CN114732375A - Method, device, computer program product and storage medium for detecting motion information - Google Patents
Method, device, computer program product and storage medium for detecting motion information Download PDFInfo
- Publication number
- CN114732375A CN114732375A CN202210214492.9A CN202210214492A CN114732375A CN 114732375 A CN114732375 A CN 114732375A CN 202210214492 A CN202210214492 A CN 202210214492A CN 114732375 A CN114732375 A CN 114732375A
- Authority
- CN
- China
- Prior art keywords
- information
- motion
- target
- motion information
- human body
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/725—Details of waveform analysis using specific filters therefor, e.g. Kalman or adaptive filters
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7253—Details of waveform analysis characterised by using transforms
- A61B5/7257—Details of waveform analysis characterised by using transforms using Fourier transforms
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Physiology (AREA)
- Physics & Mathematics (AREA)
- Biomedical Technology (AREA)
- Surgery (AREA)
- Veterinary Medicine (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Animal Behavior & Ethology (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Artificial Intelligence (AREA)
- Signal Processing (AREA)
- Psychiatry (AREA)
- Cardiology (AREA)
- Mathematical Physics (AREA)
- Pulmonology (AREA)
- Dentistry (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The invention discloses a method, a device, a computer program product and a storage medium for detecting motion information, wherein the method comprises the following steps: receiving a first reflection signal corresponding to a first radar signal transmitted by the detection equipment; determining position information and point cloud speed information of a human body according to the first reflection signal; inputting the position information and the point cloud speed information into a pre-trained human motion model to obtain motion information, wherein the motion information comprises first motion data of a target body part and second motion data of other body parts except the target body part; the second motion data are filtered based on the preset filtering frequency, and the target respiration characteristic and the target heart rate characteristic are obtained according to the first motion data, so that the problem that the heart rate and respiration information are difficult to extract in the motion process is solved, and the measurement precision of the heart rate and respiration information is improved.
Description
Technical Field
The present invention relates to the field of information processing technologies, and in particular, to a method, an apparatus, a computer program product, and a storage medium for detecting motion information.
Background
The respiration and the heart rate of the human body are vital sign indexes, and according to the vital sign indexes, the exercise amount can be objectively evaluated, and the exercise can be more accurately guided. At present, a technology for measuring heart rate and respiration through a millimeter wave radar exists, but measurement is mainly performed on a resting human body. The main mechanism of the millimeter wave radar for measuring heart rate and respiration is to measure the micro-movement of the body caused by heartbeat and respiration, and the heart rate and the respiration are extracted through signal processing and software algorithm. Because the human motion amplitude is great in the motion, the tiny vibration caused by the heart rate and the respiration is easily covered by the large-amplitude motion of other parts of the body, so that the extraction of the heart rate and the respiration information is difficult, and the detection precision of the heart rate and the respiration is seriously influenced.
Disclosure of Invention
The embodiment of the application aims to improve the detection precision of heart rate and respiratory information by providing a motion information detection method, motion information detection equipment, a computer program product and a storage medium.
The embodiment of the application provides a method for detecting motion information, which comprises the following steps:
receiving a first reflection signal corresponding to a first radar signal transmitted by the detection equipment;
determining position information and point cloud speed information of a human body according to the first reflection signal;
inputting the position information and the point cloud speed information into a pre-trained human motion model to obtain motion information, wherein the motion information comprises first motion data of a target body part and second motion data of other body parts except the target body part;
and filtering the second motion data based on a preset filtering frequency, and obtaining a target respiration characteristic and a target heart rate characteristic according to the first motion data.
In one embodiment, the step of determining the position information of the human body and the point cloud speed information according to the first reflection signal comprises:
acquiring the round trip time of the first radar signal, the height of the detection device and a scanning angle, wherein the round trip time of the first radar signal is determined by the transmitting time of the first radar signal and the receiving time of the first reflection signal;
determining the distance between the detection equipment and each human body surface reflection point according to the round trip time and a preset propagation speed;
determining the position information of the human body according to the distance, the height and the scanning angle;
acquiring the transmitting frequency and the phase of the first radar signal transmitted by the detection equipment and the reflecting frequency and the phase of the first reflection signal;
and determining point cloud speed information corresponding to the reflecting points on the surface of the human body according to the transmitting frequency and the phase of the first radar signal and the reflecting frequency and the phase of the first reflection signal.
In an embodiment, the step of inputting the position information and the point cloud speed information into a pre-trained human motion model to obtain motion information includes:
acquiring the distribution condition of the position information in a three-dimensional space coordinate system;
and determining motion information according to the distribution condition and the point cloud speed information corresponding to the reflecting points on the surface of the human body.
In an embodiment, the step of obtaining the target respiration characteristic and the target heart rate characteristic according to the first motion data includes:
sequentially carrying out distance Fourier transform, Doppler Fourier transform and arrival angle analysis on the first motion data to obtain the spatial position and radial velocity information of the reflection point;
obtaining respiratory characteristics and heart rate characteristics from the spatial position of the reflection point and the radial velocity information based on a filtering and screening mode;
and carrying out peak value capture on the respiration characteristic and the heart rate characteristic to obtain a target respiration characteristic and a target heart rate characteristic.
In one embodiment, the step of determining the position information of the human body and the point cloud speed information according to the first reflection signal comprises:
preprocessing the first reflection signal;
and determining the position information and the point cloud speed information of the human body according to the preprocessed first reflection signal.
In one embodiment, the pre-processing comprises in sequence: amplification processing, mixing processing, filtering processing, distance Fourier transform processing, phase extraction processing, phase unwrapping processing and constant false alarm rate detection.
In an embodiment, the step of filtering the second motion data based on a preset filtering frequency and obtaining a target respiration characteristic and a target heart rate characteristic according to the first motion data includes:
acquiring the position of a target body part;
determining a transmitting direction according to the position of the target body part;
transmitting the second radar signal based on the transmit direction;
receiving a second reflection signal corresponding to the second radar signal transmitted by the detection equipment;
and obtaining a target respiration characteristic and a target heart rate characteristic corresponding to the target body part according to the second reflection signal.
In addition, to achieve the above object, the present invention also provides a detection apparatus comprising: the motion information detection method comprises a memory, a processor and a motion information detection program which is stored on the memory and can run on the processor, wherein the steps of the motion information detection method are realized when the motion information detection program is executed by the processor.
Further, to achieve the above object, the present invention also provides a storage medium having stored thereon a detection program of motion information, which when executed by a processor, realizes the steps of the above detection method of motion information.
In addition, to achieve the above object, the present invention also provides a computer program product including a detection program of motion information, which when executed by a processor, realizes the steps of the detection method of motion information described above.
According to the technical scheme of the motion information detection method, the motion information detection device, the motion information detection computer program product and the motion information storage medium, due to the fact that the first reflection signal corresponding to the first radar signal transmitted by the detection device is received; determining position information and point cloud speed information of a human body according to the first reflection signal; inputting the position information and the point cloud speed information into a pre-trained human motion model to obtain motion information, wherein the motion information comprises first motion data of a target body part and second motion data of other body parts except the target body part; based on preset filtering frequency will second motion data filtering, and according to first motion data obtains target breathing characteristic and target rhythm of the heart characteristic technical scheme, owing to can obtain the position of motion information and target health position according to human motion model, after deleting the first motion data of other health positions, thereby can carry out analysis to the second motion data of this target health position and extract rhythm of the heart information and breathing information, thereby solve the problem that rhythm of the heart and breathing information extraction difficulty in the motion process, improve rhythm of the heart and breathing information's measurement accuracy.
Drawings
FIG. 1 is a schematic diagram of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a motion information detecting method according to a first embodiment of the present invention;
FIG. 3 is a detailed flowchart of step S120 of the method for detecting motion information according to the first embodiment of the present invention;
FIG. 4 is a detailed flowchart of step S140 of the method for detecting motion information according to the first embodiment of the present invention;
FIG. 5 is a flowchart illustrating another detailed step S120 of the motion information detection method according to the first embodiment of the present invention;
fig. 6 is a flowchart illustrating the motion information detection method according to the first embodiment of the present invention after step S140.
The objects, features, and advantages of the present invention will be further explained with reference to the accompanying drawings, which are an illustration of one embodiment, and not an entirety of the invention.
Detailed Description
For a better understanding of the above technical solutions, exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
As shown in fig. 1, fig. 1 is a schematic structural diagram of a hardware operating environment according to an embodiment of the present invention.
It should be noted that fig. 1 may be a schematic structural diagram of a hardware operating environment of the detection device.
As shown in fig. 1, the detection apparatus may include: a processor 1001, such as a CPU, a memory 1005, a user interface 1003, a network interface 1004, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory such as a disk memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the detection device configuration shown in FIG. 1 is not intended to be limiting of detection devices and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a storage medium, may include therein an operating system, a network communication module, a user interface module, and a detection program of motion information. Among them, the operating system is a program that manages and controls hardware and software resources of the detection device, a detection program of motion information, and the execution of other software or programs.
In the detection apparatus shown in fig. 1, the user interface 1003 is mainly used for connecting a terminal, and performing data communication with the terminal; the network interface 1004 is mainly used for the background server and performs data communication with the background server; the processor 1001 may be used to invoke a detection procedure for motion information stored in the memory 1005.
In this embodiment, the detection apparatus includes: a memory 1005, a processor 1001 and a detection program of motion information stored on the memory and executable on the processor, wherein:
when the processor 1001 calls the detection program of the motion information stored in the memory 1005, the following operations are performed:
receiving a first reflection signal corresponding to a first radar signal transmitted by the detection equipment;
determining position information and point cloud speed information of a human body according to the first reflection signal;
inputting the position information and the point cloud speed information into a pre-trained human motion model to obtain motion information, wherein the motion information comprises first motion data of a target body part and second motion data of other body parts except the target body part;
and filtering the second motion data based on a preset filtering frequency, and obtaining a target respiration characteristic and a target heart rate characteristic according to the first motion data.
When the processor 1001 calls the detection program of the motion information stored in the memory 1005, the following operations are also performed:
acquiring the round trip time of the first radar signal, the height of the detection device and a scanning angle, wherein the round trip time of the first radar signal is determined by the transmitting time of the first radar signal and the receiving time of the first reflection signal;
determining the distance between the detection equipment and each human body surface reflection point according to the round trip time and a preset propagation speed;
determining the position information of the human body according to the distance, the height and the scanning angle;
acquiring a transmitting frequency and a phase of the first radar signal transmitted by the detection device and a reflecting frequency and a phase of the first reflection signal;
and determining corresponding point cloud speed information of each human body surface reflection point according to the transmitting frequency and the phase of the first radar signal and the reflecting frequency and the phase of the first reflection signal.
When the processor 1001 calls the detection program of the motion information stored in the memory 1005, the following operations are also performed:
acquiring the distribution condition of the position information in a three-dimensional space coordinate system and point cloud speed information of each human body surface reflection point;
and determining motion information according to the distribution condition and the point cloud speed information corresponding to the reflecting points on the surface of the human body.
When the processor 1001 calls the detection program of the motion information stored in the memory 1005, the following operations are also performed:
sequentially performing distance Fourier transform, Doppler Fourier transform and arrival angle analysis on the first motion data to obtain the spatial position and radial velocity information of the reflection point;
obtaining respiratory characteristics and heart rate characteristics from the spatial position of the reflection point and the radial velocity information based on a filtering and screening mode;
and carrying out peak value capture on the respiration characteristic and the heart rate characteristic to obtain a target respiration characteristic and a target heart rate characteristic.
When the processor 1001 calls the detection program of the motion information stored in the memory 1005, the following operations are also performed:
preprocessing the first reflected signal;
and determining the position information and the point cloud speed information of the human body according to the preprocessed first reflection signal.
When the processor 1001 calls the detection program of the motion information stored in the memory 1005, the following operations are also performed:
the pretreatment comprises the following steps in sequence: amplification processing, mixing processing, filtering processing, distance Fourier transform processing, phase extraction processing, phase unwrapping processing and constant false alarm rate detection.
When the processor 1001 calls the detection program of the motion information stored in the memory 1005, the following operations are also performed:
the step of filtering the second motion data based on a preset filtering frequency and obtaining a target respiration characteristic and a target heart rate characteristic according to the first motion data comprises the following steps:
acquiring the position of a target body part;
determining a transmitting direction according to the position of the target body part;
transmitting the second radar signal based on the transmit direction;
receiving a second reflection signal corresponding to the second radar signal transmitted by the detection equipment;
and obtaining target respiration characteristics and target heart rate characteristics corresponding to the target body part according to the second reflection signals.
While a logical order is shown in the flow chart, in some cases, the steps shown or described may be performed in an order different than that shown or described herein.
As shown in fig. 2, in a first embodiment of the present application, a method for detecting motion information of the present application includes the following steps:
step S110, receiving a first reflection signal corresponding to a first radar signal transmitted by the detection device;
in this embodiment, optionally, the detection device is a radar device. The detection device may also be a camera module. The detection device may also be a combination of a radar device and a camera module. Optionally, the radar device may be installed on a sports apparatus, or may be installed at any position in a room or an area, and before the radar device is used for detecting motion information, the position of the radar device needs to be calibrated, so that the radar device may acquire motion information of a human body. Optionally, the number of the radar devices may also be set. The first radar signal is a scanning signal in a room and in an area emitted by the detection device. The first reflection signal is a signal which is emitted by the first radar signal through a human body surface reflection meter.
In this embodiment, when motion is initiated, the detection device is activated to scan. The first reflected signal may include object information in a room or area that can be scanned by the detection device, where the object information may include stationary object position information, motion information of a moving human body, or position information of a moving human body.
Specifically, the detection device transmits a first radar signal when motion is initiated to scan for objects in a room or area. And receiving a first reflection signal reflected by the first radar signal, and determining the position information and the point cloud speed information of the human body according to the first reflection signal. Based on the principle of Doppler radar, a first radar signal is sent out through a transmitting antenna, the first radar signal is reflected by a detected object and captured by a receiving antenna to obtain a first reflection signal, the amplified first reflection signal and the first radar signal are subjected to frequency mixing processing, and the position information and point cloud speed information of a human body are determined through algorithms such as distance FFT, speed FFT, azimuth FFT, constant false alarm detection and the like.
Step S120, determining position information and point cloud speed information of a human body according to the first reflection signal;
in this embodiment, the following method may be adopted to determine the position information of the human body and the point cloud speed information according to the first reflection signal:
the method comprises the steps of obtaining the round trip time of a first radar signal and the preset propagation speed of the radar signal, and determining the distance between the detection equipment and each human body surface reflection point according to the round trip time of the first radar signal and the preset propagation speed. And meanwhile, the position of each human body surface reflectometer in a three-dimensional coordinate system can be determined by combining the acquired height of the detection equipment and the scanning angle of the detection equipment, so that the position information of the human body is determined. After the position information of the human body is obtained, point cloud speed information of the detection device and each reflection point on the surface of the human body can be obtained. And after point cloud speed information of the reflection points on the surface of each human body is obtained, determining the point cloud speed information of the human body according to the position information and the point cloud speed information.
Step S130, inputting the position information and the point cloud speed information into a human motion model trained in advance to obtain motion information.
In this embodiment, the motion information is overall motion information of a human body, and includes first motion data of the target body part and second motion data of other body parts except the target body part. After the position information of each human body surface reflection point is obtained, the position information is input into a neural network model to obtain a human body contour, and the human body contour and point cloud speed information are input into a human body motion model trained in advance to obtain motion information.
In this embodiment, after the human body contour and the point cloud speed information are input into a pre-trained human body motion model, motion information is obtained, and a human body motion state may be determined according to the motion information, for example, the human body motion state may be a hand-lifting state, a foot-lifting state, or the like. In inputting the human body contour into a pre-trained human body motion model, the pre-trained human body motion model can segment the human body contour into different body parts. Therefore, the space position of the area with the most obvious human body surface motion caused by heart rate and respiration, namely the position of the target body part, is calculated from the human body kinematics model, only the radar signal of the position of the target body part is analyzed, and the influence of other parts of the body can be effectively reduced.
And step S140, filtering the second motion data based on a preset filtering frequency, and obtaining a target respiration characteristic and a target heart rate characteristic according to the first motion data.
In this embodiment, the target body part is a chest part, and the breathing characteristic and the heart rate characteristic are obtained through motion information of the chest part. Therefore, it is necessary to filter out the second motion data of body parts other than the target body part. The frequencies corresponding to different motion data are different, and the preset filtering frequency corresponding to the second motion data can be set; and filtering the second motion data from the motion information based on the preset filtering frequency to obtain first motion data. And processing the first motion data to obtain a target respiration characteristic and a target heart rate characteristic. How to obtain the target respiration characteristic and the target heart rate characteristic from the first motion data may refer to the contents of the third embodiment.
According to the technical scheme, the embodiment adopts the method that the first reflection signal corresponding to the first radar signal transmitted by the detection equipment is received; determining position information and point cloud speed information of a human body according to the first reflection signal; inputting the position information and the point cloud speed information into a pre-trained human body motion model to obtain motion information, wherein the motion information comprises first motion data of a target body part and second motion data of other body parts except the target body part; the second motion data are filtered based on a preset filtering frequency, and according to the technical scheme of the target respiration characteristic and the target heart rate characteristic obtained through the first motion data, the problem that the heart rate and respiration information are difficult to extract in the motion process is solved, and the measurement accuracy of the heart rate and respiration information is improved.
As shown in fig. 3, in the second embodiment of the present application, based on the step S120 of the first embodiment, the method for detecting motion information of the present application includes the following steps:
step S121, obtaining a round trip time of the first radar signal, a height of the detection device, and a scanning angle, where the round trip time of the first radar signal is determined by a transmission time of the first radar signal and a reception time of the first reflection signal;
step S122, determining the distance between the detection equipment and each human body surface reflection point according to the round-trip time and the preset propagation speed;
step S123, determining position information of the human body according to the distance, the height and the scanning angle;
in this embodiment, when the detection device transmits a first radar signal to the detection device in motion, a timing function is started, the transmission time, i.e., the starting time, of the first radar signal is recorded, and the receiving time of the first reflection signal is obtained. Determining a round trip time of the first radar signal based on a time difference between a time of transmission of the first radar signal and a time of reception of the first reflected signal. A preset propagation speed of the radar signal is obtained, which may be determined by the propagation speed of the light. And determining the distance between the detection equipment and each human body surface reflection point according to the round trip time of the first radar signal and the preset propagation speed.
After the distances between the detection equipment and the reflection points on the surface of each human body are determined, the obtained height of the detection equipment and the scanning angle of the detection equipment are combined, and the height of the detection equipment and the scanning angle of the detection equipment are pre-calibrated data and can be determined when the detection equipment is installed; and determining the position of each human body surface reflection table under a three-dimensional coordinate system according to the distance, the height and the scanning angle, thereby determining the position information of the human body.
Step S124, acquiring a transmission frequency and a phase of the first radar signal transmitted by the detection device, and a reflection frequency and a phase of the first reflection signal;
step S125, point cloud speed information corresponding to the reflecting points on the surface of the human body is determined according to the transmitting frequency and the phase of the first radar signal and the reflecting frequency and the phase of the first reflection signal.
In this embodiment, the point cloud velocity information for determining the reflection points on the surface of each human body mainly applies the doppler effect principle: when a human body approaches to the radar antenna of the detection device, the reflection frequency of the first reflection signal is higher than the transmission frequency of the first radar signal; conversely, when the human body is far away from the radar antenna, the reflection frequency of the first reflection signal will be lower than the transmission frequency of the first radar signal. Therefore, point cloud speed information of the human body and the detection equipment can be calculated according to the change value of the frequency, namely the human body moves close to the detection equipment, the Doppler frequency is positive, and when the human body moves away from the detection equipment, the Doppler frequency is negative.
In addition, the magnitude and direction of the radial velocity of the reflection point relative to the radar can also be calculated by detecting the phase change of the echo. Specifically, the phase angle of the current and the next adjacent echo changes to be positive, which indicates that the human body moves away from the detection equipment; otherwise, the change of the phase angle of the current and the next adjacent echo is negative, which indicates that the human body moves close to the detection equipment.
According to the technical scheme, the point cloud speed information is determined according to the transmitting frequency of the first radar signal and the reflection signal of the first reflection signal, so that the point cloud speed information is accurately acquired.
In the third embodiment of the present application, based on the step S130 of the first embodiment, the method for detecting motion information of the present application includes the following steps:
step S131, acquiring the distribution condition of the position information in a three-dimensional space coordinate system;
step S132, determining motion information according to the distribution condition and the point cloud speed information corresponding to each human body surface reflection point.
In this embodiment, after obtaining the position information of the human body and the point cloud speed information of the reflection points on the surface of each human body, the motion information of the human body is determined according to the position information and the point cloud speed information. Specifically, the distribution condition of the position information corresponding to each human body surface reflection point in the three-dimensional coordinate system and the point cloud speed information of each human body surface reflection point can be obtained. And determining the motion information of the human body according to the distribution condition and the point cloud speed information. For example, the point cloud distribution of the human body surface reflection points at the thoracic cavity part is dense, and the motion information of the human body can be determined by combining the point cloud distribution condition of the human body surface reflection points at the thoracic cavity part and the point cloud speed information of the human body surface reflection points at the thoracic cavity part.
According to the technical scheme, the motion information of the human body is determined according to the distribution condition of the position information of the human body in the three-dimensional space coordinate system and the point cloud speed information of the reflection points on the surface of the human body, so that more accurate motion information of the human body is obtained.
As shown in fig. 4, in a fourth embodiment of the present application, based on the step S140 of the first embodiment, the method for detecting motion information of the present application includes the following steps:
step S141, sequentially performing distance Fourier transform, Doppler Fourier transform and arrival angle analysis on the first motion data to obtain the spatial position and radial velocity information of the reflection point; (ii) a
Step S142, obtaining breathing characteristics and heart rate characteristics from the spatial position of the reflection point and the radial velocity information based on a filtering and screening mode;
and step S143, peak value capturing is carried out on the respiration characteristic and the heart rate characteristic to obtain a target respiration characteristic and a target heart rate characteristic.
In this embodiment, the first motion data is retained after the second motion data is filtered out based on a preset filtering frequency. And sequentially carrying out distance Fourier transform, Doppler Fourier transform and arrival angle analysis on the first motion data to obtain the spatial position and radial velocity information of the reflection point. And obtaining processed first motion data from the spatial position of the reflection point and the radial velocity information based on a filtering and screening mode, wherein the first motion data comprises a respiration characteristic and a heart rate characteristic. The respiratory characteristics and the filtering and screening frequencies corresponding to the heart rate characteristics are different, and the respiratory characteristics and the heart rate characteristics in the first motion data are respectively screened out by setting different filtering and screening frequencies.
In this embodiment, after the respiratory characteristics and the heart rate characteristics are respectively screened, since the respiratory characteristics and the heart rate characteristics are displayed in a form of a sequence, in the sequence, there are fluctuations in the sizes of the respiratory characteristics and the heart rate characteristics, and the respiratory characteristics and the heart rate characteristics with larger peaks are representative. Therefore, it is necessary to capture the peak values of the respiratory feature and the heart rate feature, acquire the peak values that are the maximum values in the respiratory feature sequence and the heart rate feature sequence, and regard the acquired peak values as the target respiratory feature and the target heart rate feature.
According to the technical scheme, the first motion data are processed, so that the technical means of acquiring the target respiration characteristic and the target heart rate characteristic are obtained, and the detection precision of the heart rate characteristic and the respiration characteristic is improved.
As shown in fig. 5, in a fifth embodiment of the present application, based on the step S120 of the first embodiment, the method for detecting motion information of the present application includes the following steps:
step S221, preprocessing the first reflection signal;
step S222, determining position information and point cloud speed information of the human body according to the preprocessed first reflection signal.
In this embodiment, after receiving a first reflection signal corresponding to a first radar signal transmitted by the detection device, the first reflection signal is preprocessed in a manner that sequentially includes amplification processing, frequency mixing processing, filtering processing, distance fourier transform processing, phase extraction processing, phase unwrapping processing, and constant false alarm detection, so as to determine position information and point cloud speed information of a human body according to the preprocessed first reflection signal. Specifically, signal amplification processing is performed on the first reflection signal; mixing the first reflection signal subjected to the signal amplification processing with the first radar signal; filtering the first reflection signal after the frequency mixing processing based on a preset filtering frequency; performing distance Fourier transform processing on the first reflection signal after filtering processing; and performing phase extraction processing and phase unwrapping processing on the first reflection signal after the distance Fourier transform processing, and then performing constant false alarm detection, so as to obtain the preprocessed first reflection signal. After the preprocessed first reflection signal is obtained, the position information of the human body and the point cloud speed information can be determined according to the preprocessed first reflection signal.
According to the technical scheme, the first reflection signal is preprocessed, so that the position information and the point cloud speed information of the human body are determined according to the preprocessed first reflection signal.
As shown in fig. 6, in the sixth embodiment of the present application, after step S140 based on the first embodiment, the method for detecting motion information of the present application includes the following steps:
step S310, acquiring the position of a target body part;
step S320, determining the transmitting direction according to the position of the target body part;
step S330, transmitting the second radar signal based on the transmitting direction;
step S340, receiving a second reflection signal corresponding to the second radar signal emitted by the detection device;
and step S350, obtaining a target respiration characteristic and a target heart rate characteristic corresponding to the target body part according to the second reflection signal.
In this embodiment, after the position information and the point cloud speed information are input into a human motion model trained in advance, in addition to obtaining motion information, the position of a target body part of a human body and the position of a chest cavity can be obtained. After the position of the target body part is obtained, the transmitting direction is adjusted according to the position of the target body part, and the second radar signal is transmitted based on the transmitting direction. After transmitting a second radar signal to the position of the target body part, receiving a second reflection signal corresponding to the second radar signal transmitted by the detection device. Determining first motion data from the second reflected signal, thereby further performing a fourier transform on the first motion data; obtaining respiratory characteristics and heart rate characteristics from the first motion data after Fourier transform based on a filtering and screening mode; and carrying out peak value capture on the respiration characteristic and the heart rate characteristic to obtain a target respiration characteristic and a target heart rate characteristic.
According to the method, through a mechanical or electronic beam direction control algorithm, radar signal emission is intensively carried out on the position of a target body part, the radar signal intensity of the part is enhanced, on the other hand, in the analysis process of a reflected signal, the arrival angle and the chest and abdomen position of the reflected signal are compared, only the signal of the position of the target body part is analyzed, and the interference of the movement of other parts of the body can be effectively eliminated.
According to the technical scheme, the radar signals are transmitted to the position of the target body part, the reflected signals reflected by the radar signals are received, and only the signals of the position of the target body part are analyzed, so that the interference of the movement of other parts of the body can be effectively eliminated.
Based on the same inventive concept, an embodiment of the present application further provides a computer program product, where the computer program product includes a motion information detection program, and when the motion information detection program is executed by a processor, the steps of the motion information detection described above are implemented, and the same technical effect can be achieved, and in order to avoid repetition, details are not repeated here.
Since the computer program product provided in the embodiments of the present application is a computer program product used for implementing the method in the embodiments of the present application, based on the method described in the embodiments of the present application, a person skilled in the art can understand the specific structure and modification of the computer program product, and thus details are not described herein. All computer program products that may be used in the methods of the embodiments of the present application are intended to be within the scope of the present application.
Based on the same inventive concept, an embodiment of the present application further provides a storage medium, where the storage medium stores a detection program of motion information, and the detection program of motion information is executed by a processor to implement the above steps of detecting motion information, and can achieve the same technical effect, and is not described herein again to avoid repetition.
Since the storage medium provided in the embodiments of the present application is a storage medium used for implementing the method in the embodiments of the present application, based on the method described in the embodiments of the present application, a person skilled in the art can understand a specific structure and a modification of the storage medium, and thus details are not described here. Any storage medium used in the methods of the embodiments of the present application is intended to be within the scope of the present application.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should be noted that in the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention can be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means can be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A method for detecting motion information is applied to a detection device, and comprises the following steps:
receiving a first reflection signal corresponding to a first radar signal transmitted by the detection equipment;
determining position information and point cloud speed information of a human body according to the first reflection signal;
inputting the position information and the point cloud speed information into a pre-trained human motion model to obtain motion information, wherein the motion information comprises first motion data of a target body part and second motion data of other body parts except the target body part;
and filtering the second motion data based on a preset filtering frequency, and obtaining a target respiration characteristic and a target heart rate characteristic according to the first motion data.
2. The method for detecting motion information according to claim 1, wherein the step of determining the position information of the human body and the point cloud speed information according to the first reflection signal comprises:
acquiring the round trip time of the first radar signal, the height of the detection device and a scanning angle, wherein the round trip time of the first radar signal is determined by the transmitting time of the first radar signal and the receiving time of the first reflection signal;
determining the distance between the detection equipment and each human body surface reflection point according to the round trip time and a preset propagation speed;
determining the position information of the human body according to the distance, the height and the scanning angle;
acquiring the transmitting frequency and the phase of the first radar signal transmitted by the detection equipment and the reflecting frequency and the phase of the first reflection signal;
and determining point cloud speed information corresponding to the reflecting points on the surface of the human body according to the transmitting frequency and the phase of the first radar signal and the reflecting frequency and the phase of the first reflection signal.
3. The method for detecting motion information according to claim 2, wherein the step of inputting the position information and the point cloud velocity information into a pre-trained human motion model to obtain motion information comprises:
acquiring the distribution condition of the position information in a three-dimensional space coordinate system;
and determining motion information according to the distribution condition and the point cloud speed information corresponding to the reflecting points on the surface of the human body.
4. The method for detecting motion information according to claim 1, wherein the step of obtaining the target respiration characteristic and the target heart rate characteristic according to the first motion data comprises:
sequentially performing distance Fourier transform, Doppler Fourier transform and arrival angle analysis on the first motion data to obtain the spatial position and radial velocity information of the reflection point;
obtaining respiratory characteristics and heart rate characteristics from the spatial position of the reflection point and the radial velocity information based on a filtering and screening mode;
and carrying out peak value capture on the respiration characteristic and the heart rate characteristic to obtain a target respiration characteristic and a target heart rate characteristic.
5. The method for detecting motion information according to claim 1, wherein the step of determining the position information of the human body and the point cloud velocity information according to the first reflection signal comprises:
preprocessing the first reflected signal;
and determining the position information and the point cloud speed information of the human body according to the preprocessed first reflection signal.
6. The method for detecting motion information according to claim 5, wherein the preprocessing comprises in sequence: amplification processing, mixing processing, filtering processing, distance Fourier transform processing, phase extraction processing, phase unwrapping processing and constant false alarm rate detection.
7. The method for detecting motion information according to claim 1, wherein the step of filtering the second motion data based on a predetermined filtering frequency and obtaining the target respiration characteristic and the target heart rate characteristic from the first motion data comprises:
acquiring the position of a target body part;
determining a transmitting direction according to the position of the target body part;
transmitting the second radar signal based on the transmit direction;
receiving a second reflection signal corresponding to the second radar signal transmitted by the detection equipment;
and obtaining a target respiration characteristic and a target heart rate characteristic corresponding to the target body part according to the second reflection signal.
8. A detection device, characterized in that the detection device comprises: memory, a processor and a detection program of motion information stored on the memory and executable on the processor, the detection program of motion information implementing the steps of the detection method of motion information according to any one of claims 1 to 7 when executed by the processor.
9. A storage medium storing a program for detecting motion information, the program for detecting motion information being executed by a processor to implement the steps of the method for detecting motion information according to any one of claims 1 to 7.
10. A computer program product, characterized in that it comprises a detection program of motion information, which when executed by a processor implements the steps of the detection method of motion information according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210214492.9A CN114732375A (en) | 2022-03-04 | 2022-03-04 | Method, device, computer program product and storage medium for detecting motion information |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210214492.9A CN114732375A (en) | 2022-03-04 | 2022-03-04 | Method, device, computer program product and storage medium for detecting motion information |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114732375A true CN114732375A (en) | 2022-07-12 |
Family
ID=82275320
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210214492.9A Pending CN114732375A (en) | 2022-03-04 | 2022-03-04 | Method, device, computer program product and storage medium for detecting motion information |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114732375A (en) |
-
2022
- 2022-03-04 CN CN202210214492.9A patent/CN114732375A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP5848469B1 (en) | Biological condition detection device | |
| CN103181780A (en) | Signal analysis method, ultrasonic image analysis method, and ultrasonic imaging system | |
| CN116106855B (en) | Tumble detection method and tumble detection device | |
| WO2021121361A1 (en) | Distance measurement method and distance measurement apparatus | |
| CN108324262B (en) | Method and device for arterial pulse measurement | |
| US20220179062A1 (en) | Detection apparatus and method | |
| CN106683083B (en) | Anal sphincter image processing method and device, ultrasonic device | |
| EP3842824A3 (en) | Method and device to process radar signal | |
| CN110837079A (en) | Target detection method and device based on radar | |
| CN115204221B (en) | Method, device and storage medium for detecting physiological parameters | |
| CN102525549A (en) | Method, device and program for analyzing cartilage using ultrasonic wave | |
| WO2021159294A1 (en) | Physical sign detection method, apparatus, and device | |
| JP2021004874A (en) | Article detection method and apparatus | |
| CN114732375A (en) | Method, device, computer program product and storage medium for detecting motion information | |
| EP2466330A2 (en) | Ultrasound system and method for processing beam-forming based on sampling data | |
| US20170251998A1 (en) | Ultrasonic diagnostic device | |
| CN114847931A (en) | Human motion tracking method, device and computer-readable storage medium | |
| JP7377494B2 (en) | Attribute identification device and identification method | |
| CN114903469A (en) | Vital sign monitoring method and device | |
| CN110811674B (en) | Ultrasonic diagnostic apparatus and storage medium | |
| CN117647788B (en) | Dangerous behavior identification method and device based on human body 3D point cloud | |
| CN110604553B (en) | Non-contact vital sign detection method and device and electronic equipment | |
| CN114767074B (en) | Vital sign measuring method, equipment and storage medium | |
| JP2022181378A (en) | Suppression device and suppression method for false image signal | |
| WO2019211840A1 (en) | System and method for remote monitoring |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |