CN114114250A - Human body posture recognition millimeter wave radar system - Google Patents

Human body posture recognition millimeter wave radar system Download PDF

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Publication number
CN114114250A
CN114114250A CN202111317936.3A CN202111317936A CN114114250A CN 114114250 A CN114114250 A CN 114114250A CN 202111317936 A CN202111317936 A CN 202111317936A CN 114114250 A CN114114250 A CN 114114250A
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module
model
recognition
electrically connected
data
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王力宝
娄军飞
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Wuhan Xinjiesite Technology Co ltd
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Wuhan Xinjiesite Technology Co ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88—Radar or analogous systems specially adapted for specific applications
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/66—Radar-tracking systems; Analogous systems
    • G01S13/72—Radar-tracking systems; Analogous systems for two-dimensional tracking, e.g. combination of angle and range tracking, track-while-scan radar
    • G01S13/723—Radar-tracking systems; Analogous systems for two-dimensional tracking, e.g. combination of angle and range tracking, track-while-scan radar by using numerical data
    • G01S13/726—Multiple target tracking
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
    • G01S7/415—Identification of targets based on measurements of movement associated with the target

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  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Physics & Mathematics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • General Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • Radar Systems Or Details Thereof (AREA)

Abstract

The invention discloses a millimeter wave radar system for recognizing human body gestures, which relates to the technical field of gesture recognition, and has the advantages of low effect and poor precision when the human body gestures are recognized at present, so that the information after the human body gestures are recognized is not perfect, and the labor intensity of workers can be increased. This human gesture recognition millimeter wave radar system can carry out fine discernment work to the gesture of human body, and can guarantee identification signal's stability, and then guarantees the accuracy nature that gesture characteristic drawed, reduces the interference that the environment caused the identification process, and then has reduced artificial intensity of labour.

Description

Human body posture recognition millimeter wave radar system
Technical Field
The invention relates to the technical field of gesture recognition, in particular to a human body gesture recognition millimeter wave radar system.
Background
Millimeter wave radar usually uses millimeter waves in the frequency domain of 30 to 300GHz (wavelength of 1 to 10 mm). The wavelength of the millimeter wave is between the centimeter wave and the light wave, so the millimeter wave has the advantages of microwave guidance and photoelectric guidance. Compared with the centimeter wave seeker, the millimeter wave seeker has the characteristics of small volume, light weight and high spatial resolution. Compared with optical probes such as infrared, laser, television and the like, the millimeter wave probe has strong capability of penetrating fog, smoke and dust, has the characteristics of all weather (except heavy rainy days) all day long, and is usually used for identifying the information of the posture of a human body at present.
However, when the human body posture is recognized at present, the effect is low, the precision is poor, so that the information after the human body posture is recognized is not perfect, the labor intensity of workers can be increased, and the defect is not correspondingly improved.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a human body posture recognition millimeter wave radar system, which solves the problems that the effect is low and the precision is poor when the human body posture is recognized at present, so that the information after the human body posture is recognized is not perfect, and the labor intensity of workers is increased.
In order to achieve the purpose, the invention is realized by the following technical scheme: the millimeter wave radar system for recognizing the human body posture comprises a central processing unit, a recognition system and a processing system, wherein the recognition system is used for recognizing the human body posture, and the processing system is used for processing recognized data.
The identification system comprises a positioning tracking module, a transmitting signal module, an echo signal module, a signal amplification module, an intermediate frequency signal module, a feature extraction module, a spatial variation module, an identification algorithm module and a result output module, wherein the positioning tracking module is used for tracking a path, the transmitting signal module is used for transmitting a radar signal, the echo signal module is used for amplifying an echo of the signal, the signal amplification module is used for amplifying the signal, the intermediate frequency signal module is used for converting a high-frequency signal into an intermediate frequency signal, the feature extraction module is used for extracting attitude feature information, the spatial variation module is used for extracting attitude information spatial variation, the identification algorithm module carries out calculation and identification according to attitude variation information, and the result output module is used for outputting an identified result.
Preferably, the localization tracking module is electrically connected with the emission signal module, the emission signal module is electrically connected with the echo signal module, the echo signal module is electrically connected with the signal amplification module, the signal amplification module is electrically connected with the intermediate frequency signal module, the intermediate frequency signal module is electrically connected with the feature extraction module, the feature extraction module is electrically connected with the spatial variation module, the spatial variation module is electrically connected with the recognition algorithm module, and the recognition algorithm module is electrically connected with the result output module.
Preferably, the algorithm formula of the identification algorithm module is as follows:
Figure BDA0003344413150000021
preferably, in the algorithm formula, R is the distance from the radar to the reference point, f is the frequency of the radar transmission signal, and SkAnd the intensity of the Kth scattering center, c the speed of the electromagnetic wave, theta the azimuth angle of the target and the position coordinate of the center of the Kth scattering point.
Preferably, the processing system comprises a data receiving module, a data analyzing module, a model system, a data comparing module, a database, a posture judging module and an automatic classifying module, the data receiving module is electrically connected with the data analyzing module, the data analyzing module is respectively electrically connected with the model system and the data comparing module, the database is electrically connected with the data comparing module, the data comparing module is electrically connected with the posture judging module, and the posture judging module is electrically connected with the automatic classifying module.
Preferably, the data receiving module is configured to receive the identified information data, the data analyzing module is configured to analyze the data, the model system is configured to establish a model, the database is configured to store data information of human body gestures, the data comparing module is configured to compare the identified gestures with the gestures in the database for analysis, the gesture determining module is configured to determine the gesture information, and the automatic classifying module is configured to classify the gesture information.
Preferably, the model system comprises a target determination module, a model establishment module, a model demonstration module, a cloud computing module, an automatic matching module and an automatic matching module, the target determination module is electrically connected with the model establishment module, the model establishment module is electrically connected with the model demonstration module, the model demonstration module is electrically connected with the cloud computing module, the cloud computing module is electrically connected with the automatic matching module, and the automatic matching module is electrically connected with the automatic imaging module.
Preferably, the target determination module is used for determining a target, the model establishment module is used for establishing a model, the model demonstration module is used for demonstrating the established model, the cloud computing module is used for carrying out cloud computing on the demonstrated model, the automatic matching module is used for matching the computed data with the identified data, and the automatic imaging module displays the matched information.
Preferably, the calculation formula of the cloud computing module is as follows:
Figure BDA0003344413150000031
preferably, in the formula,
Figure BDA0003344413150000032
is the weight from the jth to kth of the J-th layer, and Σ is the connection of all the outputs of the J-th layer to K.
Advantageous effects
The invention provides a human body posture recognition millimeter wave radar system, which has the following beneficial effects compared with the prior art:
1. this human gesture recognition millimeter wave radar system can carry out fine discernment work to the gesture of human body, and can guarantee identification signal's stability, and then guarantees the accuracy nature that gesture characteristic drawed, reduces the interference that the environment caused the identification process, and then has reduced artificial intensity of labour.
2. The millimeter wave radar system for recognizing the human body posture can automatically establish a model, so that a mode of combining data and the model can be demonstrated according to the human body posture, the data and the model are matched with each other, and the recognition accuracy is further ensured.
Drawings
FIG. 1 is a functional block diagram of the present invention;
FIG. 2 is a functional block diagram of the identification system of the present invention;
FIG. 3 is a functional block diagram of the processing system of the present invention;
FIG. 4 is a functional block diagram of a model system of the present invention;
fig. 5 is a flow chart of the present invention.
In the figure: 1. a central processing unit; 2. an identification system; 21. a positioning and tracking module; 22. a signal transmitting module; 23. an echo signal module; 24. a signal amplification module; 25. an intermediate frequency signal module; 26. a feature extraction module; 27. a spatial variation module; 28. identifying an algorithm module; 29. a result output module; 3. a processing system; 31. a data receiving module; 32. a data analysis module; 33. a model system; 331. a target determination module; 332. a model building module; 333. a model demonstration module; 334. a cloud computing module; 335. an automatic matching module; 336. an automatic imaging module; 34. a data comparison module; 35. a database; 36. a posture judgment module; 37. and an automatic classification module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: a human body posture recognition millimeter wave radar system comprises a central processing unit 1, a recognition system 2 and a processing system 3, wherein the recognition system 2 is used for recognizing human body postures, and the processing system 3 is used for processing recognized data.
Referring to fig. 2, in the embodiment of the present invention, the identification system 2 includes a positioning tracking module 21, a signal transmitting module 22, an echo signal module 23, a signal amplifying module 24, an intermediate frequency signal module 25, a feature extracting module 26, a spatial variation module 27, an identification algorithm module 28, and a result output module 29, where the positioning tracking module 21 is configured to track a path, the signal transmitting module 22 is configured to transmit a radar signal, the echo signal module 23 is configured to echo a signal, the signal amplifying module 24 is configured to amplify a signal, the intermediate frequency signal module 25 is configured to convert a high frequency signal into an intermediate frequency signal, the feature extracting module 26 is configured to extract pose feature information, the spatial variation module 27 is configured to extract spatial variation of pose information, the identification algorithm module 28 performs calculation identification according to the pose variation information, and the result output module 29 is configured to output an identification result, the localization tracking module 21 is electrically connected to the emission signal module 22, the emission signal module 22 is electrically connected to the echo signal module 23, the echo signal module 23 is electrically connected to the signal amplification module 24, the signal amplification module 24 is electrically connected to the intermediate frequency signal module 25, the intermediate frequency signal module 25 is electrically connected to the feature extraction module 26, the feature extraction module 26 is electrically connected to the spatial variation module 27, the spatial variation module 27 is electrically connected to the recognition algorithm module 28, the recognition algorithm module 28 is electrically connected to the result output module 29, and the algorithm formula of the recognition algorithm module 28 is as follows:
Figure BDA0003344413150000051
in the algorithm formula, R is the distance from the radar to a reference point, f is the frequency of a signal transmitted by the radar, and SkIs the intensity of the Kth scattering center, c is the velocity of the electromagnetic wave, θ is the target azimuth, XK，YKIs the position coordinate of the center of the Kth scattering point.
Referring to fig. 3, in the embodiment of the present invention, the processing system 3 includes a data receiving module 31, a data analyzing module 32, a model system 33, a data comparing module 34, a database 35, a posture determining module 36, and an automatic classifying module 37, the data receiving module 31 is electrically connected to the data analyzing module 32, the data analyzing module 32 is electrically connected to the model system 33 and the data comparing module 34, the database 35 is electrically connected to the data comparing module 34, the data comparing module 34 is electrically connected to the posture determining module 36, the posture determining module 36 is electrically connected to the automatic classifying module 37, the data receiving module 31 is configured to receive recognized information data, the data analyzing module 32 is configured to analyze data, the model system 33 is configured to establish a model, the database 35 is configured to store data information of human body postures, the data comparing module 34 is configured to compare and analyze recognized postures with postures in the database 35, the posture judging module 36 is used for judging the information of the posture, and the automatic classifying module 37 is used for classifying the posture information.
Referring to fig. 4, in the embodiment of the present invention, the model system 33 includes a target determining module 331, a model establishing module 332, a model demonstration module 333, a cloud computing module 334, an automatic matching module 335, and an automatic matching module 335, the target determining module 331 is electrically connected to the model establishing module 332, the model establishing module 332 is electrically connected to the model demonstration module 333, the model demonstration module 333 is electrically connected to the cloud computing module 334, the cloud computing module 334 is electrically connected to the automatic matching module 335, the automatic matching module 335 is electrically connected to the automatic imaging module 336, the target determining module 331 is configured to determine a target, the model establishing module 332 is configured to establish a model, the model demonstration module 333 is configured to demonstrate the established model, the cloud computing module 334 is configured to perform cloud computing on the demonstrated model, the automatic matching module 335 is configured to match the computed data with the identified data, the automatic imaging module 336 displays the matched information, and the calculation formula of the cloud calculation module 334 is as follows:
Figure BDA0003344413150000061
in the formula, the first step is that,
Figure BDA0003344413150000062
is the weight from the jth to kth of the J-th layer, and Σ is the connection of all the outputs of the J-th layer to K.
And those not described in detail in this specification are well within the skill of those in the art.
The working principle is as follows: referring to fig. 5, in the embodiment of the present invention, the positioning and tracking module 21 is configured to track a path, the signal transmitting module 22 is configured to transmit a radar signal, the echo signal module 23 is configured to transmit an echo of the signal, the signal amplifying module 24 is configured to amplify the signal, the intermediate frequency signal module 25 is configured to convert a high-frequency signal into an intermediate frequency signal, the feature extracting module 26 is configured to extract pose feature information, the spatial variation module 27 is configured to extract spatial variation of the pose information, the recognition algorithm module 28 performs calculation and recognition according to the information of the pose variation, the result output module 29 is configured to output a recognition result, the data receiving module 31 is configured to receive recognized information data, the data analyzing module 32 is configured to analyze the data, the model system 33 is configured to establish a model, the database 35 is configured to store data information of a human pose, the data comparing module 34 is configured to compare and analyze the recognized pose with a pose in the database 35, the gesture judging module 36 is used for judging gesture information, the automatic classifying module 37 is used for classifying gesture information, the target determining module 331 is used for determining a target, the model establishing module 332 is used for establishing a model, the model demonstrating module 333 is used for demonstrating the established model, the cloud computing module 334 is used for carrying out cloud computing on the demonstrated model, the automatic matching module 335 is used for matching computed data with recognized data, and the automatic imaging module 336 is used for displaying the matched information.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.

Claims (10)

1. The utility model provides a human gesture discernment millimeter wave radar system which characterized in that: the human body posture recognition system comprises a central processing unit (1), a recognition system (2) and a processing system (3), wherein the recognition system (2) is used for recognizing human body postures, and the processing system (3) is used for processing recognized data;
the identification system (2) comprises a positioning tracking module (21), a signal transmitting module (22), an echo signal module (23), a signal amplifying module (24), an intermediate frequency signal module (25), a feature extracting module (26), a spatial variation module (27), an identification algorithm module (28) and a result output module (29), wherein the positioning tracking module (21) is used for tracking a path, the signal transmitting module (22) is used for transmitting radar signals, the echo signal transmitting module (23) is used for transmitting echoes of the signals, the signal amplifying module (24) is used for amplifying the signals, the intermediate frequency signal module (25) is used for converting high-frequency signals into intermediate frequency signals, the feature extracting module (26) is used for extracting attitude feature information, and the spatial variation module (27) is used for extracting attitude information spatial variation, the recognition algorithm module (28) performs calculation recognition according to the posture change information, and the result output module (29) is used for outputting a recognition result.
2. The human-body-posture-recognition millimeter-wave radar system of claim 1, wherein: the system comprises a positioning tracking module (21) and a transmitting signal module (22) which are electrically connected, the transmitting signal module (22) and an echo signal module (23) which are electrically connected, the echo signal module (23) and a signal amplification module (24) which are electrically connected, the signal amplification module (24) and an intermediate frequency signal module (25) which are electrically connected, the intermediate frequency signal module (25) and a feature extraction module (26) which are electrically connected, the feature extraction module (26) and a space variation module (27) which are electrically connected, the space variation module (27) and an identification algorithm module (28) which are electrically connected, and the identification algorithm module (28) and a result output module (29) which are electrically connected.
3. The human-body-posture-recognition millimeter-wave radar system of claim 1, wherein: the algorithm formula of the identification algorithm module (28) is as follows:
Figure FDA0003344413140000011
4. the human-body-posture-recognition millimeter-wave radar system according to claim 3, wherein: in the algorithm formula, R is the distance from the radar to a reference point, f is the frequency of a signal transmitted by the radar, and SkIs the intensity of the Kth scattering center, c is the velocity of the electromagnetic wave, θ is the target azimuth angle, (X)K，YK) Is the position coordinate of the center of the Kth scattering point.
5. The human-body-posture-recognition millimeter-wave radar system of claim 1, wherein: processing system (3) is including data receiving module (31) and data analysis module (32), model system (33), data comparison module (34), database (35), gesture judgment module (36) and automatic classification module (37), data receiving module (31) and data analysis module (32) electric connection, data analysis module (32) respectively with model system (33) and data comparison module (34) electric connection, database (35) and data comparison module (34) electric connection, data comparison module (34) and gesture judgment module (36) electric connection, gesture judgment module (36) and automatic classification module (37) electric connection.
6. The human-body-posture-recognition millimeter-wave radar system of claim 5, wherein: the data receiving module (31) is used for receiving the identified information data, the data analyzing module (32) is used for analyzing the data, the model system (33) is used for establishing a model, the database (35) is used for storing data information of human body postures, the data comparing module (34) is used for comparing and analyzing the identified postures with the postures in the database (35), the posture judging module (36) is used for judging the information of the postures, and the automatic classifying module (37) is used for classifying the posture information.
7. The human-body-posture-recognition millimeter-wave radar system of claim 1, wherein: the model system (33) comprises a target determination module (331), a model establishment module (332), a model demonstration module (333), a cloud computing module (334), an automatic matching module (335) and an automatic matching module (335), wherein the target determination module (331) is electrically connected with the model establishment module (332), the model establishment module (332) is electrically connected with the model demonstration module (333), the model demonstration module (333) is electrically connected with the cloud computing module (334), the cloud computing module (334) is electrically connected with the automatic matching module (335), and the automatic matching module (335) is electrically connected with the automatic imaging module (336).
8. The human-body-posture-recognition millimeter-wave radar system of claim 7, wherein: the target determining module (331) is used for determining a target, the model establishing module (332) is used for establishing a model, the model demonstrating module (333) is used for demonstrating the established model, the cloud computing module (334) is used for carrying out cloud computing on the demonstrated model, the automatic matching module (335) is used for matching the computed data with the identified data, and the automatic imaging module (336) displays the matched information.
9. The human-body-posture-recognition millimeter-wave radar system of claim 7, wherein: the calculation formula of the cloud computing module (334) is as follows:
Figure FDA0003344413140000031
10. the human-body-posture-recognition millimeter-wave radar system of claim 9, wherein: in the formula, the first and second groups of the formula,
Figure FDA0003344413140000032
is the weight from the jth to kth of the J-th layer, and Σ is the connection of all the outputs of the J-th layer to K.
CN202111317936.3A 2021-11-09 2021-11-09 Human body posture recognition millimeter wave radar system Pending CN114114250A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117148309A (en) * 2023-11-01 2023-12-01 德心智能科技(常州)有限公司 Millimeter wave radar human body sensing method and system applied to community grid inspection

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117148309A (en) * 2023-11-01 2023-12-01 德心智能科技(常州)有限公司 Millimeter wave radar human body sensing method and system applied to community grid inspection
CN117148309B (en) * 2023-11-01 2024-01-30 德心智能科技(常州)有限公司 Millimeter wave radar human body sensing method and system applied to community grid inspection

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