CN209070491U - A kind of pliable pressure sensing hand language recognition device - Google Patents
A kind of pliable pressure sensing hand language recognition device Download PDFInfo
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- CN209070491U CN209070491U CN201821872236.4U CN201821872236U CN209070491U CN 209070491 U CN209070491 U CN 209070491U CN 201821872236 U CN201821872236 U CN 201821872236U CN 209070491 U CN209070491 U CN 209070491U
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Abstract
The utility model discloses a kind of pliable pressures to sense hand language recognition device, including pliable pressure sensor array, signal processing circuit and PC machine, pliable pressure sensor array collects sign language information, and sign language information is converted electric signal by signal processing circuit, and electric signal is sent into PC machine and is identified and shown.The utility model uses graphene and graphene oxide hetero-junctions as pliable pressure sensitive material, light weight, high sensitivity；Signal processing circuit is made of resistance-voltage transformation module, gating module, amplification circuit module, analog-to-digital conversion module and power supply module；It is provided with neural metwork training module, identification module and display module in PC machine, the electric signal that signal processing circuit exports is input to neural network module, identification module realization accurately identifies sign language, and display module shows result in PC machine.
Description
Technical field
The utility model relates to the electronic equipment for communication, especially a kind of pliable pressure senses hand language recognition device.
Background technique
Sign language be dysaudia or can not speech deaf-mute's communication a kind of language, by making different hands
Gesture expresses the specific meaning according to certain syntax rule.And normal person is poor to sign language gesture understandability, deaf-mute and normal
There are estrangement for communication between people.Sign Language Recognition identifies sign language movement, and is translated into the intelligible language of normal person, and
It is shown in the end PC, deaf-mute is helped to exchange with normal person.
Application No. is CN201610883613.3, a kind of entitled sign Language Recognition, device and method, the sign language
Identifying system obtains images of gestures by using camera, is handled by image recognition, storage and conversion module, by gesture
Image is converted to text information.Application No. is CN201010606052.5, a kind of entitled sign language based on data glove
Identification device has used five resistance strain gage sensors and acceleration transducer to convert electric signal for sign language signal, passes through
It is converted into text information after later period signal processing and shows.In the existing technical solution about gesture identification, one kind is to sweep
Image is retouched and stored, then image analysis is identified；It is another kind of, it is by pressure sensor and acceleration transducer by hand
Language signal is converted into electric signal, is identified by signal processing circuit and shows sign language signal.Hand language recognition device knot is realized at present
Structure is complicated, needs sensor various, degrees of fault-tolerance is low.
Utility model content
The purpose of the utility model is to provide a kind of pliable pressures to sense hand language recognition device, convenient for the ditch with deaf-mute
It is logical.The utility model uses the pliable pressure sensing unit made of the hetero-junctions of graphene and graphene oxide, multiple flexibilities
Pressure sensitive unit is integrated into pliable pressure sensor array.The hetero-junctions of graphene and graphene oxide attaches to textile glove.
When wearing gloves show different sign language gestures, each sensing unit is passed through signal processing tune by different pressures, pressure signal
After section, it is delivered to PC machine, realizes real-time intelligent recognition and display.
Technical scheme of realizing the purpose of the utility model is that
A kind of pliable pressure senses hand language recognition device, and feature is: the device includes pliable pressure sensor array, at signal
Circuit and PC machine are managed, the pliable pressure sensor array is connect by conducting wire with signal processing circuit input terminal, signal processing electricity
The data of the output end on road reach PC machine by serial ports；Wherein, the pliable pressure sensor array is by several flexible sensing units
It is formed with textile glove, flexible sensing unit is by the heterojunction structure of graphene and graphene oxide at flexible sensing unit sticks
In on each finger of textile glove；The signal processing circuit includes resistance-voltage transformation module, gating module, amplifying circuit
Module, analog-to-digital conversion module and power supply module, resistance-voltage transformation module, gating module, amplification circuit module and analog-to-digital conversion
Module is sequentially connected, and power supply module is separately connected resistance-voltage transformation module, gating module, amplification circuit module and modulus and turns
Change the mold block；The PC machine is provided with neural metwork training module, identification module and display module, wherein neural metwork training mould
Block connect identification module, identification module connect display module.
Resistance-the voltage transformation module is to be composed in parallel by several series resistance bleeder circuits, series resistance partial pressure electricity
Road includes supply voltage U1, output voltage U and fixed value resistance R, and the one end fixed value resistance R connects sensing unit and output voltage, separately
One end connects supply voltage.
The amplification circuit module includes input resistance R1, feedback resistance R2, fixed value resistance R3, operational amplifier, it is described defeated
Enter resistance R1One end connects input signal, and the other end connects operational amplifier and inputs anode；The connection of operational amplifier input negative terminal
Fixed value resistance R3, fixed value resistance R3Other end ground connection, connects between the input negative terminal of operational amplifier and the output end of operational amplifier
Meet a feedback resistance R2Negative-feedback is constituted, the positive supply voltage of operational amplifier is VCC, negative supply voltage is VEE。
The utility model has the beneficial effects that
The pliable pressure of the utility model senses hand language recognition device, and structure is simple, only used a kind of pliable pressure
The array of sensing, pliable pressure sensor array is flexible, light weight, can be bonded human skin, can directly be worn on hand, side
Portable belt；Identification sign language accuracy not will receive the influence of different human body hand difference.
Detailed description of the invention
FIG. 1 is a schematic structural view of the utility model；
Fig. 2 is the structural block diagram of the utility model signal processing circuit；
Fig. 3 is the utility model resistance-voltage transformation module circuit diagram；
Fig. 4 is the circuit diagram of the utility model amplification circuit module；
Fig. 5 is sign language gesture " U " and corresponding sensing unit pressure-plotting；
Fig. 6 is the test chart of mean square deviation Yu neural metwork training number.
Specific embodiment
It is right below in conjunction with drawings and examples to keep the purpose of this utility model, technical solution and advantage apparent clear
The utility model is further elaborated.
Embodiment
Refering to fig. 1, the utility model includes pliable pressure sensor array 1, signal processing circuit 2 and PC machine 3, the flexibility
Pressure sensing array 1 is connect by conducting wire with 2 input terminal of signal processing circuit, and the data of the output end of signal processing circuit 2 are logical
It crosses serial ports and reaches PC machine 3；Wherein, the pliable pressure sensor array 1 is by several flexible sensing units 11 and 12 groups of textile glove
At flexible sensing unit 11 is by the heterojunction structure of graphene and graphene oxide at flexible sensing unit 11 attaches to weaving hand
On each finger of set 12；The pliable pressure sensor array 1 is for measuring digital flexion and mobile degree；Pressure signal is by signal
The processing of processing circuit 2 is voltage division signal of the PC machine 3 convenient for identification.
Signal processing circuit
Referring to Fig.2, signal processing circuit includes resistance-voltage transformation module, gating module, amplification circuit module, modulus
Conversion module and power supply module.Power supply module provides reference voltage for resistance-voltage transformation module, is gating module, amplification electricity
Road module and analog-to-digital conversion module provide supply voltage.
Refering to Fig. 3, resistance-voltage transformation module is composed in parallel by several series resistance bleeder circuits, series resistance partial pressure
Circuit includes reference voltage U1, output voltage U and fixed value resistance R, the one end fixed value resistance R connects sensing unit and output voltage,
The other end connects supply voltage.Sensing unit one end ground connection.Resistance-voltage transformation module output voltage are as follows: The voltage of several sensing unit resistance got is traversed by gating module switching.Gating module by conducting wire and
Amplification circuit module connection as shown in Figure 4.One input resistance R is passed through by the signal of gating module output1Enter operation afterwards
The positive input terminal of amplifier, the negative input end of operational amplifier and a fixed value resistance R3It is connected to ground, operational amplifier is born
Input terminal connect a feedback resistance R with output end2Constitute negative-feedback.The positive supply voltage of operational amplifier is VCC, bear power supply
Voltage is VEE, positive and negative supply voltage provides by power supply module.Signal is amplified 15-20 times by negative feedback amplifier circuit, by mould
The analog voltage signal of amplification is converted the identifiable digital signal of neural network by number conversion module.It analog-to-digital conversion module and puts
Big circuit module is connected by conducting wire, and the signal of analog-to-digital conversion module output is input to neural metwork training module in PC machine.
Neural metwork training module, identification module and display module are provided in the PC machine of the present embodiment, wherein nerve net
The voltage data that network training module exports signal processing circuit is trained to obtain gesture identification neural network model；Identify mould
Block identifies the gesture made in real time using gesture identification neural network model；Display module exports gesture picture and gesture
The text meaning of expression.
In concrete application, this gloves with pliable pressure sensor array are worn on hand, repeatedly make gesture, often
The signal detected on a sensing unit can be passed in PC machine after processing by serial ports, and by judgement, gesture is recognized accurately
Meaning, and show the gesture of neural network judgement.
Refering to Fig. 5 (a), make sign language gesture " U ", the part sensing unit of hand language recognition device shown in Fig. 5 (b) by
The hetero-junctions sensitive material resistance of pressure, graphene and graphene oxide reduces, remaining sensing unit resistance is relatively large.Electricity
The resistance variations signal of 9 road sensing units is converted voltage change signal by resistance-voltage transformation module.9 road voltage signals enter
Analog multiplexer ADG731 gating module exports after successively traversing to amplification circuit module.The amplification of amplification circuit module
Device selects universal amplifier UA741, and feedback resistance is 18k Ω, and input resistance is 1.2k Ω.Amplified signal is by analog-to-digital conversion
Voltage signal is converted the identifiable digital signal of neural network by module, and analog-to-digital conversion module selects seven-star worm STM32 monolithic
Analog-to-digital conversion module built in machine.Multiplicating is made sign language gesture " U ", and successively input signal processing is electric for the multi-group data being collected into
After each module in road, PC machine is passed to by serial ports, is trained in PC machine by neural metwork training module.Training parameter are as follows: permit
Perhaps most numbers of training are 6000 times, and training objective minimal error is 0.01, and learning rate 0.001 is aobvious at interval of 50 steps
Show successively result.Refering to Fig. 6, the actual error (mean square deviation) after training reaches 4722 times reaches most neural metwork training result
The figure of merit 0.0099957 obtains the neural network model of training completion.After training, make again sign language gesture " U ", it is flexible
After the data of each sensing unit of pressure sensing array are handled by signal processing circuit, real-time Transmission training into PC machine is completed
Neural network module may recognize that " U " gesture, as shown in Fig. 5 (c), PC machine real-time display recognition result.
Claims (3)
1. a kind of pliable pressure senses hand language recognition device, which is characterized in that the device includes pliable pressure sensor array, signal
Processing circuit and PC machine, the pliable pressure sensor array are connect by conducting wire with signal processing circuit input terminal, signal processing
The data of the output end of circuit reach PC machine by serial ports；Wherein, the pliable pressure sensor array is by several flexible sensing lists
Member and textile glove composition, flexible sensing unit is by the heterojunction structure of graphene and graphene oxide at flexible sensing unit is glutinous
It invests on each finger of textile glove；The signal processing circuit includes resistance-voltage transformation module, gating module, amplification electricity
Road module, analog-to-digital conversion module and power supply module, resistance-voltage transformation module, gating module, amplification circuit module and modulus turn
Mold changing block is sequentially connected, and power supply module is separately connected resistance-voltage transformation module, gating module, amplification circuit module and modulus
Conversion module；The PC machine is provided with neural metwork training module, identification module and display module, wherein neural metwork training
Module connect identification module, identification module connect display module.
2. pliable pressure according to claim 1 senses hand language recognition device, which is characterized in that the resistance-voltage turns
Mold changing block is to be composed in parallel by several series resistance bleeder circuits, and series resistance bleeder circuit includes supply voltage U1, output electricity
U and fixed value resistance R is pressed, the one end fixed value resistance R connects sensing unit and output voltage, and the other end connects supply voltage.
3. pliable pressure according to claim 1 senses hand language recognition device, which is characterized in that the amplification circuit module
Including input resistance R1, feedback resistance R2, fixed value resistance R3, operational amplifier, the input resistance R1One end connection input letter
Number, the other end connects operational amplifier and inputs anode；Operational amplifier input negative terminal connects fixed value resistance R3, fixed value resistance R3Separately
One end ground connection, connects a feedback resistance R between the input negative terminal of operational amplifier and the output end of operational amplifier2It constitutes negative
Feedback, the positive supply voltage of operational amplifier are VCC, negative supply voltage is VEE。
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110764621A (en) * | 2019-11-01 | 2020-02-07 | 华东师范大学 | Self-powered intelligent touch glove and mute gesture broadcasting system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110764621A (en) * | 2019-11-01 | 2020-02-07 | 华东师范大学 | Self-powered intelligent touch glove and mute gesture broadcasting system |
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