of whole body movements, e.g. for sport training
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/50 : for simulation or modelling of medical disorders
• CPC Class Codes: G16H 50/70 : for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16Z 99/00 : Subject matter not provided for in other main groups of this subclass

Abstract

An interactive virtual care system may include a user sensory module to acquire multi-modal user data related to user movement. A data analysis module may compare the multi-modal user data to predetermined historical user data and/or statistical norm data for users to identify an anomaly in the user movement.

Claims

1. An interactive virtual care system comprising:

a user sensory module to acquire multi-modal user data related to user movement; and

a data analysis module, executed by a processor, to compare the multi-modal user data to at least one of predetermined historical user data and statistical norm data for users to identify at least one anomaly in the user movement.

2. The system of claim 1, wherein the user sensory module includes a depth camera to acquire the multi-modal user data.

3. The system of claim 1, wherein the user sensory module includes a microphone array to acquire multi-modal user data related to speech.

4. The system of claim 1, further comprising a responder sensory module to acquire multi-modal responder data related to responder movement, wherein the data analysis module compares the multi-modal user data to the multi-modal responder data to identify at least one anomaly in the user movement.

5. The system of claim 1, further comprising a responder sensory module to acquire multi-modal responder data for a responder disposed at a remote location from a user.

6. The system of claim 1, further comprising a responder interface module to display a computer-generated version of the user movement that highlights movements of predetermined portions of a user'"'"'s body.

7. The system of claim 6, wherein the responder interface module further displays a real-time version of the user movement at least one of adjacent to and superimposed on the computer-generated version of the user movement.

8. The system of claim 6, wherein the responder interface module further highlights the anomaly in the user movement in the computer-generated version of the user movement.

9. The system of claim 1, further comprising a user interface module to display a computer-generated version of the user movement that highlights movements of predetermined portions of a user'"'"'s body.

10. The system of claim 9, wherein the user interface module further displays a real-time version of the user movement at least one of adjacent to and superimposed on the computer-generated version of the user movement.

11. The system of claim 9, wherein the user interface module further highlights the anomaly in the user movement in the computer-generated version of the user movement.

12. The system of claim 9, further comprising a responder interface module to display the computer-generated version of the user movement that highlights the movements of the predetermined portions of the user'"'"'s body, wherein the responder interface module is disposed at a remote location compared to the user interface module.

13. The system of claim 1, wherein for comparison of the multi-modal user data to the predetermined historical user data, a range of the predetermined historical user data is selectable.

14. A method for interactive virtual care, the method comprising:

acquiring multi-modal user data related to user movement; and

comparing, by a processor, the multi-modal user data to at least one of predetermined historical user data and statistical norm data for users to identify at least one anomaly in the user movement.

15. The method of claim 14, further comprising acquiring the multi-modal user data by a depth camera.

16. The method of claim 14, further comprising acquiring multi-modal user data related to speech by a microphone array.

17. The method of claim 14, further comprising displaying a computer-generated version of the user movement that highlights movements of predetermined portions of a user'"'"'s body.

18. The method of claim 17, further comprising displaying a real-time version of the user movement at least one of adjacent to and superimposed on the computer-generated version of the user movement.

19. The method of claim 17, further comprising highlighting the anomaly in the user movement in the computer-generated version of the user movement.

20. A non-transitory computer readable medium having stored thereon a computer executable program to provide interactive virtual care, the computer executable program when executed causes a computer system to:

acquire multi-modal user data related to user movement; and

compare, by a processor, the multi-modal user data to at least one of predetermined historical user data and statistical norm data for users to identify at least one anomaly in the user movement.