Control system and method for non-gait ankle and foot motion in human assistance device

US10307271B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10307271-B2
Application numberUS-201615341817-A
CountryUS
Kind codeB2
Filing dateNov 2, 2016
Priority dateFeb 17, 2012
Publication dateJun 4, 2019
Grant dateJun 4, 2019

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Abstract

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A human assistance device has a rate gyro, first accelerometer, and second accelerometer disposed on a mobile body for sensing a physical state of the mobile body to provide a physical state measurement. The human assistance device can be a prosthetic, orthotic, and robotic device. An ATAN2 function is performed on an output of the first accelerometer and an output of the second accelerometer. An output of the rate gyro and an output of the ATAN2 function is filtered to provide a filtered physical state measurement. The filtered physical state measurement is applied to a reference function to generate a reference command to control a non-gait motion of an actuator in the human assistance device. The reference command controls the human assistance device, for example to provide a shifting foot position while seated, with a natural, biological motion, without an artificial or mechanical appearance.

First claim

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What is claimed: 1. A method of controlling a human assistance device, comprising: disposing a rate gyro, first accelerometer, and second accelerometer on a mobile body of the human assistance device for sensing a physical state of the mobile body to provide a physical state measurement; performing an ATAN2 function based on an output of the first accelerometer and an output of the second accelerometer; filtering electronically an output of the rate gyro and an output of the ATAN2 function using a controller of the human assistance device to provide a filtered physical state measurement, wherein the filtering is implemented according to A 1 *(θ PREV +{dot over (θ)} s *Δt)+(1−A 1 )*β, where A1 is a calibration coefficient, θ PREV is a previous output of the filtering, Δt is a rate of time change of {dot over (θ)} s , {dot over (θ)} s is the output of the rate gyro, and β is the output of the ATAN2 function; providing a reference function based on a non-gait activity; and applying the filtered physical state measurement to the reference function to generate a reference command using the controller to control a non-gait motion of the human assistance device. 2. The method of claim 1 , wherein the reference command controls an actuator in the human assistance device. 3. The method of claim 2 , further including applying a signal representative of a position of the actuator to the reference function to generate the reference command. 4. The method of claim 1 , further including: measuring an ankle moment, wherein the human assistance device comprises an ankle prosthesis; applying a gain to the ankle moment; and summing the ankle moment after gain with an output of the reference function to generate the reference command. 5. The method of claim 4 , wherein the gain is implemented as A 2 cos ( M A M T * π ) - A 2 , where A 2 is a calibration coefficient, M A is the ankle moment, and M T is a maximum ankle moment. 6. A method of controlling a human assistance device, comprising: disposing a plurality of sensors on a mobile body of the human assistance device to measure a physical state of the mobile body and obtain a physical state measurement from the sensors; filtering electronically the physical state measurement from the sensors using a controller of the human assistance device to provide a filtered physical state measurement, wherein the filtering is implemented according to A 1 *(θ PREV +{dot over (θ)} s *Δt)+(1−A 1 )*β, where A1 is a calibration coefficient, θ PREV is a previous output of the filtering, Δt is a rate of time change of {dot over (θ)} s , {dot over (θ)} s is an output of a rate gyro on the mobile body, and β is an output of an ATAN2 function; providing a reference function based on a non-gait activity; and applying the filtered physical state measurement to the reference function to generate a reference command using the controller to control a non-gait motion of the human assistance device. 7. The method of claim 6 , wherein the sensors include the rate gyro, a first accelerometer, and a second accelerometer. 8. The method of claim 7 , further including performing the ATAN2 function based on an output of the first accelerometer and an output of the second accelerometer, wherein filtering the physical state measurement includes filtering an output of the rate gyro and an output of the ATAN2 function. 9. The method of claim 6 , wherein the reference command controls an actuator in the human assistance device, and a signal representative of a position of the actuator is applied to the reference function to generate the reference command. 10. The method of claim 6 , further including: measuring an ankle moment, wherein the human assistance device comprises an ankle prosthesis; applying a gain to the ankle moment; and summing the ankle moment after gain with an output of the reference function to generate the reference command. 11. The method of claim 10 , wherein the gain is implemented as A 2 cos ( M A M T * π ) - A 2 , where A 2 is a calibration coefficient, M A is the ankle moment, and M T is a maximum ankle moment. 12. A method of controlling a human assistance device, comprising: sensing a physical state of a mobile body of the human assistance device by providing a physical state measurement of the physical state; filtering electronically the physical state measurement of the physical state of the mobile body using a controller of the human assistance device to provide a filtered physical state measurement, wherein the filtering is implemented according to A 1 *(θ PREV +{dot over (θ)} s *Δt)+(1−A 1 )*β, where A1 is a calibration coefficient, θ PREV is a previous output of the filtering, Δt is a rate of time change of {dot over (θ)} s , {dot over (θ)} s is an output of a rate gyro on the mobile body, and β is an output of an ATAN2 function; providing a reference function based on a non-gait activity; and applying the filtered physical state measurement to the reference function to generate a reference command using the controller to control a non-gait motion of the human assistance device. 13. The method of claim 12 , further including disposing the rate gyro, a first accelerometer, and a second accelerometer on the mobile body for sensing the physical state of the mobile body. 14. The method of claim 13 , further including performing an ATAN2 function based on an output of the first accelerometer and an output of the second accelerometer, wherein filtering the physical state measurement includes filtering an output of the rate gyro and an output of the ATAN2 function. 15. The method of claim 12 , wherein the reference command controls an actuator in the human assistance device, and a signal representative of a position of the actuator is applied to the reference function to generate the reference command. 16. The method of claim 12 , further including: measuring an ankle moment, wherein the human assistance device comprises an ankle prosthesis; applying a gain to the ankle moment; and summing the ankle moment after gain with an output of the reference function to generate the reference command. 17. The method of claim 16 , wherein the gain is implemented as A 2 cos (

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Classifications

  • for measuring torque, e.g. hinge or turning moment, moment of force · CPC title

  • for measuring acceleration · CPC title

  • for measuring force, pressure or mechanical tension · CPC title

  • for measuring angular position · CPC title

  • for measuring dimensions, e.g. a distance · CPC title

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What does patent US10307271B2 cover?
A human assistance device has a rate gyro, first accelerometer, and second accelerometer disposed on a mobile body for sensing a physical state of the mobile body to provide a physical state measurement. The human assistance device can be a prosthetic, orthotic, and robotic device. An ATAN2 function is performed on an output of the first accelerometer and an output of the second accelerometer. …
Who is the assignee on this patent?
Oessur Iceland Ehf
What technology area does this patent fall under?
Primary CPC classification A61F2/60. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Jun 04 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).