RU2510238C2 - Method for obtaining information on psychophysiological state of living being - Google Patents

Abstract

FIELD: medicine.

SUBSTANCE: group of inventions refers to biometrics, electronics, medicine and psychology and can be used for obtaining psychophysiological information on living beings, and for measuring, monitoring and correcting the individual's psychophysiological state. The presented versions of the method for obtaining the psychophysiological information consists in measuring individual's head micro motion signals to be processed, including a conversion of the quantities of spatial and time distribution of the head motions into the information-statistic parameters. That is followed by obtaining the information on the psychophysiological state of a living being on the basis of the conversion of the above information-statistic parameters into the presented quantities of the psychophysiological state by certain formulas.

EFFECT: inventions solve the problem of making an objective, reliable and accurate quantitative assessment of such psychophysiological parameters as stress, anxiety, confabulation, a compatibility level with another living being due to using the fine physical characteristics determined by analysing the trajectory of the head micro motions as the basis for manifestations of the vestibular-emotional reflex.

4 ex, 2 dwg

Description

Technical field

The invention relates to the fields of biometry, electronics, medicine and psychology and can be used to obtain psychophysiological information about living objects and to measure, control and correct the psychophysiological state of a person.

State of the art

Discussions about the informational content of movement are conducted, starting from Aristotle, who declared an inextricable link between movement and the life of biological objects, including the connection between motor activity and the psychophysiological state. The thesis of Ivan Mikhailovich Sechenov, formulated by him in 1863 in the classic work “Reflexes of the brain”, that: “All external manifestations of brain activity can be reduced to muscle movement”, most clearly establishes the connection between the process of thinking and movement. The great Charles Darwin, based on the theory of evolution in the book "On the Expression of Emotion in Man and Animals" (1872), argued that "reflex actions characterize the expression of emotions." An outstanding biologist and psychologist of the 20th century, Nobel laureate Konrad Lorenz in the book "Aggression" (1966) stated that anyone who can measure the amplitude and intensity of reflex movements can determine the level of aggressiveness.

Despite these direct recommendations for determining the emotional and functional state through the parameters of reflex movements, until recently, it was not possible to quantitatively and informatively characterize human movements. First of all, because most researchers in the physiology of movement (N. A. Bernstein [1], Mira-I-Lopez [2]) tried to analyze the macro displacement of a person, which is an extremely difficult mathematical problem.

In [3], it was found that maintaining the vertical balance of the human head by the vestibular system can be considered as a function that characterizes the vestibular reflex and, at the same time, as a special case of motor activity characterized by micromotion of the head. The analysis of micro head movements has a number of advantages compared to the analysis of other reflex movements of a person. First of all, head movements are one of the most frequently repeated movements that a person makes during his life. The child begins to hold his head, starting from the second month of life, then the vestibular system constantly maintains the vertical state of the head, moving it in space by hundreds of microns several times per second, resting only when a person is sleeping, or his head is leaning against some object. This phenomenon is called the vestibular-emotional reflex (VER), since it practically connects the parameters of the head movement of a person and his psycho-emotional state [4].

From a physical point of view, the mechanical vibrations of the head are a vibrational process, the parameters of which quantitatively characterize the relationship of energy and movement of the object. To obtain integral information about the parameters of head movement, vibration technology is used [5], which allows quantitatively determining the parameters of periodic movements of each point of the object. Vibroimage is the primary form of the image, each point of which reflects the parameters of the object's motion. The vibroimage is similar to other biomedical types of human images (ultrasound, NMR, IR or X-ray image), each of which reflects certain physical properties. In this case, the vibration image also allows you to receive informative signals similar to the point methods of reading biomedical information - electroencephalography (EEG), galvanic skin reaction (RAG), electrocardiogram (ECG).

The analysis of the head trajectory by its physiological basis differs significantly from the analysis of human emotions based on facial expressions, various models of which were proposed by Ekman [6] and Friedland [7]. Facial expression well reflects vivid and local manifestations of emotions, but it is ineffective in conducting automated analysis of emotions, since it is not a constant psychophysiological process, such as measuring blood pressure (BP), RAG, ECG, i.e. physiological processes traditionally used in lie detection [6].

A known method of obtaining information about the psychophysiological state of a living object by converting the image of the object [8]. This method includes measuring a signal about moving an object by projecting an image on a photodetector and converting the image of the object into an electrical signal, subsequent processing of the specified signal using a vibroimage constructed on the basis of the frequency component of the vibration of the points of a living object and obtaining information about the psychophysiological state of a living object based on the results processing a signal about its movement.

This method [8] is taken by us as a prototype. The prototype allows contactless in real time and imperceptibly for the object of study (person) to receive information about the psychophysiological state of a person, however, the information received in the form of a vibroimage is of a qualitative nature and requires an individual interpretation. If there is some experience, the operator can analyze the psychoemotional state of the object based on the received vibroimage, but automated processing requires the introduction of quantitative parameters characterizing the object, which should increase the objectivity of assessing the state of a person.

SUMMARY OF THE INVENTION

The technical result from the use of the proposed variants of the method is an objective, reliable and accurate quantitative determination of the psychophysiological state of the object.

The inventive methods allow the use of accurate physical characteristics, determined by analyzing the trajectory of micromotion of the head, as the basis for the quantitative determination and measurement of known psychoemotional parameters of a person, such as stress, anxiety.

In the first variant of the method, the technical result is achieved in that in the known method for obtaining information about the psychophysiological state of a living object, which includes measuring a signal about the microdisplacement of the head of a living object, subsequent processing of the specified signal and obtaining information about the psychophysiological state of a living object based on the results of processing the signal of micromotion , to determine the level of stress, receive the amplitude and / or frequency vibroimage of the head of a living object, and measure the trace The parameters of the vibroimage of the head of a living object:

- суммарная амплитуда виброизображения i-той строки левой части объекта; $${\text{A}}_{\text{L}}^{\text{i}}$$

- the total amplitude of the vibration image of the i-th line of the left side of the object;

- суммарная амплитуда виброизображения i-той строки правой части объекта; $${\text{A}}_{\text{R}}^{\text{i}}$$

- the total amplitude of the vibration image of the i-th line of the right side of the object;

- максимальное значение между $${\text{A}}_{\text{L}}^{\text{i}}$$

и $${\text{A}}_{\text{R}}^{\text{i}}$$

; $${\text{A}}_{\text{max}}^{\text{i}}$$

- maximum value between $${\text{A}}_{\text{L}}^{\text{i}}$$

and $${\text{A}}_{\text{R}}^{\text{i}}$$

;

- максимальная частота виброизображения i-той строки левой части объекта; $${\text{F}}_{\text{L}}^{\text{i}}$$

- the maximum frequency of the vibration image of the i-th line of the left side of the object;

- максимальная частота виброизображения i-той строки правой части объекта; $${\text{F}}_{\text{R}}^{\text{i}}$$

- the maximum frequency of the vibration image of the i-th line of the right side of the object;

- максимальное значение между $${\text{F}}_{\text{L}}^{\text{i}}$$

и $${\text{F}}_{\text{R}}^{\text{i}}$$

; $${\text{F}}_{\text{max}}^{\text{i}}$$

- maximum value between $${\text{F}}_{\text{L}}^{\text{i}}$$

and $${\text{F}}_{\text{R}}^{\text{i}}$$

;

n is the number of rows occupied by the object.

calculate the stress level (St), in the range from 0 to 1 or from 0 to 100% according to the formula

$$St=\frac{{\displaystyle \sum _{\mathrm{one}}^n\left(\frac{|\; |\; |A_L^i-A_R^i|\; |\; |}{A_{\max }^i}+\frac{|\; |\; |F_L^i-F_R^i|\; |\; |}{F_{\max }^i}\right)}}{2n}$$

and characterize the psychophysiological state of a living object according to the calculated values of the stress level.

In another embodiment of the method, the technical result is achieved by the fact that in the known method of obtaining information about the psychophysiological state of a living object, including measuring a signal about the microdisplacement of the head of a living object, subsequent processing of the specified signal and obtaining information about the psychophysiological state of the living object based on the results of the processing of the signal of microdisplacement, to obtain information about the level of anxiety of the object, receive the amplitude and / or frequency vibroimage of the head of a living volume KTA, measure the following parameters of the vibroimage of the head of a living object:

Tn - level of anxiety,

P _i (f) is the spectral power of the vibration frequency distribution;

f _max - the maximum frequency in the spectrum of the distribution of the frequency of the vibration image,

calculate the level of anxiety in the range from 0 to 1 or from 0 to 100% according to the formula

$$Tn=\frac{{\displaystyle \sum _{\frac{f\max }{2}}^{f\max }{P}_i\left(f\right)}}{{\displaystyle \sum _{0.1}^{f\max }{P}_i\left(f\right)}}$$

and characterize the psychophysiological state of a living object according to the calculated values of the level of anxiety.

In the next embodiment, to obtain a technical result in a known method of obtaining information about the psychophysiological state of a living object, including measuring a signal about the microdisplacement of the head of a living object, subsequent processing of the specified signal and obtaining information about the psychophysiological state of a living object based on the results of processing the signal of microdisplacement, to obtain information about the level of compatibility of a living object with another object, receive the amplitude and / or frequency vibroimage tins of a living object, determine histograms of the distribution of the frequency of vibrations of each object separately, superimpose separately taken histograms, equalize the area of the resulting joint distribution with the normal distribution law, find the difference between the reduced frequency histogram and the normal distribution law, and determine the compatibility level in the range from 0 to 1 or from 0 to 100% according to the formula

$$C=\frac{{\displaystyle \sum {\left[y\left(x\right)*K-y\text{'}\text{'}\left(x\right)\right]}^2}}{{\displaystyle \sum {\left[y\text{'}\text{'}\left(x\right)\right]}^2}}$$

where K is the normalization coefficient of the resulting joint frequency distribution

$$K=\frac{{\displaystyle \sum y\text{'}\text{'}\left(x\right)}}{{\displaystyle \sum y\left(x\right)}}$$

`y 'is the density of the normal distribution and characterize the psychophysiological compatibility between two living objects according to the calculated values of the compatibility level.

In the next embodiment, to obtain a technical result in a known method of obtaining information about the psychophysiological state of a living object, including measuring a signal about the microdisplacement of the head of a living object, subsequent processing of the specified signal and obtaining information about the psychophysiological state of a living object based on the results of processing the signal of microdisplacement, to obtain information about the level of verbal or non-verbal lies, receive the amplitude and / or frequency vibroimage of a living head about ekta, the following parameters were measured vibraimage head living object:

P _ISM - parameter that has changed over the established limits;

P _c - parameter of the vibration image, measured when determining the level of lies;

K is the coefficient of significance of the measured P _ISM ;

n is the number of measured parameters;

m is the number of changed parameters.

and determine the level of lies L in the range from 0 to 1 or from 0 to 100% according to the formula

$$L=\frac{{\displaystyle \sum _{\mathrm{one}}^m{P}_{\mathrm{and}sm}\ast K}}{{\displaystyle \sum _{\mathrm{one}}^n{P}_{\mathrm{from}}}\ast K}$$

It is known that cybernetics and information theory are considering the possibility of applying technical methods and controls to biological objects and physiological systems. The modern understanding of sensory physiology [9] largely echoes the concepts and definitions of the theory of information and communication signals [10], allowing the possibility of psychophysiological informativeness of mathematical parameters developed in information theory. Long-term observations and studies of the author of micromotion of the human head with the help of statistical parameters used in information theory have shown that there are statistically significant relationships between the psychophysiological state of a person and the information-statistical parameters of micromotion of the head.

The author offers his explanation for this phenomenon and the vestibular-emotional reflex. To begin with, let us determine the relationship between psychophysiological energy regulation (metabolism) [11] and emotional state. Each typical emotional state is characterized by a certain expenditure of energy and its own correlation between physiological energy necessary for the implementation of physiological processes and the emotional energy released as a result of conscious or unconscious processes. For example, the state of aggression, if it is really identical for different people, then its manifestations for these people should be identical, but taking into account natural adjustments for age, gender, upbringing, etc. However, from the point of view of physiology, these differences should not be of fundamental importance in terms of the relative amount and place of energy release in the body. All this leads to the manifestation of visible signs of emotions, for example, redness of the face and rapid breathing and heart rate in a state of rage, the manifestation of certain facial expressions [6]. At the same time, the main cause of the external manifestation of the emotional state is the additional release of energy in the human body, which changes the relationship between physiological and emotional energy. It should be noted that the author takes into account the physicochemical energy of natural physiological processes known at the current level of technological development [11]. The rate of physiological processes, the processes of inhibition and excitation are interrelated for the processes of thinking and movement of a person [1, 4, 12].

The main task of the human vestibular system is to maintain equilibrium or balance, especially mechanical. However, it was proved in [13] that the equilibrium state of quasiclosed systems is possible only in the case of multiple equilibrium, i.e. mechanical, chemical, energy and other for all systems forming this object. Any imbalance in one of these systems leads to an imbalance in the adjacent system, i.e. violation of energy balance causes a violation of mechanical equilibrium.

A human head in a vertical quasi-equilibrium state is an extremely sensitive mechanical indicator of any energy processes occurring in the human body. From the point of view of biomechanics, the vertical equilibrium maintenance and balance of a multi-kilogram head located significantly higher than the center of gravity of an object requires significant and constant efforts and contractions from the muscles of the skeletal part of the neck-head, and these movements are carried out reflexively under the control of the vestibular system. Any new significant phenomenon (emotion) in the human body makes a change in this constant physiological process, similar to changes in other physiological processes traditionally used to analyze psychophysiology, such as RAG, blood pressure and heart rate (HR). Moreover, depending on the amount of energy released and the place of energy release, the parameters of the movement of the head change. The spatial three-dimensional trajectory of the head’s movement is quite complicated, since the shape of the head is only conditionally similar to a sphere, and the trajectories of each point can vary significantly under the control of several hundred cervical muscles. An information-statistical analysis of movement parameters allows one to reliably distinguish the quantitative parameters of head movement, and therefore, measure and identify each emotional state through a change in energy and the reaction of the vestibular system. The laws of mechanics are unambiguous, to maintain equilibrium, action is always equal to counteraction, therefore, energy changes in the body of various people will cause corresponding identical changes in the parameters of head movement due to the work of the vestibular system.

The proposed general classification of emotions depending on the information-statistical parameters of head movement allows you to identify any emotional state, using an independent expert assessment or other psychophysiological methods as a comparison method, since there is currently no single universally accepted approach for measuring emotional states. Modern psychology uses mainly qualitative criteria for assessing emotional states, which, in principle, does not allow the possibility of quantitative measurements and makes it difficult to objectively assess a person’s state. The proposed method allows you to measure any emotional state, since if the change in the parameters of the head movement is functionally related to the change in energy exchange, then, therefore, the parameters of the head movement are a universal characteristic of the psychophysiological state of a person. The accuracy of the correspondence of the proposed formulas for calculating emotional states to the existing evaluation criteria is less significant with respect to the method of evaluating the emotional state through micro-movements of the head, since the current level of technology does not have generally accepted standards for assessing emotional states. The uniqueness of the method lies in a single approach for measuring any emotion, while all the previous methods used different approaches to assess various emotional states. The adoption of the proposed concept for measuring emotional states allows us to transfer psychology to the category of exact sciences and make the measurement of emotions as unambiguous as the measurement of any other physical quantity, for example, current, voltage or distance.

The list of figures drawings.

Figure 1 shows the software window for measuring the emotional state of a person, levels of aggression, stress and anxiety by its amplitude and frequency vibroimage.

Figure 2 shows the software window of lie detection during the survey, showing the change in the parameters of head movement in time and the level of lies during the survey.

Description of preferred embodiments of the invention

The implementation of the invention consists in direct and non-contact observation of micromotion of a person’s head using a television or web camera, converting a television signal into amplitude and frequency vibroimage and determining the emotional state using Vibraimage 7.1 [15] by measuring the average frequency of the amplitude and frequency vibraimage accumulated for various time periods in (0.1-1-10) seconds, reduced to the input frequency of the television camera. Each of these parameters reflects the degree of arousal of a person over a certain period of time and can be used to analyze a person’s response to a question, for example, in lie detection.

Figure 1 shows the interface window of the program Vibraimage 7.1 with measured values of the emotional states of a person, levels of aggression, stress and anxiety according to its amplitude and frequency vibroimage. The example shows the change in the state of the subject during a three-minute survey. The graphs show fairly even values of anxiety, aggression and stress, with the exception of three questions that caused the subject to be clearly perplexed. It should be noted that in the proposed system of measuring emotional states proposed by the author [16], all emotional states vary in the range between 0 and 1, or 0 and 100%. This approach allows you to compare the emotional states of different people, obtained in different conditions, taking into account the limitations detailed in the monograph on vibraimage [3].

n is the number of samples with an interframe difference above the threshold in 50 frames.

An example embodiment of the invention according to the first embodiment consists in obtaining a vibration image and then finding statistically significant information parameters of the vibration image that determine the level of stress of a person, first of all, determining the parameters of vibration symmetry from the amplitude and frequency vibration image.

- суммарная амплитуда виброизображения i-той строки левой части объекта; $${\text{A}}_{\text{L}}^{\text{i}}$$

- the total amplitude of the vibration image of the i-th line of the left side of the object;

- суммарная амплитуда виброизображения i-той строки правой части объекта; $${\text{A}}_{\text{R}}^{\text{i}}$$

- the total amplitude of the vibration image of the i-th line of the right side of the object;

- максимальное значение между $${\text{A}}_{\text{L}}^{\text{i}}$$

и $${\text{A}}_{\text{R}}^{\text{i}}$$

; $${\text{A}}_{\text{max}}^{\text{i}}$$

- maximum value between $${\text{A}}_{\text{L}}^{\text{i}}$$

and $${\text{A}}_{\text{R}}^{\text{i}}$$

;

- максимальная частота виброизображения i-той строки левой части объекта; $${\text{F}}_{\text{L}}^{\text{i}}$$

- the maximum frequency of the vibration image of the i-th line of the left side of the object;

- максимальная частота виброизображения i-той строки правой части объекта; $${\text{F}}_{\text{R}}^{\text{i}}$$

- the maximum frequency of the vibration image of the i-th line of the right side of the object;

- максимальное значение между $${\text{F}}_{\text{L}}^{\text{i}}$$

и $${\text{F}}_{\text{R}}^{\text{i}}$$

; $${\text{F}}_{\text{max}}^{\text{i}}$$

- maximum value between $${\text{F}}_{\text{L}}^{\text{i}}$$

and $${\text{F}}_{\text{R}}^{\text{i}}$$

;

n is the number of rows occupied by the object.

In contrast to the well-known and contradictory existing approaches to determining the level of stress, a new formula was proposed that takes into account, first of all, the asymmetry of the amplitude and frequency of movements for each line of scanning of the human head. Thus, a person with a maximum level of stress is characterized by a maximum asymmetry of vibrations and micromotion for the amplitude and frequency of external vibroimages for 20 seconds of processing (figure 2).

$$St=\frac{{\displaystyle \sum _{\mathrm{one}}^n\left(\frac{|\; |\; |A_L^i-A_R^i|\; |\; |}{A_{\max }^i}+\frac{|\; |\; |F_L^i-F_R^i|\; |\; |}{F_{\max }^i}\right)}}{2n}$$

Similarly to the previous informational-statistical parameter, the proposed formula allows you to measure the level of stress from 0 to 1, with the minimum measured value corresponding to the minimum level of stress, and a person with an increased level of stress has a stress value close to 1.

An example embodiment of the invention according to the second embodiment consists in obtaining a vibroimage and then finding statistically significant information parameters of the vibraimage that determine the level of human anxiety, primarily the construction of the frequency spectrum of high-speed signals of amplitude and frequency vibraimage.

In contrast to the well-known and contradictory existing approaches to determining the level of anxiety, a new formula was proposed that takes into account that the state of increased anxiety is characterized by an increase in the density of the high-frequency spectrum compared to the density of the low-frequency spectrum.

$$Tn=\frac{{\displaystyle \sum _{\frac{f\max }{2}}^{f\max }{P}_i\left(f\right)}}{{\displaystyle \sum _{0.1}^{f\max }{P}_i\left(f\right)}}$$

Where

Tn - level of anxiety,

P _i (f) is the spectral power of the vibration frequency distribution;

f _max - the maximum frequency in the spectrum of the distribution of the frequency of the vibration image,

Similarly to the previous informational and statistical parameter, the proposed formula allows you to measure the level of anxiety from 0 to 1, and the minimum measured value corresponds to the minimum level of anxiety, and a person with a high level of anxiety has a stress value close to 1. The frequency distribution spectrum of fast vibration signals is given for operator control or by a system user in the lower left corner of the interface window on the lower spectrogram.

An example embodiment of the invention according to the following embodiment consists in obtaining a vibroimage and then finding statistically significant information parameters of the vibraimage that determine the level of compatibility between people, primarily the construction of histograms of the frequency vibraimage for each person.

In contrast to the known and contradictory existing approaches to determining the level of compatibility, a new formula was proposed that takes into account that increased compatibility is characterized by the proximity of the correspondence of the total frequency histogram of vibration of both people to the normal distribution law.

$$K=\frac{{\displaystyle \sum y\text{'}\text{'}\left(x\right)}}{{\displaystyle \sum y\left(x\right)}}$$

where K is the normalization coefficient of the initial histogram.

Similarly to the previous parameter, the proposed formula allows you to measure the compatibility level from 0 to 1, and the minimum measured value corresponds to the minimum compatibility level, and a pair with an increased compatibility level has a measured value close to 1.

An example embodiment of the invention according to the following embodiment consists in obtaining a vibration image and then finding statistically significant information parameters of the vibration image determining the level of a person’s lie, first of all, obtaining time dependences of the maximum number of vibration image parameters with a minimum degree of correlation between each other. Figure 2 shows the time dependences of several of the most significant parameters, reflecting the degree of human excitation, for various accumulation times of 0.1-1-10 seconds [15]. A verbal falsehood was determined during an approximately three-minute survey, the vertical green line in the graphs indicates the beginning of the question asked, and the vertical red indicates the end of the answer. From Figure 2 it follows that during the survey, the lie was registered once, which shows the bottom of the graphs.

In contrast to the well-known and contradictory existing approaches to determining the level of compatibility, a new formula was proposed that takes into account that an increase in the level of lies is determined by a significant change in the measured values of the vibration image parameters compared to the reporting time period. Moreover, the proposed formula allows you to determine both verbal and non-verbal lies. When determining verbal lies as a reporting period, the period of time until the response of the person under investigation is used, and in the case of analyzing non-verbal lies, the parameters during one time period (reporting) are compared with the parameters during another time period (investigated).

The calculation of the level of lies L is carried out according to the formula

$$L=\frac{{\displaystyle \sum _{\mathrm{one}}^m{P}_{\mathrm{and}sm}\ast K}}{{\displaystyle \sum _{\mathrm{one}}^n{P}_{\mathrm{from}}}\ast K}$$

Where

P _ISM - parameter that has changed over the established limits;

P _c - parameter of the vibration image, measured when determining the level of lies;

K is the coefficient of significance of the measured P _ISM ;

n is the number of measured parameters;

m is the number of changed parameters.

Similarly to the previous parameter given, the proposed formula allows you to measure the level of lies from 0 to 1, with the minimum level of lie corresponds to the minimum measured value, and the maximum level of lies can have a measured value close to 1.

Independent practical tests of the developed system and quantitative assessment of the psycho-emotional state of passengers at airports in terms of level, stress, anxiety and potential danger showed good agreement (at least 90%) with the expert assessment of experts, which confirms the practical feasibility of the invention.

Literature

1. N.A. Bernstein. Physiology of movements and activity. M .: Nauka, 1990.

2. E. Mira-i-Lopez. Graphic methodology of personality research. St. Petersburg: Speech, 2002.

3. V.A. Minkin. Vibroimage. St. Petersburg: Renome, 2007.

4. V.A. Minkin, N.N. Nikolaenko. Application of Vibraimage Technology and System for Analysis of Motor Activity and Study of Functional State of the Human Body, Biomedical Engineering, Vol.42, No.4, 2008, pp.196-200. 2008 Springer Science + Business Media, Inc.

5. V.A. Minkin, A.I. Stam. RU 2187904. Image conversion method.

6. Paul Ekman. The psychology of lies. Ed. Peter, 2003.

7. A.J. Fridlund, Human facial expression. An evolutionary view. San Diego, CA, Academic Press

8. The prototype. V.A. Minkin, A.I. Stam. RU 2289310. A method of obtaining information about the psychophysiological state of a living object.

9. Tamar G. Fundamentals of sensory physiology. M., 1976.520 s.

10. Claude, E. Shannon: A Mathematical Theory of Communication, Bell System Technical Journal, Vol. 27, pp. 379-423, 623-656, 1948.

11. Human physiology, ed. V.M. Pokrovsky and G.F. Korotko, Moscow, Medicine, 1997.

12. V.A. Minkin, N.N. Nikolaenko. Investigation of the dependence of the psychophysiological characteristics of a person on the inhibition of the vestibular system by the method of vibroimage. Krasnodar: Kuban Scientific Medical Bulletin, No. 4, 2007.

13. Gladyshev G.P. “Thermodynamics and macrokinetics of natural hierarchical processes”, Moscow: Nauka, 1988, 288 pp.

14. Kazamarov Alexander Alexandrovich, Lukantsev Victor Nikiforovich, RU 2321813, Helmet-based target designation, aiming and indication system.

15. The system for monitoring the psycho-emotional state of a person. Technical description. Vibraimage version 7.1 Elsis Publications, 06.2009 www.elsys.ru

16. V.A. Minkin, N.N. Anisimova. Video information as the basis of the general theory of emotions. Proceedings of the 17th International Scientific and Technical Conference "Modern Television", Moscow, 2009.

Claims (4)

1. A method of obtaining information about the psychophysiological state of a living object, including measuring a signal about the microdisplacement of the head of a living object, subsequent processing of the specified signal and obtaining information about the psychophysiological state of a living object based on the results of the processing of the signal about microdisplacement, characterized in that the amplitude is obtained to determine the level of stress and / or frequency vibroimage of the head of a living object and measure the following parameters of vibroimage of the head of a living object:
$$A_L^i$$

- the total amplitude of the vibration image of the i-th line of the left side of the object;
$$A_R^i$$

- the total amplitude of the vibration image of the i-th line of the right side of the object;
$$A_{\max }^i$$

- maximum value between $$A_L^i$$

and $$A_R^i$$

;
$$F_L^i$$

- the maximum frequency of the vibration image of the i-th line of the left side of the object;
$$F_R^i$$

- the maximum vibration frequency of the i-th line of the right side of the object;
$$F_{\max }^i$$

- maximum value between $$F_L^i$$

and $$F_R^i$$

;
n is the number of rows occupied by the object,
calculate the stress level (St) in the range from 0 to 1 or from 0 to 100% according to the formula
$$St=\frac{{\displaystyle \sum _{\mathrm{one}}^n\left(\frac{|\; |\; |A_L^i-A_R^i|\; |\; |}{A_{\max }^i}+\frac{|\; |\; |F_L^i-F_R^i|\; |\; |}{F_{\max }^i}\right)}}{2n}$$

and characterize the psychophysiological state of a living object according to the calculated values of the stress level. 2. A method of obtaining information about the psychophysiological state of a living object, including measuring a signal about the microdisplacement of the head of a living object, subsequent processing of the specified signal and obtaining information about the psychophysiological state of a living object based on the results of processing the signal about the microdisplacement, characterized in that to obtain information about the level of anxiety the object receive the amplitude and / or frequency vibroimage of the head of a living object, measure the following parameters of the vibraimage of the head ivogo object:
Tn - level of anxiety,
P _i (f) is the spectral power of the vibration frequency distribution;
f _max - the maximum frequency in the spectrum of the distribution of the frequency of the vibration image,
calculate the level of anxiety in the range from 0 to 1 or from 0 to 100% according to the formula
$$Tn=\frac{{\displaystyle \sum _{\frac{f\max }{2}}^{f\max }{P}_i\left(f\right)}}{{\displaystyle \sum _{0.1}^{f\max }{P}_i\left(f\right)}}$$

and characterize the psychophysiological state of a living object according to the calculated values of the level of anxiety. 3. A method of obtaining information about the psychophysiological state of a living object, including measuring a signal about the microdisplacement of the head of a living object, subsequent processing of the specified signal and obtaining information about the psychophysiological state of a living object based on the results of processing the signal of microdisplacement, characterized in that to obtain information about the compatibility level living object with another object receive the amplitude and / or frequency vibroimage of the head of a living object, determine the histograms of distribution determining the vibration frequency of each object separately, superimpose separately taken histograms, equalize the area of the resulting joint distribution with the normal distribution law, find the difference between the reduced frequency histogram and the normal distribution law, and determine the compatibility level in the range from 0 to 1 or from 0 to 100% according to the formula:
$$C=\frac{{\displaystyle \sum {\left[y\left(x\right)\cdot K-y\text{'}\text{'}\left(x\right)\right]}^2}}{{\displaystyle \sum {\left[y\text{'}\text{'}\left(x\right)\right]}^2}},$$

where K is the normalization coefficient of the resulting joint frequency distribution
$$K=\frac{{\displaystyle \sum y\text{'}\text{'}\left(x\right)}}{{\displaystyle \sum y\left(x\right)}}$$

y 'is the density of the normal distribution
and characterize the psychophysiological compatibility between two living objects according to the calculated values of the compatibility level. 4. A method of obtaining information about the psychophysiological state of a living object, including measuring a signal about the microdisplacement of the head of a living object, subsequent processing of the specified signal and obtaining information about the psychophysiological state of a living object based on the results of processing the signal about microdisplacement, characterized in that to obtain information about the level of verbal or non-verbal lies receive the amplitude and / or frequency vibrational image of the head of a living object, measure the following parameters of the vibrational image Nia living object head:
R _ISM - parameter that has changed over the established limits;
P _with - parameter vibroimage measured when determining the level of lies;
K is the coefficient of significance of the measured P _meas. ;
n is the number of measured parameters;
m - the number of changed parameters, and determine the level of lies L in the range from 0 to 1 or from 0 to 100% according to the formula
$$L=\frac{{\displaystyle \sum _{\mathrm{one}}^m{P}_{\mathrm{and}sm}\cdot K}}{{\displaystyle \sum _{\mathrm{one}}^n{P}_{\mathrm{from}}}\cdot K}.$$

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