CN208111073U - Brain palsy recovery machine system based on the training of voice semanteme - Google Patents

Brain palsy recovery machine system based on the training of voice semanteme Download PDF

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CN208111073U
CN208111073U CN201820168103.2U CN201820168103U CN208111073U CN 208111073 U CN208111073 U CN 208111073U CN 201820168103 U CN201820168103 U CN 201820168103U CN 208111073 U CN208111073 U CN 208111073U
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training
chip
key
shell
chip microcontroller
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卢振利
滕诣迪
马志鹏
孙凯翔
单长考
蒋睿萱
陆惠娜
张弛
严森
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Changshu Institute of Technology
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Changshu Institute of Technology
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Abstract

The utility model discloses a kind of brain palsy recovery machine systems based on the training of voice semanteme, including sense light, microphone, LD3320 speech chip, simple sentence key, short sentence key, battery, shell, STC12C5A60S2 single-chip microcontroller, liquid crystal display;Microphone is mounted on around liquid crystal display, and LD3320 speech chip is connected, the STC12C5A60S2 single-chip microcontroller is mounted on the lower part of liquid crystal display, and simple sentence key and short sentence key are separately mounted to the side and bottom of shell, and the bottom that the battery is located at shell is easy to disassemble.The utility model passes through the cooperation of single-chip microcontroller, speech recognition device and host computer, carries out suitable chip according to the pronunciation situation of speech recognition device and the infant of slight brain paralysis and is screened, realizes the voice semanteme rehabilitation training to the infant of slight brain paralysis.

Description

Brain palsy recovery machine system based on the training of voice semanteme
Technical field
The utility model relates to medical services technical fields, and in particular to a kind of brain palsy recovery based on the training of voice semanteme Machine system.
Background technique
Child brain paralysis is also known as children's cerebral palsy, refers to that the child's brain being just born is not developed completely, is a kind of With posture movements obstacle caused by non-progressive cerebral injury, it is mainly shown as to speak and expresses the symptom of obstacle.And along with fortune Dynamic obstacle, the coordination ability for moving self is poor, and it is uncoordinated on foot that their both hands grab not tight thing, is not steady on one's legs, posture occurs Fault and abnormality, stability are poor.Moreover infant there is also dysnoesia, and intelligence is a quarter of normal child, It is slight and moderate to account for half, it is serious general to account for a quarter.
But the brain tissue remoldability of patients with cerebral palsy is larger, by treating for a long time, improves the hair of the cranial nerve of patient It educates, with the fast development of voice system, this system has also played significant role in terms of medicine, it helps infant to improve language The ability of the recovery of sound.
Although studies in China treats many that treatment is increased than in the past of brain paralysis, treatment means are single to treat simultaneously Instrument it is also relatively fewer.Primary step is in hospital and special medical rehabilitation institute, the social agency of part and civil group It knits, mental clinic.
However in external developed country, some medical treatment scholars are proposed with speech recognition module and robot vision The robot that system links together trains to help infant to improve, and promotes treatment.CE Saturno devises a kind of voice friendship Mutual device PickNClick has used a kind of special language to help patients with cerebral palsy training words and phrases.Studies have shown that this kind of system The effective recovery capability for helping infant to improve voice.
Cause the therapeutic effect of infant unobvious compared to domestic cumbersome treatment method, loses interest in treatment.Such as adopt Patient is treated come teacher of the adjuvant treatment with novel science and technology, and situation can be well many compared to before.
Speech recognition technology applies to a variety of occasions, it and modern science and technology are closely coupled, and common speech recognition voice is dialled Number, Voice Navigation, the control of indoor and outdoor, voiced translation.The field of speech recognition design is also very wide, signal processing, mode Identification.
With the maturation and development of interactive voice technology, it gradually becomes the research hotspot of artificial intelligence, passes through people The instruction that class is issued, system has a judgement to it, then carries out preliminary differentiation.Robot carries out described sentence profound Analysis and understanding, the order handed over thereby executing the mankind.The maturity symbol of this technology the new high degree of artificial intelligence, warp Cross development in 40 years, gradually from research and experiment be horizontally orientated to practical application, show huge prospect.In medical science of recovery therapy Field has also rapidly become a key and competitive technologyL, helps the linguistic synthesis ability for improving patients with cerebral palsy.
Wherein for CP children for existing other speech recognitions and comparing equipment, high-lighting problem is first First, the ability of language expression of CP children is very weak, pronounces discontinuous, often interrupts, and secondly the pronunciation of CP children is not up to standard, Identify that difficulty increases.
Utility model content
The utility model aim.
The invention proposes a kind of brain palsy recovery machine systems based on the training of voice semanteme, solve the voice of CP children The big problem of difficulty in identification process, improves the ability of CP children.
Technical solution used by the utility model.
The utility model discloses a kind of brain palsy recovery robots based on the training of voice semanteme, including sense light, Mike Wind, LD3320 speech chip, simple sentence key, short sentence key, battery, shell, STC12C5A60S2 single-chip microcontroller, liquid crystal display;
Microphone is mounted on around liquid crystal display, and LD3320 speech chip is connected, the STC12C5A60S2 monolithic Machine is mounted on the lower part of liquid crystal display, and simple sentence key and short sentence key are separately mounted to the side and bottom of shell, the electricity The bottom that pond is located at shell is easy to disassemble.
In further specific embodiment, shell is screwed the shell of installation battery, the top side of battery Aperture is offered, and is socketed with charging plug in aperture.
In further specific embodiment, singleton key KEY1 and short sentence mould key KEY2 are separately connected P1.0 the and P1.7 pin of STC12C5A60S2 single-chip microcontroller, the individual character and short sentence that LD3320 chip to differentiate infant are with character The mode of string is sent in chip, the keyword in recognized list;LD3320 speech chip P1.0 pin connects STC12C5A60S2 Single-chip microcontroller P1.0, LD3320 speech chip P1.7 pin connects STC12C5A60S2 single-chip microcontroller P1.7;P1.0-P1.5 pin difference Connection STC12C5A60S2 single-chip microcontroller P2.0-P2.4, MIC+ and MIC- are coupled with the positive and negative polarities of microphone.
Further include voltage regulator circuit in further specific embodiment, is electrolysed by self-locking key, bridge rectifier, 470uF Capacitor, 104 monolithic capacitor, 7805 voltage-stablizers composition, 3 pin Vin input terminals of 7805 voltage-stablizers, GND ground connection;Only stone electricity Holding the alternating current passed through is regular steering to realize that both ends are charged, in parallel with remaining component in circuit.
It further include crystal oscillating circuit in further specific embodiment, C6, C7 value selects between 20-100pF, The range of crystal selection is shaken in 1.2-24MHz.
In further specific embodiment, the input AC electricity AC voltage range of the transformer of the voltage-stablizer is 100-240V, input current are 12V in 0.6A, the DC voltage of output.
In further specific embodiment, electrification reset is connected to reset by the resistance string of a capacitor and a 10k Port.
Technical effect caused by the utility model.
The utility model passes through the cooperation of single-chip microcontroller, speech recognition device and host computer, according to speech recognition device and gently The pronunciation situation for spending the infant of brain paralysis carries out suitable chip and is screened, and realizes semantic to the voice of the infant of slight brain paralysis Rehabilitation training, the intelligence for brain palsy recovery treatment provide technological reserve.
Detailed description of the invention
Fig. 1 is overall circuit figure.
Fig. 2 is key selection circuit.
Fig. 3 is crystal oscillating circuit.
Fig. 4 is voltage regulator circuit.
Fig. 5 is liquid crystal display display figure.
Fig. 6 is SCM peripheral circuit.
Fig. 7 is LD3320 internal structure logic chart.
Fig. 8 is voice recognition chip identification process block diagram.
Fig. 9 is speech chip interface module figure.
Figure 10 hardware structure diagram of the present invention.
Appended drawing reference:1, sense light, 2, microphone, 3, LD3320 speech chip, 4a simple sentence key, 4b short sentence key, 5, Battery, 6, shell, 7, STC12C5A60S2 single-chip microcontroller, 8, liquid crystal display.
Specific embodiment
Embodiment
As shown in Figure 10, the utility model discloses a kind of brain palsy recovery robots based on the training of voice semanteme, including Sense light 1, microphone 2, LD3320 speech chip 3, simple sentence key 4a, short sentence key 4b, battery 5, shell 6, STC12C5A60S2 single-chip microcontroller 7, liquid crystal display 8;
Microphone is mounted on around 8 liquid crystal displays, and is connected with LD3320 speech chip 3, the STC12C5A60S2 Single-chip microcontroller is mounted on the lower part of liquid crystal display 8, and simple sentence key 4a and short sentence key 4b are separately mounted to the side and bottom of shell 6 Portion, the bottom that the battery is located at shell 6 are easy to disassemble.Shell 6 is screwed the shell of installation battery 5, battery 5 Top side offers aperture, and charging plug is socketed in aperture.
As shown in Figure 1, to be separately connected STC12C5A60S2 mono- by setting singleton key KEY1 and short sentence mould key KEY2 The individual character and short sentence that infant to be differentiated are sent to core by P1.0 the and P1.7 pin of piece machine, LD3320 chip in a manner of character string Keyword in piece, in recognized list;LD3320 speech chip P1.0 pin connects STC12C5A60S2 single-chip microcontroller P1.0, LD3320 speech chip P1.7 pin connects STC12C5A60S2 single-chip microcontroller P1.7;P1.0-P1.5 pin is separately connected STC12C5A60S2 single-chip microcontroller P2.0-P2.4, MIC+ and MIC- are coupled with the positive and negative polarities of microphone.
Be illustrated in fig. 2 shown below, key selection circuit needs two keys to switch two kinds of functions, key first is that individual character mode, Key is second is that short sentence subpattern.
As shown in figure 3, the range that the concussion crystal that 51 single-chip microcontrollers allow can choose is selected in 1.2-24MHz, value model It encloses and selects 6MHz in the following, 11.0592MHz, 12MHz.That select in this system is 11.0592M.Capacitor C6, C7 institute Play the role of being the effect for stablizing concussion, fast start-up.The stability and vibration velocity for determining concussion output of capacitance size Degree, value select between 20-100pF, and used in this system is 2 39pF ceramic disc capacitors, and ceramic disc capacitor belongs to Non-polar capacitor, its feature are mainly the capacity of small size, do not receive external interference.It works relatively stable, selects the magnitude of 39pF, Also it can produce a more stable frequency.
Voltage regulator circuit as indicated at 4, in this system, is provided with a self-locking key, while being also switch, while pressure stabilizing Circuit needs have used bridge heap, 470uF electrolytic capacitor, 104 monolithic capacitor, 7805 voltage-stablizers.By the transformation plug of repacking, Dc plug repacks pin plugs required for experiment into, and the input AC electricity AC voltage range of transformer is 100-240V, input Electric current is in 0.6A.The DC voltage of output is 12V.In voltage regulator circuit, D is exactly the bridge heap being arranged, and inside is by multiple diodes Composition, it is therefore an objective to rectify, adjust current direction.7805 voltage-stablizers have drawn 3 pins, and what the left side was drawn is its input End, the right are its output ends, and what GND was represented is ground connection.Its input voltage cannot be greater than 36V, and the output voltage of permission is 4.8V-5.2V, maximum output electric current 1.5A, feature thermal overload protection, short-circuit protection, user are easy to use.Monolithic capacitor because Capacity for it is small and frequency is small is used by us, and effect has two, one is energy storage exchanges, passes through the mistake of a charge and discharge Journey discharges electric energy.The second is separated by direct communication, since monolithic capacitor is not a conducting body, the alternating current that it is passed through is that have rule The steering of rule may be selected in circuit to embody both ends electrification and remaining component be in parallel, play the effect of bypass.Pass through Alternating voltage 220V is converted into direct voltage 12V by a series of element, by the protection of bridge rectifier and voltage-stablizer and steady It is fixed, whole system circuit is constituted,
As shown in figure 5, voice module RXD1, TXD1, the GND corresponding TXD for being connected to liquid crystal display, RXD, GND.RXD Port is used to receive, and the port TXD is used to send, and the transmission pin of communicating pair voice module connects your reception of liquid crystal display and draws Foot, the reception pin of voice module are connected to the transmission pin of liquid crystal display, are just able to achieve communication in this way.
Electrification reset as shown in Figure 6 is connected to reseting port by the resistance string of a capacitor and a 10k.
The internal logic figure of speech chip LD3320 chip since LD3320 can dynamically edit identification as shown in fig. 7, close Keyword sentence list, its performance performance for other chips are more comprehensively more preferable, it is only necessary to which 51 single-chip microcontrollers are just It can control whole system, reduce the cost in using, be equipped with 48 pins in chip, part pin used herein MIC+ and MIC- is coupled with the positive and negative polarities of microphone, and GND is ground terminal, and there are also an ends to be connected to the 5V of power supply, makes it can be with In power supply state.
As shown in Fig. 8 speech recognition process block diagram, by the entirety of speech recognition from the angle that speech recognition system is constituted System includes feature extraction, model of entering a higher school, speech model, the modules such as searching algorithm.Speech recognition system is a various modes In conjunction with system, have difference to the method for identification voice, but basic principle is the same.The basic principle of speech recognition is as follows, to defeated Enter voice spectrum analysis system to be pre-processed, by feature extraction, short cycle is known as frame, is extracted by frame unit composition characteristic Speech recognition system input.The basic principle block diagram of speech recognition is as follows, makes pretreatment, frequency spectrum to the voice of input The feature extraction Jing Guo system is analyzed, these short time intervals are referred to as frame, and the feature extraction as unit of frame is constituted speech recognition system The input of system.In the LD3320 speech recognition process used herein arrived.
The interface module of LD3320 as shown in Figure 9, the module are gone here and there by single-chip microcontroller, speech chip, download circuit, LD3320 Mouth circuit composition.What single-chip microcontroller was selected is 51 single-chip microcontrollers, and the model of speech chip is LD3320.Single-chip microcontroller and host computer communication are logical VCC/GND/RXD/TXD send instructions are crossed, wherein TXD2 meets single-chip microcontroller P3.1, and RXD2 connects the P3.0 mouth of single-chip microcontroller.
Working principle:
For a voice semanteme training system designed by patients with cerebral palsy, using in 51 single-chip microcontrollers STC12C5A60S2, and adopted microphone according to the phonetic library of chip interior possessed with the speech chip of LD3320 The voice collected is converted to phonetic in library, compares with the phonetic inputted.There are two types of designed voice semantic system training Mode, one is individual character mode, second is short sentence subpattern.When selection mode 1, word that patient occurs according to display screen Start to read aloud, the collected voice messaging of institute, system can provide the correctness for judging that patient reads aloud in three seconds, display screen with And computer display screen curtain will synchronize realization.Mode 2 is also with the principle as mode 1, and final system will be according to patient institute There are the individual character read aloud and sentence statistical correction rate, given and prompted by sense light, and data feedback situation will be transmitted to far Journey terminal.
In the present invention unless specifically defined or limited otherwise, fisrt feature is on or below second feature It may include that the first and second features directly contact, also may include that the first and second features are not direct contacts but pass through it Between other characterisation contact.Moreover, fisrt feature is on second feature, top and above include fisrt feature the Right above two features and oblique upper, or first feature horizontal height is merely representative of higher than second feature.Fisrt feature is in the second spy Under sign, lower section and fisrt feature included below be directly below and diagonally below the second feature, or be merely representative of fisrt feature level Height is less than second feature.

Claims (7)

1. a kind of brain palsy recovery machine system based on the training of voice semanteme, it is characterised in that:Including sense light, microphone, LD3320 speech chip, simple sentence key, short sentence key, battery, shell, STC12C5A60S2 single-chip microcontroller, liquid crystal display;
Microphone is mounted on around liquid crystal display, and LD3320 speech chip is connected, the STC12C5A60S2 single-chip microcontroller peace Mounted in the lower part of liquid crystal display, simple sentence key and short sentence key are separately mounted to the side and bottom of shell, the battery position It is easy to disassemble in the bottom of shell.
2. the brain palsy recovery machine system according to claim 1 based on the training of voice semanteme, it is characterised in that:Shell is logical The shell that battery is fixedly mounted in screw is crossed, the top side of battery offers aperture, and charging plug is socketed in aperture.
3. the brain palsy recovery machine system according to claim 1 based on the training of voice semanteme, it is characterised in that:List mould Formula key KEY1 and short sentence mould key KEY2 is separately connected P1.0 the and P1.7 pin of STC12C5A60S2 single-chip microcontroller, LD3320 core Piece sends the individual character and short sentence that infant to be differentiated in chip in a manner of character string, the keyword in recognized list;LD3320 Speech chip P1.0 pin connects the connection of STC12C5A60S2 single-chip microcontroller P1.0, LD3320 speech chip P1.7 pin STC12C5A60S2 single-chip microcontroller P1.7;P1.0-P1.5 pin is separately connected STC12C5A60S2 single-chip microcontroller P2.0-P2.4, MIC+ The positive and negative polarities of microphone are coupled with MIC-.
4. the brain palsy recovery machine system according to claim 1 based on the training of voice semanteme, it is characterised in that:Further include Voltage regulator circuit, by self-locking key, bridge rectifier, 470uF electrolytic capacitor, 104 monolithic capacitor, 7805 voltage-stablizers are formed, and 7805 3 pin Vin input terminals of voltage-stablizer, GND ground connection;The alternating current that monolithic capacitor passes through is regular turns to realization two Headband electricity, it is in parallel with remaining component in circuit.
5. the brain palsy recovery machine system according to claim 1 based on the training of voice semanteme, it is characterised in that:Further include Crystal oscillating circuit, C6, C7 value select between 20-100pF, and the range of concussion crystal selection is in 1.2-24MHz.
6. the brain palsy recovery machine system according to claim 4 based on the training of voice semanteme, it is characterised in that:Described The input AC electricity AC voltage range of the transformer of voltage-stablizer is 100-240V, and input current is in 0.6A, the DC voltage of output For 12V.
7. the brain palsy recovery machine system according to claim 1 based on the training of voice semanteme, it is characterised in that:On reply by cable Position is connected to reseting port by the resistance string of a capacitor and a 10k.
CN201820168103.2U 2018-01-31 2018-01-31 Brain palsy recovery machine system based on the training of voice semanteme Active CN208111073U (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108320736A (en) * 2018-01-31 2018-07-24 常熟理工学院 Brain palsy recovery robot voice semanteme training system and method

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108320736A (en) * 2018-01-31 2018-07-24 常熟理工学院 Brain palsy recovery robot voice semanteme training system and method
CN108320736B (en) * 2018-01-31 2023-09-01 常熟理工学院 Speech semantic training system and method for cerebral palsy rehabilitation robot

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