SYSTEMS AND DEVICES FOR MEASURING, CAPTURING, AND MODIFYING PARTIAL AND FULL BODY KINEMATICS

• US 20160038088A1
• Filed: 07/31/2015
• Published: 02/11/2016
• Est. Priority Date: 07/31/2014
• Status: Abandoned Application

• Current Assignee: David Lari, Luke Clauson, Mike Schaller
• Original Assignee: David Lari, Luke Clauson, Mike Schaller
• Inventors: Clauson, Luke, Lari, David, Schaller, Mike
• Application Number:
  US14/815,851
• Publication Number:
  US 20160038088A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2505/09 Rehabilitation or training
• CPC Class Codes: A61B 2560/0475 Special features of memory means, e.g. removable memory cards
• CPC Class Codes: A61B 2560/0487 Special user inputs or interfaces
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 2562/0247 Pressure sensors
• CPC Class Codes: A61B 2562/0261 Strain gauges
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/0024 for multiple sensor units attached to the patient, e.g. using a body or personal area network
• 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 5/1123 Discriminating type of movement, e.g. walking or running A61B5/1116, A61B5/112 take precedence
• CPC Class Codes: A61B 5/6807 Footwear
• CPC Class Codes: A61B 5/6898 Portable consumer electronic devices, e.g. music players, telephones, tablet computers
• CPC Class Codes: A61B 5/7246 using correlation, e.g. template matching or determination of similarity
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence

Abstract

Devices, systems, and methods are disclosed for measuring, capturing, and modifying the motion of a body, for providing visual comparisons, metrics of comparison, and for generating motion standards. Motion standards may be manually or algorithmically modified to a different desired motion standard. The motion standards may be generated during motion capture and may be used as references for comparing amongst other motion standards or captured motions. Comparisons may generally be used for training and improving upon motions, such as athletic related motions, rehabilitation related motions, and the like. In certain embodiments data capture is done primarily by sensor units worn on a body which communicate amongst each other and with a secondary processing unit, which analyzes the data, provides means of comparing and modifying a captured motion, and which stores or relays such data to a tertiary device, such as a remote database.

Claims

1. A system for measuring, tracking, and capturing a user'"'"'s body kinematics comprising:

at least one sensor configured to transduce and provide kinematic information about a movement of the user'"'"'s body; and

a computer interface device with processor, memory and display configured to analyze the kinematic information about said motion, wherein,

the computer interface device is configured to provide a means of modifying a motion standard, and compare the kinematic information to said modified motion standard; and

output the results of the comparison through the display

2. The system of claim 1, wherein the sensor is a gyroscopic sensor, an accelerometer, a strain sensor, or a pressure sensor.

3. The system of claim 1, wherein the motion standard is determined by recording the user'"'"'s own movement.

4. The system of claim 1, wherein the motion standard is determined by manual or automatic programmatic modification or manipulation of a recorded movement.

5. The system of claim 1, where the motion standard is determined by artificially defining a motion

6. The system of claim 1, wherein the motion standard is downloaded from a database of other users'"'"' motion standards.

7. The system of claim 1, wherein the motion standard is peer-to-peer shared between users.

8. The system of claim 1, wherein the analyzing kinematic information compensates for body differences between that of the motion standard and that of the user.

9. The system of claim 1, wherein the computer interface device comprises a mobile phone, a laptop computer, or a wearable computer.

10. The system of claim 1, wherein the sensors communicate to the computer interface device via wired or wireless communication.

11. The system of claim 10, wherein the wireless communication uses a protocol selected from one of radio frequency, Bluetooth, Zigbee, Ultra Wide Band or WiFi.

12. The system of claim 1, wherein the means of modifying a motion standard is a person dragging a wire frame node in a specific time point from one location to another and then the computer algorithmically modifying the preceding and following time points such that the newly generated modified motion profile passes smoothly through the new node location generated from the user drag.

13. A method of measuring, tracking, and capturing a user'"'"'s body kinematics comprising:

receiving inputs from sensors relating to movement of a user;

analyzing the sensor inputs to determine kinematic state information of the user;

comparing the kinematic information to that of a motion standard; and

representing the result of the comparison to the user via an interface.

14. The method of claim 13, wherein the motion standard comprises a database of the user'"'"'s own movement.

15. The method of claim 13, wherein the motion standard comprises a database of movement of individuals other than the user.

16. The method of claim 13, wherein the motion standard comprises an artificially created motion standard.