CN107137089A - A kind of Wearable sensing shoe system and gait evaluation method - Google Patents

A kind of Wearable sensing shoe system and gait evaluation method Download PDF

Info

Publication number
CN107137089A
CN107137089A CN201710223505.8A CN201710223505A CN107137089A CN 107137089 A CN107137089 A CN 107137089A CN 201710223505 A CN201710223505 A CN 201710223505A CN 107137089 A CN107137089 A CN 107137089A
Authority
CN
China
Prior art keywords
sensing unit
motion
angle
foot
sensing
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201710223505.8A
Other languages
Chinese (zh)
Inventor
刘涛
李光毅
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhejiang University ZJU
Original Assignee
Zhejiang University ZJU
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhejiang University ZJU filed Critical Zhejiang University ZJU
Priority to CN201710223505.8A priority Critical patent/CN107137089A/en
Publication of CN107137089A publication Critical patent/CN107137089A/en
Pending legal-status Critical Current

Links

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/112Gait analysis
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802Sensor mounted on worn items
    • A61B5/6804Garments; Clothes
    • A61B5/6807Footwear

Abstract

The invention discloses a kind of Wearable sensing shoe system and gait evaluation method, it includes computer, wireless router, left foot sensing footwear, right crus of diaphragm sensing footwear, left leg motion-sensing unit, right leg motion-sensing unit, left thigh motion-sensing unit, right thigh motion-sensing unit, waist movement sensing unit.Motion-sensing unit is used for the shank, thigh and waist for being attached to human body lower limbs, can measure the posture of each limbs of lower limb.Sensing footwear are used for the three-dimensional ground reaction force and torque for measuring sole.Motion-sensing unit and power sensing unit transfer data to the LAN of wireless router by WIFI module, and computer connects the LAN and receives posture, power and torque data, then carries out gait evaluation.The system can carry out continuously measuring and analyzing, assess to body gait effectively in real time, it is easy to dress and use, cheap, and can continuously be worked under various non-lab environments.

Description

A kind of Wearable sensing shoe system and gait evaluation method
Technical field
The present invention relates to a kind of measurement of gait, analysis and assessment technology, more particularly to a kind of Wearable sensing shoe system And its analysis for gait and appraisal procedure.
Background technology
The measurement of gait, analysis and to assess be essential in clinical analysis and rehabilitation and biomechanics Research one Work, has a set of traditional metering system to be considered reliable standard by the field at present:By multiple infrared high-speed camera groups Into motion capture system add polylith static force measurement plate, motion capture system is stained with infrared anti-in each limbs of body of experimenter The mark point that luminescent material makes, catches the motion of these mark points to reduce the motion of human body limb by infrared camera, static Force plate then provides ground reaction force, and system substitutes into data at two gait that correlation is solved in predetermined modelling of human body motion Parameter.But this set system price is expensive, and need to be fixedly mounted, the requirement to light environment is high, can only survey in laboratory Amount, and effective measurement space is extremely limited.
The drawbacks of in order to solve this set system, related researchers develop many Wearables for gait analysis and passed Sensor system.Most start, single MEMS sensor such as electronic accelerometer, electronic gyroscope are used for the posture for analyzing human body, But these methods because the much noise that carries of electronic sensor in itself and measuring method it is simple and crude, it is impossible to meet system comprehensively System and accurate motion analysis.Therefore, multisensor composition Wearable system generate, and sensor blending algorithm such as Kalman filtering is used for reduction data noise, improves precision.Too many sensor is worn on the body of testee may Comfortableness is influenceed, and high is required to the synchronism of data transfer, unnecessary sensor can be reduced during gait analysis in right amount, Enough data are obtained with the sensor for trying one's best few.Researcher proposes the single pendulum and double pendulum model for lower limb, to scheme into one Step reduces the quantity of sensor, estimates the posture of other limbs to calculate gait parameter according to the measurement result of part of limb, side Just it is succinct, but precision is reduced to a certain extent.
The content of the invention
The purpose of the present invention is to overcome the deficiencies in the prior art to sense shoe system and gait evaluation side there is provided a kind of Wearable Method.
The purpose of the present invention is achieved through the following technical solutions:A kind of Wearable senses shoe system, including left small Leg motion-sensing unit, right leg motion-sensing unit, left thigh motion-sensing unit, right thigh motion-sensing unit, waist Motion-sensing unit, computer, wireless router, left foot sensing footwear, right crus of diaphragm sensing footwear;Wherein, the left leg motion-sensing Unit, right leg motion-sensing unit, left thigh motion-sensing unit, right thigh motion-sensing unit, waist movement sensing are single Member, left foot sensing footwear, right crus of diaphragm sense footwear and computer, pass through wireless router wireless connection, the left leg motion-sensing list Member, right leg motion-sensing unit, left thigh motion-sensing unit, right thigh motion-sensing unit, waist movement sensing unit It is respectively used to be attached to left leg, right leg, left thigh, right thigh and the waist of human body, measures the posture number of these body parts According to;Left foot sensing footwear and right crus of diaphragm the sensing footwear are worn on left foot and right crus of diaphragm respectively, and the ground for measuring left foot and right crus of diaphragm sole is anti- Active force and torque;The computer receives the attitude data of each body part, the ground of left and right pin sole by wireless router Face reaction force and torque data, and carry out gait evaluation according to these data.
Further, the left leg motion-sensing unit, right leg motion-sensing unit, left thigh motion-sensing list Member, the structure of right thigh motion-sensing unit, waist movement sensing unit are identical, including the first attitude transducer, first WIFI module, the first CPU, the first power module;Wherein, first attitude transducer and the first WIFI module are with first CPU is connected, and the first CPU is powered by the first power module;First attitude transducer includes gyroscope, accelerometer and magnetic Power meter, measures the magnetic field intensity in angular speed, acceleration and environment, and send data to the first CPU respectively;First CPU will Computer is sent to by the first WIFI module after data packing.
Further, right crus of diaphragm sensing footwear are identical with left foot sensor construction, including the axle power sensing unit of sole 6, The axle power sensing unit of arch of foot 6, the axle power sensing unit of heel 6.
Further, the axle power sensing unit of sole 6, the axle power sensing unit of arch of foot 6 and the axle power sensing unit knot of heel 6 Structure is identical, including the second attitude transducer, the second WIFI module, the 2nd CPU, second source module, 6 axial force sensors;Its In, the 2nd CPU connects the second attitude transducer, the second WIFI module, 6 axial force sensors respectively by second source module for power supply; 6 axial force sensor is used to measure 3 axle powers and 3 axle power squares, and sends data to the 2nd CPU;The second posture sensing Device includes gyroscope, accelerometer and magnetometer, for measuring angular speed, acceleration and magnetic field intensity, and sends data to 2nd CPU;2nd CPU will pass through the second WIFI module after the data packing of the second attitude transducer and 6 axial force sensors It is sent to computer.
A kind of gait evaluation method for applying above-mentioned Wearable to sense shoe system, comprises the following steps:
(1) by left leg motion-sensing unit, right leg motion-sensing unit, left thigh motion-sensing unit, right thigh Motion-sensing unit, waist movement sensing unit be attached to respectively the left leg of the measured, right leg, left thigh, right thigh and Waist, and left foot sensing footwear and right crus of diaphragm sensing footwear are put on, testee erects upright motionless, gathered data, single according to each sensing The attitude transducer data of member calculate its initial attitude and demarcated;
(2) testee starts walking, and testee's lower limb are calculated according to the attitude data of known each sensing unit Ankle-joint angle, knee angle, hip joint angle;
(3) according to the axle power sensing unit of sole 6, the axle power sensing unit of arch of foot 6, the axle power sensing unit of heel 63 axle pressures Power, 3 axle power squares and attitude data, calculate the ground reaction force and torque F, M of left foot sensing footwear and right crus of diaphragm sensing footwear respectively:
F=Rfore-foot×Ffore-foot+Rarch×Farch+Rheel×Fheel,
M=Rfore-foot×Mfore-foot+Rarch×March+Rheel×Mheel,
Wherein, Rfore-foot、Rarch、RheelRespectively the axle power sensing unit of sole 6, the axle power sensing unit of arch of foot 6, heel 6 The attitude matrix of axle power sensing unit, Ffore-foot、Farch、FheelAnd Mfore-foot、March、MheelRespectively the axle power of sole 6 is sensed 3 axle powers and 3 axle power squares that unit, the axle power sensing unit of arch of foot 6, the axle power sensing unit measurement of heel 6 are obtained;
(4) find out ground reaction force F maximum, divided by testee body weight, obtain standardizing pressure peak Fpeak
(5) according to ground reaction force F, threshold value is set, F is then considered as the side lower limb more than threshold value and is in stance tstance, F is then considered as t recovery phase less than threshold valueswing, calculate the time t that stridesstep=tstance+tswing, then calculate outbound Compare R=t between immediatelystance/tstep
(6) step pitch L is calculated according to areal model:
L=d1+d2+d1 '+d2 ',
D1=d11+d12,
D2=d21+d22,
D11=lshank× sin (d)=lshank× sin (c)=lshank×sin(a+b),
D12=lthigh×sin(a),
D21=lthigh×sin(e),
D22=lshank× cos (h)=lshank× cos (g+f)=lshank×cos(90-e+f),
Wherein, angle a and angle b are hip joint angle and the knee angle of back leg, and angle e and angle f are hip joint angle and the knee of foreleg Joint angle, it was found from areal model figure, angle c is angle a and angle b sums, and angle d is the angle of back leg shank and vertical direction, with angle c Equal, angle g is foreleg thigh and the angle of horizontal direction, and angle h is foreleg shank and the angle of horizontal direction, lshankAnd lthigh The shank leg length and thigh leg of respectively lower limb are long, and d1 is horizontal range of the back leg ankle-joint to hip joint, and d2 arrives for hip joint The horizontal range of foreleg ankle-joint, d11 is back leg ankle-joint to the kneed horizontal range of back leg, and d12 is that back leg knee joint is arrived The horizontal range of hip joint, d21 is hip joint to the kneed horizontal range of foreleg, and d22 is that foreleg knee joint is closed to foreleg ankle The horizontal range of section, d1 ' is horizontal range of the next step back leg ankle-joint to hip joint, and d2 ' is next step hip joint to foreleg The horizontal range of ankle-joint, d1 ' and d2 ' calculation are identical with d1 and d2, are the data of the step stepped afterwards;
(7) leg speed v=L/t is further calculatedstep
(8) to the standardization pressure peak F obtained by calculatingpeak, stride time tstep, stand up time is than R, step pitch L, leg speed v Carry out statistics and calculate average value and standard deviation, realize gait evaluation.
The beneficial effects of the invention are as follows, transducing part of the invention is made up of a double-sensing footwear and 5 motion-sensing units, Various pieces individual packages and work, it is easy to wear, by connect a common WLAN realize data synchronization and Collection, using simple.The Wearable system is cheap compared to the similar product for gait analysis, realizes the daily of gait Analysis and assessment, and can work for a long time a few hours.The gait analysis method energy of shoe system is sensed using the Wearable Comprehensive gait parameter is obtained, including:Three-dimensional joint angle, three-dimensional ground reaction force and torque.And the gait evaluation of the system Method then simplifies the complexity of calculating, is only analyzed using only the data of one dimension of sagittal plane, and before have modified Lower limb single pendulum and double pendulum model, reduce the error brought in model simplification.
Brief description of the drawings
Fig. 1 is the schematic diagram that Wearable of the present invention senses shoe system;
Fig. 2 is the gait evaluation method schematic diagram that Wearable of the present invention senses shoe system;
Fig. 3 is human body walking areal model figure simplified in gait evaluation of the present invention;
Fig. 4 is the human body lower limbs areal model figure that uses in gait evaluation of the present invention;
In figure, left leg motion-sensing unit 1, the first attitude transducer 2, gyroscope 3, accelerometer 4, magnetometer 5, One WIFI module 6, the first CPU7, the first power module 8, right leg motion-sensing unit 9, left thigh motion-sensing unit 10, Right thigh motion-sensing unit 11, waist movement sensing unit 12, computer 13, wireless router 14, the axle power of sole 6 sensing are single Member 15, left foot sensor 16, the axle power sensing unit 17 of heel 6, the second attitude transducer 18,6 axial force sensors 19, the 2nd WIFI Module 20, the 2nd CPU21, second source module 22, the axle power sensing unit 23 of arch of foot 6, right crus of diaphragm sensing footwear 24.
Embodiment
As shown in Figure 1,2,3, 4, a kind of Wearable sensing shoe system includes left leg motion-sensing unit 1, right leg fortune Dynamic sensing unit 9, left thigh motion-sensing unit 10, right thigh motion-sensing unit 11, waist movement sensing unit 12, calculating Machine 13, wireless router 14, left foot sensing footwear 16, right crus of diaphragm sensing footwear 24;Wherein, the left leg motion-sensing unit 1, the right side are small Leg motion-sensing unit 9, left thigh motion-sensing unit 10, right thigh motion-sensing unit 11, waist movement sensing unit 12, Left foot sensing footwear 16, right crus of diaphragm sensing footwear 24 are with computer 13, by the wireless connection of wireless router 14, and the left leg motion is passed Feel unit 1, right leg motion-sensing unit 9, left thigh motion-sensing unit 10, right thigh motion-sensing unit 11, waist fortune Dynamic sensing unit 12 is respectively used to be attached to the left leg of human body, right leg, left thigh, right thigh and waist, measures these limbs The attitude data at position, including acceleration, angular speed and geomagnetic field intensity, and by these data dispatch computers 13, computer 13 obtain quaternary element by expanded Kalman filtration algorithm calculating, and attitude matrix and attitude angle are calculated by four elements;Institute State left foot sensing footwear 16 and right crus of diaphragm sensing footwear 24 are worn on left foot and right crus of diaphragm respectively, the ground of measurement left foot and right crus of diaphragm sole is counter to be made Firmly and torque;The computer 13 receives the attitude data of each body part, left and right pin sole by wireless router 14 Ground reaction force and torque data, and carry out gait evaluation according to these data.
The left leg motion-sensing unit 1, right leg motion-sensing unit 9, left thigh motion-sensing unit 10, the right side are big Leg motion-sensing unit 11, waist movement sensing unit 12 structure it is identical, including the first attitude transducer 2, the first WIFI Module 6, the first CPU7, the first power module 8;Wherein, the WIFI module 6 of the first attitude transducer 2 and first is with first CPU7 is connected, and the first CPU7 is powered by the first power module 8;First attitude transducer 2 includes gyroscope 3, acceleration Meter 4 and magnetometer 5, measure the magnetic field intensity in angular speed, acceleration and environment, and send data to the first CPU7 respectively; First CPU7 is sent to computer 13 after data are packed by the first WIFI module 6.
The right crus of diaphragm sensing footwear 24 are identical with the structure of left foot sensor 16, including the axle power sensing unit 15 of sole 6, arch of foot 6 axle power sensing units 23, the axle power sensing unit 17 of heel 6.
The axle power sensing unit 15 of sole 6, the axle power sensing unit 23 of arch of foot 6 and the structure of 6 axle power sensing unit of heel 17 It is identical, including the second attitude transducer 18, the second WIFI module 20, the 2nd CPU21, second source module 22,6 axle powers sensing Device 19;Wherein, the 2nd CPU21 is powered by second source module 22, and the second attitude transducer 18, the second WIFI module are connected respectively 20th, 6 axial force sensor 19;6 axial force sensor 19 is used to measure 3 axle powers and 3 axle power squares, and sends data to second CPU21;Second attitude transducer 18 includes gyroscope 3, accelerometer 4 and magnetometer 5, for measuring angular speed, acceleration Degree and magnetic field intensity, and send data to the 2nd CPU21;2nd CPU21 passes the second attitude transducer 18 and 6 axle powers Computer 13 is sent to by the second WIFI module 20 after the data packing of sensor 19.
Described Wearable senses the gait evaluation method of shoe system, comprises the following steps:
1) it is left leg motion-sensing unit 1, right leg motion-sensing unit 9, left thigh motion-sensing unit 10, the right side is big Leg motion-sensing unit 11, waist movement sensing unit 12 are attached to the left leg of the measured, right leg, left thigh, the right side respectively Thigh and waist, and left foot sensing footwear 16 and right crus of diaphragm sensing footwear 24 are put on, testee erects upright motionless, gathered data, root Its initial attitude is calculated according to the attitude transducer data of each sensing unit and is demarcated;
2) testee starts walking, and testee's lower limb are calculated according to the attitude data of known each sensing unit Ankle-joint angle, knee angle, hip joint angle;
3) according to the axle power sensing unit 15 of sole 6, the axle power sensing unit 23 of arch of foot 6, the axle power sensing unit 17 of heel 63 Axle pressure, 3 axle power squares and attitude data, respectively calculate left foot sensing footwear 16 and right crus of diaphragm sensing footwear 24 ground reaction force and Torque F, M:
F=Rfore-foot×Ffore-foot+Rarch×Farch+Rheel×Fheel,
M=Rfore-foot×Mfore-foot+Rarch×March+Rheel×Mheel,
Wherein, Rfore-foot、Rarch、RheelRespectively the axle power sensing unit 15 of sole 6, the axle power sensing unit 23 of arch of foot 6, foot With the attitude matrix of 6 axle power sensing units 17, Ffore-foot、Farch、FheelAnd Mfore-foot、March、MheelThe respectively axle of sole 6 3 axle powers and 3 axle power squares that power sensing unit 15, the axle power sensing unit 23 of arch of foot 6, the measurement of the axle power sensing unit 17 of heel 6 are obtained;
4) find out ground reaction force F maximum, divided by testee body weight, obtain standardizing pressure peak Fpeak
5) according to ground reaction force F, threshold value is set, F is then considered as the side lower limb more than threshold value and is in stance tstance, F is then considered as t recovery phase less than threshold valueswing, calculate the time t that stridesstep=tstance+tswing, then calculate outbound Compare R=t between immediatelystance/tstep
6) step pitch L is calculated according to areal model:
L=d1+d2+d1 '+d2 ',
D1=d11+d12,
D2=d21+d22,
D11=lshank× sin (d)=lshank× sin (c)=lshank×sin(a+b),
D12=lthigh×sin(a),
D21=lthigh×sin(e),
D22=lshank× cos (h)=lshank× cos (g+f)=lshank×cos(90-e+f),
Wherein, angle a and angle b are hip joint angle and the knee angle of back leg, and angle e and angle f are hip joint angle and the knee of foreleg Joint angle, it was found from areal model figure, angle c is angle a and angle b sums, and angle d is the angle of back leg shank and vertical direction, with angle c Equal, angle g is foreleg thigh and the angle of horizontal direction, and angle h is foreleg shank and the angle of horizontal direction, lshankAnd lthigh The shank leg length and thigh leg of respectively lower limb are long, and d1 is horizontal range of the back leg ankle-joint to hip joint, and d2 arrives for hip joint The horizontal range of foreleg ankle-joint, d11 is back leg ankle-joint to the kneed horizontal range of back leg, and d12 is that back leg knee joint is arrived The horizontal range of hip joint, d21 is hip joint to the kneed horizontal range of foreleg, and d22 is that foreleg knee joint is closed to foreleg ankle The horizontal range of section, d1 ' is horizontal range of the next step back leg ankle-joint to hip joint, and d2 ' is next step hip joint to foreleg The horizontal range of ankle-joint, d1 ' and d2 ' calculation are identical with d1 and d2, are the data of the step stepped afterwards;
7) leg speed v=L/t is further calculatedstep
8) to the standardization pressure peak F obtained by calculatingpeak, stride time tstep, stand up time is than R, step pitch L, leg speed v Carry out statistics and calculate average value and standard deviation, realize gait evaluation.Gait evaluation can be by with counting obtained normal step The mode of the data comparison of state is carried out, such as is generally had:
Standardize pressure peak FpeakNormal value should be in 10N/kg-11N/kg between,
Striding the rate of change of time should not be excessive, ordinary people in below 100ms,
Normal value of the stand up time than R near 60%,
Step pitch L and leg speed v size vary with each individual, but the value of its standard deviation should not be excessive, otherwise stride and walking speed Spend irregular, instability of gait.

Claims (5)

1. a kind of Wearable senses shoe system, it is characterised in that passed including left leg motion-sensing unit (1), right leg motion Feel unit (9), left thigh motion-sensing unit (10), right thigh motion-sensing unit (11), waist movement sensing unit (12), Computer (13), wireless router (14), left foot sensing footwear (16), right crus of diaphragm sensing footwear (24) etc.;Wherein, the left leg motion Sensing unit (1), right leg motion-sensing unit (9), left thigh motion-sensing unit (10), right thigh motion-sensing unit (11), waist movement sensing unit (12), left foot sensing footwear (16), right crus of diaphragm sensing footwear (24) are with computer (13), by wireless Router (14) wireless connection, the left leg motion-sensing unit (1), right leg motion-sensing unit (9), left thigh motion Sensing unit (10), right thigh motion-sensing unit (11), waist movement sensing unit (12) are respectively used to be attached to a left side for human body Shank, right leg, left thigh, right thigh and waist, measure the attitude data of these body parts;The left foot sensing footwear (16) It is worn on the ground reaction force and torque of left foot and right crus of diaphragm, measurement left foot and right crus of diaphragm sole respectively with right crus of diaphragm sensing footwear (24); The computer (13) received by wireless router (14) attitude data of each body part, left and right pin sole ground it is anti- Active force and torque data, and carry out gait evaluation according to these data.
2. Wearable according to claim 1 senses shoe system, it is characterised in that the left leg motion-sensing unit (1), right leg motion-sensing unit (9), left thigh motion-sensing unit (10), right thigh motion-sensing unit (11), waist The structure of motion-sensing unit (12) is identical, including the first attitude transducer (2), the first WIFI module (6), the first CPU (7), first power module (8) etc.;Wherein, first attitude transducer (2) and the first WIFI module (6) with the first CPU (7) it is connected, the first CPU (7) is powered by the first power module (8);First attitude transducer (2) include gyroscope (3), Accelerometer (4) and magnetometer (5), measure the magnetic field intensity in angular speed, acceleration and environment, and send data to respectively First CPU (7);First CPU (7) is sent to computer (13) after data are packed by the first WIFI module (6).
3. a kind of Wearable sensing shoe system according to claim 1, it is characterised in that the right crus of diaphragm sensing footwear (24) with Left foot sensor (16) structure is identical, including the axle power sensing unit (15) of sole 6, the axle power sensing unit (23) of arch of foot 6, heel 6 axle power sensing units (17) etc..
4. a kind of Wearable sensing shoe system according to claim 3, it is characterised in that the axle power of sole 6 sensing is single First (15), the axle power sensing unit (23) of arch of foot 6 are identical with heel 6 axle power sensing unit (17) structure, are passed including the second posture Sensor (18), the second WIFI module (20), the 2nd CPU (21), second source module (22), 6 axial force sensors (19) etc.;Its In, the 2nd CPU (21) is powered by second source module (22), and the second attitude transducer (18), the second WIFI module are connected respectively (20), 6 axial force sensors (19);6 axial force sensor (19) is used to measure 3 axle powers and 3 axle power squares, and sends data to 2nd CPU (21);Second attitude transducer (18) includes gyroscope (3), accelerometer (4) and magnetometer (5), for surveying Angulation speed, acceleration and magnetic field intensity, and send data to the 2nd CPU (21);2nd CPU (21) is by the second posture Computer (13) is sent to by the second WIFI module (20) after the data packing of sensor (18) and 6 axial force sensors (19).
5. a kind of Wearable as claimed in claim 1 senses the gait evaluation method of shoe system, it is characterised in that including following Step:
(1) by left leg motion-sensing unit (1), right leg motion-sensing unit (9), left thigh motion-sensing unit (10), Right thigh motion-sensing unit (11), waist movement sensing unit (12) are attached to the left leg, right leg, a left side of the measured respectively Thigh, right thigh and waist, and put on left foot sensing footwear (16) and right crus of diaphragm sense footwear (24), testee erect upright it is motionless, Gathered data, calculates its initial attitude according to the attitude transducer data of each sensing unit and demarcates.
(2) testee starts walking, and the ankle of testee's lower limb is calculated according to the attitude data of known each sensing unit Joint angle, knee angle, hip joint angle.
(3) according to the axle power sensing unit (15) of sole 6, the axle power sensing unit (23) of arch of foot 6, the axle power sensing unit (17) of heel 6 3 axle pressure, 3 axle power squares and attitude data, respectively calculate left foot sensing footwear (16) and right crus of diaphragm sense footwear (24) ground it is anti- Active force and torque F, M:
F=Rfore-foot×Ffore-foot+Rarch×Farch+Rheel×Fheel,
M=Rfore-foot×Mfore-foot+Rarch×March+Rheel×Mheel,
Wherein, Rfore-foot、Rarch、RheelRespectively the axle power sensing unit (15) of sole 6, the axle power sensing unit (23) of arch of foot 6, foot With the attitude matrix of 6 axle power sensing units (17), Ffore-foot、Farch、FheelAnd Mfore-foot、March、MheelRespectively sole 6 Axle power sensing unit (15), the axle power sensing unit (23) of arch of foot 6, the axle power sensing unit (17) of heel 6 obtained 3 axle powers of measurement and 3 axle power squares.
(4) find out ground reaction force F maximum, divided by testee body weight, obtain standardization pressure peak Fpeak
(5) according to ground reaction force F, threshold value is set, F is then considered as the side lower limb more than threshold value and is in stance tstance, F Then it is considered as t recovery phase less than threshold valueswing, calculate the time t that stridesstep=tstance+tswing, then calculate stand up time Compare R=tstance/tstep
(6) step pitch L is calculated according to areal model:
L=d1+d2+d1 '+d2 ',
D1=d11+d12,
D2=d21+d22,
D11=lshank× sin (d)=lshank× sin (c)=lshank×sin(a+b),
D12=lthigh×sin(a),
D21=lthigh×sin(e),
D22=lshank× cos (h)=lshank× cos (g+f)=lshank×cos(90-e+f),
Wherein, angle a and angle b are hip joint angle and the knee angle of back leg, and angle e and angle f are hip joint angle and the knee joint of foreleg Angle, it was found from areal model figure, angle c is angle a and angle b sums, and angle d is the angle of back leg shank and vertical direction, with angle c phases It is foreleg thigh and the angle of horizontal direction Deng, angle g, angle h is foreleg shank and the angle of horizontal direction, lshankAnd lthighPoint Not Wei lower limb shank leg length and thigh leg it is long, d1 is the horizontal range that back leg ankle-joint arrives hip joint, before d2 is arrived for hip joint The horizontal range of leg ankle-joint, d11 is back leg ankle-joint to the kneed horizontal range of back leg, and d12 is back leg knee joint to hip The horizontal range in joint, d21 is hip joint to the kneed horizontal range of foreleg, and d22 is foreleg knee joint to foreleg ankle-joint Horizontal range, d1 ' is the horizontal range that next step back leg ankle-joint arrives hip joint, and d2 ' is next step hip joint to foreleg ankle The horizontal range in joint, d1 ' and d2 ' calculation are identical with d1 and d2, are the data of the step stepped afterwards.
(7) leg speed v=L/t is further calculatedstep
(8) to the standardization pressure peak F obtained by calculatingpeak, stride time tstep, stand up time than R, step pitch L, leg speed v carry out Average value and standard deviation are calculated, gait evaluation is realized.
CN201710223505.8A 2017-04-07 2017-04-07 A kind of Wearable sensing shoe system and gait evaluation method Pending CN107137089A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710223505.8A CN107137089A (en) 2017-04-07 2017-04-07 A kind of Wearable sensing shoe system and gait evaluation method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710223505.8A CN107137089A (en) 2017-04-07 2017-04-07 A kind of Wearable sensing shoe system and gait evaluation method

Publications (1)

Publication Number Publication Date
CN107137089A true CN107137089A (en) 2017-09-08

Family

ID=59774738

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710223505.8A Pending CN107137089A (en) 2017-04-07 2017-04-07 A kind of Wearable sensing shoe system and gait evaluation method

Country Status (1)

Country Link
CN (1) CN107137089A (en)

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108095729A (en) * 2018-01-24 2018-06-01 深圳市臻络科技有限公司 A kind of freezing of gait recognition methods and device
CN108392204A (en) * 2018-02-08 2018-08-14 王宋然 Body section mass measuring method and device
CN109528212A (en) * 2018-12-29 2019-03-29 大连乾函科技有限公司 A kind of abnormal gait identification device and method
CN109567812A (en) * 2017-09-29 2019-04-05 大连恒锐科技股份有限公司 Gait analysis system based on Intelligent insole
CN109589088A (en) * 2017-09-30 2019-04-09 深圳市奇诺动力科技有限公司 Body gait acquires equipment and acquisition method
CN109646009A (en) * 2018-11-15 2019-04-19 北京中科汇成科技有限公司 The calculation method of gait Time And Space Parameters based on portable gait analysis system
CN110680335A (en) * 2019-10-08 2020-01-14 深圳市臻络科技有限公司 Step length measuring method and device, system and non-volatile computer storage medium thereof
CN110786862A (en) * 2019-11-05 2020-02-14 哈工大机器人湖州国际创新研究院 Gait cycle identification method based on torque and angle feedback fusion
CN111604890A (en) * 2019-12-30 2020-09-01 合肥工业大学 Motion control method suitable for exoskeleton robot
CN113080946A (en) * 2021-04-29 2021-07-09 合肥工业大学 Human body sitting and standing transfer capacity measuring device and method and electronic equipment
CN113133761A (en) * 2020-01-17 2021-07-20 宝成工业股份有限公司 Method for judging left and right gait and analysis device thereof
CN113663308A (en) * 2020-05-14 2021-11-19 爱德士控股有限公司 Running posture correction method, device and system

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102670217A (en) * 2012-05-04 2012-09-19 嘉兴市制衡精仪有限公司 Wearable sensor measuring device and method for lower limb joint acting force and moment
CN202553940U (en) * 2012-03-02 2012-11-28 应放天 Gait analytical apparatus
CN105708481A (en) * 2016-01-13 2016-06-29 大连楼兰科技股份有限公司 Shoe built-in dynamic plantar pressure sensors based on PVDF (polyvinylidene fluoride)

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN202553940U (en) * 2012-03-02 2012-11-28 应放天 Gait analytical apparatus
CN102670217A (en) * 2012-05-04 2012-09-19 嘉兴市制衡精仪有限公司 Wearable sensor measuring device and method for lower limb joint acting force and moment
CN105708481A (en) * 2016-01-13 2016-06-29 大连楼兰科技股份有限公司 Shoe built-in dynamic plantar pressure sensors based on PVDF (polyvinylidene fluoride)

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109567812A (en) * 2017-09-29 2019-04-05 大连恒锐科技股份有限公司 Gait analysis system based on Intelligent insole
CN109589088A (en) * 2017-09-30 2019-04-09 深圳市奇诺动力科技有限公司 Body gait acquires equipment and acquisition method
CN108095729A (en) * 2018-01-24 2018-06-01 深圳市臻络科技有限公司 A kind of freezing of gait recognition methods and device
CN108392204A (en) * 2018-02-08 2018-08-14 王宋然 Body section mass measuring method and device
CN108392204B (en) * 2018-02-08 2023-07-21 王宋然 Human body segment quality measuring method and device
CN109646009B (en) * 2018-11-15 2021-11-26 北京中科汇成科技有限公司 Gait space-time parameter calculation method based on portable gait analysis system
CN109646009A (en) * 2018-11-15 2019-04-19 北京中科汇成科技有限公司 The calculation method of gait Time And Space Parameters based on portable gait analysis system
CN109528212A (en) * 2018-12-29 2019-03-29 大连乾函科技有限公司 A kind of abnormal gait identification device and method
CN109528212B (en) * 2018-12-29 2023-09-19 大连乾函科技有限公司 Abnormal gait recognition equipment and method
CN110680335A (en) * 2019-10-08 2020-01-14 深圳市臻络科技有限公司 Step length measuring method and device, system and non-volatile computer storage medium thereof
CN110786862A (en) * 2019-11-05 2020-02-14 哈工大机器人湖州国际创新研究院 Gait cycle identification method based on torque and angle feedback fusion
CN111604890A (en) * 2019-12-30 2020-09-01 合肥工业大学 Motion control method suitable for exoskeleton robot
CN113133761A (en) * 2020-01-17 2021-07-20 宝成工业股份有限公司 Method for judging left and right gait and analysis device thereof
CN113663308A (en) * 2020-05-14 2021-11-19 爱德士控股有限公司 Running posture correction method, device and system
CN113080946A (en) * 2021-04-29 2021-07-09 合肥工业大学 Human body sitting and standing transfer capacity measuring device and method and electronic equipment

Similar Documents

Publication Publication Date Title
CN107137089A (en) A kind of Wearable sensing shoe system and gait evaluation method
Mariani et al. Heel and toe clearance estimation for gait analysis using wireless inertial sensors
Liu et al. Triaxial joint moment estimation using a wearable three-dimensional gait analysis system
WO2017014294A1 (en) Gait analysis method and gait analysis system
Sabatini et al. Assessment of walking features from foot inertial sensing
Lee et al. The use of a single inertial sensor to identify stride, step, and stance durations of running gait
CN102824177B (en) Three-dimensional human body gait quantitative analysis system and method
CN102323854B (en) Human motion capture device
Mansour et al. Analysis of several methods and inertial sensors locations to assess gait parameters in able-bodied subjects
US8529475B2 (en) Device for analyzing gait
Hu et al. A kinematic human-walking model for the normal-gait-speed estimation using tri-axial acceleration signals at waist location
Rouhani et al. Ambulatory measurement of ankle kinetics for clinical applications
McGrath et al. Estimation of minimum ground clearance (MGC) using body-worn inertial sensors
Hamner et al. A rolling constraint reproduces ground reaction forces and moments in dynamic simulations of walking, running, and crouch gait
Cafolla et al. An experimental characterization of human torso motion
Bötzel et al. Quantification of gait parameters with inertial sensors and inverse kinematics
Bishop et al. Walking speed estimation using shank-mounted accelerometers
WO2018081986A1 (en) Wearable device and real-time step length measurement method for device
JP4390129B2 (en) Estimation system of lower limb joint moment and lower limb muscle tension using plantar pressure
Tedesco et al. Experimental validation of the Tyndall portable lower-limb analysis system with wearable inertial sensors
CN202932930U (en) Wearable sensor measurement device for acting forces and moments related to lower limb joints of human body
Li et al. Wearable gait analysis system for ambulatory measurement of kinematics and kinetics
TWI502389B (en) Biomechanical analysis system and method
Liu et al. Three-dimensional lower limb kinematic and kinetic analysis based on a wireless sensor system
Zheng et al. Kinetics analysis of ankle, knee and hip joints using a wearable sensor system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20170908