Block chain assisted personnel negative emotion comprehensive evaluation method

Abstract

The invention discloses a block chain assisted personnel negative emotion comprehensive assessment method, which comprises an identification system, an analysis system and a storage system, the identification system comprises an image display system and a digital camera, and the analysis system captures human head micro-motion through the identification system, performs unconscious reaction analysis and obtains a result. And the storage system adopts block chain storage. Compared with the prior art, the method has the advantages that the method is based on exercise psychophysiology, real-time analysis can be carried out through offline video import analysis and online camera acquisition, and parameters such as aggressiveness, pressure and tension of a tested person are calculated according to the frequency and amplitude of muscle vibration of the head, the face and the like; different color bars are used for visualizing and digitizing emotional states, and when the emotional states exceed a threshold value set in advance, a system can perform screenshot and alarm prompt, so that abnormal emotions can be quickly and effectively monitored, and early warning is performed in advance to reduce negative effects caused by the abnormal emotions.

Description

Technical Field

[0001] The present invention relates to the field of emotion recognition technology, and in particular to a blockchain-assisted comprehensive evaluation method for negative emotions of personnel. Background Art

[0002] Face recognition can identify identity through facial feature information, and can also identify the subject's current emotion based on facial feature information. Facial emotion recognition can be used in criminal investigation and other fields. The existing facial emotion recognition method relies on feature information of significant facial changes to make judgments. However, when the subject deliberately conceals his emotions, obvious facial feature changes do not necessarily reflect real emotional changes. That is, the existing technology can only detect negative emotions of personnel for personnel with large emotional fluctuations. However, for hospitals, supervision places, high-pressure and fatigue-prone industries, there will not be much facial expression or movement before accidents, conflicts, and fatigue, so it is impossible to provide negative emotions of personnel in a timely and accurate manner. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a blockchain-assisted comprehensive evaluation method for negative emotions of personnel in response to the deficiencies raised in the above-mentioned background technology.

[0004] A blockchain-assisted comprehensive evaluation method for negative emotions of personnel, comprising an identification system, an analysis system and a storage system. The identification system is an image display system and a digital camera. The analysis system captures micro-movements of the human head, analyzes unconscious reactions and obtains results through the identification system. The storage system adopts blockchain storage.

[0005] Step 1: Capture micro-movements of the human head through a digital camera and an image display system;

[0006] Step 2: Analyze the maximum information content of the micro-movement of the human head with the assistance of the image display system. Use the vibration image technology to capture the micro-movement of the human head. Use the information state and energy state as the general characteristics of the psychological and physiological state to analyze the unconscious reaction. The specific analysis method is as follows:

[0007] Method 1: Analysis of internal head vibration images, by analyzing the differences in the amplitude and frequency values ​​of the human head vibration at each spatial point, and displaying them in a pseudo-color image, each point (pixel) amplitude vibration image reflects the relative movement of an element in the image, which is saved in a known and determined time, that is, at small movements, the frame difference is proportional to the movement of the object. For this transformation of relative absolute movement, precise information is required, namely the distance of the object and the working angle of the chamber target, and then color scale is performed, scaled by millimeters or microns.

[0008] Method 2: Frequency-amplitude analysis of the head's exterior. The maximum frequency and average amplitude vibration images around the head are displayed with a halo through an image display system, which follows the same color scale, color-coded by the vibration image, and displays the maximum frequency in each line. The size of the halo is defined by the average amplitude of a given line. Any color unevenness and the size of the halo are characteristic of the object's movement and its emotional state.

[0009] Step 3: Get the target state through step 2.

[0010] Furthermore, the image display system has a resolution of not less than 400 TVL, a noise level of a vibration image of less than 0.1 bit, a frame rate of not less than 25 frames per second, and a frequency range greater than 0.1 divided by 10 Hz.

[0011] Furthermore, the digital camera has a sensor of CD or CMOS, a resolution of not less than 640x480 pixels, USB compatibility with USB3.0, USB2.0 and IP, a frame rate of not less than 25f / s, a color mode of color and B / W switch, and a flashing mode of 50 Hz and 60 Hz.

[0012] Furthermore, any aura asymmetry (form, color) in method 2 is a characteristic of deviation from psychological or physiological norms, irregularities in the color of the vibrating ear are a characteristic of a person's psychological and physiological imbalance, and any breaks in the uniformity of the aura are a characteristic of deviation from psychological or physiological norms. The ideal aura is monochromatic, symmetrical, and uniform. Any real aura differs from the ideal, and the problem of interpretation is to characterize real aura deviations.

[0013] Furthermore, the blockchain storage adopts distributed data storage, peer-to-peer transmission, consensus mechanism, and encryption algorithm to store information in blockchain nodes.

[0014] In order to solve the above technical problems, the technical solution provided by the present invention is:

[0015] After adopting the above structure, the present invention has the following advantages: the method is based on sports psychophysiology, and can perform real-time analysis through offline video import analysis and online camera acquisition. According to the frequency and amplitude of muscle vibrations of the head, face, etc., the aggressiveness, stress, tension and other parameters of the person being tested are calculated, and the emotional state is visualized and digitized with different color bars. When the threshold set in advance is exceeded, the system will take a screenshot and issue an alarm. It can quickly and effectively monitor abnormal emotions, and give early warning to reduce the negative impact of abnormal emotions. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a color recognition diagram of a blockchain-assisted comprehensive evaluation method of negative emotions of personnel.

[0017] Figure 2 The invention discloses a blockchain-assisted comprehensive evaluation method for negative emotions of personnel, method 1, and an amplitude implementation scheme of the method.

[0018] Figure 3 The present invention is a block chain-assisted comprehensive evaluation method for negative emotions of personnel, method 1, and a schematic diagram of a frequency implementation scheme structure.

[0019] Figure 4 The present invention is a schematic structural diagram of a second embodiment of a method for comprehensively evaluating negative emotions of personnel assisted by a blockchain.

[0020] Figure 5 The present invention is a schematic diagram of the identification structure combining methods one and two of a blockchain-assisted comprehensive evaluation method for negative emotions of personnel. DETAILED DESCRIPTION

[0021] The present invention is further described in detail below in conjunction with the accompanying drawings.

[0022] Combined with Figure 1 A blockchain-assisted comprehensive evaluation method for negative emotions of personnel includes a recognition system, an analysis system and a storage system. The recognition system is an image display system and a digital camera. The analysis system captures micro-movements of the human head, analyzes unconscious reactions and obtains results through the recognition system. The storage system uses blockchain storage.

[0023] The image display system has a resolution of not less than 400 TVL, a noise level of a vibration image of less than 0.1 bit, a frame rate of not less than 25 frames per second, and a frequency range greater than 0.1 divided by 10 Hz.

[0024] The digital camera has a sensor of CD or CMOS, a resolution of not less than 640x480 pixels, USB compatible with USB3.0, USB2.0 and IP, a frame rate of not less than 25f / s, a color mode of color and B / W switch, and a flashing mode of 50 Hz and 60 Hz.

[0025] The blockchain storage uses distributed data storage, peer-to-peer transmission, consensus mechanism, and encryption algorithm to store information in blockchain nodes.

[0026] Step 1: Capture micro-movements of the human head through a digital camera and an image display system;

[0027] Step 2: Analyze the maximum information content of the micro-movement of the human head with the assistance of the image display system. Use the vibration image technology to capture the micro-movement of the human head. Use the information state and energy state as the general characteristics of the psychological and physiological state to analyze the unconscious reaction. The specific analysis method is as follows:

[0028] Method 1: Analysis of internal head vibration images, by analyzing the differences in the amplitude and frequency values ​​of the human head vibration at each spatial point, and displaying them in a pseudo-color image, each point (pixel) amplitude vibration image reflects the relative movement of an element in the image, which is saved in a known and determined time, that is, at small movements, the frame difference is proportional to the movement of the object. For this transformation of relative absolute movement, precise information is required, namely the distance of the object and the working angle of the chamber target, and then color scale is performed, scaled by millimeters or microns.

[0029] The technique assumes the definition of more than 40 integrated vibration image parameters reflecting various types of motion and vibration, which are divided into 4 basic groups: amplitude parameters, frequency parameters, symmetry parameters and mathematically calculated P-space and time parameters.

[0030] Method 2: Frequency-amplitude analysis of the head's exterior. The maximum frequency and average amplitude vibration images around the head are displayed with a halo through an image display system, which follows the same color scale, color-coded by the vibration image, and displays the maximum frequency in each line. The size of the halo is defined by the average amplitude of a given line. Any color unevenness and the size of the halo are characteristic of the object's movement and its emotional state.

[0031] Any aura asymmetry (form, color) in method 2 is a characteristic deviation from the psychological or physiological norm, irregularities in the color of the vibrating ear are a characteristic of a person's psychological and physiological imbalance, and any breaks in the uniformity of the aura are a characteristic deviation from the psychological or physiological norm. The ideal aura is monochromatic, symmetrical, and uniform. Any real aura differs from the ideal, and the problem of interpretation is the characterization of real aura deviations.

[0032] This short halo explanation corresponds to the default vibrato system settings and is based on the main rules for right vibrato scanning: uniform and stable object illumination, high-quality low-nose camera application, frontal flat object in front of the camera, maximum face image size on the monitor and mechanical stabilization of the camera.

[0033] Step 3: Get the target state through step 2.

[0034] Example 1: Normal and top emotional states, in normal condition, with aura color and shape uniform around the head, the relevant monochromatic color is in the middle of the recommended color scale, the activity level is about 0.3-0.6. The stress level is about 0.2-0.5, the tension level is not more than 0.4, each emotional level measurement ranges from 0 to 1, 0 and the minimum value coordinates with the minimum emotional intensity, the frequency distribution histogram is close to normal distribution, and the spectrum of the high-speed vibration image signal is close to exponential distribution.

[0035] Example 2: Stress state. The stress state is characterized by a large number of gaps in the halo form and extremely uneven halo colors, with each scale color and sharp color shifts, like red can shift to blue, stress level is greater than 0.7, aggressiveness or activity level is low, not exceeding 0.5, tension level is high, usually exceeding 0.4, frequency distribution histogram has several modes, and the high-speed vibration image signal spectrum presents a superposition of exponential distribution and uniform distribution.

[0036] Example 3: Feeling a state of terror. The characteristics of the state of terror are high-frequency vibrations and red vibrations. There must be color and form unevenness. The stress level may be very low, less than 0.4, and the tension level is greater than 0.5. The frequency histogram distribution has a maximum value on the right side of the range. The distribution has quantitative dispersion, and the high-speed signal spectrum envelope appears to be evenly distributed.

[0037] Example 4: The aggressive / aggressive state is not always coordinated with tension, and the tension state is not always coordinated with aggression, but often these two emotions accompany each other. The aggressive state is compulsorily characterized by high-frequency vibrations and red vibrations. There must be color and form unevenness. The stress level may be very low, less than 0.3, the anger level is greater than 0.7, and the tension level is greater than 0.4. The frequency histogram distribution has a maximum value on the right side of the range, and the distribution has quantitative dispersion. The high-speed signal spectrum envelope looks uniformly distributed.

[0038] The present invention and its implementation methods are described above, and such description is not restrictive, and the actual structure is not limited thereto. In short, if a person skilled in the art is inspired by it, and does not deviate from the purpose of the invention, and does not creatively design a structure and implementation method similar to the technical solution, they should all fall within the protection scope of the present invention.

Claims

1. A blockchain-assisted comprehensive evaluation method for negative emotions of personnel, characterized by: It includes an identification system, an analysis system and a storage system. The identification system is an image display system and a digital camera. The analysis system captures micro-movements of the human head, analyzes unconscious reactions and obtains results through the identification system. The storage system adopts blockchain storage. Step 1: Capture the micro-movement of the human head through a digital camera and an image display system; Step 2: Analyze the maximum information content of the micro-movement of the human head with the assistance of the image display system. Use the vibration image technology to capture the micro-movement of the human head. Use the information state and energy state as the general characteristics of the psychological and physiological state to analyze the unconscious reaction. The specific analysis method is as follows: Method 1: Analysis of internal head vibration images, by analyzing the differences in the amplitude and frequency values ​​of the human head vibration at each spatial point, and displaying them in a pseudo-color image, each point (pixel) amplitude vibration image reflects the relative movement of an element in the image, which is saved in a known and determined time, that is, at small movements, the frame difference is proportional to the movement of the object. For this transformation of relative absolute movement, precise information is required, namely the distance of the object and the working angle of the chamber target, and then color scale is performed, scaled by millimeters or microns. Method 2: Frequency-amplitude analysis of the head's exterior. The maximum frequency and average amplitude vibration images around the head are displayed with a halo through an image display system, which follows the same color scale, color-coded by the vibration image, and displays the maximum frequency in each line. The size of the halo is defined by the average amplitude of a given line. Any color unevenness and the size of the halo are characteristic of the object's movement and its emotional state. Step 3: Get the target state through step 2.

2. According to claim 1, a blockchain-assisted comprehensive evaluation method for negative emotions of personnel, characterized in that: The image display system has a resolution of not less than 400 TVL, a noise level of a vibration image of less than 0.1 bit, a frame rate of not less than 25 frames per second, and a frequency range greater than 0.1 divided by 10 Hz.

3. According to claim 1, a blockchain-assisted comprehensive evaluation method for negative emotions of personnel, characterized in that: The digital camera has a sensor of CD or CMOS, a resolution of not less than 640x480 pixels, USB compatible with USB3.0, USB2.0 and IP, a frame rate of not less than 25f / s, a color mode of color and B / W switch, and a flashing mode of 50 Hz and 60 Hz.

4. According to claim 1, a blockchain-assisted comprehensive evaluation method for negative emotions of personnel, characterized in that: Any aura asymmetry (form, color) in method 2 is a characteristic deviation from the psychological or physiological norm, irregularities in the color of the vibrating ear are a characteristic of a person's psychological and physiological imbalance, and any breaks in the uniformity of the aura are a characteristic deviation from the psychological or physiological norm. The ideal aura is monochromatic, symmetrical, and uniform. Any real aura differs from the ideal, and the problem of interpretation is the characterization of real aura deviations.

5. According to claim 1, a blockchain-assisted comprehensive evaluation method for negative emotions of personnel, characterized in that: The blockchain storage uses distributed data storage, peer-to-peer transmission, consensus mechanism, and encryption algorithm to store information in blockchain nodes.

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