CN105581802A - System and method for carrying out real-time judgment on emotional fluctuation - Google Patents

System and method for carrying out real-time judgment on emotional fluctuation Download PDF

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CN105581802A
CN105581802A CN201410654575.5A CN201410654575A CN105581802A CN 105581802 A CN105581802 A CN 105581802A CN 201410654575 A CN201410654575 A CN 201410654575A CN 105581802 A CN105581802 A CN 105581802A
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factor
value
mood
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represent
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欧阳健飞
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Beijing Konstar Technology Co. Ltd.
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TIANJIN DIANKANG TECHNOLOGY Co Ltd
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Abstract

The invention discloses a system for carrying out real-time judgment on emotional fluctuation. The system comprises an image acquisition unit, an image processing unit, an algorithm analysis unit, a user information input unit, a data access unit and a data information processing unit, wherein the image acquisition unit is used for acquiring a video or an image sequence of the human skin; the image processing unit is used for extracting pulse wave signals of the acquired video or image sequence, and carrying out filtering and noise reduction; the algorithm analysis unit is used for calculating physiological parameter values, namely, the blood pressure, respiration and heart rate according to the pulse wave signals after filtering and noise reduction; the user information input unit is used for typing in the personal information of a user; the data access unit is used for determining the emotional parameter values based on the reference data values of the blood pressure, respiration and heart rate, the physiological parameter values obtained after calculation by the algorithm analysis unit, and the typed personal information of the user; and the data information processing unit is used for determining the emotion values according to the parameter values obtained by the data access unit.

Description

A kind of system and method that carries out real-time anxious state of mind judgement
Technical field
The invention belongs to emotion judgment field, particularly a kind of system of carrying out real-time anxious state of mind judgement.
Background technology
Human body is an entirety, and people's health and mood have substantial connection. People's mood is a kind of psychological phenomena. Glad, happy, happy, happy, light, gratified, sad, fear, the emotional activity that all belongs to such as frightened, uneasy, nervous, worried, melancholy. This emotional activity finally can present at inside of human body with the form of fluctuation of blood pressure. World Health Organization's tissue is pointed out: " health is not only does not have disease and not weak, and is the satisfactory state of health, psychology, social three aspects:. " everyone wants healthyly for this reason, must have healthy mood. Among healthy mood is embodied in daily life and works. Active mood is to healthy and helpful, and negative feeling can affect physical and mental health. The traditional Chinese medical science just has overjoy impairing heart, raged impairing liver from ancient times, anxiety impairs the spleen, Grief may impair the lung in China, the saying of terror impariring kidney, visible motherland traditional Chinese medicine is paid much attention to people's mood and healthy relation. In the time of people's emotional change, be often accompanied by physiological change. For example, people, in the time of terror, there will be a series of variations such as pupil change is large, thirsty, perspiration, pale. These physiological change have positive effect in normal situation, can make health each several part mobilize energetically, the needs that change to adapt to external environment. But, excessive negative feeling, long-term unhappy, frightened, disappointed, can suppress gastrointestinal motility, thereby affect digestive function. Dispirited, low or too nervous people, is often susceptible to various illness. Therefore, what means to judge a people's anxious state of mind by, how to embody intuitively the health effect that anxious state of mind brings, how to maintain and be beneficial to healthy positive expectations, just determined that we are for a kind of active demand of carrying out real-time anxious state of mind decision-making system of exploitation.
Summary of the invention
The problem existing based on above-mentioned prior art, the present invention proposes a kind of system of carrying out real-time anxious state of mind judgement, can, by the human body indicators parameter to including blood pressure, breathing, heart rate, date of birth, age, time for falling asleep etc., realize the real-time judgment of emotional state by the means of technology.
According to an aspect of the present invention, propose a kind of anxious state of mind decision-making system in real time, comprising: image acquisition units, for gathering video or the image sequence of human body skin; Graphics processing unit, carries out pulse wave signal extraction for the video to gathered or image sequence, and carries out filtering and noise reduction; Algorithm Analysis unit, calculates the value of physiological parameter blood pressure, breathing and heart rate according to described pulse wave signal after filtering and noise reduction; User profile input block, for typing userspersonal information; Data access unit, obtains based on blood pressure, breathing, heart rate reference data value, the physiologic parameter value that Algorithm Analysis unit calculates, the userspersonal information of typing the parameter value of determining mood; Processing data information unit, determines mood value for the parameter value obtaining according to data access unit.
According to a further aspect in the invention, also propose a kind of anxious state of mind decision method in real time, comprising: the video or the image sequence that gather human body skin by image acquisition units; By graphics processing unit, gathered video or image sequence are carried out to pulse wave signal extraction, and carry out filtering and noise reduction; Calculate the value of physiological parameter blood pressure, breathing and heart rate according to described pulse wave signal after filtering and noise reduction by Algorithm Analysis unit; By user profile input block typing userspersonal information; Obtain based on blood pressure, breathing, heart rate reference data value, the physiologic parameter value that Algorithm Analysis unit calculates, the userspersonal information of typing the parameter value of determining mood by data access unit; The parameter value obtaining according to data access unit by processing data information unit is determined mood value.
Compared with prior art, the present invention is by the mode that human body basic physiology situation is combined with biological rhythm, and the anxious state of mind situation of real-time judge in different time, under different conditions environment, embodies anxious state of mind situation intuitively.
Brief description of the drawings
Fig. 1 is the system architecture schematic diagram that the present invention can carry out real-time anxious state of mind judgement.
Detailed description of the invention
For making the object, technical solutions and advantages of the present invention clearer, below in conjunction with specific embodiment, and with reference to accompanying drawing, the present invention is described in more detail.
Fig. 1 is the real-time anxious state of mind decision-making system of one of the present invention structural representation, and this system comprises image acquisition units, graphics processing unit, Algorithm Analysis unit, user profile input block, processing data information unit, data access unit and information release unit.
Wherein image acquisition units is for gathering video or the image sequence of human body skin by camera sensing device. Image acquisition units of the present invention is actual is camera sensing device, this camera can be general network camera, built-in camera or the external USB cameras such as mobile phone, panel computer, camera, laptop, in ambient lighting condition while not being fine, can select the light sources such as LED lamp as secondary light source, collaborative image acquisition units completes the collection of video or image sequence. The single finger position skin of the preferential collection of camera. Finger front end is attached on camera, treats that camera collection is complete, and finger is withdrawn camera.
Graphics processing unit is used for gathered video or image sequence to carry out pulse wave signal extraction, and completes filtering and noise reduction. Wherein pulse wave signal extraction and filtering and noise reduction are not inventive point of the present invention. 201410149101.5 at application number, denomination of invention be " a kind of automatic blood pressure measurement system " the applicant propose patent application in disclose how to carry out pulse wave signal extraction and filtering and noise reduction, graphics processing unit of the present invention is according to carrying out pulse wave signal extraction and filtering and noise reduction with method identical in this patent documentation. If also can omit filtering processing when the picture quality that device systems noise is lower or gather is relatively good.
Algorithm Analysis unit, for the pulse wave after filtering and noise reduction is analyzed to conversion, and finally calculates the physiologic parameter value including blood pressure, breathing, heart rate. User profile typing unit, the userspersonal information for typing including date of birth, age, height, body weight, sex, time for falling asleep. The life rhythm mood factor, the solar calendar factor of date of birth in judging for mood, the lunar calendar factor plays conclusive effect, the difference of sex, physique is also not quite similar, and time for falling asleep acts on the channels and collaterals factor, and Data Enter is complete carries out first blood pressure measurement. Save as a reference value. A reference value be decided by the value of each factor and directly obtain, the operation such as indirect calculation.
Data access unit, for the blood pressure reference data value, Algorithm Analysis unit of storage being calculated to the physiological parameter information (comprising the blood pressure, heart rate, the breathing that detect) that generates and being carried out the calculating of comparing of following method by the userspersonal information of user profile typing unit typing, and obtain 8 corresponding evaluations.
Its 8 related numerical value calculate acquisition in the following manner:
1, the life rhythm mood factor: human body biological periodic claims again humanbody biological rhythm, intelligence, mood and the muscle power that concrete manifestation is behaved presents the cyclically-varying of " high-tide period-critical period-low tide one " in time. 20 beginnings of the century, the conspicuous female Fu Lisi of Germany physician Weir and Austrian psychologist's Herman Si Waboda are by long-term clinical observation, find that people's mood and physical cycle change, the period of change of mood is 28 days, people find again the middle couple of days in each cycle subsequently, people's emotional instability, is called as critical day in the past few days. Half period before critical day is high-tide period, and the later half period of critical day is low tide one. People starts mood according to the order of high-tide period-critical period-low tide one from birth, and generating period changes circularly. Chinese middle school Physical Education Teacher Yang Wei river is further developing this theory aspect instruction of papil college entrance examination. When people is in high-tide period time, according to the concrete solar calendar birthdate of user's typing, according to anxious state of mind periodic quantity, obtain the life emotional rhythm factor by calculating. So as follows according to periodical algorithms:
X 1 = 1.5 - sin ( 360 × X ′ / 28 ) + 1 2
Wherein a represents out the anniversary number of birthday to measuring and calculating day experience, works as b1<when b2 (b1 representative birth month, b2 representative measuring and calculating month), a=a2-a1 (a1 is year of birth, and a2 is measuring and calculating year); as b1>When b2, a=a2-a1-1; The number of days whole month of b1 ' the representative birth moon, goes out the whole month number of days algebraical sum B of birthday to measuring and calculating day experience. C1 represents out the birthday, and a C2 representative measuring and calculating day X1 is the final mood factor.
2, the solar calendar factor: according to the concrete solar calendar birth month day of user's typing, filter out specific data from tables of data, as user's solar calendar factor.
3, the lunar calendar factor: go out the birthday according to the concrete lunar calendar of user's typing, filter out specific data from tables of data, as user's lunar calendar factor.
As above table, the solar calendar date of birth that user fills in, can corresponding obtain a concrete numerical value.
This value is the lunar calendar factor.
4, the physique factor: according to the sex of user's typing, for example can determine by the form of survey user's system, physique comprises 9 kinds, respectively: gentle matter, deficiency of vital energy matter, deficiency of yang matter, deficiency of Yin matter, damp and hot matter, blood stasis matter, the wet matter of phlegm, obstruction of the circulation of vital energy matter, the special matter of reporting.
User's physique can be one or more in 9 kinds, for example, can be only gentle matter, may be also deficiency of vital energy matter, deficiency of yang matter, deficiency of Yin matter, damp and hot matter and blood stasis matter simultaneously, in definite physique because of the period of the day from 11 p.m. to 1 a.m, if physique number of results is to be greater than 3.
Physique number of results is greater than 3, gets first three physique), carry out the corresponding inquiry of data.
According to formula, (Section 1+Section 2 * 0.8+ Section 3 * 0.6)/item number, if item number implication is for only detecting a kind of system, item number is 1, if detect two kinds of systems, item number is 2, if detect three kinds of physique, item number is 3. finally to obtain the physique factor.
5, the channels and collaterals factor: according to dividing the length of one's sleep of user's typing. If custom length of one's sleep of user is before 23:00, the timetable of user's corresponding each period of the length of one's sleep on the same day is inquired about, obtain the mood factor, example user was 1~3 o'clock the length of one's sleep on the same day, the channels and collaterals factor obtaining is 0.2. if custom length of one's sleep of user is after 23:00, the timetable (tables of data was different from the length of one's sleep before 23:00) of user's corresponding each period of the length of one's sleep on the same day is inquired about, obtain the mood factor, be the channels and collaterals factor, example user was 3~5 o'clock the length of one's sleep on the same day, and the channels and collaterals factor obtaining is 0.3.
6, breathe the factor: be greater than 3 years old as initial taking age of user, by measured's respiratory rate and respiratory rate a reference value are contrasted to the acquisition breathing factor. Breathing a reference value is 20.
(1), when measured value≤a reference value, breathing the factor is 0;
(2), when measured value >=a reference value+15, breathing the factor is 1;
(3), when 20 < measured value < 35, breathe the factor and equal (measured value-a reference value)/15;
7, the heart rate factor: according to the birthdate of user's typing, age of acquisition, divided according to the age. The normal cardiac rate scope of all ages and classes section is different from heart rate a reference value, obtains the final heart rate factor by comparing calculation. Age, heart rate a reference value was 83 at 7~14 years old; Age, heart rate a reference value was 81 at 15~21 years old; Age, heart rate a reference value was 73 at 21~60 years old; Age, heart rate a reference value was 74 at 61~80 years old;
(1) when measured value≤a reference value: the heart rate factor equals 0.
(2) when measured value >=a reference value+50: the heart rate factor equals 1.
(3) when a reference value < measured value < a reference value+50: the heart rate factor equals (measured value-a reference value)/50.
8, the relative rhythmic fluctuation factor: a reference value of the blood pressure measuring for the first time according to user, search with the corresponding time standard value that data obtain and do subtraction, M=a reference value-standard value, while again measurement, the pressure value obtaining, systolic pressure rhythm and pace of moving things value=detected value+M now, then calculate high voltage difference value P=A (searching the standard value that database obtains according to the time)-systolic pressure rhythm and pace of moving things value, high voltage difference value is as the criterion of the situation of fluctuation of blood pressure. In the time that high voltage difference value P is less than or equal to 0, the rhythmic fluctuation factor is 0 relatively, when 0<p<50 o'clock, the rhythmic fluctuation factor equals p/50 relatively. Work as P>=50, the rhythmic fluctuation factor equals 1 relatively.
Processing data information unit, for the rhythm and pace of moving things factor (X1), the solar calendar factor (X2), the lunar calendar factor (X3), the physique factor (X4), the channels and collaterals factor (X5), the breathing factor (X6), the heart rate factor (X7) that data access unit is obtained, the rhythmic fluctuation factor (X8) is further processed relatively. By mood algorithmic formula:Κi=1 (i=1,2,3,4,5,6,7,8), the value of n is 8, calculates Y value, and judges current emotional status according to Y value. As Y >=1 o'clock, be all treated to Y=1.
Wherein according to the date of birth of user profile typing unit typing, time for falling asleep data message, and the Parameter data information that Algorithm Analysis unit calculates the blood pressure, breathing and the heart rate that obtain obtains X by contrast with reference data value to mateiThe result of (i=1,2,3,4,5,6,7,8), to complete the calculating of Y value.
Information release unit, for issuing emotional information with form intuitively. , illustrate, in the time that user gets up; the blood pressure in morning conventionally can be higher than the general time; now with reference to life rhythm, if be in mood trough, with reference to the solar calendar factor; the situations such as the lunar calendar factor; draw concrete mood, mood has association, the different time of value of mood with these parameters; different places, different environment all can change. Mood value is higher represents that this man month is excited, mood value more low strap just this people is more low, or the negative mood such as disappointed
The invention allows for a kind of anxious state of mind decision method in real time, comprising: the video or the image sequence that gather human body skin by image acquisition units; By graphics processing unit, gathered video or image sequence are carried out to pulse wave signal extraction, and carry out filtering and noise reduction; Calculate the value of physiological parameter blood pressure, breathing and heart rate according to described pulse wave signal after filtering and noise reduction by Algorithm Analysis unit; By user profile input block typing userspersonal information; Obtain based on blood pressure, breathing, heart rate reference data value, the physiologic parameter value that Algorithm Analysis unit calculates, the userspersonal information of typing the parameter value of determining mood by data access unit; The parameter value obtaining according to data access unit by processing data information unit is determined mood value.
Userspersonal information comprises date of birth, age, height, body weight, sex, time for falling asleep. The parameter value that data access unit obtains comprises the life rhythm mood factor, the solar calendar factor, the lunar calendar factor, the physique factor, the channels and collaterals factor, breathes the factor, the heart rate factor, the relative rhythmic fluctuation factor. Mood value is calculated acquisition by following formula:Wherein Y represents mood value, Κi=1, i=1,2,3,4,5,6,7, the value of 8, n is that 8, X1 represents that the rhythm and pace of moving things factor, X2 represent that the solar calendar factor, X3 represent that the lunar calendar factor, X4 represent that the physique factor, X5 represent that the channels and collaterals factor, X6 represent to breathe the factor, X7 represents that the heart rate factor, X8 represent the relative rhythmic fluctuation factor.
Above-described specific embodiment; object of the present invention, technical scheme and beneficial effect are further described; be understood that; the foregoing is only specific embodiments of the invention; be not limited to the present invention; within the spirit and principles in the present invention all, any amendment of making, be equal to replacement, improvement etc., within all should being included in protection scope of the present invention.

Claims (8)

1. a real-time anxious state of mind decision-making system, comprising:
Image acquisition units, for gathering video or the image sequence of human body skin;
Graphics processing unit, carries out pulse wave signal for the video to gathered or image sequence and carriesGet, and carry out filtering and noise reduction;
Algorithm Analysis unit, calculates physiological parameter according to described pulse wave signal after filtering and noise reductionThe value of blood pressure, breathing and heart rate;
User profile input block, for typing userspersonal information;
Data access unit, based on blood pressure, breathing, heart rate reference data value, Algorithm Analysis unit meterThe physiologic parameter value obtaining, the userspersonal information of typing obtain the parameter value of determining mood;
Processing data information unit, determines mood for the parameter value obtaining according to data access unitValue.
2. system according to claim 1, is characterized in that, userspersonal information comprisesRaw days, age, height, body weight, sex, time for falling asleep.
3. system according to claim 1, is characterized in that, data access unit obtainsParameter value comprise the life rhythm mood factor, the solar calendar factor, the lunar calendar factor, the physique factor, channels and collaterals because ofSon, the breathing factor, the heart rate factor, the relative rhythmic fluctuation factor.
4. system according to claim 3, is characterized in that, mood value is calculated by following formulaObtain:
Wherein Y represents mood value, Ki=1,i=1,2,3,4,5,6,7,The value of 8, n is 8, X1Represent the rhythm and pace of moving things factor, X2Represent the solar calendar factor, X3The expression lunar calendar factor, X4Represent the physique factor, X5Represent the channels and collaterals factor, X6Represent to breathe the factor, X7The expression heart rate factor,X8Represent the relative rhythmic fluctuation factor.
5. a real-time anxious state of mind decision method, comprising:
Gather video or the image sequence of human body skin by image acquisition units;
By graphics processing unit, gathered video or image sequence are carried out to pulse wave signal extraction,And carry out filtering and noise reduction;
Calculate physiology by Algorithm Analysis unit according to described pulse wave signal after filtering and noise reductionThe value of parameter blood pressure, breathing and heart rate;
By user profile input block typing userspersonal information;
By data access unit based on blood pressure, breathing, heart rate reference data value, Algorithm Analysis unitThe physiologic parameter value calculating, the userspersonal information of typing obtain the parameter value of determining mood;
The parameter value obtaining according to data access unit by processing data information unit is determined mood value.
6. system according to claim 1, is characterized in that, userspersonal information comprisesRaw days, age, height, body weight, sex, time for falling asleep.
7. system according to claim 1, is characterized in that, data access unit obtainsParameter value comprise the life rhythm mood factor, the solar calendar factor, the lunar calendar factor, the physique factor, channels and collaterals because ofSon, the breathing factor, the heart rate factor, the relative rhythmic fluctuation factor.
8. system according to claim 3, is characterized in that, mood value is calculated by following formulaObtain:
Wherein Y represents mood value, Ki=1,i=1,2,3,4,5,6,7,The value of 8, n is 8, X1Represent the rhythm and pace of moving things factor, X2Represent the solar calendar factor, X3The expression lunar calendar factor,X4Represent the physique factor, X5Represent the channels and collaterals factor, X6Represent to breathe the factor, X7The expression heart rate factor, X8Represent the relative rhythmic fluctuation factor.
CN201410654575.5A 2014-11-17 2014-11-17 System and method for carrying out real-time judgment on emotional fluctuation Pending CN105581802A (en)

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