SYSTEM AND METHOD FOR PHYSICAL REHABILITATION AND MOTION TRAINING

• US 20170136296A1
• Filed: 11/17/2016
• Published: 05/18/2017
• Est. Priority Date: 11/18/2015
• Status: Abandoned Application

• Current Assignee: Matias Emilio Molinas, Osvaldo Andres Barrera
• Original Assignee: Matias Emilio Molinas, Osvaldo Andres Barrera
• Inventors: Barrera, Osvaldo Andres, Molinas, Matias Emilio
• Application Number:
  US15/353,777
• Publication Number:
  US 20170136296A1
• Time in Patent Office: Days
• CPC Class Codes: A61B 2505/09 Rehabilitation or training
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/0077 Devices for viewing the surface of the body, e.g. camera, magnifying lens
• CPC Class Codes: A61B 5/1116 Determining posture transitions
• CPC Class Codes: A61B 5/1121 Determining geometric values, e.g. centre of rotation or angular range of movement
• CPC Class Codes: A61B 5/1128 using image analysis A61B5/1127 takes precedence
• CPC Class Codes: A61B 5/4519 Muscles A61B5/389, A61B5/224 take precedence
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61B 5/6828 Leg
• CPC Class Codes: A61B 5/6898 Portable consumer electronic devices, e.g. music players, telephones, tablet computers
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/7405 using sound
• CPC Class Codes: A61B 5/743 Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
• CPC Class Codes: A61B 5/744 Displaying an avatar, e.g. an animated cartoon character
• CPC Class Codes: G06V 40/23 Recognition of whole body movements, e.g. for sport training
• CPC Class Codes: G08C 2201/93 Remote control using other portable devices, e.g. mobile phone, PDA, laptop
• CPC Class Codes: G09B 19/003 Repetitive work cycles; Sequence of movements
• CPC Class Codes: G16H 20/30 relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
• CPC Class Codes: H04Q 9/00 Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom

Abstract

A system comprising wearable sensor modules and communicatively connected mobile computing devices for assisting a user in physical rehabilitation and exercising. The modules comprise sensors and the mobile computing device comprises device sensors. An application operably installed in memory of the mobile computing device provides a set of step-by-step instructions to a user for wearing the sensor modules in a particular way over an anatomical part depending on an exercise to be done by the user. The application further acquires a first set of data generated by the sensors and a second set of data generated by the device sensors. It then calculates a set transformation parameters based on the first set of data relative to the second set of data to do a sensor-anatomy registration of sensors to the anatomical part while the mobile computing device is placed substantially aligned with the wearable sensors over the anatomical part.

Claims

1. A method for assisting a user in physical rehabilitation and exercising, said method comprising:

attaching a sensor module over an anatomical part of said user, said sensor module being configured to transmit a first set of data generated by one or more sensors included in said sensor module; and

placing a mobile computing device substantially aligned with said anatomical part, said mobile computing device comprising one or more device sensors capable of generating a second set of data with respect to a coordinate system of said mobile computing device;

wherein, an application at said mobile computing device processes said first set of data and said second set of data to find out a transformation of said first set of data relative to said second set of data to calculate a position, an orientation and a motion of said anatomical part based on said second set of data acquired from said one more device sensors.

2. The method as in claim 1, wherein said application comprises a smart graphical user interface (GUI) module, a smart camera module, a prediction module, a gesture control module, a feedback module, a position awareness module, an artificial Intelligence module and an electric stimulation module.

3. The method as in claim 2, wherein said smart graphical user interface module provides a set of instructions including a plurality of two-dimensional and/or three-dimensional visual instructions, a plurality of audible instructions and a plurality of tactile instructions to said user.

4. The method as in claim 2, wherein said smart camera module provides a virtual camera capable of rendering optimum view of said user as a whole and/or of said anatomical part relevant to an exercise.

5. The method as in claim 4, wherein said virtual camera is configurable to set at a desired position and focus.

6. The method as in claim 5, wherein said desired position and focus of said virtual camera are controllable through a gesture command or a verbal command or a touch command.

7. The method as in claim 4, wherein said virtual camera moves automatically to show different targets as per sequence of said exercise.

8. The method as in claim 3, wherein said plurality of two-dimensional and/or three-dimensional visual instructions involve a display of a virtual movement trajectory on a graphical user interface as part of said set of instruction for said user.

9. The method as in claim 3, wherein an actual motion/movement/position of said anatomical part is compared with an ideal motion/movement/position to provide said set of instructions.

10. The method as in claim 3, wherein said set of instructions includes a contextual and a symbolic information.

11. The method as in claim 2, wherein said prediction module estimates a range of motion, acceleration, force, metabolism, calories and activity of a main muscle groups involved in an exercise.

12. The method as in claim 3, wherein said application determines said orientation and said position of said anatomical part with respect to a plurality of real world coordinates to provide said set of instructions.

13. A system for assisting a user in physical rehabilitation and exercising comprising:

one or more wearable sensor modules, said one or more sensor modules comprising one or more sensors;

a mobile computing device communicatively connected to said one or more sensor modules, said mobile computing device comprising one or more device sensors, a memory and a processor; and

an application operably installed in said memory of said mobile computing device that, when executed by said processor;

provides a set of step-by-step instructions to said user for wearing said one or more sensor modules in a particular way over an anatomical part depending on an exercise to be done by said user;

acquires a first set of data generated by said one or more sensors;

acquires a second set of data generated by said one or more device sensors; and

calculates a transformation of said first set of data relative to said second set of data to do a registration of said one or more sensors to said anatomical part while said mobile computing device is placed substantially aligned with said one or more wearable sensors over said anatomical part.

14. The system as in claim 13, wherein a position, an orientation and a motion of said anatomical part are determined by said application once said registration of said one or more sensors to said anatomical part is done.

15. The system as in claim 13, wherein any one axis of said one or more device sensors coincides with one axis of said anatomical part.

16. The system as in claim 13, wherein said application comprises a smart graphical user interface (GUI) module, a smart camera module, a prediction module, a gesture control module, a feedback module, a position awareness module, an artificial Intelligence module and an electric stimulation module.

17. The system as in claim 16, wherein said smart graphical user interface module provides a plurality of information including a plurality of two-dimensional and/or three-dimensional visual instructions, a plurality of audible instructions and a plurality of tactile instructions to said user.

18. The system as in claim 17, wherein one or more display devices communicatively connected to said mobile computing device are selected by said application for display of said plurality of two-dimensional and/or three-dimensional visual instructions based on type of said exercise and on the availability of said one or more display devices.

19. The system as in claim 16, wherein said smart camera module provides a virtual camera for visualization of said anatomical part from a plurality of views, from a plurality of angles and from a plurality of distances.

20. The system as in claim 19, wherein said virtual camera is controllable through a gesture command or a verbal command or a touch command for obtaining said plurality of views, said plurality of angles and said plurality of distances.

21. The system as in claim 17, wherein said plurality of two-dimensional and/or three-dimensional visual instructions include a display of a desired movement trajectory and an actual movement trajectory of said anatomical part on a graphical user interface.

22. The system as in claim 16, wherein said prediction module estimates a range of motion, acceleration, force, metabolism, calories and activity of a main muscle groups involved in said exercise.

23. The system as in claim 14, wherein said application determines said orientation and said position of said anatomical part with respect to a plurality of real world coordinates.

24. A non-transitory computer-readable storage medium having embodied thereon a program executable by a processor to perform a method for assisting a user in physical rehabilitation and exercising, said method comprising:

providing a plurality of instructions for attaching a sensor module over an anatomical part of said user, said sensor module being configured to transmit a first set of data generated by one or more sensors included in said sensor module;

receiving said first set of data from said sensor module;

acquiring a second set of data from a mobile computing device positioned substantially aligned with said anatomical part, said mobile computing device comprising one or more device sensors capable of generating said second set of data with respect to a coordinate system of said mobile computing device;

calculating a set of transformation parameters based on said first set of data relative to said second set of data to carry out a sensor-anatomy registration of said one or more sensors to said anatomical part;

tracking a position, an orientation and a motion of said anatomical part based on said set of transformation parameters; and

providing a plurality of visual, audible and tactile information to said user for correctly performing a physical exercise involving said anatomical part.