CN109077740A - Child attention detecting and analysing system and method - Google Patents
Child attention detecting and analysing system and method Download PDFInfo
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- CN109077740A CN109077740A CN201710442588.XA CN201710442588A CN109077740A CN 109077740 A CN109077740 A CN 109077740A CN 201710442588 A CN201710442588 A CN 201710442588A CN 109077740 A CN109077740 A CN 109077740A
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- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000012360 testing method Methods 0.000 claims abstract description 26
- 230000008569 process Effects 0.000 claims abstract description 13
- 238000012545 processing Methods 0.000 claims abstract description 13
- 238000005070 sampling Methods 0.000 claims abstract description 13
- 210000001508 eye Anatomy 0.000 claims description 9
- 239000013078 crystal Substances 0.000 claims description 5
- 238000012546 transfer Methods 0.000 claims description 4
- 230000005611 electricity Effects 0.000 claims description 2
- 238000012549 training Methods 0.000 description 13
- 230000006870 function Effects 0.000 description 7
- 238000004458 analytical method Methods 0.000 description 5
- 230000007547 defect Effects 0.000 description 4
- 230000001394 metastastic effect Effects 0.000 description 4
- 206010061289 metastatic neoplasm Diseases 0.000 description 4
- 208000006096 Attention Deficit Disorder with Hyperactivity Diseases 0.000 description 3
- 208000036864 Attention deficit/hyperactivity disease Diseases 0.000 description 3
- 208000015802 attention deficit-hyperactivity disease Diseases 0.000 description 3
- 230000002950 deficient Effects 0.000 description 3
- 238000003745 diagnosis Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 210000004087 cornea Anatomy 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000004424 eye movement Effects 0.000 description 2
- 230000006641 stabilisation Effects 0.000 description 2
- 238000011105 stabilization Methods 0.000 description 2
- 208000033748 Device issues Diseases 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 210000005252 bulbus oculi Anatomy 0.000 description 1
- 239000012141 concentrate Substances 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 208000013403 hyperactivity Diseases 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000003340 mental effect Effects 0.000 description 1
- 230000003924 mental process Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- 238000002360 preparation method Methods 0.000 description 1
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- 230000004044 response Effects 0.000 description 1
- 210000001525 retina Anatomy 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/168—Evaluating attention deficit, hyperactivity
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4803—Speech analysis specially adapted for diagnostic purposes
Abstract
The invention discloses a kind of child attention detecting and analysing system and method, which includes speech recognition system, and speech recognition system includes voice-input unit, speech digital processing unit.Wherein, speech digital processing unit includes single-chip microprocessor system, PLL phaselocked loop, ADC sampling module, DSP data operation module, speech processes function library.Voice-input unit receives the voice input of children, and automatically control the gain of voice analog signal, voice analog signal is converted to voice digital signal by ADC sampling module, DSP data operation module is quickly handled voice digital signal to be measured, the most similar signal text is found according to speech processes function library, single-chip microprocessor system adjusts the sample frequency of ADC sampling module according to the output of PLL phaselocked loop, and collected voice digital signal is stored.The present invention enables to test result more objective, reliable.
Description
Technical field
The present invention relates to a kind of test macro and methods, more specifically to a kind of child attention test analysis system
System and method.
Background technique
Attention refers to a psychological condition when people is absorbed in a certain things or activity, is to observe, think deeply, remembering, thinking
As most basic ability.Pay attention to only first noticing certain things from start to finish through entire mental process, be likely into one
Step goes training, memory and thinking etc..Due to note that people can just concentrate one's energy clearly to perceive certain things, in depth
Certain problem is thought deeply, without being interfered by other things；Not note that the various mental factors of people, observe, remember, think
As and thinking etc. will cannot get certain support and out of hand.So, it would be desirable to fully understand what attention problem was formed
Reason, scatterbrained performance and harm, and the most fundamental training method is grasped after overall understanding.Attention is surveyed
Examination is to understand most basic one of the approach of child's learning ability.
Attention children is one of five Fundamentals of intelligence, is memory, observation, imagination, thinking ability
Preparation state, so attention is known as the portal of soul.The prior art can test children's by some scales
Attention, these test contents include child do homework at home when whether be difficult to get down study, child whether seldom attend class
Raise one's hand speech, child good friend whether everyway and child is much like, very child whether wear that liang and cover oneself especially by love
The clothes etc. liked.
However, existing test is all made of manual testing, the method that test result is compared with scale, therefore test
Error it is larger, and artifical influence factor is more.
Summary of the invention
For the above-mentioned problems in the prior art, the object of the present invention is to provide a kind of child attention test analysis
System and method
To achieve the above object, the present invention adopts the following technical scheme:
A kind of child attention detecting and analysing system, including speech recognition system, speech recognition system include voice input
Unit, speech digital processing unit.Wherein, speech digital processing unit includes single-chip microprocessor system, PLL phaselocked loop, ADC sampling
Module, DSP data operation module, speech processes function library.Voice-input unit receives the voice input of children, and automatically controls
Voice analog signal is converted to voice digital signal, DSP data operation mould by the gain of voice analog signal, ADC sampling module
Block is quickly handled voice digital signal to be measured, finds the most similar signal text according to speech processes function library
This, single-chip microprocessor system adjusts the sample frequency of ADC sampling module according to the output of PLL phaselocked loop, and collected language
Sound digital signal is stored.
Further, further include crystal oscillator, crystal oscillator by PLL phaselocked loop make its output signal automatically with
Track voice input signal.
It further, further include computer motherboard, single-chip microprocessor system calculates signal File Transfer to computer motherboard
Mainboard is according to signal text output judging result.
Further, voice-input unit includes microphone, microphone amplifying circuit, automatic gain control circuit.Voice
Analog signal enters automatic gain control circuit, automatic gain control circuit adjustment by microphone and microphone amplifying circuit
The signal strength of voice analog signal.
It further, further include Switching Power Supply, Switching Power Supply is double to be grounded, and exports two-way voltage, all the way 3.3V, all the way
9V；9V voltage is voice-input unit power supply, and 3.3V voltage is the power supply of speech digital processing unit.
To achieve the above object, the present invention also adopts the following technical scheme that
A kind of child attention method for testing and analyzing, comprising the following steps: receive voice input；Voice analog signal is gone
Noise and adjust gain；Detect the starting and termination end points of voice analog signal；Voice analog signal is converted into speech digit
Signal, and characteristic signal text is extracted from voice digital signal according to speech processes function library；Judging characteristic signal text is
No match parameter template? if so, exporting corresponding judging result from parameterized template；If it is not, then carrying out new pattern match；Root
Recognition result is exported according to pattern match.
Further, further comprising the steps of: to show multiple dynamics and still image；Issue multiple enquirements and instruction；Inspection
Survey the time of tested children's eyes observation image；Detect the signal of tested children speech expression.
In the above-mentioned technical solutions, child attention detecting and analysing system of the invention and method can receive manual scale
Enter into digital processing system, and carry out data acquisition using computer system, the voice signal for introducing tested children is known automatically
Not, so that mostly dynamic obstacle (ADHD) diagnosis of child attention defect is more scientific, more comprehensively.
Detailed description of the invention
Fig. 1 is speech recognition equipment structural schematic diagram of the present invention；
Fig. 2 is the flow chart of Test of attention analysis method of the present invention；
Fig. 3 is the program flow chart of speech recognition embodiment of the present invention.
Specific embodiment
Technical solution of the present invention is further illustrated with reference to the accompanying drawings and examples.
The present invention discloses a kind of child attention detecting and analysing system first, for hindering to former children's power attention-deficit hyperactivity
Hinder the significant improvement of (ADHD) diagnostic device.Mostly dynamic obstacle (ADHD) diagnostic device of former child attention defect is by being tested youngster
The luminous point moved on virgin eye gaze device screen, eyeball is mobile with the moving target on screen, uses cornea eye and view
The electro-physiological signals changed between nethike embrane diagnose the Stable Defects of attention, i.e. attention deficit hyperactivity disorder.
Main innovation of the invention is speech recognition system therein, phonetic representation signal acquisition and knowledge to children
Not, i.e., hear that test device issues each according to various images, the ear that tested children are visually observed test device viewing area
After kind sound, with the oral voice answering provided, lacked to diagnose range, the distributivity of attention and the metastatic of attention of attention
It falls into, i.e. attention deficit hyperactivity disorder.
Referring to Fig.1, the main frame of speech recognition system of the invention includes voice-input unit, speech digital processing list
Member, crystal oscillator 4, computer motherboard 7.Wherein, voice-input unit further comprises microphone 1, microphone amplifying circuit
2, automatic gain control circuit 3, and speech digital processing unit further comprise single-chip microprocessor system 5e, PLL phaselocked loop 5b,
ADC sampling module 5a, DSP data operation module 5c, speech processes function library 5d.
As shown in Figure 1, voice-input unit receives the voice input of children, and automatically control the increasing of voice analog signal
Benefit.Specifically, voice analog signal enters automatic gain control circuit 3 by microphone 1 and microphone amplifying circuit 2,
The signal strength of the adjustment voice analog signal of automatic gain control circuit 3.Since microphone 1 is apart from different and ambient noise size
Etc. factors make the energy of voice signal have very big difference, if input signal strength is too big or the too small essence that all will affect identification
Degree, 3 adjust automatically signal strength of AGC automatic gain control circuit, the amount of enabling it to are no more than ± 5db range.
In speech digital processing unit, voice analog signal is converted to voice digital signal by ADC sampling module 5a, brilliant
Oscillation body device 4 makes its output signal automatically track voice input signal by PLL phaselocked loop 5b.DSP data operation module 5c
Voice digital signal to be measured is quickly handled, the most similar signal text is found according to speech processes function library 5d
This, single-chip microprocessor system 5e adjusts the sample frequency of ADC sampling module 5a according to the output of PLL phaselocked loop 5b, and acquisition
To voice digital signal stored.In other words, single-chip microprocessor system 5e (including RAM and flash memory) is locked with PLL
The phase ring 5b output signal adjust automatically sample frequency of ADC sampling module 5a, and the signal adopted is stored in single chip microcomputer
The RAM memory of system 5e (including RAM and flash memory).Finally, single-chip microprocessor system 5e extremely counts signal File Transfer
Mainboard 7 is calculated, computer motherboard 7 is according to signal text output judging result.
With continued reference to Fig. 1, Switching Power Supply 6 pairs ground connection, and two-way voltage is exported, all the way 3.3V, all the way 9V.Wherein, 9V electricity
Pressure is that voice-input unit is powered, and 3.3V voltage is the power supply of speech digital processing unit.
Corresponding to above system, invention additionally discloses a kind of child attention method for testing and analyzing, main referring to Fig. 2
The following steps are included:
S1: multiple dynamics and still image are shown on the screen；
S2: multiple enquirements and instruction are issued using the loudspeaker of system；
S3: when tested children are visually observed the various images of test device viewing area, tested children's eyes observation is detected
The time of image；
S4: after tested children's ear hears various problems and instruction, the signal of tested children speech expression is detected, system connects
Receive voice input；
S5: to voice analog signal denoising and adjust gain；
S6: the starting and termination end points of voice analog signal are detected；
S7: voice analog signal is converted into voice digital signal, and is believed according to speech processes function library from speech digit
Characteristic signal text is extracted in number；
At this point, system judging characteristic signal text whether match parameter template?
S8: if so, exporting corresponding judging result from parameterized template；
S9: if it is not, then carrying out new pattern match；
S10: recognition result is exported according to pattern match.
The judgment criteria of test result is as follows: the electro-physiological signals for testing the variation between its cornea eye and retina come
Stabilization, that is, stability defect accounting that diagnosis pays attention to is 40%, and the phonetic representation signal of children is tested by speech recognition system
Diagnose range, distributivity and the metastatic of attention, i.e., the accounting of attention deficit hyperactivity disorder is 60%.Child attention exists
Four kinds of qualities being showed of clinic, the stabilization paid attention to i.e. stability, the range i.e. range of attention, attention distribution divide
Transfer, that is, metastatic with property and attention, by above two test and corresponding software and hardware obtain one it is more scientific, more
Comprehensive diagnosis.
In addition, the present invention further discloses the speech recognition processes being applied in Test of attention analysis method.Voice
Signal is sufficiently complex non-stationary signal, it not only includes semantic information, and there are also personal characteristic informations, to its characteristic parameter
Research be speech recognition basis.
Referring to Fig. 3, the main frame of audio recognition method of the invention includes two large divisions:
The first step is " systematic learning " or " training " stage, this phased mission is the acoustic mode for establishing identification basic unit
Type, i.e. building parameterized template.
Second step is to be adopted using a certain speech analysis method according to certain criterion handle in " identification " or " test " stage
The voice signal obtained is compared with the model in parameterized template, is obtained a result by judgement.
As shown in figure 3, enter " training " or " identification " stage after system starting is initialized, if it is " training " stage,
S11 is then executed, if it is " identification " stage, then executes S12.
S11: system prompt voice " training " has been turned on, and training is prompted to start.
The loudspeaker of system, which issue, to be putd question to and instructs, and tested children answer at once, and voice prompting carries out if " training " success
Next command " training ", voice continues this order " training " if failure.
Each item order is successively trained, until complete order " training " finishes, subsequently enters " test " i.e. voice " identification " rank
Section.
The effect of training stage is initialized to system, the basic parameter of specific tested children is obtained, thus system
Can judge the response data of tested children in normal circumstances, and will be used as after the storage of these data subsequent data iteration and
Matching.Specifically, the data that " training " stage generates are stored according to data type to parameterized template according to the default of system
In, parameter template includes the parameters such as eye movement time data, voice data.
S12: system enters " test " i.e. voice " identification " after the stage, shows multiple dynamics and still image on the screen,
The loudspeaker of system issue multiple enquirements and instruction.
When tested children observe the various images of test device viewing area, detect tested children's eyes observation image when
Between；
After tested children's ear hears various problems and instruction, the signal of tested children speech expression is detected, system receives
Voice input；
System calculates the defective value of the stability of corresponding attention according to the time that tested children's eyes observe image；
Tested children speech analog signal is converted to voice digital signal by system, and according to speech processes function library from language
Characteristic signal text is extracted in sound digital signal；
At this point, system judging characteristic signal text whether match parameter template? the range of attention is obtained by judgement, is divided
With property and metastatic defective value.
System first records the time of above-mentioned eyes observation image, and when with eye movement in parameterized template
Between data be compared, the difference both calculated, and further judge the difference be in advance or lag.Secondly, being
System compares characteristic signal text in conjunction with voice data.Finally, the result that two are compared carries out COMPREHENSIVE CALCULATING, gain attention
The defective value of power stability.
Those of ordinary skill in the art it should be appreciated that more than embodiment be intended merely to illustrate the present invention,
And be not used as limitation of the invention, as long as the change in spirit of the invention, to embodiment described above
Change, modification will all be fallen within the scope of claims of the present invention.
Claims (7)
1. a kind of child attention detecting and analysing system, including speech recognition system, it is characterised in that:
The speech recognition system includes voice-input unit, speech digital processing unit；
Wherein, the speech digital processing unit includes single-chip microprocessor system, PLL phaselocked loop, ADC sampling module, DSP data fortune
Calculate module, speech processes function library；
The voice-input unit receives the voice input of children, and automatically controls the gain of voice analog signal；
The voice analog signal is converted to voice digital signal by the ADC sampling module；
The DSP data operation module is quickly handled voice digital signal to be measured, is looked into according to speech processes function library
Find the most similar signal text；
The single-chip microprocessor system adjusts the sample frequency of ADC sampling module according to the output of PLL phaselocked loop, and handle collects
Voice digital signal stored.
2. child attention detecting and analysing system as described in claim 1, which is characterized in that it further include crystal oscillator, institute
It states crystal oscillator and makes its output signal automatically track voice input signal by PLL phaselocked loop.
3. child attention detecting and analysing system as described in claim 1, which is characterized in that it further include computer motherboard, institute
Single-chip microprocessor system is stated by the signal File Transfer to the computer motherboard, the computer motherboard is according to the signal text
This output judging result.
4. child attention detecting and analysing system as described in claim 1, which is characterized in that the voice-input unit includes
Microphone, microphone amplifying circuit, automatic gain control circuit；
Voice analog signal enters automatic gain control circuit by the microphone and microphone amplifying circuit, described automatic
Gain control circuit adjusts the signal strength of the voice analog signal.
5. child attention detecting and analysing system as described in claim 1, which is characterized in that it further include Switching Power Supply, it is described
Switching Power Supply is double to be grounded, and exports two-way voltage, all the way 3.3V, all the way 9V；9V voltage is voice-input unit power supply, 3.3V electricity
Pressure is that speech digital processing unit is powered.
6. a kind of child attention method for testing and analyzing, which comprises the following steps:
Receive voice input；
To voice analog signal denoising and adjust gain；
Detect the starting and termination end points of voice analog signal；
Voice analog signal is converted into voice digital signal, and is extracted from voice digital signal according to speech processes function library
Characteristic signal text；
Judging characteristic signal text whether match parameter template? if so, exporting corresponding judging result from parameterized template；
If it is not, then carrying out new pattern match；
Recognition result is exported according to pattern match.
7. child attention method for testing and analyzing as claimed in claim 6, which is characterized in that further comprising the steps of:
Show multiple dynamics and still image；
Issue multiple enquirements and instruction；
Detect the time of tested children's eyes observation image；
Detect the signal of tested children speech expression.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021102965A1 (en) * | 2019-11-28 | 2021-06-03 | 垒途智能教科技术研究院江苏有限公司 | Space transformation-based auxiliary test device for hyperkinetic syndrome of childhood, and test method |
| CN113160967A (en) * | 2021-03-12 | 2021-07-23 | 中国科学院计算技术研究所 | Method and system for identifying attention deficit hyperactivity disorder subtype |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6030226A (en) * | 1996-03-27 | 2000-02-29 | Hersh; Michael | Application of multi-media technology to psychological and educational assessment tools |
| US20040058306A1 (en) * | 2002-09-17 | 2004-03-25 | Elisabeth Wiig | Test of parietal lobe function and associated methods |
| US20080255839A1 (en) * | 2004-09-14 | 2008-10-16 | Zentian Limited | Speech Recognition Circuit and Method |
| CN101315770A (en) * | 2008-05-27 | 2008-12-03 | 北京承芯卓越科技有限公司 | System on speech recognition piece and voice recognition method using the same |
| US20150119731A1 (en) * | 2012-01-26 | 2015-04-30 | National Center Of Neurology And Psychiatry | Cognitive function testing system, cognitive function estimation system, cognitive function testing method, and cognitive function estimation method |
| US20160367180A1 (en) * | 2015-06-17 | 2016-12-22 | Obsevera, Inc. | Apparatus and method of conducting medical evaluation of add/adhd |
-
2017
- 2017-06-13 CN CN201710442588.XA patent/CN109077740A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6030226A (en) * | 1996-03-27 | 2000-02-29 | Hersh; Michael | Application of multi-media technology to psychological and educational assessment tools |
| US20040058306A1 (en) * | 2002-09-17 | 2004-03-25 | Elisabeth Wiig | Test of parietal lobe function and associated methods |
| US20080255839A1 (en) * | 2004-09-14 | 2008-10-16 | Zentian Limited | Speech Recognition Circuit and Method |
| CN101315770A (en) * | 2008-05-27 | 2008-12-03 | 北京承芯卓越科技有限公司 | System on speech recognition piece and voice recognition method using the same |
| US20150119731A1 (en) * | 2012-01-26 | 2015-04-30 | National Center Of Neurology And Psychiatry | Cognitive function testing system, cognitive function estimation system, cognitive function testing method, and cognitive function estimation method |
| US20160367180A1 (en) * | 2015-06-17 | 2016-12-22 | Obsevera, Inc. | Apparatus and method of conducting medical evaluation of add/adhd |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021102965A1 (en) * | 2019-11-28 | 2021-06-03 | 垒途智能教科技术研究院江苏有限公司 | Space transformation-based auxiliary test device for hyperkinetic syndrome of childhood, and test method |
| CN113160967A (en) * | 2021-03-12 | 2021-07-23 | 中国科学院计算技术研究所 | Method and system for identifying attention deficit hyperactivity disorder subtype |
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