CN113197569B - Human body intention recognition sensor based on friction power generation and recognition method thereof - Google Patents

Human body intention recognition sensor based on friction power generation and recognition method thereof Download PDF

Info

Publication number
CN113197569B
CN113197569B CN202110439216.8A CN202110439216A CN113197569B CN 113197569 B CN113197569 B CN 113197569B CN 202110439216 A CN202110439216 A CN 202110439216A CN 113197569 B CN113197569 B CN 113197569B
Authority
CN
China
Prior art keywords
material layer
human body
negative electricity
recognition sensor
human
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.)
Active
Application number
CN202110439216.8A
Other languages
Chinese (zh)
Other versions
CN113197569A (en
Inventor
吴豪
方涵
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.)
Huazhong University of Science and Technology
Original Assignee
Huazhong University of Science and Technology
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 Huazhong University of Science and Technology filed Critical Huazhong University of Science and Technology
Priority to CN202110439216.8A priority Critical patent/CN113197569B/en
Publication of CN113197569A publication Critical patent/CN113197569A/en
Application granted granted Critical
Publication of CN113197569B publication Critical patent/CN113197569B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

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
    • A61B5/1116Determining posture transitions
    • 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
    • A61B5/1118Determining activity level
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • A61B5/7267Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02NELECTRIC MACHINES NOT OTHERWISE PROVIDED FOR
    • H02N1/00Electrostatic generators or motors using a solid moving electrostatic charge carrier
    • H02N1/04Friction generators

Abstract

The invention belongs to the technical field related to human body intention recognition, and discloses a human body intention recognition sensor based on friction power generation and a recognition method thereof, wherein the sensor comprises: the negative electricity material layer and a plurality of flexible electrodes are arranged on the outer surface of the negative electricity material layer at intervals; the negative electricity material layer has the negative electricity characteristic, and it cover is located human wrist and skin contact and is produced the friction and then generate the signal of telecommunication, and the flexible electrode exports the signal of telecommunication, realizes the discernment of human intention. This application burden electrical material layer produces the friction with skin contact and then generates the signal of telecommunication, the hand action can arouse the muscle and the skin of wrist to produce deformation, thereby distinguish different gestures, a plurality of flexible electrode interval arrange in burden electrical material layer surface, can catch the action at a plurality of positions simultaneously, and then obtain the coupling change of each flexible electrode signal under the different human intentions more accurately, realize the collection to the signal of telecommunication under the different intentions, more accurate.

Description

Human body intention recognition sensor based on friction power generation and recognition method thereof
Technical Field
The invention belongs to the technical field related to human body intention recognition, and particularly relates to a human body intention recognition sensor based on friction power generation and a recognition method thereof.
Background
The electromyography is an effective human intention recognition method, can generate weak current signals based on muscle contraction, can distinguish various motion modes by collecting and analyzing signal data of current changing along with time during motion, is very simple to operate, has important application value in methods of motion science, clinical medicine, rehabilitation and the like, but has obvious defects, such as interference on the signals when the channels are too many, obvious noise and influence on the wearing comfort level of a huge data acquisition device, is generally obtained by surface electrodes or needle electrodes, can cause a certain pain feeling on a human body, has small amplitude of the electromyography signals, is weak in signals, and is difficult to extract under the influence of factors of system inherent noise, environmental noise, motion artifacts and the like.
Chinese patent CN0.1910286266 discloses a gesture recognition sensor based on friction power generation, which includes: organic silica gel is used as a friction material; the spiral steel wire is used as an electrode material and is matched with the Young modulus of organic silica gel. Through making this sensor the dactylotheca shape, wearable be used for detecting the finger action on each finger, this kind of wearable system hardware is many, and the structure is complicated, dresses difficultly to can influence people's normal limbs action after wearing, can not undertake other activities, for example the finger of dressing can not be stained with water, can not exert oneself, and can't detect wrist motion state, has greatly restricted gesture recognition sensor's application. Therefore, a human intention recognition sensor which is light, simple in structure, easy to wear and not limited is required to be designed.
Disclosure of Invention
Aiming at the defects or improvement requirements of the prior art, the invention provides a human body intention recognition sensor based on friction power generation and a recognition method thereof.
To achieve the above object, according to one aspect of the present invention, there is provided a human intention recognition sensor based on triboelectric power generation, including: the negative electricity material layer and a plurality of flexible electrodes are arranged on the outer surface of the negative electricity material layer at intervals; the negative electricity material layer has negative electricity characteristics so as to be in contact with the skin of a human body to generate friction and further generate an electric signal, and the flexible electrode leads the electric signal out to identify the intention of the human body.
Preferably, the human body intention recognition sensor based on friction power generation further comprises an elastic support layer, the elastic support layer is arranged on the periphery of the negative electricity material layer, and the plurality of flexible electrodes are arranged between the elastic support layer and the negative electricity material layer.
Preferably, the negative electricity material layer is annular, and when the wrist-type medical instrument is in operation, the negative electricity material layer is sleeved on the wrist of a human body, and at least one flexible electrode is arranged at the position opposite to the extensor carpi ulnaris tendon, the flexor digitorum superficialis tendon, the extensor carpi radialis tendon, the flexor carpi radialis tendons, the extensor digitorum tendons and the extensor pollicis longus tendons of the wrist of the human body.
Preferably, the material of the negative electricity material layer is one of polydimethylsiloxane, 3M-VHB tape, polyethylene terephthalate and polyimide.
Preferably, the flexible electrode is a natural hydrogel or a composite hydrogel.
Preferably, the material of the elastic support layer is one of polydimethylsiloxane, 3M-VHB tape, silicon rubber or Ecoflex;
preferably, the material of the elastic support layer is polydimethylsiloxane.
Preferably, the natural hydrogel is one or more of gelatin, chitosan, protein, alginic acid, agar, collagen, cellulose and polypeptide, and the composite hydrogel is one or more of polyacrylamide, polymethyl methacrylate and polyvinyl alcohol resin.
Preferably, the ion conductor is one of lithium chloride, sodium fluoride and ammonium fluoride.
According to another aspect of the present invention, there is provided another human intention recognition sensor based on triboelectric power generation, including: the friction nano-generators are respectively arranged on the inner sides of the bracelets;
the friction nanometer generator comprises a negative electricity material layer with negative electricity characteristics and a flexible electrode, wherein the negative electricity material is in contact with skin to generate friction so as to generate an electric signal, and the flexible electrode is arranged between the negative electricity material layer and the surface of the bracelet and used for leading out the electric signal.
According to another aspect of the present invention, there is provided a method for manufacturing the above human intention recognition sensor based on triboelectric generation, the method comprising the steps of:
(1) mixing an ionic conductor and deionized water, carrying out ultrasonic stirring, adding a monomer of natural hydrogel or composite hydrogel, carrying out ultrasonic stirring again, adding an initiator and a cross-linking agent, carrying out ultrasonic stirring to fully dissolve the initiator and the cross-linking agent, and introducing nitrogen into the solution for 15min for defoaming treatment to obtain a hydrogel precursor solution;
(2) preparing a die, uniformly distributing a plurality of acrylic wafers on the bottom surface of the die, uniformly filling the whole die with a solution of an elastic supporting layer material, drying, and stripping the cured elastic supporting layer material from the die to obtain the elastic supporting layer with a plurality of circular grooves uniformly distributed on the surface;
(3) masking the region outside the circular groove on the surface of the elastic support layer, injecting 5% dimethylbenzene solution into the circular groove, soaking for 5 minutes to generate hydrophilic groups on the surface of the circular groove, cleaning and drying;
(4) packaging the elastic supporting layer processed in the step (2) in an acrylic mould with the size consistent with that of the elastic supporting layer, pressing the elastic supporting layer above a circular groove by using another transparent acrylic plate with a plurality of through holes uniformly distributed on the surface of the other transparent acrylic plate, enabling each through hole to be located above the circular groove, quickly injecting the hydrogel precursor solution prepared in the step (1) into the circular groove through the through holes, and curing to obtain the flexible electrode;
(5) and attaching the film with the negative electricity characteristic to the flexible electrode layer in a spin coating, spraying, evaporation or direct contact mode, and leading out a copper wire on the surface of the hydrogel, thereby obtaining the human body intention recognition sensor based on friction power generation.
According to another aspect of the present invention, there is provided a human intention recognition method using the above-described human intention recognition sensor based on friction power generation, the method including: s1: adopting the human body intention recognition sensor to collect electric signals of different intentions of the human body; s2: training a neural network by taking the electric signals and the corresponding intention as training samples to obtain a trained neural network model; s3: and recognizing the human body intention by adopting the trained neural network model.
Generally, compared with the prior art, the human body intention recognition sensor based on friction power generation and the recognition method thereof provided by the invention have the following beneficial effects:
1. electronegative electricity material layer and skin contact produce the friction and then generate the signal of telecommunication, and the hand action can arouse the muscle and the skin of wrist to produce deformation, and a plurality of flexible electrodes are separated to arrange in electronegative electricity material layer surface, can catch the action at a plurality of positions simultaneously, and then obtain the coupling change of each flexible electrode signal under the different gesture intentions more accurately, realize the collection of the signal of telecommunication under the different intentions, more accurate.
2. The material based on the negative electricity characteristic is more sensitive to the friction reaction, has higher signal amplitude and more obvious characteristics compared with a human intention recognition sensor based on the electromyography principle, is more beneficial to recognition and classification, and has more sensitive reaction and higher accuracy.
3. A plurality of flexible electrodes are integrated on the same device, so that the system is simple in structure and high in integration level.
4. This application sets up the sensor at human wrist, compares in wearing in the sensor of finger, does not influence hand operation, and the practicality is stronger, and application scope is wider.
5. The flexible electrode in this application adopts the aquogel material of doping ionic conductor, has both guaranteed good electric conductivity, can catch the charge change on the negative electricity material layer very sensitively to ionic conductor's existence can make the electrode layer possess prevents frostbite, the dehydration prevention's characteristic, and aquogel has advantages such as the light penetration is good, the biocompatibility is good, nontoxic harmless simultaneously, has good bending property again and is applicable to very much and wear.
6. The elastic supporting layer, the flexible electrode, the negative electricity material layer and the like are all flexible materials, have good stability, stretchability and customizability, are very good in fit with a human body, and are very suitable for being worn.
Drawings
Fig. 1 schematically shows a structural schematic view of a human body intention recognition sensor based on friction power generation of the present embodiment 1;
fig. 2 is a view schematically showing the steps for preparing the human intention recognition sensor based on the frictional power generation of the present embodiment 2;
fig. 3 schematically shows a method for recognizing human intention by the friction power generation-based human intention recognition sensor of the present embodiment 1 and the present embodiment 2.
The same reference numbers will be used throughout the drawings to refer to the same or like elements or structures, wherein:
1-a layer of electronegative material; 2-a flexible electrode; 3-an elastic support layer; 4-an acrylic mold; 5-mask layer; 6-xylene solution.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
Example 1
Referring to fig. 1, the present invention provides a human body intention recognition sensor based on friction power generation, which includes a negative electricity material layer 1 and a plurality of flexible electrodes 2.
The negative electricity material layer 1 is preferably ring-shaped, and the negative electricity material layer 1 can be sleeved on the wrist of a human body and worn like a bracelet, so that the negative electricity material layer 1 is contacted with the skin to generate friction and further generate an electric signal. The material of the negative electrode material layer 1 is preferably one of Polydimethylsiloxane (PDMS), 3M-VHB tape, polyethylene terephthalate, and polyimide.
The plurality of flexible electrodes 2 are arranged on the outer surface of the negative electricity material layer 1 at intervals, that is, the plurality of flexible electrodes 2 are annularly arranged on the outer surface of the negative electricity material layer 1. When the negative electricity material layer 1 is worn on the wrist, at least one flexible electrode 2 is arranged at the position opposite to the extensor carpi ulnaris tendon, the flexor digitorum superficialis tendon, the extensor carpi radialis tendon, the flexor carpi radialis tendon, the extensor digitorum longus tendon and the extensor pollicis longus tendon of the wrist of a human body. The flexible electrode 2 is hydrogel.
The triboelectric power generation-based human intention recognition sensor in this embodiment further comprises a resilient support layer 3, preferably in the shape of a ring, said resilient support layer 3 being provided at the periphery of the negative electrical material layer 1 to seal the flexible electrodes 2 such that the plurality of flexible electrodes 2 are arranged between the resilient support layer 3 and the negative electrical material layer 1. The material of the elastic support layer 3 is preferably one of polydimethylsiloxane, 3M-VHB tape, silicone rubber, or Ecoflex, and is preferably polydimethylsiloxane.
Especially, PDMS has excellent negative electricity characteristic, is very suitable for being used as a negative electricity friction layer 1, generates strong friction power generation signals when contacting and separating with skin, has obvious amplitude, has certain adhesion, can be directly attached to the skin, and is suitable for wearable equipment. Meanwhile, PDMS has good stretchability, is suitable for being used as an elastic supporting layer 3 of a device, and can still maintain the original performance after being bent or stretched. The hydrogel material doped with lithium chloride ensures good conductivity, can sensitively capture charge change on a negative electricity material layer, enables an electrode layer to have the characteristics of freezing prevention and dehydration prevention due to the presence of the lithium chloride, has the advantages of good light transmission, good biocompatibility, no toxicity, no harm and the like, has outstanding application value in the aspect of flexible electrodes, and meets the performance requirement of bending wearing equipment.
When the negative electricity material layer 1 is in direct contact with the skin, the surface of the negative electricity material layer 1 worn on the wrist generates negative friction charges due to friction electrification, and the skin surface forms positive friction charges, when the negative electricity material layer is separated from the skin, because potential difference exists between the negative electricity material layer 1 and the flexible electrode 2, positive charges can be generated on the flexible electrode 2 through induction electrification, electrons flow out of a lead, and when the negative electricity material layer 1 is in contact with the skin again, opposite charges can be generated and reverse current is formed.
Example 2
The embodiment provides another human intention recognition sensor based on friction power generation, which comprises a plurality of friction nano-generators and a bracelet, wherein the friction nano-generators are respectively arranged on the inner side of the bracelet so as to be annularly arranged in the bracelet.
The friction nanogenerator comprises a negative electricity material layer with negative electricity characteristics and a flexible electrode, wherein the negative electricity material layer is in contact friction with skin to generate an electric signal, and the flexible electrode is located between the negative electricity material layer and the surface of the bracelet and used for leading out the electric signal.
In the same manner as in example 1, at least one friction nanogenerator is respectively disposed opposite to the extensor carpi ulnaris tendon, the flexor digitorum superficialis tendon, the extensor carpi radialis tendon, the flexor carpi radialis tendon, the extensor digitorum tendon and the extensor pollicis longus tendon of the wrist of the human body to capture the motion change of the wrist of the human body.
The material of the bracelet in this embodiment is the same as that of the elastic support layer in embodiment 1, and the material of the negative electrode material layer and the flexible electrode is the same as that in embodiment 1, and details are not repeated here.
The friction nano-generator in this embodiment can be prepared as follows, as shown in fig. 2:
(1) preparing a hydrogel precursor solution: mixing lithium chloride particles (3.5mol/L) with deionized water, adding a monomer (3.5mol/L) of polyacrylamide after ultrasonic stirring, adding 1% of Wt. photoinitiator 2-hydroxy-4 '- (2-hydroxyethoxy) -2-methyl propiophenone (I2959) and 0.1% of Wt. crosslinking agent N, N' -Methylene Bisacrylamide (MBAA) after ultrasonic stirring for full dissolution, and introducing nitrogen into the solution for 15min for defoaming treatment to obtain a hydrogel precursor solution;
(2) preparing an elastic supporting layer: through the preparation rectangle mould of laser cutting ya keli board to at a plurality of ya keli disk of mould bottom surface equipartition, rectangle ya keli mould internal dimension is: the length is 150-300 mm, the width is 24mm, the depth is 1-2 mm, the length of the mold can be adjusted according to the wrist circumference of a user, and the depth is preferably 2mm, because the thin PDMS is easy to break or damage when being taken out of the mold; the radius of the acrylic wafer is 6mm, and the thickness of the acrylic wafer is 0.5-1 mm. Uniformly filling the polydimethylsiloxane solution into the whole mould, heating the mould in a drying oven at 90 ℃ for 2 hours, taking out the mould, and stripping the cured polydimethylsiloxane film from the mould to obtain an elastic supporting layer with a plurality of circular grooves uniformly distributed on the surface;
sequentially cleaning the surface of the elastic supporting layer by using absolute ethyl alcohol and deionized water, drying by using nitrogen, masking the region except the circular groove on the surface of the elastic supporting layer, using a heat-resistant polyimide adhesive tape with the thickness of 0.005mm as a mask, injecting 5% xylene solution (the solvent is absolute ethyl alcohol) into the circular groove, soaking for 5 minutes to generate hydrophilic groups on the surface of the elastic supporting layer so as to improve the connection interface of PDMS and polyacrylamide, enhance the adhesion between the PDMS and the polyacrylamide, improve the service life and the output stability of a device, cleaning organic matters remained on the surface after the xylene solution treatment by using acetone, and drying by using nitrogen;
(3) preparing a flexible electrode layer: placing the elastic supporting layer processed in the step (2) in an acrylic mould with the same size as the elastic supporting layer, pressing the elastic supporting layer above the elastic supporting layer by using a transparent acrylic plate which is slightly longer than the mould and is uniformly provided with a plurality of through holes on the surface, enabling each through hole to be positioned above a circular groove, quickly injecting the hydrogel precursor solution prepared in the step (1) into the circular groove through the through hole, slightly moving the transparent acrylic plate in the transverse direction to ensure that the through holes are not communicated with the circular groove, tightly attaching the transparent acrylic plate and the mould by using an adhesive tape to prevent a cover plate from being pushed open due to heating deformation of PDMS in the subsequent curing process, introducing air, irradiating 1.5h by using 365nm ultraviolet rays to enable the hydrogel precursor solution to be crosslinked, and tearing off a mask after a hydrogel film is obtained;
(4) preparing a negative electricity material layer: the film of PDMS is attached to the flexible electrode layer by spin coating, and the spin coating parameters of the embodiment are as follows: the spin coating time is 120-180 s, the rotating speed is 600rpm, the acceleration is 300rpm/s, the spin coating time is preferably 180s, PDMS cannot uniformly cover the whole acrylic plate due to too short spin coating time, the PDMS cannot be uniformly covered on the acrylic plate after the spin coating is finished, the PDMS is cured for 1h at 90 ℃, and a copper wire is led out of the hydrogel surface, so that the friction nano power generation device is obtained.
Example 3
The present embodiment provides a method for human intention recognition using the frictional power generation-based human intention recognition sensors of embodiments 1 and 2 described above, as shown in fig. 3, the method including the following steps S1 to S3.
S1: and adopting the human body intention recognition sensor to collect electric signals of different intentions of the human body.
The user wears human intention recognition sensor in the wrist to make flexible electrode be located the position that the appointed tendon of wrist corresponds, appointed tendon of wrist includes at least in this embodiment: extensor carpi ulnaris tendon, flexor digitorum superficialis tendon, extensor carpi radialis tendon, flexor carpi radialis tendon, extensor digitorum tendon and extensor hallucis longus tendon. During the collection, the user can keep the posture that the palm center is parallel to the desktop and faces downward, make different gestures, and collect related training data, for example, the user can make arabic digital gestures 1, 2, 3, 4, 5, 6, 10, wrist abduction, wrist flexion, and the like, and the duration of the gesture motion can be determined according to the response state of the flexible electrode, for example, the duration of the gesture motion in this embodiment is 5s, and the interval time is 3 s. And obtaining the electric signals and the corresponding data set as training sample data.
S2: and training the neural network by taking the electric signals and the corresponding intention as training samples to obtain a trained neural network model.
And normalizing the training sample data in the step S1 to construct a training sample, and training the neural network by using the training sample to obtain the trained neural network.
S3: and recognizing the human body intention by adopting the trained neural network model.
The user can carry out gesture recognition by wearing the human body intention recognition sensor again.
In summary, according to the human body intention recognition sensor based on the friction power generation and the recognition method thereof, the plurality of flexible electrodes are arranged on the outer surface of the negative electricity material layer at intervals, the negative electricity material layer is in contact with the skin to generate friction to generate an electric signal, and the human body intention recognition sensor is only required to be worn on the wrist and is simple and convenient; meanwhile, the material based on the negative electricity characteristic is more sensitive to the friction reaction, has higher signal amplitude and more obvious characteristics compared with a human intention recognition sensor based on the electromyography principle, is more beneficial to recognition and classification, and has more sensitive reaction and higher accuracy.
It will be understood by those skilled in the art that the foregoing is only a preferred embodiment of the present invention, and is not intended to limit the invention, and that any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (8)

1. A preparation method of a human body intention recognition sensor based on friction power generation is characterized by comprising the following steps:
(1) mixing an ionic conductor and deionized water, carrying out ultrasonic stirring, adding a monomer of natural hydrogel or composite hydrogel, carrying out ultrasonic stirring again, adding an initiator and a cross-linking agent, carrying out ultrasonic stirring to fully dissolve the initiator and the cross-linking agent, and introducing nitrogen into the solution for 15min for defoaming treatment to obtain a hydrogel precursor solution;
(2) preparing a die, uniformly distributing a plurality of acrylic wafers on the bottom surface of the die, uniformly filling the whole die with a solution of an elastic supporting layer material, drying, and stripping the cured elastic supporting layer material from the die to obtain the elastic supporting layer with a plurality of circular grooves uniformly distributed on the surface;
(3) masking the region outside the circular groove on the surface of the elastic support layer, injecting 5% dimethylbenzene solution into the circular groove, soaking for 5 minutes to generate hydrophilic groups on the surface of the circular groove, cleaning and drying;
(4) packaging the elastic supporting layer processed in the step (2) in an acrylic mould with the same size, pressing the elastic supporting layer above the transparent acrylic plate with another mould and a plurality of through holes uniformly distributed on the surface of the transparent acrylic plate above the elastic supporting layer to enable the through holes to be located above the circular groove, quickly injecting the hydrogel precursor solution prepared in the step (1) into the circular groove through the through holes, and curing to obtain a flexible electrode;
(5) and attaching the film with the negative electricity characteristic to the flexible electrode layer in a spin coating, spraying, evaporation or direct contact mode, and leading out a copper wire on the surface of the hydrogel, thereby obtaining the human body intention recognition sensor based on friction power generation.
2. A triboelectric power generation-based human intention recognition sensor manufactured by the method for manufacturing a triboelectric power generation-based human intention recognition sensor according to claim 1, wherein the triboelectric power generation-based human intention recognition sensor comprises: the flexible electrode supporting structure comprises a negative electricity material layer, a plurality of flexible electrodes and an elastic supporting layer, wherein the flexible electrodes are arranged on the outer surface of the negative electricity material layer at intervals; the negative electricity material layer has negative electricity characteristics so as to be in contact with the skin of a human body to generate friction and further generate an electric signal, and the flexible electrode leads the electric signal out to perform human body intention recognition; the elastic support layer is arranged on the periphery of the negative electricity material layer, and the flexible electrodes are arranged between the elastic support layer and the negative electricity material layer.
3. The friction power generation based human intention recognition sensor of claim 2, wherein the negative electrical material layer is annular, and in operation, the negative electrical material layer is sleeved on the wrist of the human body, and at least one of the flexible electrodes is disposed at a position opposite to the extensor carpi ulnaris tendon, flexor digitalis tendon, extensor carpi radialis tendon, flexor carpi radialis tendon, extensor dactylis tendon and abductor pollicis longus tendon of the wrist of the human body.
4. The triboelectric power-based human intent recognition sensor of claim 2, wherein the material of the negative electrical material layer is one of polydimethylsiloxane, 3M-VHB tape, polyethylene terephthalate, polyimide.
5. The triboelectric power-based human intent recognition sensor of claim 2, wherein the flexible electrode is a natural hydrogel or a composite of a composite hydrogel with an ionic conductor.
6. The triboelectric power-based human intent recognition sensor of claim 5, wherein the natural hydrogel is one or more of gelatin, chitosan, protein, alginic acid, agar, collagen, cellulose, and polypeptides; the composite hydrogel is one or more of polyacrylamide, polymethyl methacrylate and polyvinyl alcohol resin; the ion conductor is one of lithium chloride, sodium fluoride and ammonium fluoride.
7. The triboelectric power-based human intent-to-recognize sensor of claim 2, wherein the material of the elastic support layer is one of polydimethylsiloxane, 3M-VHB tape, silicone rubber, or Ecoflex, further preferably the material of the elastic support layer is polydimethylsiloxane.
8. A human intention recognition method using the human intention recognition sensor based on friction power generation according to any one of claims 2 to 7, characterized in that the method comprises:
s1: adopting the human body intention recognition sensor to collect electric signals of different intentions of the human body;
s2: training a neural network by taking the electric signals and the corresponding intention as training samples to obtain a trained neural network model;
s3: and recognizing the human body intention by adopting the trained neural network model.
CN202110439216.8A 2021-04-23 2021-04-23 Human body intention recognition sensor based on friction power generation and recognition method thereof Active CN113197569B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110439216.8A CN113197569B (en) 2021-04-23 2021-04-23 Human body intention recognition sensor based on friction power generation and recognition method thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110439216.8A CN113197569B (en) 2021-04-23 2021-04-23 Human body intention recognition sensor based on friction power generation and recognition method thereof

Publications (2)

Publication Number Publication Date
CN113197569A CN113197569A (en) 2021-08-03
CN113197569B true CN113197569B (en) 2022-05-20

Family

ID=77028040

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110439216.8A Active CN113197569B (en) 2021-04-23 2021-04-23 Human body intention recognition sensor based on friction power generation and recognition method thereof

Country Status (1)

Country Link
CN (1) CN113197569B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113815707B (en) * 2021-09-27 2023-04-07 同济大学 Method and system for monitoring holding posture of steering wheel of driver

Family Cites Families (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU2794399A (en) * 1998-03-06 1999-09-20 University Of Florida Medical device utilizing hydrogel materials
CN105022471A (en) * 2014-04-23 2015-11-04 王建勤 Device and method for carrying out gesture recognition based on pressure sensor array
US9887644B2 (en) * 2014-07-30 2018-02-06 Seoul National University R&Db Foundation Stretchable triboelectric generator, stretchable electricity storage device, and wearable electronic device
CN106382997B (en) * 2016-09-18 2019-08-09 北京科技大学 A kind of frictional static induction type electronic skin
US20170173262A1 (en) * 2017-03-01 2017-06-22 François Paul VELTZ Medical systems, devices and methods
CN107089656B (en) * 2017-05-24 2019-05-31 华中科技大学 A method of preparing large-area graphene nanometer sieve film
KR101991270B1 (en) * 2017-09-12 2019-06-20 주식회사 웨이브컴퍼니 Smart cloth having integrally formed-wire coated with electric conductive silicon rubber
CN109750403B (en) * 2017-11-01 2021-05-11 北京纳米能源与***研究所 Power generation cloth, wearable device and sensor based on friction nano generator
CN108011539B (en) * 2017-12-07 2019-05-17 苏州大学 Flexible electrode and preparation method thereof, friction nanometer power generator and preparation method thereof
CN110823265A (en) * 2018-08-10 2020-02-21 江苏国源环境科技有限公司 Stretchable self-powered sensor based on nano fibers and preparation method thereof
CN109586608B (en) * 2018-11-08 2020-06-26 北京化工大学 Flexible stretchable single-electrode friction nano generator and preparation method thereof
CN111297321A (en) * 2018-12-18 2020-06-19 北京纳米能源与***研究所 Transparent flexible sensor, preparation method thereof, electronic skin and wearable device
CN109631957A (en) * 2019-01-14 2019-04-16 南方科技大学 A kind of stretchable hypersensitive electronic skin and its preparation method and application
CN110069199B (en) * 2019-03-29 2022-01-11 中国科学技术大学 Skin type finger gesture recognition method based on smart watch
CN112087160B (en) * 2020-08-14 2022-09-27 桂林理工大学 Preparation method of flexible friction nano generator based on ionic gel electrode
CN112494280B (en) * 2020-10-26 2023-05-16 上海大学 Intelligent motion perception safety belt based on triboelectricity

Also Published As

Publication number Publication date
CN113197569A (en) 2021-08-03

Similar Documents

Publication Publication Date Title
Wei et al. A high-accuracy, real-time, intelligent material perception system with a machine-learning-motivated pressure-sensitive electronic skin
JP6180547B2 (en) Electronic skin and its manufacturing method and use
Chiu et al. A smart glove with integrated triboelectric nanogenerator for self-powered gesture recognition and language expression
CN108267078B (en) Flexible wearable resistance-type strain sensor and preparation method thereof
CN110411623B (en) High-sensitivity flexible piezoresistive sensor and preparation method and application thereof
CN106610324B (en) Pressure sensor based on friction electricity
CN110013234A (en) A kind of pliable pressure sensor and pulse-taking instrument
CN106840478B (en) A kind of preparation method of the pliable pressure sensor based on regenerated collagen film
CN113197569B (en) Human body intention recognition sensor based on friction power generation and recognition method thereof
CN110017937A (en) A kind of pliable pressure sensor and preparation method thereof and pulse condition analyser
Li et al. Triboelectric nanogenerator-based wearable electronic devices and systems: Toward informatization and intelligence
US11784587B2 (en) Electronic sensing apparatus and a method of producing the electronic sensing apparatus
Lee et al. Fingerprint-inspired triboelectric nanogenerator with a geometrically asymmetric electrode design for a self-powered dynamic pressure sensor
KR102603454B1 (en) Body attachable triboelectric generating device and manufacturing method thereof
Pratap et al. Elastic and skin-contact triboelectric nanogenerators and their applicability in energy harvesting and tactile sensing
Fu et al. A triboelectric nanogenerator based on human fingernail to harvest and sense body energy
CN113155327A (en) Bionic microarray flexible electrode, preparation method thereof and flexible pressure sensor
Yoo et al. Silent Speech Recognition with Strain Sensors and Deep Learning Analysis of Directional Facial Muscle Movement
KR101958807B1 (en) Hierarchical polymers based self-powered triboelectric sensors and manufacturing method of the same
CN210383885U (en) Flexible wearable sensor and corresponding wearable equipment thereof
CN111366273A (en) Attachable vertical micro-capacitive flexible mechanical sensor and manufacturing method and application thereof
Chen et al. A bio-impedance analysis method based on human hand anatomy for hand gesture recognition
CN113607042A (en) Wearable epidermis sensor for human body intention recognition and application thereof
US20190000380A1 (en) System and method for muscle movements detection
Zhang et al. Machine-learning-assisted wearable PVA/Acrylic fluorescent layer-based triboelectric sensor for motion, gait and individual recognition

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
GR01 Patent grant
GR01 Patent grant