SYSTEM AND METHOD FOR ANALYZING GAIT USING FABRIC SENSORS

• US 20120253234A1
• Filed: 03/05/2012
• Published: 10/04/2012
• Est. Priority Date: 09/03/2009
• Status: Active Grant

• Current Assignee: Ming Young Biomedical Corp.
• Original Assignee: Ming Young Biomedical Corp.
• Inventors: Yang, Chang-Ming, Yang, Tzu Lin, Yang, Ching Wen, Yang, Hao
• Granted Patent: US 8,961,439 B2
• Time in Patent Office: Days
• US Class Current: 600/595
• CPC Class Codes: A61B 5/1038 Measuring plantar pressure during gait
• CPC Class Codes: A61B 5/112 Gait analysis
• CPC Class Codes: A61B 5/6807 Footwear

Abstract

A system for analyzing gait using textile sensors is disclosed. A system includes a sock sensing system, which comprises a sock and at least one switch, tension sensor, or pressure sensor for sensing a posture or movement; and a processor configured to receive signals from the sock sensing system and to analyze a gait parameter, wherein the processor is configured to calculate the gait parameter using a signal from the sock sensing system as a trigger point.

Claims

1. A system for analyzing gait using textile sensors, comprising:

a sock sensing system, which comprises a sock and at least one switch, tension sensor, or pressure sensor for sensing a posture or movement; and

a processor configured to receive signals from the sock sensing system and to analyze a gait parameter, wherein the processor is configured to calculate the gait parameter using a signal from the sock sensing system as a trigger point.

2. The system for analyzing gait of claim 1, wherein the sock sensing system further comprising a shoe or an insole.

3. The system for analyzing gait of claim 2, wherein at least one sensor is installed in the sock, the shoe or the insole,

wherein the at least one sensor comprises at least one conductive material installed in the sock, and at least one corresponding electronics installed at at least one corresponding position in the shoe or the insole;

or

wherein the at least one sensor comprises at least one electronics installed in the sock, and at least one corresponding conductive material installed at at least one corresponding position in the shoe or the insole.

4. The system for analyzing gait of claim 2, wherein the sensors are installed in socks, shoes or insoles, one conductive material is installed in a sock and a variable resistor, piezoelectric material, variable capacitor or variable inductor is installed in the lining of the corresponding shoe or insole.

5. The system for analyzing gait of claim 1, wherein the variation of the frequency, period, voltage, or current of the signal sensed by the sock sensing system are used to analyzed the gait of the user.

6. The system for analyzing gait of claim 5, wherein charge/discharge, alternating current, or direct current model are used to analyze the frequency, period, voltage, or current of the signal sensed by the sock sensing system.

7. The system for analyzing gait of claim 6, wherein an electronic switch s used to speed up the discharge process.

8. The system for analyzing gait of claim 1, wherein the stride length, velocity, acceleration, displacement, or walking distance may be obtained;

the angle, angular velocity, angular acceleration, swing distance, swing angle, swing angular velocity, swing angular acceleration of a joint may be obtained.

9. The system for analyzing gait of claim 1, wherein the ground slope may be detected.

10. The system for analyzing gait of claim 1, wherein the textile sensors are digital switch, digital tension sensor, digital pressure sensor, analog switch, analog tension sensor or analog pressure sensor.

11. The system for analyzing gait of claim 1, wherein there are at least two textile sensors that may sense the posture or movement of human body and at least one textile sensor is connected with an electronic component in series or parallel so that two wires being connected to processor may read the logic state of each textile sensor.

12. The system for analyzing gait of claim 11, wherein the electronic component is a resistor, inductor, capacitor, diode, transistor, amplifier, or integrated circuit.

13. The system for analyzing gait of claim 1, wherein the center of pressure, center of mass, total pressure, posture state, total movement mass, impulse, force, torque, momentum, angular momentum, weight, rotor inertia, potential, kinetic energy can be obtained by using sensor.

14. The system for analyzing gait of claim 1, wherein the type of shoes worn by the user can be sensed.

19. The method for analyzing gait using fabric sensors of claim 2, wherein the sensors may detect a three-dimensional gait analysis diagram for each foot.

15. A method for analyzing gait using textile sensors, comprising:

detecting, using a processor, a signal of a posture or movement change generated by a sock sensing system comprising the processor and a sensor in a sock, in a sock and shoe combination, or in a sock and insole combination,

analyzing the signal to generate a gait parameter, wherein the gait parameter is generated by a program processing module and the gait parameter is calculated using a signal from at least one sensor in the sock sensing system as a trigger point.

16. The method for analyzing gait using textile sensors of claim 15, wherein changes in bending angle of knee or hip joint can be predicted based on the generated gait analysis parameters;

or

the posture or state of feet can be sensed by using the knee or hip joint sensor.

17. The method for analyzing gait using textile sensors of claim 15, wherein an accelerometer, tilt sensor, video camera or gyroscope is connected to the processor in order to improve the accuracy of sensing body movement.

18. The method for analyzing gait using textile sensors of claim 17, wherein the processor may use the sensors below feet as reference points to correct signal from the accelerometer, tilt sensor, video camera or gyroscope for reading the angle, signal or displacement.

20. The system for analyzing gait using textile sensors of claim 15, wherein the posture, falling, or movement of human body can be predicted.