CN113096791A - Personnel identification device, method and system based on wireless signals - Google Patents

Personnel identification device, method and system based on wireless signals Download PDF

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Publication number
CN113096791A
CN113096791A CN202010017516.2A CN202010017516A CN113096791A CN 113096791 A CN113096791 A CN 113096791A CN 202010017516 A CN202010017516 A CN 202010017516A CN 113096791 A CN113096791 A CN 113096791A
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person
speed
level
identified
preset time
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赵倩
田军
李红春
谢莉莉
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Fujitsu Ltd
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Fujitsu Ltd
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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Abstract

The embodiment of the invention provides a personnel identification device, a method and a system based on wireless signals. The method comprises the following steps: calculating the movement speed, the track smoothness, the speed richness and the step frequency information of the person to be identified according to wireless reflection signals from the person to be identified in a preset time interval, wherein the speed richness characterizes the difference of the speeds of a plurality of parts of the person to be identified at the same time; determining a first identification result of the person to be identified according to the movement speed, the trajectory smoothness and the speed richness of the person to be identified; determining a second identification result of the person to be identified according to the step frequency information of the person to be identified; and determining the category of the person to be identified according to the first identification result and the second identification result.

Description

Personnel identification device, method and system based on wireless signals
Technical Field
The invention relates to the technical field of information, in particular to a personnel identification device, a personnel identification method and a personnel identification system based on wireless signals.
Background
With the aging becoming more and more serious, the health care demand of the old people is increasing, and the method has important significance in providing effective health monitoring service for the old people. And identification of the type of person is an important aspect thereof.
In a place such as a nursing home or a hospital, slow acting persons such as old people or patients and normal acting persons such as nurses or nursing staff exist, the slow acting persons can analyze the work and rest rules, health conditions and the like of the slow acting persons according to the detection data, and the normal acting persons can analyze the work conditions of the normal acting persons according to the detection data. However, it is a prerequisite that the detection data of the slow-acting person and the normal-acting person can be effectively distinguished.
Currently, identification of people is generally achieved through processing of surveillance videos.
It should be noted that the above background description is only for the sake of clarity and complete description of the technical solutions of the present invention and for the understanding of those skilled in the art. Such solutions are not considered to be known to the person skilled in the art merely because they have been set forth in the background section of the invention.
Disclosure of Invention
The inventor finds that the existing person identification method based on the monitoring video cannot well protect the privacy of the monitored object, and the identification result is easily influenced by ambient light and temperature.
The embodiment of the invention provides a personnel identification device, a personnel identification method and a personnel identification system based on wireless signals, which can effectively protect the privacy of personnel to be identified, and have the advantages of high identification precision, strong anti-interference capability and simple calculation.
According to a first aspect of embodiments of the present invention, there is provided a wireless signal-based person identification apparatus, the apparatus including: the first calculation unit is used for calculating the movement speed, the track smoothness, the speed richness and the step frequency information of the person to be identified according to wireless reflection signals from the person to be identified in a preset time interval, wherein the speed richness characterizes the difference of the speeds of a plurality of parts of the person to be identified at the same time; the first identification unit is used for determining a first identification result of the person to be identified according to the movement speed, the trajectory smoothness and the speed richness of the person to be identified; the second identification unit is used for determining a second identification result of the person to be identified according to the step frequency information of the person to be identified; and the first determining unit is used for determining the category of the person to be identified according to the first identification result and the second identification result.
According to a second aspect of embodiments of the present invention, there is provided a person identification system, the detection system including: a signal transmitting section that transmits a wireless signal to a space in which a person to be identified is located; a signal receiving unit that receives a wireless reflected signal; and the person identification device based on wireless signals according to the first aspect of the embodiment of the invention, which detects the type of the person to be identified according to the received wireless reflection signal.
According to a third aspect of the embodiments of the present invention, there is provided a method for identifying a person based on a wireless signal, the method including: calculating the movement speed, the track smoothness, the speed richness and the step frequency information of the person to be identified according to wireless reflection signals from the person to be identified in a preset time interval, wherein the speed richness characterizes the difference of the speeds of a plurality of parts of the person to be identified at the same time; determining a first identification result of the person to be identified according to the movement speed, the trajectory smoothness and the speed richness of the person to be identified; determining a second identification result of the person to be identified according to the step frequency information of the person to be identified; and determining the category of the person to be identified according to the first identification result and the second identification result.
The invention has the beneficial effects that: the method comprises the steps of calculating the movement speed, the track smoothness, the speed abundance and the step frequency information of a person to be identified based on wireless signals, determining the category of the person to be identified by combining a first identification result obtained according to the movement speed, the track smoothness and the speed abundance and a second identification result obtained according to the step frequency information, effectively protecting the privacy of the person to be identified, and being high in identification precision, strong in anti-interference capability and simple in calculation.
Specific embodiments of the present invention are disclosed in detail with reference to the following description and drawings, indicating the manner in which the principles of the invention may be employed. It should be understood that the embodiments of the invention are not so limited in scope. The embodiments of the invention include many variations, modifications and equivalents within the spirit and scope of the appended claims.
Features that are described and/or illustrated with respect to one embodiment may be used in the same way or in a similar way in one or more other embodiments, in combination with or instead of the features of the other embodiments.
It should be emphasized that the term "comprises/comprising" when used herein, is taken to specify the presence of stated features, integers, steps or components but does not preclude the presence or addition of one or more other features, integers, steps or components.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort. In the drawings:
fig. 1 is a schematic view of a person identification apparatus based on wireless signals according to embodiment 1 of the present invention;
FIG. 2 is a diagram of the first computing unit 101 according to embodiment 1 of the present invention;
fig. 3 is a schematic diagram of the first recognition unit 102 according to embodiment 1 of the present invention;
fig. 4 is a schematic diagram of a method for implementing the identification function of the first identification unit 102 according to embodiment 1 of the present invention;
fig. 5 is a schematic view of an electronic device according to embodiment 2 of the present invention;
fig. 6 is a schematic block diagram of a system configuration of an electronic apparatus according to embodiment 2 of the present invention;
fig. 7 is a schematic view of a person identification system according to embodiment 3 of the present invention;
fig. 8 is a schematic diagram of a method for identifying a person based on a wireless signal according to embodiment 4 of the present invention.
Detailed Description
The foregoing and other features of the invention will become apparent from the following description taken in conjunction with the accompanying drawings. In the description and drawings, particular embodiments of the invention have been disclosed in detail as being indicative of some of the embodiments in which the principles of the invention may be employed, it being understood that the invention is not limited to the embodiments described, but, on the contrary, is intended to cover all modifications, variations, and equivalents falling within the scope of the appended claims.
Example 1
Fig. 1 is a schematic view of a person identification apparatus based on wireless signals according to embodiment 1 of the present invention. As shown in fig. 1, the wireless signal based person identification apparatus 100 includes:
a first calculating unit 101, configured to calculate, according to a wireless reflected signal from a person to be identified within a preset time interval, a motion speed, a trajectory smoothness, a speed richness, and stride frequency information of the person to be identified, where the speed richness represents a difference in speeds of multiple parts of the person to be identified at the same time;
a first identification unit 102, configured to determine a first identification result of the person to be identified according to the movement speed, the trajectory smoothness, and the speed richness of the person to be identified;
a second identification unit 103, configured to determine a second identification result of the person to be identified according to the step frequency information of the person to be identified; and
a first determining unit 104, configured to determine the category of the person to be identified according to the first identification result and the second identification result.
According to the embodiment, the movement speed, the track smoothness, the speed abundance and the step frequency information of the person to be identified are calculated based on the wireless signals, the category of the person to be identified is determined by combining the first identification result obtained according to the movement speed, the track smoothness and the speed abundance and the second identification result obtained according to the step frequency information, the privacy of the person to be identified can be effectively protected, the anti-interference capability is high, and the calculation is simple.
In the present embodiment, the person identification apparatus 100 identifies the type of the person to be identified, which may be classified according to the motion characteristics, for example, the type of the person to be identified includes a person with slow action and a person with normal action.
In this embodiment, the first calculation unit 101 calculates the movement speed, the trajectory smoothness, the speed richness, and the step frequency information of the person to be identified according to the wireless reflection signal from the person to be identified within the preset time interval.
In this embodiment, the preset time interval represents a period of time, and the length of the interval may be determined according to actual needs, for example, the preset time interval is 10 seconds.
In this embodiment, the movement speed of the person to be recognized represents the overall movement speed of the person to be recognized within a preset time interval, the trajectory smoothness represents the smoothness of the movement trajectory of the person to be recognized within the preset time interval, the speed richness represents the difference of the speeds of a plurality of parts of the person to be recognized at the same time, and the step frequency information represents the step frequency of the person to be recognized when the person to be recognized walks within the preset time interval.
In the present embodiment, the wireless signal may be various types of wireless signals, for example, a microwave radar signal.
For example, when a person to be identified is detected, the wireless signal generating device sends a wireless signal to a space where the person to be identified is located, a part of the wireless signal is reflected by the person to be identified and other objects, and a point at which the wireless signal is reflected is called a reflection point.
Fig. 2 is a schematic diagram of the first calculating unit 101 according to embodiment 1 of the present invention, and as shown in fig. 2, the first calculating unit 101 includes:
a second calculating unit 201, configured to calculate distance information and angle information of a person to be identified according to a wireless reflection signal from the person to be identified within a preset time interval;
a third calculation unit 202 for calculating the position information of the person to be identified based on the distance information and the angle information;
a fourth calculating unit 203, configured to calculate a movement speed of the person to be identified according to the position information of the person to be identified within a preset time interval;
a fifth calculating unit 204, configured to determine a motion trajectory of the person to be identified within a preset time interval according to the position information of the person to be identified within the preset time interval;
a sixth calculating unit 205, configured to calculate smoothness of the trajectory of the person to be identified according to the motion trajectory of the person to be identified within a preset time interval.
A seventh calculating unit 206, configured to calculate a doppler velocity of the person to be identified according to a wireless reflection signal from the person to be identified within a preset time interval;
an eighth calculating unit 207, configured to calculate a velocity abundance of the person to be identified according to the doppler velocity of the person to be identified; and
a ninth calculating unit 208, configured to calculate the step frequency information of the person to be identified according to the number of reflection points and the doppler velocity of the person to be identified.
In the embodiment of the present invention, the first calculation unit 101 may perform calculation in a period of one frame unit, where the frame unit includes a certain number of frames, and the number of frames included in each frame unit may be determined according to actual needs.
For example, one frame unit includes 10 frames, each of which is 0.05 seconds, and one frame unit is 0.5 seconds.
In the present embodiment, the second calculation unit 201 calculates the distance information and the angle information of the person to be identified from the wireless reflection signal from the person to be identified within the preset time interval.
For example, a distance-fourier transform curve of the reflected signal can be obtained by performing one-dimensional fourier transform on the wireless reflected signal, the abscissa of the curve is the distance between the person to be identified and the wireless signal emission source, the ordinate is the amplitude of the one-dimensional fourier transform, and the square of the amplitude is the energy of the reflection point.
In addition, the wireless reflection signal is subjected to two-dimensional Fourier transform, a Doppler-Fourier transform curve chart of the reflection signal can be obtained, the abscissa of the curve chart is the moving speed of the person to be identified, and the ordinate is the amplitude of the two-dimensional Fourier transform.
In addition, the wireless reflection signal is subjected to angle Fourier transform, so that the angle information of the person to be identified can be obtained, and the angle information comprises a horizontal angle and a vertical angle.
In the present embodiment, the third calculation unit 202 calculates the position information of the person to be identified from the distance information and the angle information.
In this embodiment, the position information of the person to be identified may be coordinates of the position of the person to be identified after the coordinate system is established with the wireless signal emission source as the center.
In this embodiment, the fourth calculating unit 203 calculates the moving speed of the person to be identified according to the position information of the person to be identified within the preset time interval.
For example, the movement speed of the person to be recognized is calculated in units of frames, and for example, the movement speed of the person to be recognized may be calculated according to the following formula (1):
vi＝Δsi/Δt (1)
wherein v isiRepresenting the i-th movement speed, Δ s, within a predetermined time intervaliDenotes a distance difference between the (i + 1) th frame unit and the (i) th frame unit, and Δ t denotes a time interval between the (i + 1) th frame unit and the (i) th frame unit, which is equal to one frame unit.
For example,. DELTA.siCan be calculated according to the following equation (2):
Figure BDA0002359458980000061
wherein x isi+1Denotes the value of the distance x, y at the centroid of the (i + 1) th frame uniti+1Denotes the value of the distance y, x at the centroid of the (i + 1) th frame unitiDenotes the distance x value, y at the centroid of the i-th frame unitiRepresents the value of the distance y at the centroid of the ith frame unit.
In this embodiment, the fifth calculating unit 204 determines the movement track of the person to be identified in the preset time interval according to the position information of the person to be identified in the preset time interval.
For example, the position coordinates of each frame unit in the preset time interval are connected in time sequence to obtain the motion track of the person to be identified in the preset time interval.
In this embodiment, the sixth calculating unit 205 calculates the smoothness of the trajectory of the person to be identified according to the motion trajectory of the person to be identified within the preset time interval.
For example, the trajectory smoothness is a ratio of the length of the original motion trajectory to the length of the motion trajectory after the smoothing process. The length of the motion trail is the cumulative sum of the distance differences between adjacent frame units within a preset time interval, i.e. deltasiThe cumulative sum of (a).
In the present embodiment, the smoothing process may use various smoothing processing methods, for example, a moving average filtering method.
In this embodiment, the seventh calculation unit 206 calculates the doppler velocity of the person to be identified based on the wireless reflection signal from the person to be identified within the preset time interval.
For example, according to the distance-fourier transform graph and the doppler-fourier transform graph of the wireless reflection signal, a distance-doppler spectrogram of the reflection signal can be obtained, wherein the abscissa is the distance between the person to be identified and the wireless signal emission source, and the ordinate is the doppler velocity of the person to be identified.
In this embodiment, the eighth calculating unit 207 calculates the velocity abundance of the person to be identified according to the doppler velocity of the person to be identified.
In the present embodiment, one speed richness is calculated for one frame unit.
For example, for a frame unit, the doppler velocity is arranged in the same or different velocity values: v. of1,v1,v2,v3,v1,v4,v4,v5,v6…vNThat is, the frame unit includes velocity values of N doppler velocities, and then the velocity richness is N for the frame unit, where N is a positive integer.
In this embodiment, the speed abundance represents the speed difference of the plurality of parts of the person to be recognized at the same time, that is, the more the types of the speed values of the doppler speed are in a certain frame unit, that is, the higher the speed abundance is, the larger the speed difference of the plurality of parts of the person to be recognized at the same time is.
When the preset time interval contains M frame units, the preset time interval has M speed richness.
In this embodiment, the ninth calculating unit 208 calculates the step frequency information of the person to be identified according to the number of reflection points and the doppler velocity of the person to be identified.
For example, according to a wireless reflection signal from a person to be identified in a preset time interval, the number of reflection points of the person to be identified in each frame unit and the doppler velocity sum of each reflection point are obtained, in the preset time interval, band-pass filtering is performed on the obtained number of reflection points and the doppler velocity sum of each reflection point, and fast fourier transform is performed on the result after band-pass filtering, so that a step frequency value can be obtained, wherein the unit of the step frequency value is, for example, step/second.
In this embodiment, the first identification unit 102 determines the first identification result of the person to be identified according to the movement speed, the trajectory smoothness and the speed richness of the person to be identified.
For example, the first recognition unit 102 determines a level of the movement speed, a level of the trajectory smoothness, a level of the speed richness, and a proportion of the movement speed of each level within a preset time interval according to the movement speed, the trajectory smoothness, and the speed richness of the person to be recognized, and determines a first recognition result of the person to be recognized according to the level of the movement speed, the level of the trajectory smoothness, the level of the speed richness, and the proportion of the movement speed of each level within the preset time interval.
In the present embodiment, for example, the movement speed may be divided into a first level speed, a second level speed, and a third level speed, the first level speed > the second level speed > the third level speed;
for example, the trajectory smoothness may be divided into a first level smoothness, a second level smoothness, and a third level smoothness, the first level smoothness > the second level smoothness > the third level smoothness;
for example, the speed richness can be divided into a first level of speed richness and a second level of speed richness, the first level of speed richness > the second level of speed richness.
In this embodiment, the dividing motion speed and the dividing trajectory smoothness may be divided by setting a plurality of thresholds, and the value of a specific threshold may be determined according to actual needs.
In the present embodiment, a method of dividing the level of the speed richness will be described later.
In the present embodiment, the proportion of the movement speed of each level within the preset time interval may be represented by, for example, a frame proportion, that is, the proportion of all frames within the entire preset time interval of frames having the movement speed of each level.
Hereinafter, the structure of the first recognition unit 102 and the method of determining the first recognition result of the person to be recognized are exemplarily described.
Fig. 3 is a schematic diagram of the first identification unit 102 according to embodiment 1 of the present invention. As shown in fig. 3, the first recognition unit 102 includes:
a second determining unit 301, configured to determine whether there is a movement at a first level speed according to the movement speed of the person to be identified within a preset time interval;
a third recognition unit 302 for recognizing, in the absence of motion at the first level of speed,
when the proportion of the movement of the second-level speed in the preset time interval is greater than a first threshold value and the movement track has first-level smoothness, or when the proportion of the movement of the second-level speed in the preset time interval is greater than the first threshold value, the movement track has third-level smoothness and the speed richness is a first level, or when the proportions of the movement of the second-level speed and the movement of the third-level speed in the preset time interval are less than or equal to the first threshold value, the movement track has first-level smoothness or second-level smoothness and the speed richness is a first level, determining that the person to be identified is a person with normal action; and when the proportion of the second-level speed in the preset time interval is larger than the first threshold value, the motion track has third-level smoothness and the speed richness is a second level, or when the proportion of the second-level speed in the preset time interval is less than or equal to the first threshold value and the proportion of the movement of the third-level speed in the preset time interval exceeds the first threshold value, or when the proportion of the motion of the second-level speed and the motion of the third-level speed in the preset time interval is less than or equal to the first threshold value and the track has third-level smoothness, or when the proportion of the movement of the second-level speed and the movement of the third-level speed in the preset time interval is less than or equal to a first threshold value, the movement track has first-level smoothness and the speed richness is a second level, determining that the person to be identified is a person with bradykinesia;
a fourth recognition unit 303 for recognizing, in the presence of a motion of a first level speed,
when the number of continuous motion frames of the first level speed in the preset time interval is larger than a second threshold, or when the number of continuous motion frames of the first level speed in the preset time interval is smaller than or equal to the second threshold, the proportion of the motion of the first level speed in the preset time interval is larger than a third threshold, and the proportion of the motion of the second level speed in the preset time interval is larger than a fourth threshold, and the motion track has second-level smoothness or first-level smoothness, or when the number of continuous motion frames of the first level speed in the preset time interval is smaller than or equal to the second threshold, the proportion of the motion of the first level speed in the preset time interval is larger than the third threshold, the proportion of the motion of the second level speed in the preset time interval is larger than the fourth threshold, the motion track has third-level smoothness, and the speed abundance is the first level, or when the number of continuous frames of the motion of the first-level speed in the preset time interval is less than or equal to a second threshold, the proportion of the motion of the first-level speed in the preset time interval is less than or equal to a third threshold, the motion of the second-level speed exists, and the motion track has first-level smoothness, determining that the person to be identified is a person with normal action; and
when the number of continuous frames of the motion of the first level speed in the preset time interval is less than or equal to a second threshold, the proportion of the motion of the first level speed in the preset time interval is less than or equal to a third threshold and no motion of the second level speed exists, or when the number of continuous frames of the motion of the first level speed in the preset time interval is less than or equal to the second threshold, the proportion of the motion of the first level speed in the preset time interval is less than or equal to the third threshold, the motion of the second level speed exists, the motion track has third level smoothness and the speed richness is a second level, or when the number of continuous frames of the motion of the first level speed in the preset time interval is less than or equal to the second threshold, the proportion of the motion of the first level speed in the preset time interval is greater than the third threshold, the proportion of the motion of the second level speed in the preset time interval is less than or equal to a fourth threshold, and, And when the motion track has third-level smoothness and the speed richness is a second level, determining that the person to be identified is the slow-acting person.
In this embodiment, the specific values of the above thresholds may be determined according to actual needs.
Fig. 4 is a schematic diagram of a method for implementing the identification function of the first identification unit 102 according to embodiment 1 of the present invention.
As shown in fig. 4, the method includes:
step 401: judging whether the motion at the first level speed exists in a preset time interval, entering a step 402 when the judgment result is 'no', and entering a step 408 when the judgment result is 'yes';
step 402: judging whether the proportion of the movement of the second-level speed in the preset time interval is larger than a first threshold value or not, if so, entering a step 403, and if not, entering a step 405;
step 403: judging whether the motion track has first grade smoothness, and when the judgment result is yes, determining that the first recognition result is 'normal action personnel'; when the judgment result is 'no', the step 404 is entered;
step 404: judging whether the speed richness is in a first level, and when the judgment result is 'yes', determining that the first identification result is 'normal personnel' in action; when the judgment result is 'no', determining that the first identification result is 'person with slow action';
step 405: judging whether the proportion of the movement of the third-level speed in the preset time interval is larger than a first threshold value or not, and when the judgment result is 'yes', determining that the first identification result is 'underaction person'; when the judgment result is "no", step 406 is entered;
step 406: judging whether the track smoothness is third-level smoothness, and when the judgment result is 'yes', determining that the first recognition result is 'underaction person'; when the judgment result is "no", step 407 is entered;
step 407: judging whether the speed richness is in a first level, and when the judgment result is yes, determining that the first identification result is a person with normal action when the judgment result is yes; when the judgment result is 'no', determining that the first identification result is 'person with slow action';
step 408: judging whether the number of continuous moving frames at the first level speed in a preset time interval is greater than a second threshold value, and when the judgment result is yes, determining that the first identification result is 'normal personnel' for action; when the judgment result is "no", the step 409 is entered;
step 409: judging whether the proportion of the movement of the first grade speed in the preset time interval is greater than a third threshold value, if so, entering a step 410, and if not, entering a step 413;
step 410: judging whether the proportion of the movement of the second-level speed in the preset time interval is greater than a fourth threshold value, if so, not outputting the result, and if not, entering the step 411;
step 411: judging whether the motion track has second grade smoothness or first grade smoothness, and when the judgment result is yes, determining that the first recognition result is 'personnel with normal action'; when the judgment result is "no", go to step 414;
step 412: judging whether the speed richness is in a first level, and when the judgment result is 'yes', determining that the first identification result is 'normal personnel' in action; when the judgment result is 'no', determining that the first identification result is 'person with slow action';
step 413: judging whether the motion at the second level speed exists in a preset time interval, and entering a step 414 when the judgment result is yes; when the judgment result is 'no', determining that the first identification result is 'person with slow action';
step 414: judging whether the motion track has first grade smoothness, and when the judgment result is yes, determining that the first recognition result is 'normal action personnel'; when the determination result is "no", step 412 is entered.
In this embodiment, the first threshold to the fourth threshold may be set according to actual needs, for example, the first threshold is 0.55, the second threshold is 10, the third threshold is 0.15, and the fourth threshold is 0.35.
In this embodiment, as shown in fig. 3, the first identifying unit 102 further includes:
a third determining unit 304, configured to determine a level of the speed richness according to a first reference value and a second reference value, the first reference value being a difference value between a maximum value and a minimum value of the speed richness within the preset time interval, the second reference value being a number of the speed richness exceeding a preset ratio among the speed richness within the preset time interval.
For example, when the preset time interval includes M frame units, the preset time interval has M speed abundances, and the M speed abundances have Q speed abundance values, and the ratio of the values of various speed abundances can be calculated, and the number of the speed abundances corresponding to the value of which the ratio exceeds the preset ratio is the second reference value.
For example, when the third determining unit 304 determines the level of speed richness, when the first reference value is greater than or equal to a fifth threshold value, or when the first reference value is less than the fifth threshold value and the first reference value is greater than or equal to a sixth threshold value and the second reference value is greater than or equal to the sixth threshold value, the third determining unit 304 determines the speed richness as the first level; and when the first reference value is smaller than the fifth threshold value, and the first reference value is smaller than the sixth threshold value and/or the second reference value is smaller than the sixth threshold value, the third determining unit 304 determines the speed richness to be the second level.
In this embodiment, the fifth threshold and the sixth threshold may be set according to actual needs, for example, the fifth threshold is 9, and the sixth threshold is 6.
In this embodiment, the second identification unit 103 determines the second identification result of the person to be identified according to the stride frequency information of the person to be identified.
For example, when the step frequency of the person to be identified is less than the seventh threshold, the second identification unit 103 determines that the person to be identified is a slow-acting person; and when the step frequency of the person to be identified is greater than or equal to the seventh threshold, the second identification unit 103 determines that the person to be identified is a person with normal action.
In this embodiment, the seventh threshold may be set according to actual needs, for example, the seventh threshold is 1.5.
In this embodiment, the first determination unit 104 determines the category of the person to be identified according to the first identification result and the second identification result.
For example, when the first recognition result and the second recognition result are both slow-acting persons, the first determination unit 104 determines that the person to be recognized is a slow-acting person; and when at least one of the first recognition result and the second recognition result is a person who normally acts, the first determination unit 104 determines that the person to be recognized is a person who normally acts.
In this way, by combining the first recognition result and the second recognition result, the accuracy of the recognition result can be improved.
In this embodiment, a final recognition result may be obtained based on a plurality of recognition results within a plurality of preset times, for example, as shown in fig. 1, the apparatus may further include:
a fourth determining unit 105, configured to determine the person to be identified as a slow-moving person when all of the plurality of identification results are slow-moving persons; and when at least one of the plurality of recognition results is a person with normal action, determining the person to be recognized as the person with normal action.
In this way, by combining a plurality of recognition results within a plurality of preset times, the accuracy of further recognition results can be improved.
In the present embodiment, the fourth determination unit 105 is an optional component.
According to the embodiment, the movement speed, the track smoothness, the speed abundance and the step frequency information of the person to be identified are calculated based on the wireless signals, the category of the person to be identified is determined by combining the first identification result obtained according to the movement speed, the track smoothness and the speed abundance and the second identification result obtained according to the step frequency information, the privacy of the person to be identified can be effectively protected, and the identification accuracy is high, the anti-interference capability is strong, and the calculation is simple.
Example 2
An embodiment of the present invention further provides an electronic device, and fig. 5 is a schematic diagram of the electronic device in embodiment 2 of the present invention. As shown in fig. 5, the electronic device 500 includes a person identification apparatus 501 based on wireless signals, wherein the structure and function of the person identification apparatus 501 based on wireless signals are the same as those described in embodiment 1, and are not described herein again.
Fig. 6 is a schematic block diagram of a system configuration of an electronic apparatus according to embodiment 2 of the present invention. As shown in fig. 6, the electronic device 600 may include a processor 601 and a memory 602; a memory 602 is coupled to the processor 601. The figure is exemplary; other types of structures may also be used in addition to or in place of the structure to implement telecommunications or other functions.
As shown in fig. 6, the electronic device 600 may further include: an input unit 603, a display 604, and a power supply 605.
In one embodiment, the functionality of the wireless signal based person identification apparatus described in example 1 may be integrated into the processor 601. Wherein, the processor 601 may be configured to: calculating the movement speed, the track smoothness, the speed richness and the step frequency information of the person to be identified according to the wireless reflection signals from the person to be identified in a preset time interval, wherein the speed richness represents the difference of the speeds of a plurality of parts of the person to be identified at the same time; determining a first identification result of the person to be identified according to the movement speed, the track smoothness and the speed richness of the person to be identified; determining a second identification result of the person to be identified according to the step frequency information of the person to be identified; and determining the category of the person to be identified according to the first identification result and the second identification result.
For example, calculating the movement speed of the person to be identified according to the wireless reflection signal from the person to be identified in the preset time interval includes: calculating distance information and angle information of the person to be identified according to a wireless reflection signal from the person to be identified in a preset time interval; calculating the position information of the person to be identified according to the distance information and the angle information; and calculating the movement speed of the person to be identified according to the position information of the person to be identified in the preset time interval.
For example, calculating the trajectory smoothness of the person to be identified according to the wireless reflection signal from the person to be identified within the preset time interval includes: calculating distance information and angle information of the person to be identified according to a wireless reflection signal from the person to be identified in a preset time interval; calculating the position information of the person to be identified according to the distance information and the angle information; determining the movement track of the person to be identified in a preset time interval according to the position information of the person to be identified in the preset time interval; and calculating the smoothness of the track of the person to be recognized according to the motion track of the person to be recognized in a preset time interval.
For example, calculating the speed richness of the person to be identified according to the wireless reflection signal from the person to be identified in the preset time interval includes: calculating the Doppler velocity of the person to be identified according to the wireless reflection signal from the person to be identified in a preset time interval; and calculating the speed richness of the person to be identified according to the Doppler speed of the person to be identified.
For example, calculating the step frequency information of the person to be identified according to the wireless reflection signal from the person to be identified in the preset time interval includes: calculating distance information and angle information of the person to be identified according to a wireless reflection signal from the person to be identified in a preset time interval; calculating the position information of the person to be identified according to the distance information and the angle information; calculating the movement speed of the person to be identified according to the position information of the person to be identified in a preset time interval; and calculating the step frequency information of the person to be identified according to the number of the reflection points and the Doppler velocity of the person to be identified.
For example, determining a first recognition result of the person to be recognized according to the movement speed, the trajectory smoothness and the speed richness of the person to be recognized includes: determining the grade of the movement speed, the grade of the track smoothness, the grade of the speed richness and the proportion of the movement speed of each grade in the preset time interval according to the movement speed, the track smoothness and the speed richness of the person to be identified, and determining a first identification result of the person to be identified according to the grade of the movement speed, the grade of the track smoothness, the grade of the speed richness and the proportion of the movement speed of each grade in the preset time interval.
For example, determining whether the movement of the first-level speed exists according to the movement speed of the person to be identified in a preset time interval; under the condition that the movement of the first-level speed does not exist, when the proportion of the movement of the second-level speed in the preset time interval is larger than a first threshold value and the movement track has first-level smoothness, or when the proportion of the movement of the second-level speed in the preset time interval is larger than the first threshold value, the movement track has third-level smoothness and the speed richness is a first level, or when the proportions of the movement of the second-level speed and the movement of the third-level speed in the preset time interval are smaller than or equal to the first threshold value, the movement track has first-level smoothness or second-level smoothness and the speed richness is a first level, determining that the person to be identified is a normally-acting person; and when the proportion of the second-level speed in the preset time interval is larger than the first threshold value, the motion track has third-level smoothness and the speed richness is a second level, or when the proportion of the second-level speed in the preset time interval is less than or equal to the first threshold value and the proportion of the movement of the third-level speed in the preset time interval exceeds the first threshold value, or when the proportion of the motion of the second-level speed and the motion of the third-level speed in the preset time interval is less than or equal to the first threshold value and the track has third-level smoothness, or when the proportion of the movement of the second-level speed and the movement of the third-level speed in the preset time interval is less than or equal to the first threshold, the movement track has the smoothness of the first level and the speed richness is the second level, determining that the person to be identified is the slow-acting person.
For example, in the case where there is a motion at a first level speed, when the number of frames in which the motion at the first level speed continues within a preset time interval is greater than a second threshold, or when the number of frames in which the motion at the first level speed continues within the preset time interval is less than or equal to a second threshold, the proportion of the motion at the first level speed within the preset time interval is greater than a third threshold, and the proportion of the motion at the second level speed within the preset time interval is greater than a fourth threshold, and the motion trajectory has a second level smoothness or a first level smoothness, or when the number of frames in which the motion at the first level speed continues within the preset time interval is less than or equal to the second threshold, the proportion of the motion at the first level speed within the preset time interval is greater than the third threshold, the proportion of the motion at the second level speed within the preset time interval is greater than the fourth threshold, the motion trajectory has a third level, and the speed smoothness is rich in the first level, or when the number of continuous frames of the motion of the first-level speed in the preset time interval is less than or equal to a second threshold, the proportion of the motion of the first-level speed in the preset time interval is less than or equal to a third threshold, the motion of the second-level speed exists, and the motion track has first-level smoothness, determining that the person to be identified is a person with normal action; and when the number of continuous frames of the motion of the first level speed in the preset time interval is less than or equal to a second threshold, the proportion of the motion of the first level speed in the preset time interval is less than or equal to a third threshold and no motion of the second level speed exists, or when the number of continuous frames of the motion of the first level speed in the preset time interval is less than or equal to the second threshold, the proportion of the motion of the first level speed in the preset time interval is less than or equal to the third threshold, the motion of the second level speed exists, the motion track has third level smoothness and the speed richness is a second level, or when the number of continuous frames of the motion of the first level speed in the preset time interval is less than or equal to the second threshold, the proportion of the motion of the first level speed in the preset time interval is greater than the third threshold, the proportion of the motion of the second level speed in the preset time interval is less than or equal to a fourth threshold, and, And when the motion track has third-level smoothness and the speed richness is a second level, determining that the person to be identified is the slow-acting person.
For example, the level of the speed richness is determined according to a first reference value and a second reference value, wherein the first reference value is the difference value between the maximum value and the minimum value of the speed richness in the preset time interval, and the second reference value is the number of the speed richness exceeding a preset proportion in the speed richness in the preset time interval.
For example, determining a level of speed richness from the first reference value and the second reference value includes: when the first reference value is greater than or equal to a fifth threshold value, or when the first reference value is less than the fifth threshold value, the first reference value is greater than or equal to a sixth threshold value, and the second reference value is greater than or equal to the sixth threshold value, determining the speed richness as a first level; and determining the speed richness as a second level when the first reference value is smaller than a fifth threshold value, and the first reference value is smaller than a sixth threshold value and/or the second reference value is smaller than a sixth threshold value.
For example, determining the second identification result of the person to be identified according to the step frequency information of the person to be identified includes: when the step frequency of the person to be identified is smaller than a seventh threshold value, determining that the person to be identified is a person with slow action; and when the step frequency of the person to be identified is greater than or equal to a seventh threshold value, determining that the person to be identified is a person with normal action
For example, determining the category of the person to be identified according to the first identification result and the second identification result includes: when the first recognition result and the second recognition result are slow-acting persons, determining the person to be recognized as the slow-acting person; and when at least one of the first recognition result and the second recognition result is a person with normal action, determining that the person to be recognized is the person with normal action
For example, a plurality of identification results of the person to be identified are respectively obtained according to wireless reflection signals from the person to be identified in a plurality of preset time intervals; when the plurality of recognition results are all slow-moving persons, determining the person to be recognized as the slow-moving person; when at least one of the plurality of recognition results is a person with normal action, determining the person to be recognized as the person with normal action
In another embodiment, the person identification apparatus based on wireless signals described in embodiment 1 may be configured separately from the processor 601, for example, the person identification apparatus based on wireless signals may be a chip connected to the processor 601, and the function of the person identification apparatus based on wireless signals may be realized by the control of the processor 601.
It is not necessary for the electronic device 600 to include all of the components shown in fig. 6 in this embodiment.
As shown in fig. 6, the processor 601, which is sometimes referred to as a controller or operational control, may include a microprocessor or other processor device and/or logic device, and the processor 601 receives input and controls the operation of the various components of the electronic device 600.
The memory 602, for example, may be one or more of a buffer, a flash memory, a hard drive, a removable media, a volatile memory, a non-volatile memory, or other suitable device. And the processor 601 may execute the program stored in the memory 602 to realize information storage or processing, or the like. The functions of other parts are similar to the prior art and are not described in detail here. The various components of electronic device 600 may be implemented in dedicated hardware, firmware, software, or combinations thereof, without departing from the scope of the invention.
According to the embodiment, the movement speed, the track smoothness, the speed abundance and the step frequency information of the person to be identified are calculated based on the wireless signals, the category of the person to be identified is determined by combining the first identification result obtained according to the movement speed, the track smoothness and the speed abundance and the second identification result obtained according to the step frequency information, the privacy of the person to be identified can be effectively protected, and the identification accuracy is high, the anti-interference capability is strong, and the calculation is simple.
Example 3
The embodiment of the invention also provides a personnel identification system, which comprises a signal transmitting part, a signal receiving part and a personnel identification device based on wireless signals, wherein the structure and the function of the detection device are the same as those described in the embodiment 1, and detailed contents are not repeated.
Fig. 7 is a schematic diagram of a person identification system according to embodiment 3 of the present invention, and as shown in fig. 7, the person identification system 800 includes:
a signal transmitting section 701 that transmits a wireless signal to a space in which a person to be identified is located;
a signal receiving unit 702 that receives a radio reflected signal; and
and a person identification device 703 for detecting the type of the person to be identified according to the received wireless reflected signal.
In this embodiment, the signal transmitting part 701 is a wireless signal transmitting source, and may be separately provided from the signal receiving part 702, or may be integrated into one device, for example, the signal transmitting part 701 and the signal receiving part 702 are both included in one microwave radar, and the function and structure of the microwave radar may refer to the prior art.
In this embodiment, the structure and function of the person recognizing apparatus 703 are the same as those described in embodiment 1, and detailed description thereof will not be repeated. The person identification device 703 may be provided as a separate device, or may be integrated into the signal receiving unit 702 or the microwave radar having the signal receiving unit 702.
According to the embodiment, the movement speed, the track smoothness, the speed abundance and the step frequency information of the person to be identified are calculated based on the wireless signals, the category of the person to be identified is determined by combining the first identification result obtained according to the movement speed, the track smoothness and the speed abundance and the second identification result obtained according to the step frequency information, the privacy of the person to be identified can be effectively protected, and the identification accuracy is high, the anti-interference capability is strong, and the calculation is simple.
Example 4
The embodiment of the invention also provides a personnel identification method based on the wireless signal, which corresponds to the personnel identification device based on the wireless signal in the embodiment 1. Fig. 8 is a schematic diagram of a method for identifying a person based on a wireless signal according to embodiment 4 of the present invention. As shown in fig. 8, the method includes:
step 801: calculating the movement speed, the track smoothness, the speed richness and the step frequency information of the person to be identified according to the wireless reflection signals from the person to be identified in a preset time interval, wherein the speed richness represents the difference of the speeds of a plurality of parts of the person to be identified at the same time;
step 802: determining a first identification result of the person to be identified according to the movement speed, the track smoothness and the speed richness of the person to be identified;
step 803: determining a second identification result of the person to be identified according to the step frequency information of the person to be identified; and
step 804: and determining the category of the person to be identified according to the first identification result and the second identification result.
In this embodiment, the order of step 802 and step 803 is not limited.
In this embodiment, the specific implementation method in each step is the same as that described in embodiment 1, and is not described herein again.
According to the embodiment, the movement speed, the track smoothness, the speed abundance and the step frequency information of the person to be identified are calculated based on the wireless signals, the category of the person to be identified is determined by combining the first identification result obtained according to the movement speed, the track smoothness and the speed abundance and the second identification result obtained according to the step frequency information, the privacy of the person to be identified can be effectively protected, and the identification accuracy is high, the anti-interference capability is strong, and the calculation is simple.
An embodiment of the present invention further provides a computer-readable program, where when the program is executed in a wireless signal-based person identification apparatus or an electronic device, the program causes a computer to execute the wireless signal-based person identification method described in embodiment 4 in the wireless signal-based person identification apparatus or the electronic device.
An embodiment of the present invention further provides a storage medium storing a computer-readable program, where the computer-readable program enables a computer to execute the method for identifying a person based on a wireless signal according to embodiment 4 in a device for identifying a person based on a wireless signal or an electronic device.
The method for performing wireless signal based person identification in a wireless signal based person identification apparatus or an electronic device described in connection with the embodiments of the present invention may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. For example, one or more of the functional block diagrams and/or one or more combinations of the functional block diagrams illustrated in fig. 1 may correspond to individual software modules of a computer program flow or may correspond to individual hardware modules. These software modules may correspond to the steps shown in fig. 8, respectively. These hardware modules may be implemented, for example, by solidifying these software modules using a Field Programmable Gate Array (FPGA).
A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. A storage medium may be coupled to the processor such that the processor can read information from, and write information to, the storage medium; or the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. The software module may be stored in the memory of the mobile terminal or in a memory card that is insertable into the mobile terminal. For example, if the apparatus (e.g., mobile terminal) employs a relatively large capacity MEGA-SIM card or a large capacity flash memory device, the software module may be stored in the MEGA-SIM card or the large capacity flash memory device.
One or more of the functional block diagrams and/or one or more combinations of the functional block diagrams described with respect to fig. 1 may be implemented as a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any suitable combination thereof designed to perform the functions described herein. One or more of the functional block diagrams and/or one or more combinations of the functional block diagrams described with respect to fig. 1 may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP communication, or any other such configuration.
While the invention has been described with reference to specific embodiments, it will be apparent to those skilled in the art that these descriptions are illustrative and not intended to limit the scope of the invention. Various modifications and alterations of this invention will become apparent to those skilled in the art based upon the spirit and principles of this invention, and such modifications and alterations are also within the scope of this invention.
With respect to the embodiments including the above embodiments, the following remarks are also disclosed:
1. a person identification apparatus based on wireless signals, the apparatus comprising:
the first calculation unit is used for calculating the movement speed, the track smoothness, the speed richness and the step frequency information of the person to be identified according to wireless reflection signals from the person to be identified in a preset time interval, wherein the speed richness characterizes the difference of the speeds of a plurality of parts of the person to be identified at the same time;
the first identification unit is used for determining a first identification result of the person to be identified according to the movement speed, the trajectory smoothness and the speed richness of the person to be identified;
the second identification unit is used for determining a second identification result of the person to be identified according to the step frequency information of the person to be identified; and
and the first determining unit is used for determining the category of the person to be identified according to the first identification result and the second identification result.
2. The person identification apparatus according to supplementary note 1, wherein,
the first calculation unit includes:
the second calculation unit is used for calculating the distance information and the angle information of the person to be identified according to the wireless reflection signal from the person to be identified in the preset time interval;
the third calculating unit is used for calculating the position information of the person to be identified according to the distance information and the angle information; and
and the fourth calculating unit is used for calculating the movement speed of the person to be identified according to the position information of the person to be identified in a preset time interval.
3. The person identification apparatus according to supplementary note 1, wherein,
the first calculation unit includes:
the second calculation unit is used for calculating the distance information and the angle information of the person to be identified according to the wireless reflection signal from the person to be identified in the preset time interval;
the third calculating unit is used for calculating the position information of the person to be identified according to the distance information and the angle information;
the fifth calculation unit is used for determining the motion track of the person to be identified in a preset time interval according to the position information of the person to be identified in the preset time interval; and
and the sixth calculating unit is used for calculating the smoothness of the track of the person to be identified according to the motion track of the person to be identified in a preset time interval.
4. The person identification apparatus according to supplementary note 1, wherein,
the first calculation unit includes:
the seventh calculating unit is used for calculating the Doppler velocity of the person to be identified according to the wireless reflection signal from the person to be identified in the preset time interval; and
and the eighth calculating unit is used for calculating the speed richness of the person to be identified according to the Doppler speed of the person to be identified.
5. The apparatus according to supplementary note 1, wherein,
the first calculation unit includes:
the second calculation unit is used for calculating the distance information and the angle information of the person to be identified according to the wireless reflection signal from the person to be identified in the preset time interval;
the third calculating unit is used for calculating the position information of the person to be identified according to the distance information and the angle information;
the fourth calculating unit is used for calculating the movement speed of the person to be identified according to the position information of the person to be identified in a preset time interval; and
and the ninth calculating unit is used for calculating the step frequency information of the person to be identified according to the number of the reflection points and the Doppler velocity of the person to be identified.
6. The apparatus according to supplementary note 1, wherein,
the first identification unit determines the grade of the movement speed, the grade of the track smoothness, the grade of the speed richness and the proportion of the movement speed of each grade in the preset time interval according to the movement speed, the track smoothness and the speed richness of the person to be identified, and determines the first identification result of the person to be identified according to the grade of the movement speed, the grade of the track smoothness, the grade of the speed richness and the proportion of the movement speed of each grade in the preset time interval.
7. The apparatus according to supplementary note 1, wherein the first identifying unit includes:
the second determining unit is used for determining whether the movement of the first-level speed exists or not according to the movement speed of the person to be identified in the preset time interval;
a third recognition unit for recognizing, in the absence of motion at the first level speed,
when the proportion of the movement of the second-level speed in the preset time interval is greater than a first threshold value and the movement track has first-level smoothness, or when the proportion of the movement of the second-level speed in the preset time interval is greater than the first threshold value, the movement track has third-level smoothness and the speed richness is a first level, or when the proportions of the movement of the second-level speed and the movement of the third-level speed in the preset time interval are less than or equal to the first threshold value, the movement track has first-level smoothness or second-level smoothness and the speed richness is a first level, determining that the person to be identified is a person with normal action; and
when the proportion of the second-level speed in the preset time interval is larger than the first threshold value, the motion track has third-level smoothness and the speed richness is a second level, or when the proportion of the second-level speed in the preset time interval is less than or equal to the first threshold value and the proportion of the movement of the third-level speed in the preset time interval exceeds the first threshold value, or, when the proportion of the motion of the second grade speed and the motion of the third grade speed in the preset time interval is less than or equal to the first threshold value and the track has third grade smoothness, or when the proportion of the movement of the second-level speed and the movement of the third-level speed in the preset time interval is smaller than or equal to a first threshold value, the movement track has first-level smoothness and the speed richness is a second level, determining that the person to be identified is a person with slow action.
8. The apparatus according to supplementary note 7, wherein the first identifying unit further includes:
a fourth recognition unit for recognizing, in the presence of a motion of a first level speed,
when the number of continuous motion frames of the first level speed in a preset time interval is larger than a second threshold, or when the number of continuous motion frames of the first level speed in the preset time interval is smaller than or equal to the second threshold, the proportion of the motion of the first level speed in the preset time interval is larger than a third threshold, and the proportion of the motion of the second level speed in the preset time interval is larger than a fourth threshold, and the motion track has second-level smoothness or first-level smoothness, or when the number of continuous motion frames of the first level speed in the preset time interval is smaller than or equal to the second threshold, the proportion of the motion of the first level speed in the preset time interval is larger than the third threshold, the proportion of the motion of the second level speed in the preset time interval is larger than the fourth threshold, the motion track has third-level smoothness, and the speed abundance is the first level, or when the number of continuous frames of the motion at the first level speed in a preset time interval is less than or equal to a second threshold, the proportion of the motion at the first level speed in the preset time interval is less than or equal to a third threshold, the motion at the second level speed exists, and the motion track has first level smoothness, determining that the person to be identified is a person with normal action; and
when the number of continuous frames of the motion of the first level speed in the preset time interval is less than or equal to a second threshold, the proportion of the motion of the first level speed in the preset time interval is less than or equal to a third threshold and no motion of the second level speed exists, or when the number of continuous frames of the motion of the first level speed in the preset time interval is less than or equal to the second threshold, the proportion of the motion of the first level speed in the preset time interval is less than or equal to the third threshold, the motion of the second level speed exists, the motion track has third level smoothness and the speed richness is a second level, or when the number of continuous frames of the motion of the first level speed in the preset time interval is less than or equal to the second threshold, the proportion of the motion of the first level speed in the preset time interval is greater than the third threshold, the proportion of the motion of the second level speed in the preset time interval is less than or equal to a fourth threshold, And when the motion track has third-level smoothness and the speed richness is a second level, determining that the person to be identified is a slow-acting person.
9. The apparatus according to supplementary note 4, wherein the first identifying unit includes:
a third determination unit for determining a level of speed richness from the first reference value and the second reference value,
the first reference value is the difference value between the maximum value and the minimum value of the speed richness in the preset time interval, and the second reference value is the number of the speed richness exceeding a preset proportion in the speed richness in the preset time interval.
10. The apparatus according to supplementary note 9, wherein,
the third determining unit determines the speed richness to be the first level when the first reference value is greater than or equal to a fifth threshold, or when the first reference value is less than the fifth threshold, the first reference value is greater than or equal to a sixth threshold, and the second reference value is greater than or equal to the sixth threshold; and
the third determination unit determines the speed richness to be the second level when the first reference value is smaller than a fifth threshold value, and the first reference value is smaller than a sixth threshold value and/or the second reference value is smaller than a sixth threshold value.
11. The apparatus according to supplementary note 1, wherein,
when the step frequency of the person to be identified is smaller than a seventh threshold value, the second identification unit determines that the person to be identified is a person with slow action; and
and when the step frequency of the person to be identified is greater than or equal to a seventh threshold value, the second identification unit determines that the person to be identified is a person with normal action.
12. The apparatus according to supplementary note 1, wherein,
when the first recognition result and the second recognition result are slow-acting persons, the first determining unit determines that the person to be recognized is a slow-acting person; and
when at least one of the first recognition result and the second recognition result is a person who normally acts, the first determination unit determines that the person to be recognized is a person who normally acts.
13. The apparatus according to supplementary note 1, wherein,
the personnel identification device respectively obtains a plurality of identification results of the personnel to be identified according to wireless reflection signals from the personnel to be identified in a plurality of preset time intervals;
the device further comprises:
a fourth determination unit, configured to determine the person to be identified as a slow-acting person when all of the plurality of identification results are slow-acting persons; and when at least one of the plurality of recognition results is a person with normal action, determining the person to be recognized as the person with normal action.
14. A person identification system, the person identification system comprising:
a signal transmitting section that transmits a wireless signal to a space in which a person to be identified is located;
a signal receiving unit that receives a wireless reflected signal; and
the wireless-signal-based person identification apparatus according to any one of supplementary notes 1 to 13, which detects the type of the person to be identified from the received wireless reflection signal.
15. A method for identifying persons based on wireless signals, the method comprising:
calculating the movement speed, the track smoothness, the speed richness and the step frequency information of the person to be identified according to wireless reflection signals from the person to be identified in a preset time interval, wherein the speed richness characterizes the difference of the speeds of a plurality of parts of the person to be identified at the same time;
determining a first identification result of the person to be identified according to the movement speed, the trajectory smoothness and the speed richness of the person to be identified;
determining a second identification result of the person to be identified according to the step frequency information of the person to be identified; and
and determining the category of the person to be identified according to the first identification result and the second identification result.
16. The person identification method according to supplementary note 15, wherein,
the method for calculating the movement speed of the person to be identified according to the wireless reflection signal from the person to be identified in the preset time interval comprises the following steps:
calculating distance information and angle information of the person to be identified according to a wireless reflection signal from the person to be identified in a preset time interval;
calculating the position information of the person to be identified according to the distance information and the angle information; and
and calculating the movement speed of the person to be identified according to the position information of the person to be identified in a preset time interval.
17. The person identification method according to supplementary note 15, wherein,
the method for calculating the track smoothness of the person to be identified according to the wireless reflection signal from the person to be identified in the preset time interval comprises the following steps:
calculating distance information and angle information of the person to be identified according to a wireless reflection signal from the person to be identified in a preset time interval;
calculating the position information of the person to be identified according to the distance information and the angle information;
determining the movement track of the person to be identified in a preset time interval according to the position information of the person to be identified in the preset time interval; and
and calculating the smoothness of the track of the person to be identified according to the motion track of the person to be identified in a preset time interval.
18. The person identification method according to supplementary note 15, wherein,
according to the wireless reflection signal that comes from the personnel of waiting to discern in the preset time interval, calculate the speed abundance of the personnel of waiting to discern, include:
calculating the Doppler velocity of the person to be identified according to a wireless reflection signal from the person to be identified in a preset time interval; and
and calculating the speed richness of the person to be identified according to the Doppler speed of the person to be identified.
19. The method according to supplementary note 15, wherein,
the step frequency information of the personnel to be identified is calculated according to the wireless reflection signals from the personnel to be identified in the preset time interval, and the step frequency information comprises the following steps:
calculating distance information and angle information of the person to be identified according to a wireless reflection signal from the person to be identified in a preset time interval;
calculating the position information of the person to be identified according to the distance information and the angle information;
calculating the movement speed of the person to be identified according to the position information of the person to be identified in a preset time interval; and
and calculating the step frequency information of the personnel to be identified according to the number of the reflection points and the Doppler velocity of the personnel to be identified.
20. The method according to supplementary note 15, wherein,
the determining a first recognition result of the person to be recognized according to the movement speed, the trajectory smoothness and the speed richness of the person to be recognized comprises the following steps:
determining the grade of the movement speed, the grade of the track smoothness, the grade of the speed richness and the proportion of the movement speed of each grade in the preset time interval according to the movement speed, the track smoothness and the speed richness of the person to be identified, and determining a first identification result of the person to be identified according to the grade of the movement speed, the grade of the track smoothness, the grade of the speed richness and the proportion of the movement speed of each grade in the preset time interval.
21. The method according to supplementary note 20, wherein the determining a level of movement speed, a level of trajectory smoothness, a level of speed richness, and a proportion of the movement speed of each level within the preset time interval according to the movement speed, the trajectory smoothness, and the speed richness of the person to be recognized, and determining the first recognition result of the person to be recognized according to the level of movement speed, the level of trajectory smoothness, the level of speed richness, and the proportion of the movement speed of each level within the preset time interval, comprises:
determining whether the person to be identified moves at a first level speed according to the movement speed of the person to be identified within a preset time interval;
in the absence of motion at the first level of speed,
when the proportion of the movement of the second-level speed in the preset time interval is greater than a first threshold value and the movement track has first-level smoothness, or when the proportion of the movement of the second-level speed in the preset time interval is greater than the first threshold value, the movement track has third-level smoothness and the speed richness is a first level, or when the proportions of the movement of the second-level speed and the movement of the third-level speed in the preset time interval are less than or equal to the first threshold value, the movement track has first-level smoothness or second-level smoothness and the speed richness is a first level, determining that the person to be identified is a person with normal action; and
when the proportion of the second-level speed in the preset time interval is larger than the first threshold value, the motion track has third-level smoothness and the speed richness is a second level, or when the proportion of the second-level speed in the preset time interval is less than or equal to the first threshold value and the proportion of the movement of the third-level speed in the preset time interval exceeds the first threshold value, or, when the proportion of the motion of the second grade speed and the motion of the third grade speed in the preset time interval is less than or equal to the first threshold value and the track has third grade smoothness, or when the proportion of the movement of the second-level speed and the movement of the third-level speed in the preset time interval is smaller than or equal to a first threshold value, the movement track has first-level smoothness and the speed richness is a second level, determining that the person to be identified is a person with slow action.
22. The method according to supplementary note 21, wherein the determining a level of movement speed, a level of trajectory smoothness, a level of speed richness, and a proportion of the movement speed of each level within the preset time interval according to the movement speed, the trajectory smoothness, and the speed richness of the person to be recognized, and determining the first recognition result of the person to be recognized according to the level of movement speed, the level of trajectory smoothness, the level of speed richness, and the proportion of the movement speed of each level within the preset time interval, further comprises:
in the presence of motion at a first level of speed,
when the number of continuous motion frames of the first level speed in a preset time interval is larger than a second threshold, or when the number of continuous motion frames of the first level speed in the preset time interval is smaller than or equal to the second threshold, the proportion of the motion of the first level speed in the preset time interval is larger than a third threshold, and the proportion of the motion of the second level speed in the preset time interval is larger than a fourth threshold, and the motion track has second-level smoothness or first-level smoothness, or when the number of continuous motion frames of the first level speed in the preset time interval is smaller than or equal to the second threshold, the proportion of the motion of the first level speed in the preset time interval is larger than the third threshold, the proportion of the motion of the second level speed in the preset time interval is larger than the fourth threshold, the motion track has third-level smoothness, and the speed abundance is the first level, or when the number of continuous frames of the motion at the first level speed in a preset time interval is less than or equal to a second threshold, the proportion of the motion at the first level speed in the preset time interval is less than or equal to a third threshold, the motion at the second level speed exists, and the motion track has first level smoothness, determining that the person to be identified is a person with normal action; and
when the number of continuous frames of the motion of the first level speed in the preset time interval is less than or equal to a second threshold, the proportion of the motion of the first level speed in the preset time interval is less than or equal to a third threshold and no motion of the second level speed exists, or when the number of continuous frames of the motion of the first level speed in the preset time interval is less than or equal to the second threshold, the proportion of the motion of the first level speed in the preset time interval is less than or equal to the third threshold, the motion of the second level speed exists, the motion track has third level smoothness and the speed richness is a second level, or when the number of continuous frames of the motion of the first level speed in the preset time interval is less than or equal to the second threshold, the proportion of the motion of the first level speed in the preset time interval is greater than the third threshold, the proportion of the motion of the second level speed in the preset time interval is less than or equal to a fourth threshold, And when the motion track has third-level smoothness and the speed richness is a second level, determining that the person to be identified is a slow-acting person.
23. The method of supplementary note 18, wherein the method further comprises:
determining a level of speed richness based on the first reference value and the second reference value,
the first reference value is the difference value between the maximum value and the minimum value of the speed richness in the preset time interval, and the second reference value is the number of the speed richness exceeding a preset proportion in the speed richness in the preset time interval.
24. The method of supplementary note 23, wherein said determining a level of speed richness from a first reference value and a second reference value comprises:
determining the speed richness as a first level when the first reference value is greater than or equal to a fifth threshold value, or when the first reference value is less than the fifth threshold value, the first reference value is greater than or equal to a sixth threshold value, and the second reference value is greater than or equal to the sixth threshold value; and
and when the first reference value is smaller than a fifth threshold value, and the first reference value is smaller than a sixth threshold value and/or the second reference value is smaller than a sixth threshold value, determining the speed richness as a second level.
25. The method according to supplementary note 15, wherein the determining a second recognition result of the person to be recognized according to the step frequency information of the person to be recognized includes:
when the step frequency of the person to be identified is smaller than a seventh threshold value, determining that the person to be identified is a person with slow action; and
and when the step frequency of the person to be identified is greater than or equal to a seventh threshold value, determining that the person to be identified is a person with normal action.
26. The method according to supplementary note 15, wherein the determining the category of the person to be identified according to the first identification result and the second identification result comprises:
when the first recognition result and the second recognition result are slow-acting persons, determining that the person to be recognized is a slow-acting person; and
and when at least one of the first recognition result and the second recognition result is a person with normal action, determining that the person to be recognized is the person with normal action.
27. The method according to supplementary note 15, wherein,
respectively obtaining a plurality of identification results of the personnel to be identified according to wireless reflection signals from the personnel to be identified in a plurality of preset time intervals;
when the plurality of recognition results are all slow-moving persons, determining the persons to be recognized as slow-moving persons;
and when at least one of the plurality of recognition results is a person with normal action, determining the person to be recognized as the person with normal action.

Claims (10)

1. A person identification apparatus based on wireless signals, the apparatus comprising:
the first calculation unit is used for calculating the movement speed, the track smoothness, the speed richness and the step frequency information of the person to be identified according to wireless reflection signals from the person to be identified in a preset time interval, wherein the speed richness characterizes the difference of the speeds of a plurality of parts of the person to be identified at the same time;
the first identification unit is used for determining a first identification result of the person to be identified according to the movement speed, the trajectory smoothness and the speed richness of the person to be identified;
the second identification unit is used for determining a second identification result of the person to be identified according to the step frequency information of the person to be identified; and
and the first determining unit is used for determining the category of the person to be identified according to the first identification result and the second identification result.
2. The apparatus of claim 1, wherein,
the first identification unit determines the grade of the movement speed, the grade of the track smoothness, the grade of the speed richness and the proportion of the movement speed of each grade in the preset time interval according to the movement speed, the track smoothness and the speed richness of the person to be identified, and determines the first identification result of the person to be identified according to the grade of the movement speed, the grade of the track smoothness, the grade of the speed richness and the proportion of the movement speed of each grade in the preset time interval.
3. The apparatus of claim 2, wherein the first identifying unit comprises:
the second determining unit is used for determining whether the movement of the first-level speed exists or not according to the movement speed of the person to be identified in the preset time interval;
a third recognition unit for recognizing, in the absence of motion at the first level speed,
when the proportion of the movement of the second-level speed in the preset time interval is greater than a first threshold value and the movement track has first-level smoothness, or when the proportion of the movement of the second-level speed in the preset time interval is greater than the first threshold value, the movement track has third-level smoothness and the speed richness is a first level, or when the proportions of the movement of the second-level speed and the movement of the third-level speed in the preset time interval are less than or equal to the first threshold value, the movement track has first-level smoothness or second-level smoothness and the speed richness is a first level, determining that the person to be identified is a person with normal action; and
when the proportion of the second-level speed in the preset time interval is larger than the first threshold value, the motion track has third-level smoothness and the speed richness is a second level, or when the proportion of the second-level speed in the preset time interval is less than or equal to the first threshold value and the proportion of the movement of the third-level speed in the preset time interval exceeds the first threshold value, or, when the proportion of the motion of the second grade speed and the motion of the third grade speed in the preset time interval is less than or equal to the first threshold value and the track has third grade smoothness, or when the proportion of the movement of the second-level speed and the movement of the third-level speed in the preset time interval is smaller than or equal to a first threshold value, the movement track has first-level smoothness and the speed richness is a second level, determining that the person to be identified is a person with slow action.
4. The apparatus of claim 3, wherein the first identifying unit further comprises:
a fourth recognition unit for recognizing, in the presence of a motion of a first level speed,
when the number of continuous motion frames of the first level speed in a preset time interval is larger than a second threshold, or when the number of continuous motion frames of the first level speed in the preset time interval is smaller than or equal to the second threshold, the proportion of the motion of the first level speed in the preset time interval is larger than a third threshold, and the proportion of the motion of the second level speed in the preset time interval is larger than a fourth threshold, and the motion track has second-level smoothness or first-level smoothness, or when the number of continuous motion frames of the first level speed in the preset time interval is smaller than or equal to the second threshold, the proportion of the motion of the first level speed in the preset time interval is larger than the third threshold, the proportion of the motion of the second level speed in the preset time interval is larger than the fourth threshold, the motion track has third-level smoothness, and the speed abundance is the first level, or when the number of continuous frames of the motion at the first level speed in a preset time interval is less than or equal to a second threshold, the proportion of the motion at the first level speed in the preset time interval is less than or equal to a third threshold, the motion at the second level speed exists, and the motion track has first level smoothness, determining that the person to be identified is a person with normal action; and
when the number of continuous frames of the motion of the first level speed in the preset time interval is less than or equal to a second threshold, the proportion of the motion of the first level speed in the preset time interval is less than or equal to a third threshold and no motion of the second level speed exists, or when the number of continuous frames of the motion of the first level speed in the preset time interval is less than or equal to the second threshold, the proportion of the motion of the first level speed in the preset time interval is less than or equal to the third threshold, the motion of the second level speed exists, the motion track has third level smoothness and the speed richness is a second level, or when the number of continuous frames of the motion of the first level speed in the preset time interval is less than or equal to the second threshold, the proportion of the motion of the first level speed in the preset time interval is greater than the third threshold, the proportion of the motion of the second level speed in the preset time interval is less than or equal to a fourth threshold, And when the motion track has third-level smoothness and the speed richness is a second level, determining that the person to be identified is a slow-acting person.
5. The person identification device according to claim 1,
the first calculation unit includes:
the seventh calculating unit is used for calculating the Doppler velocity of the person to be identified according to the wireless reflection signal from the person to be identified in the preset time interval; and
and the eighth calculating unit is used for calculating the speed richness of the person to be identified according to the Doppler speed of the person to be identified.
6. The apparatus of claim 5, wherein the first identifying unit comprises:
a third determination unit for determining a level of speed richness from the first reference value and the second reference value,
the first reference value is the difference value between the maximum value and the minimum value of the speed richness in the preset time interval, and the second reference value is the number of the speed richness exceeding a preset proportion in the speed richness in the preset time interval.
7. The apparatus of claim 6, wherein,
the third determining unit determines the speed richness to be the first level when the first reference value is greater than or equal to a fifth threshold, or when the first reference value is less than the fifth threshold, the first reference value is greater than or equal to a sixth threshold, and the second reference value is greater than or equal to the sixth threshold; and
the third determination unit determines the speed richness to be the second level when the first reference value is smaller than a fifth threshold value, and the first reference value is smaller than a sixth threshold value and/or the second reference value is smaller than a sixth threshold value.
8. The apparatus of claim 1, wherein,
when the step frequency of the person to be identified is smaller than a seventh threshold value, the second identification unit determines that the person to be identified is a person with slow action; and
and when the step frequency of the person to be identified is greater than or equal to a seventh threshold value, the second identification unit determines that the person to be identified is a person with normal action.
9. The apparatus of claim 1, wherein,
when the first recognition result and the second recognition result are slow-acting persons, the first determining unit determines that the person to be recognized is a slow-acting person; and
when at least one of the first recognition result and the second recognition result is a person who normally acts, the first determination unit determines that the person to be recognized is a person who normally acts.
10. The apparatus of claim 1, wherein,
the personnel identification device respectively obtains a plurality of identification results of the personnel to be identified according to wireless reflection signals from the personnel to be identified in a plurality of preset time intervals;
the device further comprises:
a fourth determination unit, configured to determine the person to be identified as a slow-acting person when all of the plurality of identification results are slow-acting persons; and when at least one of the plurality of recognition results is a person with normal action, determining the person to be recognized as the person with normal action.
CN202010017516.2A 2020-01-08 2020-01-08 Personnel identification device, method and system based on wireless signals Pending CN113096791A (en)

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