CN103315753A - Portable sentiment analyzer and sentiment analysis method - Google Patents
Portable sentiment analyzer and sentiment analysis method Download PDFInfo
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- CN103315753A CN103315753A CN2013102549324A CN201310254932A CN103315753A CN 103315753 A CN103315753 A CN 103315753A CN 2013102549324 A CN2013102549324 A CN 2013102549324A CN 201310254932 A CN201310254932 A CN 201310254932A CN 103315753 A CN103315753 A CN 103315753A
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Abstract
The invention discloses a portable sentiment analyzer and a sentiment analysis method. The portable sentiment analyzer comprises a heart rate variation sensor for acquiring heart rate signals of a tested target, a skin conductivity sensor for acquiring skin conductivity signals and a center control system for receiving and processing the signals. The sentiment analysis method includes acquiring physiological signals of the tested target and judging sentiment changes of the tested target according to information reflected from the physiological signals, so that doctors can interfere in negative physiological states of patents according to sentiment changes of the patents, and physiological treatment effect is better.
Description
Technical field
The present invention relates to a kind of medical apparatus, particularly a kind of portable sentiment analysis instrument and analytical method.
Background technology
Investigation shows that the sufferer emotion has significant impact to medical effect.At present for patient with severe symptoms and the treatment of expressing impaired patients mainly take the physiology treatment as main, lack the concern to the sufferer psychologic situation.Minority hospital carries out the psychologic situation that psychological auxiliary treatment also is difficult to understand the serious symptom sufferer and expresses impaired patients to sufferer.
Present psychologic situation method of testing is mainly done the psychological test topic or is exchanged with professional psychologist.The result who obtains rule of thumb obtains often, and accuracy is low, and for the severe case or express impaired patients etc. and can't test or talk sufferer and can't obtain its psychologic status at all.
Therefore be badly in need of a kind of checkout gear and analytical method thereof that can reflect communication disorder crowd mood or emotion changes.
Summary of the invention
In view of this, technical problem to be solved by this invention provides a kind of checkout gear that can reflect patient's mood or emotion changes.The doctor can be interfered the negative mental status of sufferer according to sufferer mood situation of change, reach better physiology therapeutic effect.
One of purpose of the present invention is to propose a kind of portable sentiment analysis instrument; Two of purpose of the present invention is to propose a kind of emotion analytical method based on physiological signal.
One of purpose of the present invention is achieved through the following technical solutions:
Portable sentiment analysis instrument provided by the invention comprises central control system, changes in heart rate sensor and skin conductance sensor; Described changes in heart rate sensor is for the heart rate signal that gathers measurand; Described skin conductance sensor is for the skin conductivity signal that gathers measurand; Described central control system be used for to receive the signal that changes in heart rate sensor and skin conductance sensor collect, and described central control system is by Treatment Analysis heart rate signal and skin conductivity signal and form testee's mood changes signal.
Further, described central control system comprises display screen, data storage system, control mainboard, on and off switch, skin conductance sensor switch and changes in heart rate sensing switch; Described changes in heart rate sensor, skin conductance sensor are connected with data storage system by the control mainboard; Described control mainboard is connected with data storage system difference display screen.
Further, also comprise skin conductance sensor switch, changes in heart rate sensing switch, storage key, read key and on and off switch; Described skin conductance sensor switch is connected with skin conductance sensor, described changes in heart rate sensing switch is connected with the changes in heart rate sensor, described storage key is connected with data storage system, and the described key that reads is connected with the control mainboard, and described on and off switch is connected with power subsystem.
Further, described changes in heart rate sensor and skin conductance sensor adopt multi-point data acquisition.
Further, also comprise wrist strap, described wrist strap is used for retainer instrument in human arm.
Two of purpose of the present invention is achieved through the following technical solutions:
Portable sentiment analysis method provided by the invention may further comprise the steps:
S1: obtain measured's heart rate signal, skin conductivity signal that skin conductance sensor is obtained the measured and be input in the control mainboard as process chip by the changes in heart rate sensor;
S2: two signals of telecommunication of heart rate signal and skin conductivity signal form the intercepting waveshape signal in the intercepting unit interval;
S3: the intercepting waveshape signal is carried out pretreatment;
S4: extract the eigenvalue through pretreated signal;
S5: utilize two classification emotion identification methods that eigenvalue is processed and obtain the mood changes signal;
S6: output also shows mood changes signal formation measured mood changes curve.
Further, the pretreatment among the described step S3 may further comprise the steps:
S31: adopt the wavelet transformation noise reduction that the intercepting waveshape signal is carried out the disposal of gentle filter;
S32: the signal through the disposal of gentle filter is carried out the wavelet transformation noise reduction process;
Further, the eigenvalue among the described step S4 may further comprise the steps:
S41: extract the statistic signal characteristic value through pretreated signal;
S42: the employing discrete Fourier transform (DFT) is carried out analysis of spectrum to statistic signal characteristic value and is extracted the signal eigenvalue of spectral component of low frequency range.
Further, utilize the methods of two classification emotion recognition process to obtain also to carry out following steps before the mood changes signal among the described step S5: to adopt correlation coefficient process to remove an identical eigenvalue in the eigenvalue of complete dependence in the eigenvalue.
The invention has the advantages that: the present invention adopts changes in heart rate sensor and skin conductance sensor to obtain the physiological signal of measurand, thereby judge the emotion changes of measurand according to the information that physiological signal reflects, make the doctor can be according to sufferer mood situation of change, negative mental status to sufferer is interfered, and reaches better physiology therapeutic effect.
And, in order to measure more accurately the physiological signal of sufferer, select the data multipoint acquisition, multipoint acquisition is to have a plurality of collection points to gather at the instrument back side, the meansigma methods of a plurality of sensors is as calculating data, reduced the situation that error appears in physiological signal.
Description of drawings
In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention is described in further detail below in conjunction with accompanying drawing, wherein:
Fig. 1 uses schematic diagram for the portable sentiment analysis instrument that the embodiment of the invention provides;
The portable sentiment analysis instrument structural representation that Fig. 2 provides for the embodiment of the invention;
The portable sentiment analysis instrument front schematic view that Fig. 3 provides for the embodiment of the invention;
The portable sentiment analysis instrument schematic rear view that Fig. 4 provides for the embodiment of the invention;
Fig. 5 shows schematic diagram for the portable sentiment analysis instrument waveform that the embodiment of the invention provides;
The portable sentiment analysis method flow diagram that Fig. 6 provides for the embodiment of the invention.
Among the figure, wrist strap 1, supply unit 2, central control system 3, display screen 31, data storage system 32, control mainboard 33, on and off switch 34, skin conductance sensor switch 35, changes in heart rate sensing switch 36, changes in heart rate sensor 4, skin conductance sensor 5.
The specific embodiment
Below with reference to accompanying drawing, the preferred embodiments of the present invention are described in detail; Should be appreciated that preferred embodiment only for the present invention is described, rather than in order to limit protection scope of the present invention.
The outside schematic diagram of portable sentiment analysis instrument that Fig. 1 provides for the embodiment of the invention, the outside schematic diagram of portable sentiment analysis instrument that Fig. 2 provides for the embodiment of the invention, the portable sentiment analysis instrument display screen schematic diagram that Fig. 3 provides for the embodiment of the invention, as shown in the figure: portable sentiment analysis instrument provided by the invention, comprise wrist strap 1, central control system 3, changes in heart rate sensor 4, skin conductance sensor 5; Described wrist strap 1 is used for the fixture instrument; Described power supply 2 is used to instrument that electric energy is provided; Described changes in heart rate sensor 4 is for the heart rate signal that gathers measurand; Described skin conductance sensor 5 is for the skin conductivity signal that gathers measurand; Described central control system 3, be used for to receive and process the signal that changes in heart rate sensor 4, skin conductance sensor 5 collect, described central control system 3 is by Treatment Analysis heart rate signal and skin conductivity signal and form testee's mood changes signal.
Described central control system 3 comprises display screen 31, data storage system 32, controls mainboard 33, on and off switch 34, skin conductance sensor switch 35, changes in heart rate sensing switch 36, storage key 37 and reads key 38, and described changes in heart rate sensor 4, skin conductance sensor 5 are connected with data storage system 32 by control mainboard 33; Described control mainboard 33 is connected with data storage system difference display screen 31.
Also comprise skin conductance sensor switch 35, changes in heart rate sensing switch 36, storage key 37, read key 38, on and off switch 34,
Described skin conductance sensor switch 35 is connected with skin conductance sensor 5,
Described changes in heart rate sensing switch 36 is connected with changes in heart rate sensor 4,
Described storage key 37 is connected with data storage system 32, and the described key 38 that reads is connected with control mainboard 33, and described on and off switch 34 is connected with power subsystem 1.
Described power subsystem 1 comprises attaching plug 1 and transformator 2, described attaching plug 1, be used for alternating current power supply be connected, described transformator 2 one ends are connected with attaching plug, the other end is connected with data storage system 32.
Described power subsystem 1 also comprises on and off switch 34, and described on and off switch 34 is connected between transformator 2 and the data storage system 32.
Described changes in heart rate sensor 4, skin conductance sensor 5 adopt multi-point data acquisition.
When the present embodiment uses in reality, attaching plug can be connected on the alternating current power supply of 220V, 50HZ, for portable sentiment analysis instrument provides electric energy; Wrist strap 1 is used for retainer instrument; Power subsystem 2 is used to instrument that electric energy is provided; Central control system 3, it has display screen 31(detail drawing and sees Fig. 3), data storage system 32, control mainboard 33, on and off switch 34, skin conductance sensor switch 35, changes in heart rate sensing switch 36, control mainboard 33 is with changes in heart rate sensor 4, the signal of telecommunication calculation process that skin conductance sensor 5 is imported into obtains the mood changes curve and real-time integral status evaluation of estimate is transported to respectively display screen 31 and stocking system 33, whether on and off switch 34 can be controlled machine and move, and skin conductance sensor switch 35 can be controlled the working condition of skin conductance sensor 5, changes in heart rate sensing switch 36 can be controlled the working condition of changes in heart rate sensor 4; Changes in heart rate sensor 4 is converted into the changes in heart rate numerical signal of the measured the signal of telecommunication and imports control system 3 into via wire; Skin conductance sensor 5 can be converted into the skin conductivity numerical signal of the measured the signal of telecommunication and import control system 3 into via wire.
In an embodiment of the present invention, in order to understand patient's mood course, adopt storage device (storage device 33 as shown in Figure 1).The doctor can be interfered the negative mental status of sufferer according to sufferer mood situation of change, reach better physiology therapeutic effect.
And, in order to measure more accurately the physiological signal of sufferer, in various embodiments of the present invention, select the data multipoint acquisition, the meansigma methods of a plurality of sensors is as calculating data, reduced the situation that error appears in physiological signal.
The present embodiment also provides a kind of and has utilized portable sentiment analysis instrument to come the testee is carried out the analytical method of emotion test, may further comprise the steps:
S1: obtain measured's heart rate signal, skin conductivity signal that skin conductance sensor is obtained the measured and be input in the control mainboard as process chip by the changes in heart rate sensor;
S2: two signals of telecommunication of heart rate signal and skin conductivity signal form the intercepting waveshape signal in the intercepting unit interval;
S3: the intercepting waveshape signal is carried out pretreatment;
S4: extract the eigenvalue through pretreated signal;
S5: utilize two classification emotion identification methods that eigenvalue is processed and obtain the mood changes signal;
S6: output also shows mood changes signal formation measured mood changes curve; The mood changes curve can be shown by the optimizing model of process chip output, when the measured is in positive emotional state, demonstrate and be output as 1, tranquility is output as 0, show output-1 during the negative-morality state, along with the variation of time, obtained the curve of measured's mood changes at display screen.Can find out the mental status situation that the measured is present according to curvilinear motion, estimate out the present mental emotion of measured by the ratio size of the positive emotion of measured and negative-morality.
Pretreatment among the described step S3 may further comprise the steps:
S31: adopt the wavelet transformation noise reduction that the intercepting waveshape signal is carried out the disposal of gentle filter; Mainly be divided into wavelet coefficient and decompose in the wavelet transformation noise reduction process, threshold values is processed and three processes of signal reconstruction.Wherein core procedure is that signal is carried out parameter identification threshold values after the wavelet decomposition.Threshold values choose the direct quality that affects noise reduction.
S32: the signal through the disposal of gentle filter is carried out the wavelet transformation noise reduction process;
Eigenvalue among the described step S4 may further comprise the steps:
S41: extract the statistic signal characteristic value through pretreated signal; This described statistic comprises such as average, intermediate value, variance, maximum, minima and excursion.
S42: the employing discrete Fourier transform (DFT) is carried out analysis of spectrum to statistic signal characteristic value and is extracted the signal eigenvalue of spectral component of low frequency range.
Utilize the methods of two classification emotion recognition process to obtain also to carry out following steps before the mood changes signal among the described step S5: to adopt correlation coefficient process to remove an identical eigenvalue in the eigenvalue of complete dependence in the eigenvalue.
The above is the preferred embodiments of the present invention only, is not limited to the present invention, and obviously, those skilled in the art can carry out various changes and modification and not break away from the spirit and scope of the present invention the present invention.Like this, if of the present invention these are revised and modification belongs within the scope of claim of the present invention and equivalent technologies thereof, then the present invention also is intended to comprise these changes and modification interior.
Claims (9)
1. portable sentiment analysis instrument is characterized in that: comprise central control system, changes in heart rate sensor and skin conductance sensor; Described changes in heart rate sensor is for the heart rate signal that gathers measurand; Described skin conductance sensor is for the skin conductivity signal that gathers measurand; Described central control system be used for to receive the signal that changes in heart rate sensor and skin conductance sensor collect, and described central control system is by Treatment Analysis heart rate signal and skin conductivity signal and form testee's mood changes signal.
2. portable sentiment analysis instrument according to claim 1, it is characterized in that: described central control system comprises display screen, data storage system, control mainboard, on and off switch, skin conductance sensor switch and changes in heart rate sensing switch; Described changes in heart rate sensor, skin conductance sensor are connected with data storage system by the control mainboard; Described control mainboard is connected with data storage system difference display screen.
3. portable sentiment analysis instrument according to claim 1 is characterized in that: also comprise skin conductance sensor switch, changes in heart rate sensing switch, storage key, read key and on and off switch; Described skin conductance sensor switch is connected with skin conductance sensor, described changes in heart rate sensing switch is connected with the changes in heart rate sensor, described storage key is connected with data storage system, and the described key that reads is connected with the control mainboard, and described on and off switch is connected with power subsystem.
4. portable sentiment analysis instrument according to claim 3 is characterized in that: described changes in heart rate sensor and skin conductance sensor employing multi-point data acquisition.
5. portable sentiment analysis instrument according to claim 1 is characterized in that: also comprise wrist strap, described wrist strap is used for retainer instrument in human arm.
6. utilize each described portable sentiment analysis instrument of claim 1-5 to the analytical method that the testee carries out emotion test, it is characterized in that: may further comprise the steps:
S1: obtain measured's heart rate signal, skin conductivity signal that skin conductance sensor is obtained the measured and be input in the control mainboard as process chip by the changes in heart rate sensor;
S2: two signals of telecommunication of heart rate signal and skin conductivity signal form the intercepting waveshape signal in the intercepting unit interval;
S3: the intercepting waveshape signal is carried out pretreatment;
S4: extract the eigenvalue through pretreated signal;
S5: utilize two classification emotion identification methods that eigenvalue is processed and obtain the mood changes signal;
S6: output also shows mood changes signal formation measured mood changes curve.
7. portable sentiment analysis method according to claim 6, it is characterized in that: the pretreatment among the described step S3 may further comprise the steps:
S31: adopt the wavelet transformation noise reduction that the intercepting waveshape signal is carried out the disposal of gentle filter;
S32: the signal through the disposal of gentle filter is carried out the wavelet transformation noise reduction process;
8. the analytical method of portable sentiment analysis instrument according to claim 6, it is characterized in that: the eigenvalue among the described step S4 may further comprise the steps:
S41: extract the statistic signal characteristic value through pretreated signal;
S42: the employing discrete Fourier transform (DFT) is carried out analysis of spectrum to statistic signal characteristic value and is extracted the signal eigenvalue of spectral component of low frequency range.
9. portable sentiment analysis method according to claim 6 is characterized in that: utilize the methods of two classification emotion recognition to process among the described step S5 and obtain also to carry out following steps before the mood changes signal: adopt correlation coefficient process to remove an identical eigenvalue in the eigenvalue of complete dependence in the eigenvalue.
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Cited By (13)
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| CN104010132A (en) * | 2014-05-19 | 2014-08-27 | 深圳市点通数据有限公司 | Intelligent filming device and method based on emotion control |
| CN104224120A (en) * | 2014-09-15 | 2014-12-24 | 北京智谷技术服务有限公司 | Recognition method and equipment for inner or outer side of limb |
| CN104490407A (en) * | 2014-12-08 | 2015-04-08 | 清华大学 | Wearable mental stress evaluating device and method |
| CN104799831A (en) * | 2015-03-18 | 2015-07-29 | 四川九洲电器集团有限责任公司 | Wearable device for emotion monitoring |
| CN105212949A (en) * | 2015-08-25 | 2016-01-06 | 西南大学 | A kind of method using skin pricktest signal to carry out culture experience emotion recognition |
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| CN106691430A (en) * | 2016-12-21 | 2017-05-24 | 深圳欧德蒙科技有限公司 | Emotion judging method and device |
| CN107111334A (en) * | 2014-11-06 | 2017-08-29 | 微软技术许可有限责任公司 | Modular wearable equipment for passing on affective state |
| CN107334480A (en) * | 2017-08-18 | 2017-11-10 | 湖州靖源信息技术有限公司 | A kind of portable body psychological activity assesses instrument |
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Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104010132A (en) * | 2014-05-19 | 2014-08-27 | 深圳市点通数据有限公司 | Intelligent filming device and method based on emotion control |
| CN104224120A (en) * | 2014-09-15 | 2014-12-24 | 北京智谷技术服务有限公司 | Recognition method and equipment for inner or outer side of limb |
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| CN107111334A (en) * | 2014-11-06 | 2017-08-29 | 微软技术许可有限责任公司 | Modular wearable equipment for passing on affective state |
| CN104490407A (en) * | 2014-12-08 | 2015-04-08 | 清华大学 | Wearable mental stress evaluating device and method |
| CN104799831A (en) * | 2015-03-18 | 2015-07-29 | 四川九洲电器集团有限责任公司 | Wearable device for emotion monitoring |
| CN105212949A (en) * | 2015-08-25 | 2016-01-06 | 西南大学 | A kind of method using skin pricktest signal to carry out culture experience emotion recognition |
| CN105596016A (en) * | 2015-12-23 | 2016-05-25 | 王嘉宇 | Human body psychological and physical health monitoring and managing device and method |
| CN106691430A (en) * | 2016-12-21 | 2017-05-24 | 深圳欧德蒙科技有限公司 | Emotion judging method and device |
| CN106691430B (en) * | 2016-12-21 | 2019-10-11 | 深圳欧德蒙科技有限公司 | A kind of emotion judgment method and apparatus |
| WO2018152757A1 (en) * | 2017-02-22 | 2018-08-30 | 杨晓明 | System for use in child physiological parameters collection and emotion detection |
| CN107334480A (en) * | 2017-08-18 | 2017-11-10 | 湖州靖源信息技术有限公司 | A kind of portable body psychological activity assesses instrument |
| CN108670244A (en) * | 2018-05-29 | 2018-10-19 | 浙江大学 | A kind of wearable physiology of flexible combination formula and psychological condition monitoring device |
| CN109464122A (en) * | 2018-11-05 | 2019-03-15 | 西南大学 | Individual central trait forecasting system and method based on multi-modal data |
| CN111466888A (en) * | 2020-04-01 | 2020-07-31 | 北京龙德时代技术服务有限公司 | Production post personnel health and safety control system based on multi-data analysis |
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Application publication date: 20130925 |