WO2014168354A1 - Procédé de détection de signal physiologique se basant sur des images en mouvement et dispositif associé - Google Patents

Procédé de détection de signal physiologique se basant sur des images en mouvement et dispositif associé Download PDF

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Publication number
WO2014168354A1
WO2014168354A1 PCT/KR2014/002322 KR2014002322W WO2014168354A1 WO 2014168354 A1 WO2014168354 A1 WO 2014168354A1 KR 2014002322 W KR2014002322 W KR 2014002322W WO 2014168354 A1 WO2014168354 A1 WO 2014168354A1
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image
vibration
subject
biosignal
frequency
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PCT/KR2014/002322
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English (en)
Korean (ko)
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최진관
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Choi Jin Kwan
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    • 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
    • A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1101—Detecting tremor
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1126—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique
    • A61B5/1128—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique using image analysis

Definitions

  • the present invention relates to a method for acquiring a biosignal used in biometrics, electronics, medicine, and the like, and an apparatus for applying the same. Specifically, a method for acquiring a physiological signal using a video obtained from a living body and its application It relates to a device to.
  • the most widely known system also known as a "lie detector,” is obtained through various channels to measure changes in psychophysiological (mental body) parameters when the body responds to certain external stimuli, especially horse stimuli. Using physiological information. Analyzing the condition of the human body in the above manner generally takes several hours, requires the sensor to be firmly attached to the subject's body and requires the participation of trained test personnel. Therefore, there are many practical limitations in using the above system extensively to make psychophysiological diagnosis of the human body.
  • the test subject does not notice, the user does not try to hide his or her condition, and thus the state of the human body can be controlled by using a non-contact sensor for knowing the state of the human body. As a result, additional problems and errors in the analysis and diagnosis of the human condition can be avoided.
  • This method converts an object into an image, and projects the image of the object, converts the image of the object into an electrical signal that is a series of images, measures the difference between the images in the consecutive images, and obtains the information between the images to obtain the information of the object. Iii) accumulate and use differences.
  • Such a contactless device provides information on the psychophysiological state of the human body in a contactless manner in real time without being noticed by the subject (human).
  • the information obtained does not always accurately reflect the change in state.
  • this relates to the difference between the accumulated images does not always accurately reflect the difference between changes in the position of the object. In other words, it is difficult to analyze an object with a small change of position in space, thereby reducing the accuracy and reliability of measuring the psychophysiological parameters of the object.
  • the present invention provides a method for measuring psychophysiological parameters of a subject having high reliability based on video and a device using the same.
  • the present invention provides a method for measuring a highly reliable psychophysiological signal from a subject or a video obtained from a subject, and a device for applying the same.
  • the present invention provides a method for quantifying a biosignal and visualizing it using psychophysiological parameters obtained based on a video, and a device for applying the same.
  • the method may further include generating and visualizing a corresponding image of the physiological signal of the subject using the physiological signal.
  • a photodetector for continuously capturing the image of the A, an A / D converter for converting the captured image into image data, and measuring the vibration parameter by analyzing the converted continuous image data, based on the measured vibration parameter.
  • a display unit for displaying the generated biosignal image and a processor for generating a biosignal image.
  • a portable device having a camera capable of easily detecting or recognizing a psychophysiological state of a human body by imaging a psychophysiological response parameter of the human body may be provided.
  • a device for obtaining biosignal information on a human body may be widely used in psychiatry by measuring a physiological state of a human body in a non-contact manner.
  • Portable devices using this method and device can also be used to measure, analyze, and manage human health by influencing humans using a number of factors.
  • FIG. 1 is a flowchart illustrating a method of acquiring a biosignal according to an exemplary embodiment.
  • FIG. 2 is a schematic block diagram functionally classifying electronic devices implementing the method shown in FIG.
  • FIG. 3A is a block diagram of an electronic device implementing the method illustrated in FIG. 1.
  • FIG. 3B is a block diagram showing correlations between components in the electronic device shown in FIG. 3.
  • FIG. 4 is a flowchart illustrating a method of acquiring a biosignal according to another exemplary embodiment of the present invention.
  • FIG. 5A illustrates the emission of bioenergy (aura) around a subject's human body image formed by the amplitude component of the vibration image.
  • 5B shows bioenergetics radiated around the actual image of the human body.
  • FIG. 6A and 6B show the biological image radiation according to the state of the subject, and FIG. 6A shows a stable state and FIG. 6B shows an unstable stress state.
  • 7A is a distribution graph of frequency components (biosignal images) of a human body vibration image in a stable state.
  • FIG. 7B is a distribution graph of the frequency components (biosignal images) of the human body vibration image under stress.
  • FIG. 8A is a radial graph (chart) showing the emotional state of a subject according to the method of the present invention
  • FIG. 8B shows a result display screen on a smartphone, which is a kind of portable device implemented by the present invention.
  • the present invention captures images that continuously change by photographing a living body, for example, a subject undergoing psychophysiological changes (11), and processes (analyzes) each image to generate vibration parameters. (12) and extract the physiological signal using the parameter (13).
  • the physiological signals thus obtained are used for various purposes (14), in which the emotional state of the subject is evaluated and presented in the form of a text or an image, or various kinds of image contents are presented to the subject in response to the physiological signals. can do.
  • This method may be implemented by a device having a structure as shown in FIG. 2.
  • 2 is a functional block diagram of a physiological signal detection apparatus. Referring to FIG.
  • the physiological signal detecting apparatus includes a camera 21 for photographing a subject (or a subject 1), an image processor 22 for analyzing an image obtained from the camera 21, and an image processor.
  • the image processor 22 and the application unit 24 as described above are implemented by an application program based on a central processing unit (CPU) or an application processor (AP). This technical scope of the present invention is not limited to the type of application, and therefore, it is obvious that it includes any application using vibration parameters.
  • the frequency components of the biosignal images obtained have the most information on the bioenergy, or psychophysiological characteristics, of the observed organisms.
  • Analysis of the obtained biosignal image may be performed by a person or mathematically by processing at least one of the obtained digital biosignal image and its components by a program. In order to prepare and analyze algorithms for mathematical processing, it is good to make a biosignal image which is convenient for visual analysis such as pseudo-color image of monitor screen.
  • the frequency component of the biosignal image to be obtained allows to continuously and clearly specify the levels of psychophysiological and emotional states of the human body and to distinguish the changes in the human state when various stimuli occur in humans. do.
  • an image showing the human body's bioenergy field represented by an aura located around the human body can be used to evaluate the psychophysiological state of the human body faster and more accurately than other methods.
  • aura refers to an integral characteristic of the psychophysiological state of the human body. These auras appear around the human body and have specific relationships with the bioenergy components of the human body. The image of the human aura provides a lot of information when studying the psychophysiological parameters of the human body, and the following factors are considered. Human emotional state can literally change every second. The average person can not stay in one emotional state for a long time.
  • the topological relationship between the elements of the biosignal image and the elements of the real image is less effective than the frequency components of the vibration image represented by the aura located around the real image.
  • the elements of the biosignal image are topologically related to the elements of the actual image, the elements with the maximum vibration frequency are not visible in the entire background when the image is subjected to color-frequency adjustment.
  • the biosignal image to be obtained must be visually controlled in advance.
  • the proposed image of the frequency component of the biosignal image, in the form of an aura is consistent with the physical concept of bioenergy radiation and enables visual control and analysis of the device-generated image.
  • the use of amplitude components is more effective in topological relationships.
  • the amplitude component of the biosignal image which is topologically connected to the vibration point, can be used to evaluate the quality of the biosignal image obtained and to determine the exact parameters for tuning the system.
  • Acquiring information about the level of aggression of a creature consists of constructing a frequency distribution histogram and measuring the head vibration image parameters of the creature.
  • Aggregation of Aggression Levels consists of:
  • Fm maximum frequency of frequency distribution density in the histogram
  • n Aggregate amount including interframe differences over the limit in N frames
  • the biological head vibration image parameter is measured to obtain information about the stress level of the creature.
  • the stress level St is calculated by the following Equation 2.
  • n number of columns
  • Anxiety level (Tn) is measured by the following Eq.
  • the compatibility level (C) is counted as the following ⁇ Equation 4>.
  • vibration image parameters of the head of the organism are measured to obtain information about the integrated level of change in the psychophysiological state.
  • n number of parameters measured
  • cybernetics and information theory examines the applicability of operational methods and techniques to organisms and living systems.
  • Modern concepts of cognitive biology are usually related to the concepts and definitions of signal information and transfer theory, and enable the psychophysiological information of mathematical parameters established in information theory.
  • the author's long study and observation of the study of human head micromovement with the help of statistical parameters used in information theory shows that there is a statistically reliable dependence between the state of human psychophysiology and the head micromovement information statistics parameter.
  • the human head in a vertical, semi-balanced state can be seen as an overly sensitive mechanical indicator of all the energy processes in the body. From a biomechanical point of view, maintaining the vertical balance and equilibrium of the heads far above the center of gravity requires tremendous continuous effort and reduction of the neck-head bone muscles. Moreover, this movement is realized reflexively under vestibular system. All meaningful phenomena in the organs lead to changes in the ongoing physiological process. This is similar to other physiological process changes traditionally used for psychophysiological analysis, such as galvanic skin response (GSR), arterial pressure, and heart rate.
  • GSR galvanic skin response
  • the parameters of head movement vary with the amount of energy expression and the location of energy expression.
  • the spatial three-dimensional trajectory of head movements is very complicated because the shape of the head resembles a sphere.
  • the movement trajectory of each point can vary significantly in the movement of hundreds of neck muscles.
  • Statistical analysis of informative motion parameters enables reliable quantitative parameter differentiation of head movements. In other words, it is possible to measure and confirm the emotional state through the measurement of energy and vestibular response.
  • the laws of mechanics appear to be consistent, and behavior is always reactionary to maintain equality. Energy measurements in the body organs that naturally target a wide variety of people will result in consistent corresponding changes in head movement parameters through vestibular activity.
  • the overall emotional classification according to the informational / statistical parameters of the presented head movements confirms all emotional states.
  • Modern psychology mainly uses qualitative criteria in the evaluation of emotional state, which essentially makes it impossible to measure quantitatively, and the objective evaluation of human state is difficult.
  • the suggested method allows us to measure all emotional states.
  • head movement parameters are a general characteristic psychophysiological state of man.
  • the accuracy of agreement of the proposed formulas for counting emotional states according to existing assessment criteria is low compared to the emotional state assessment method through head micromovement.
  • the proposed method is characteristic in that an integrated approach is possible for all emotion measurements. All previous methods were also used to assess various emotional states. Adopting the proposed concept for measuring emotional state allows the inclusion of psychology in precision science and enables the same emotional measurement.
  • the movement speed of the head of the creature is measured as the average frequency of marker movement, determined in units of 10 seconds, which yields the maximum frequency of TV camera work.
  • the vibration image simultaneously represents the spatial and temporal distribution of the target motion energy
  • the number of factors having the same vibration frequency for a specific time is aggregated to obtain a frequency histogram. Histograms therefore exclude information about the spatial distribution of vibration frequencies. This apparent loss of spatial information actually increases the motion information, because in terms of physiological energy, it is not very important in which part of the head the movement is performed unlike the fine movement of the face.
  • the configuration of the frequency histogram is determined according to the following.
  • n Aggregate number of interframe differences higher than the threshold at 50 frames
  • Vibration Image 7.3 The left corner of the program (average histogram) continues to display the aggressor level calculated according to the frequency histogram and the formula presented for the operator's visual control.
  • the next step is to statistically identify meaningful vibration image information parameters that determine vibration image acquisition and subsequent aggression levels. This determines, among other things, vibration symmetry parameters for amplitude and frequency vibration images.
  • n number of columns occupied by the target
  • the formula presented allows us to measure the stress level (St) from 0 to 1, and above all, the minimum stress level corresponds to the minimum measurement, In people with stress levels close to one.
  • the following is a statistical analysis of meaningful vibration image information parameters that determine vibration image acquisition and subsequent anxiety levels. This relates, among other things, to the fast activity signal frequency spectrum construction of amplitude and frequency vibration images.
  • the presented formula allows us to measure the level of anxiety from 0 to 1.
  • the minimum level of anxiety meets the minimum measure, and those with high levels of anxiety have stress levels close to one.
  • the fast signal frequency spread spectrum of the vibration image appears for the operator's or system operator's control.
  • Another example is to find statistically meaningful informative parameters of the vibration image that determine the vibration image acquisition and then the level of compatibility between the people. Best of all, this consists of a vibration image histogram configuration at each individual frequency.
  • the proposed formula measures the level of compatibility from 0 to 1.
  • the minimum measure corresponds to the minimum compatibility (compatibility), and the high level of compatibility measure on both sides appears close to one.
  • the integrated level of change (L) of the psychophysiological state used in the false decision is calculated by the formula:
  • n Number of measurement parameters (may vary from the number of visual parameters)
  • the formula presented allows us to measure false levels from 0 to 1.
  • the minimum level of false matches the minimum measure, while the highest level of false has a measure close to one.
  • the present invention is utilized solely for the measurement of emotional and psychophysiological states of humans presented above.
  • the present invention allows us to describe all human conditions through the head micromovement parameters and / or the head vibration image parameters.
  • psychology it is an unclear principle to translate the traditional concept of motion into reflex micromovement of the human head using reliable statistical parameters.
  • thermodynamic entropy (S) calculation follows the following formula.
  • thermodynamic entropy is a state of anxiety in humans. It was found that there is a big connection with.
  • the human energy (E) can be known based on the difference between the mean square error and the maximum frequency.
  • the device shown in FIG. 2 that is functionally blocked can perform the method of the present invention as described above.
  • the camera 21 includes an imaging device such as a CCD or a CMOS and an A / D converter for digitizing an analog signal therefrom, and the image processor 22 includes an encoder for generating a moving picture of a specific format.
  • the signal analyzer 23 measures the vibration parameter by the method described above using the image, and generates or extracts psychophysiological information (signal or physiological signal) from the vibration parameter.
  • the vibration parameters include vibration frequency, amplitude, and phase according to the change of position of each part of the subject.
  • the psychophysiological information may include a psychological / emotional / emotional state such as a stable state, an excited state, and a stress state.
  • the physiological signal application unit 14 may include a physiological signal processing algorithm for evaluating the mental and emotional state of the subject using the physiological signal and a display for displaying the result.
  • the physiological signal processing algorithm may classify the subject's states into nine emotional states according to, for example, James Russell's two-dimensional emotional model.
  • the display provided in the application unit 24 displays the final result in the form of a text or an image as described above.
  • Such a device may be implemented through various types of systems.
  • a personal computer equipped with a camera a portable terminal with a built-in camera, for example, a tablet PC based on a system such as Windows mobile, Android, iOS, Symbian, BlackBerry, Bada, tablet pad, PDA, smartphone
  • OS-based digital cameras capable of executing internal applications are typical examples.
  • FIG. 3A is a hardware representation of the apparatus shown in FIG.
  • the physiological signal detecting apparatus 30 includes an image capturing unit having an image capturing element, that is, an A / D converter 32 for digitizing analog video signals from the camera 31 and the camera 31. And a processor 34 for performing image analysis, parameter extraction and physiological signal generation, and a display unit 35 for displaying the result.
  • the apparatus includes an input device for inputting information from the outside, for example, a key input unit 36 such as a keypad and the like, and a storage unit 33 including a memory used in the above-described image signal processing.
  • FIG. 3B is a block diagram illustrating a schematic configuration of a smartphone capable of implementing the device of FIG. 2 and illustrating an interaction relationship between the components.
  • reference numeral 1 is an electronic block including a wireless signal receiver, a transmitter, and an audio / video-signal and a signal-audio / video converter.
  • Reference numeral 42 denotes a digital camera that acquires an image from a subject (subject or subject) and includes an image pickup device, an objective lens, and the like.
  • Reference numeral 43 is a storage unit having a memory for storing the digital image, which is necessary for the operation of the entire smartphone.
  • Reference numeral 44 is a display device for visualizing the user interface and processing results in the form of text and images.
  • Reference numeral 45 is a processor that controls the electronic block, the digital camera, the storage unit, the display device, and the like and synchronizes each function.
  • reference numeral 46 denotes a main body including a keypad for power input and user input required for driving the entire system.
  • FIG. 4 is a flowchart illustrating a process of acquiring a biological signal through a camera based on a video according to the present invention, and this process may be the smart phone of FIG. 3A, specifically, FIG. 3B.
  • an image of a subject is acquired by a camera 31 and converted into an analog electrical signal (S10 and S20).
  • the electrical signal obtained from the subject's image is an analog signal and is therefore converted into digital image data by the A / D converter 32 (S30).
  • the processor 34 calculates a vibration parameter by analyzing the change over time of each image data (S40).
  • the vibration parameter includes at least one of a vibration frequency, an amplitude, and a phase according to a change in position of each part of the subject. That is, the processor 34 analyzes the position change of each part of the subject to calculate the vibration frequency, the magnitude of the position change (the magnitude of vibration), the phase, and the like of each part. Subsequently, the processor 34 may analyze the difference between the images using a vibration image analysis program, measure a position change with respect to the center of gravity, or calculate (calculate) a vibration parameter (parameter) using a Fourier transform.
  • the vibration parameter calculation is described in more detail as follows.
  • the processor 34 grasps the motion or vibration of the contour according to the subject's movement from a plurality of successive images and separates the contour into two equal parts (left and right). Then, determine the point indicated by the maximum vibration frequency in two parts of the row divided in half. This frequency determines the color of the corresponding horizontal row of the biosignal image.
  • the average amplitude of the positional variation in each of the two sections of the row divided in half located on the separate contour section determines the size (length) of the biosignal image.
  • Vibration images obtained at each point have certain positive and static characteristics, but integrated biosignal images are associated with the psychophysiological parameters of the human body. This is the case in which the portable device with the camera is fixed to a non-moving support and is not affected by vibration from the outside.
  • the handheld device when vibration or movement by the user occurs, it is preferable to go through the process of removing (filtering) the natural vibration component transmitted from the subject's hand.
  • filtering may include some or all of the vibration components from the subject acting as noise as well as the subject's hand.
  • the processor 34 generates a biosignal image based on the calculated vibration parameter (S50).
  • the biosignal image may include an amplitude component and a frequency component.
  • the amplitude component is referred to as “internal biosignal image” and the frequency component is referred to as “external biosignal image”.
  • the concept of this term definition will be understood in the description of FIG. 5 below.
  • the processor 34 obtains psychophysiological information of the subject 1 from the calculated vibration parameter (S60). That is, the processor 34 may know the psychological state of the object 20 by analyzing the vibration parameter.
  • FIG. 5A illustrates that aura, a bioenergy, is radiated around an image of a human body formed of an amplitude component of a vibration image.
  • the internal biosignal image expresses the magnitude of the change in position of each part in color. Through this it is possible to visualize the magnitude of the position change of each part of the subject (1).
  • the external biosignal image appears around the internal biosignal image and modulates the average peak vibration frequency into color.
  • FIG. 5B shows that a biosignal image, which is bioenergy, is radiated around an actual image of the human body.
  • the internal biosignal image is not represented and only the biosignal image is displayed around the actual image.
  • FIG. 6A and 6B show biosignal images in a stable state and an unstable state, respectively.
  • FIG. 6A shows a biosignal image of a subject in a stable or finished state and FIG. 6B in a stress state.
  • the biosignal image is sufficiently symmetrical in shape and color, and the color of the biosignal image is about halfway between the selected color scale (overall color-green). It can be seen from the biosignal image that the subject is in a stable state.
  • the aura contains a lot of red components in the biosignal image. Therefore, it can be seen that the subject in this state is in an unstable state.
  • the subject When a person is stimulated, for example, exposed to a violent scene through the screen, the subject becomes stressed or aggressive and the color of the biosignal image changes to a reddish color.
  • FIG. 7A is a distribution graph of frequency components (biological signal images) of a human body vibration image in a stable state
  • FIG. 7B is a distribution graph of frequency components (biological signal images) of a human body vibration image in a stress state.
  • the graph shown in FIG. 6A shows a typical frequency distribution of a person in normal working condition.
  • the results show that the majority of people in a calm state generally have a distribution of distributions similar to a single-mode distribution rule.
  • the state of the subject changes as shown in FIG. 6B.
  • the mean (medium) value of the frequency distribution (M) shifts towards increasing.
  • the mean (middle) value of the frequency distribution value (M) is shifted toward decreasing.
  • the frequency axis (X) can be expressed not only in relative units, but also in real units or time (Hz or sec.). The distance between the readings is determined by the actual parameters of the camera's rapid processing and the settings of the software (time to accumulate images and the number of images in the processing sequence).
  • FIG. 8A is a radial graph (chart) showing the emotional state of a subject according to the method of the present invention
  • FIG. 8B shows a result display screen on a smartphone implemented by the present invention.
  • photographing a subject with a smartphone it is necessary to position it at a certain distance from the smartphone (camera) and to make the actual image of the subject large enough on the screen.
  • a smart phone that performs the above functions has a structure as shown in FIG. 9 as is well known, and the method of the present invention is executed after being installed in an application form, and the application is various as described above. It involves a variety of processes, including functions represented by expressions.

Abstract

La présente invention concerne un procédé et un dispositif destinés à mesurer de manière fiable et précise des paramètres psychophysiologiques chez des sujets. Le procédé de mesure comprend les étapes consistant à : acquérir des images en mouvement de sujets passant un test psychophysiologique par l'intermédiaire d'images en mouvement ; mesurer les paramètres vibratoires des sujets passant le test à partir des images en mouvement ; générer des images de signaux biologiques en se basant sur les paramètres vibratoires ; et générer les paramètres des réactions psychophysiologiques des sujets passant le test en traitant les images de signaux biologiques.
PCT/KR2014/002322 2013-04-11 2014-03-20 Procédé de détection de signal physiologique se basant sur des images en mouvement et dispositif associé WO2014168354A1 (fr)

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