Microwave radar vital sign detection method and system based on infrared temperature sensing detection

Abstract

The invention relates to a microwave radar vital sign detection method and system based on infrared temperature sensing detection, and the method comprises the following steps: S1, rotating an infrared temperature sensor to detect whether there is a human body, and if yes, transmitting and receiving a radar signal through a microwave radar, and searching the position of the human body; s2, searching an area of a micro-motion state corresponding to the position of the human body, controlling the microwave radar to rotate and / or translate, and respectively searching a vital sign detection area of each human body from the area of the micro-motion state; s3, radar signals returned by the vital sign detection areas are received respectively, and vital signs are extracted from the radar signals respectively.

Description

Technical Field

[0001] The present invention relates to the field of vital sign detection, and in particular to a microwave radar vital sign detection method and system based on infrared temperature sensing detection. Background Art

[0002] Microwave radar can collect echo data of the detected person, and then extract the micro-movement changes of the human body from the echo data, thereby calculating the vital signs of the human body, such as breathing, heartbeat, etc.

[0003] The microwave radar used for vital sign detection is fixedly set at a certain position in the room, such as the head of the bed, the wall, etc. On the one hand, the position of the human body in the room is uncertain. When the curtains in the room flutter or the fan swings, the microwave radar may easily misjudge the existence of the human body and start calculating its vital signs. On the other hand, since the vital signs of the human body are tiny changes in human movement, such as the heartbeat corresponds to the tiny shaking of the human chest, the position of the human body in the radar scanning area is unknown, and the movement generated by the vital signs is very weak. Especially when there are more than one person on the bed, the micro-motion signals extracted within the radar scanning range are easy to interfere with each other. Before the vital sign detection, the microwave radar needs to be manually adjusted in terms of orientation and direction, so that the human body is in the area with better signal within the radar scanning range, and the subsequent vital sign detection algorithm can capture the vital sign data from the echo data. In the prior art, it is impossible to realize that the microwave radar automatically finds the part of the human body that can feedback vital signs. The only way is to use the relatively rough micro-motion range detected by the microwave radar as the source of vital sign judgment data, which may have problems such as missing data, low data signal-to-noise ratio, and fuzzy data.

[0004] The purpose of the present invention is to design a microwave radar vital signs detection method and system based on infrared temperature sensing detection to solve the above-mentioned problems in the prior art. Summary of the invention

[0005] In view of the problems existing in the above-mentioned prior art, the present invention provides a microwave radar vital signs detection method and system based on infrared temperature sensing detection, which can effectively solve at least one problem existing in the above-mentioned prior art.

[0006] The technical solution of the present invention is:

[0007] A microwave radar vital sign detection method based on infrared temperature sensing detection comprises the following steps:

[0008] S1, rotating infrared temperature sensor to detect whether there is a human body, if so, microwave radar is used to transmit and receive radar signals to perform secondary confirmation of the human body and find the human body position;

[0009] S2, finding the area of ​​the micro-motion state corresponding to the position of the human body, controlling the microwave radar to rotate and / or translate, and finding the vital sign detection area of ​​each human body from the area of ​​the micro-motion state;

[0010] S3, respectively receiving radar signals returned from the vital sign detection area, and respectively extracting vital signs from the radar signals.

[0011] Further, step S2 includes:

[0012] S21, determine whether the human body is in a micro-motion state. If so, rotate and / or translate the microwave radar to an area facing the micro-motion state, extract the human body trunk position from the area of ​​the micro-motion state, take the surrounding area of ​​the human body trunk position as the human body area, rotate and / or translate the microwave radar, and search for vital sign detection areas towards the human body area.

[0013] Further, extracting the position of the human body trunk from the region of the micro-motion state includes:

[0014] The radar signal from the micro-motion state area is extracted, and a 2DFFT operation is performed, and the position corresponding to the peak value of the 2DFFT operation result is used as the human body trunk position.

[0015] Further, rotating and / or translating the microwave radar to search for a vital sign detection area toward the human body area includes:

[0016] S22, calculating vital signs at multiple locations within the human body region;

[0017] S23, if the vital signs at multiple locations are similar, determining the area in the micro-motion state as a vital sign detection area.

[0018] Furthermore, the human body region is divided into a plurality of sub-regions at equal intervals, and vital signs of the plurality of sub-regions are calculated.

[0019] Furthermore, dividing the human body region into a plurality of sub-regions at equal intervals, and calculating the vital signs of the plurality of sub-regions comprises:

[0020] The radar signal of the human body area is equally divided and the phases are calculated respectively;

[0021] Multiple phases are calculated through a vital sign algorithm to obtain multiple vital signs.

[0022] Further, if the vital signs of multiple positions are different, the scanning range of the microwave radar is rotated and / or translated according to the vital signs of multiple sub-areas and the process returns to step S22.

[0023] Further, rotating and / or translating the microwave radar according to the vital signs of the plurality of sub-areas comprises:

[0024] Calculate the mean of vital signs of multiple sub-areas;

[0025] The microwave radar is rotated and / or translated toward the sub-region where the vital sign is close to the vital sign mean value.

[0026] Further, it includes: S4, detecting human body temperature through the infrared temperature sensor and outputting the human body temperature.

[0027] A microwave radar vital signs detection system based on infrared temperature sensing detection is further provided, comprising a base, an infrared body temperature detector and a microwave radar are arranged above the base, the infrared body temperature detector and the microwave radar are rotatable respectively, and the vital signs detection system implements the microwave radar vital signs detection method based on infrared temperature sensing detection when working.

[0028] Therefore, the present invention provides the following effects and / or advantages:

[0029] The present application obtains the number of human bodies by infrared detection of body temperature, and finds the vital sign detection area from the micro-motion state area based on the position of the human body, so that the vital signs of multiple people can be detected separately.

[0030] The present application drives the microwave radar to collect data on human vital signs only after the infrared temperature sensor detects the human body, which can effectively avoid the problem that other objects being mistakenly judged as human bodies by the microwave radar when they are moving.

[0031] The present application can control the rotation and / or translation of the microwave radar to direct the center of its scanning area toward the vital signs detection area by finding the vital signs detection area, and utilize the characteristics of the center of the scanning area having the best signal-to-noise ratio and the best response of human vital signs, thereby improving the detection accuracy of the microwave radar in detecting human vital signs.

[0032] The present application can control the microwave radar to rotate and / or translate to find the vital signs detection area, so that the microwave radar used to detect vital signs can be placed in multiple locations indoors, and there is no need to manually adjust the scanning area of ​​the microwave radar before use. The microwave radar can automatically find the vital signs detection area and perform vital signs detection.

[0033] The present application calculates vital signs at multiple positions within the area of ​​the micro-motion state, and through the vital signs at multiple positions, it is possible to determine whether the scanning center of the microwave radar is facing the part of the human body that reacts to vital signs. This can be used to accurately adjust the scanning range of the microwave radar, thereby improving the accuracy of vital signs detection.

[0034] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and the drawings.

[0035] It is to be understood that both the foregoing general description and the following detailed description of the present invention are exemplary and explanatory and are intended to provide further explanation of the invention as claimed. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 A schematic diagram of a flow chart provided for an embodiment of the present invention.

[0037] Figure 2 Schematic diagram of the steps for calculating vital signs.

[0038] Figure 3 Schematic diagram of microwave radar searching for the human body.

[0039] Figure 4 Schematic diagram of finding the position of the human torso for microwave radar.

[0040] Figure 5 This is a schematic diagram showing that the center of the scanning area of ​​the microwave radar is located at the center of the micro-motion area after rotation.

[0041] Figure 6 It is a schematic diagram of dividing the micro-motion state area into 2*2 square areas when measuring heart rate.

[0042] Figure 7 This is a schematic diagram of dividing the micro-motion state area into four square areas arranged from top to bottom when measuring the respiratory frequency.

[0043] Figure 8 A schematic diagram of adjusting the scanning area of ​​a microwave radar according to breathing frequency.

[0044] Fig. 9 This is a schematic diagram of a vital sign detection system provided in this embodiment. DETAILED DESCRIPTION

[0045] In order to facilitate understanding by those skilled in the art, the present invention is now described in further detail by way of examples:

[0046] refer to Figure 1-2 , a microwave radar vital sign detection method based on infrared temperature sensing detection, comprising the following steps:

[0047] S1, rotating infrared temperature sensor to detect whether there is a human body, if so, microwave radar is used to transmit and receive radar signals to perform secondary confirmation of the human body and find the human body position;

[0048] In this step, the temperature within the detection range can be measured by the rotation of the infrared temperature sensor to determine whether there is an object with a temperature close to that of the human body. Only when there is a human body nearby, the microwave radar is activated to rotate toward the direction of the human body to search for the human body.

[0049] In this embodiment, a radar signal is transmitted by a microwave radar and a radar signal returned by a human body in the room is received. The microwave radar can be placed in the room, for example, on a bedside table, a wall, a wardrobe, etc., without limitation. The microwave radar can scan multiple positions in the room. At this time, the position of the radar or the position of the human body is unknown. The method of searching for a human body by a microwave radar is an existing technology. For example, when the human body is in a sitting or lying state, the human body does not walk or make large body movements, and the preliminary position of the human body is obtained according to the characteristics of the echo data on the microwave radar in this state.

[0050] In this step, the microwave radar can rotate or translate to search for a human body in the room.

[0051] Schematic diagram of microwave radar finding the human body Figure 3 shown.

[0052] Further, in step S1, searching for the position of the human body trunk includes:

[0053] The human body is identified through point cloud data and the position of the human torso is obtained.

[0054] In this step, the microwave radar is used to collect ADC data, perform one-dimensional FFT calculation, two-dimensional FFT calculation, select the target position, and then map the horizontal angle and pitch angle between the human body and the microwave radar and the target to the direct coordinate system, so that the human body can be identified, and the microwave radar is rotated or translated through the horizontal angle and pitch angle between the human body and the microwave radar, so that the human body is located in the middle of the microwave radar scanning area.

[0055] When the human body is in a resting state, the point cloud data corresponding to the reflected radar signal is relatively small. By utilizing the amount of point cloud data in this state, it can be determined that there is a human body at that position when the point cloud data is less than a preset point cloud data amount threshold.

[0056] S2, finding the area of ​​the micro-motion state corresponding to the human body, controlling the microwave radar to rotate and / or translate, and finding each human body's vital sign detection area from the area of ​​the micro-motion state;

[0057] In step S1, the microwave radar finds the human body, and it is necessary to further find the vital sign detection area. This step can be based on the situation that the human body is in a resting state such as sitting or lying down, the human body does not move in a large range, the human body's breathing will produce a small ups and downs, the human body's heartbeat will produce a small shake, etc., and according to the performance of this situation in the radar echo data, the vital sign detection area can be found.

[0058] Because the signal-to-noise ratio of each area within the scanning range of the microwave radar is different, and the position of the human body is unknown before step S1, if the microwave radar does not look for the vital signs detection area but directly extracts vital signs through the microwave radar data returned by the human body's breathing or heartbeat, its data will be affected by external interference and different radar signal-to-noise ratios, and the calculated vital signs data will have problems such as insufficient accuracy. Therefore, this step searches for the vital signs detection area.

[0059] This step first searches for the area of ​​micro-motion, which is the abdomen or chest of the human body, where micro-motion occurs when the human body breathes or the heart beats. Figure 4 shown.

[0060] Then, it is introduced in the above that the microwave radar needs to align its optimal detection area with the part where the vital signs are generated. It can be understood that the center of the microwave radar's scanning area is aligned with the vital sign detection area of ​​the human body. The vital sign detection area can be considered as the chest or abdomen of the human body. Therefore, according to the initial position of the human body, the vital sign detection area of ​​each human body is found respectively, so that the detection area of ​​the microwave radar is rotated or translated to align with the vital sign detection area of ​​one of the human bodies, such as Figure 5 As shown, Figure 5 The black X position in the figure indicates the best signal-to-noise ratio area of ​​the radar, which has been rotated or translated to the chest position of the human body on the right. After the detection is completed, the detection area of ​​the microwave radar is rotated or translated to the vital sign detection area of ​​the next human body.

[0061] S3, respectively receiving radar signals returned from the vital sign detection area, and respectively extracting vital signs from the radar signals.

[0062] In step S2, the human vital sign detection area is found. At this time, only the radar signal of the vital sign detection area is extracted to calculate the vital sign, which can greatly improve the accuracy of the vital sign calculation result. The method of vital sign detection can refer to the existing application with publication number CN118452869A and the name of the method, device, equipment and medium for monitoring vital signs based on millimeter wave radar.

[0063] Alternatively, first construct the ADC data collected by each frame of microwave radar within a period of time as a matrix to be processed, and use the covariance matrix decomposition method to remove the clutter that is significantly different from the useful signal; then use the wavelet denoising method to remove the non-stationary noise, so as to reconstruct the original ADC data. Then, by referring to Figure 2 The provided calculation process realizes vital signs analysis.

[0064] Further, step S2 includes:

[0065] S21, determine whether the human body is in a micro-motion state. If so, rotate and / or translate the microwave radar to an area facing the micro-motion state, extract the human body trunk position from the area of ​​the micro-motion state, take the surrounding area of ​​the human body trunk position as the human body area, rotate and / or translate the microwave radar, and search for vital sign detection areas towards the human body area.

[0066] In this step, the radar signal can be calculated by the micro-motion algorithm to determine whether the human body is in a micro-motion state. The parts of the human body that are in a micro-motion state are generally the chest and abdomen. This area is used to identify the best area for vital sign detection. The micro-motion algorithm can be used to extract the part in the micro-motion state. In step S1, the microwave radar finds the position of the human body. At this time, the microwave radar can be rotated or translated to face the human body. In this step, by extracting the micro-motion area, the microwave radar can be rotated or translated so that the center of the scanning area faces the chest, abdomen and other parts of the human body. Figure 5 shown.

[0067] Further, extracting the position of the human body trunk from the region of the micro-motion state includes:

[0068] The radar signal from the micro-motion state area is extracted, and a 2DFFT operation is performed, and the position corresponding to the peak value of the 2DFFT operation result is used as the human body trunk position.

[0069] By performing 2DFFT operation, the waveform of the radar signal in the frequency domain can be obtained. The number of peak values ​​of the radar signal waveform in the frequency domain corresponds to the number of human bodies, and the position of the peak value of the radar signal waveform in the frequency domain corresponds to the position of the human body. At this time, the microwave radar can detect the number of human bodies and the approximate position of the human body from the radar signal.

[0070] Further, rotating and / or translating the microwave radar to search for a vital sign detection area toward the human body area includes:

[0071] S22, calculating vital signs at multiple locations within the human body region;

[0072] In this step, the heartbeat is used as an example to illustrate that the human chest cavity produces a slight tremor under the action of the heartbeat, thereby producing an area in a micro-motion state.

[0073] Theoretically, the frequencies corresponding to the tiny jitters generated by the human heartbeat at various locations on the chest should be the same, and correspondingly, the heartbeat data calculated from the radar signal reflected back by the tiny jitters generated by the heartbeat should be the same at multiple locations in the human body area. Vital signs are calculated at multiple locations in the human body area obtained in step S21, so as to be used in subsequent steps to determine whether the best signal-to-noise ratio scanning area of ​​the microwave radar is exactly corresponding to the human chest.

[0074] S23, if the vital signs at multiple positions are similar, the area in the micro-motion state is determined to be a vital sign detection area; if the vital signs at multiple positions are different, the scanning range of the microwave radar is rotated and / or translated and the process returns to step S22.

[0075] If the vital signs calculated at multiple locations are the same or similar, it means that the best detection area of ​​the microwave radar is right for the micro-movement of vital signs such as the chest or abdomen of the human body. The best detection area of ​​the microwave radar can be considered to be the center of the radar detection area.

[0076] Due to different sleeping postures of the human body, the radar signal of the micro-motion area captured by the microwave radar may be too weak, interfered, or have calculation errors, or the micro-motion signal may be too weak to be captured when it is transmitted from the center of the chest or abdomen to the edge of the human body, resulting in different vital signs calculated at multiple locations. Therefore, this step needs to be performed.

[0077] Preferably, for the heart rate in the vital signs, since the heart is located near the center of the chest cavity, at this time, one of the human body regions can be divided into N*N squares, for example, into a 2*2 field-shaped structure, such as Figure 6 As shown, heartbeat detection is performed in each square area in the area. If the heart is located in the exact center of N*N squares, the micro-movements generated by the heartbeat in each square area will be captured by the microwave radar and the heart rate will be calculated to be very close.

[0078] At the same time, when measuring the heart rate, since the chest cavity where the heart is located is located above the human body, in order to facilitate capturing the heart rate, in this step, the area of ​​the micro-motion state close to the human head can first be divided into N*N squares and then the vital signs can be calculated.

[0079] Preferably, for the respiratory rate in the vital signs, since the abdomen of the human body will float up and down during breathing, at this time, one of the human body regions can be divided into N rectangles arranged up and down, for example, 4 rectangles are divided, such as Figure 7 As shown, in this area, the breathing frequency is detected in each rectangular area. If the center of the abdomen is located at the center of N rectangles, the micro-movements generated by the ups and downs of the abdomen in each rectangular area are captured by the microwave radar and the breathing frequency is calculated to be very close.

[0080] At the same time, when measuring the respiratory rate, since the abdomen is located in the middle of the human body, in order to facilitate capturing the respiratory rate, in this step, the area of ​​the micro-motion state close to the human legs can be first divided into N rectangles and then the vital signs can be calculated.

[0081] The legs or head of the human body can be identified using existing technologies.

[0082] Therefore, through this step, it is found whether the center of the scanning range of the microwave radar is located at the center of the human body part from which the vital signs data can be extracted. At this time, the radar data obtained by the microwave radar can correctly reflect the vital signs of the human body. If the vital signs of multiple positions are different, the microwave radar can be rotated or moved to make the scanning area of ​​the microwave radar translate or rotate, thereby changing the center point of the scanning area of ​​the microwave radar.

[0083] Furthermore, the human body region is divided into a plurality of sub-regions at equal intervals, and vital signs of the plurality of sub-regions are calculated.

[0084] Furthermore, dividing the human body region into a plurality of sub-regions at equal intervals, and calculating the vital signs of the plurality of sub-regions comprises:

[0085] The radar signal of the human body area is equally divided and the phases are calculated respectively;

[0086] Multiple phases are calculated through a vital sign algorithm to obtain multiple vital signs.

[0087] In this step, you can refer to Figure 6 Or 7, thereby dividing the human body area into equal intervals.

[0088] Specifically, the phase data of the micro-motion area can be extracted first, and the phase data can be phase unwrapped to generate unwrapped data; then the unwrapped data can be preprocessed, and the preprocessed unwrapped data can be subjected to FFT operation to generate heart rate data and track the heart rate data. For details, reference can be made to the existing application entitled "Method, device, equipment and medium for monitoring vital signs based on millimeter wave radar" with publication number CN118452869A.

[0089] Further, if the vital signs of multiple positions are different, the scanning range of the microwave radar is rotated and / or translated according to the vital signs of multiple sub-areas and the process returns to step S22.

[0090] Further, rotating and / or translating the microwave radar according to the vital signs of the plurality of sub-areas comprises:

[0091] Calculate the mean of vital signs of multiple sub-areas;

[0092] The microwave radar is rotated and / or translated toward the sub-region where the vital sign is close to the vital sign mean value.

[0093] In this step, if Figure 8 As shown, assuming that the respiratory rates from multiple positions on the abdomen calculated in the above steps are 15, 20, 21, and 20 (times / minute), respectively, the calculated average is 19, and the sub-areas with respiratory rates of 20, 21, and 20 are areas where vital signs are close to the mean of the vital signs. At this time, the scanning range of the microwave radar needs to be adjusted downward.

[0094] Further, it includes: S4, detecting human body temperature through the infrared temperature sensor and outputting the human body temperature.

[0095] Further provide a microwave radar vital signs detection system based on infrared temperature sensing detection, reference Fig. 9 , including a base 1, an infrared body temperature detector 3 and a microwave radar 2 are arranged on the top of the base 1, the infrared body temperature detector 3 and the microwave radar 2 can be rotatably arranged respectively, and the vital sign detection system realizes the microwave radar vital sign detection method based on infrared temperature detection when working.

[0096] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0097] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0098] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0099] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0100] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms should not be understood as necessarily referring to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are contradictory.

Claims

1. A microwave radar vital sign detection method based on infrared temperature sensing detection, characterized in that: The following steps are involved: S1, rotating infrared temperature sensor to detect whether there is a human body, if so, microwave radar is used to transmit and receive radar signals to perform secondary confirmation of the human body and find the human body position; S2, finding the area of ​​the micro-motion state corresponding to the position of the human body, controlling the microwave radar to rotate and / or translate, and finding the vital sign detection area of ​​each human body from the area of ​​the micro-motion state; S3, respectively receiving radar signals returned from the vital sign detection area, and respectively extracting vital signs from the radar signals.

2. The microwave radar vital sign detection method based on infrared temperature sensing detection according to claim 1 is characterized in that: Step S2 includes: S21, determine whether the human body is in a micro-motion state. If so, rotate and / or translate the microwave radar to an area facing the micro-motion state, extract the human body trunk position from the area of ​​the micro-motion state, take the surrounding area of ​​the human body trunk position as the human body area, rotate and / or translate the microwave radar, and search for vital sign detection areas towards the human body area.

3. The microwave radar vital sign detection method based on infrared temperature sensing detection according to claim 2 is characterized in that: Extracting the position of the human body from the region of the micro-motion state comprises: The radar signal from the micro-motion state area is extracted, and a 2DFFT operation is performed, and the position corresponding to the peak value of the 2DFFT operation result is used as the human body trunk position.

4. The microwave radar vital sign detection method based on infrared temperature sensing detection according to claim 3 is characterized in that: Rotating and / or translating the microwave radar to search for vital sign detection areas toward the human body area includes: S22, calculating vital signs at multiple locations within the human body region; S23, if the vital signs at multiple locations are similar, determining the area in the micro-motion state as a vital sign detection area.

5. The microwave radar vital sign detection method based on infrared temperature sensing detection according to claim 4 is characterized in that: The human body region is divided into a plurality of sub-regions at equal intervals, and vital signs of the plurality of sub-regions are calculated.

6. The microwave radar vital sign detection method based on infrared temperature sensing detection according to claim 5 is characterized in that: Dividing the human body region into a plurality of sub-regions at equal intervals, and calculating the vital signs of the plurality of sub-regions comprises: The radar signal of the human body area is equally divided and the phases are calculated respectively; Multiple phases are calculated through a vital sign algorithm to obtain multiple vital signs.

7. The microwave radar vital sign detection method based on infrared temperature sensing detection according to claim 6 is characterized in that: If the vital signs at multiple locations are different, the scanning range of the microwave radar is rotated and / or translated according to the vital signs of the multiple sub-areas and the process returns to step S22.

8. The microwave radar vital sign detection method based on infrared temperature sensing detection according to claim 7 is characterized in that: Rotating and / or translating the microwave radar according to the vital signs of the plurality of sub-areas comprises: Calculate the mean of vital signs of multiple sub-areas; The microwave radar is rotated and / or translated toward the sub-region where the vital sign is close to the vital sign mean value.

9. The microwave radar vital sign detection method based on infrared temperature sensing detection according to claim 1 is characterized in that: include: S4, detecting the human body temperature through the infrared temperature sensor and outputting the human body temperature.

10. A microwave radar vital sign detection system based on infrared temperature sensing detection, characterized in that: It includes a base, and an infrared body temperature detector and a microwave radar are arranged on the top of the base. The infrared body temperature detector and the microwave radar can be rotatably arranged respectively. When the vital signs detection system is working, it implements the microwave radar vital signs detection method based on infrared temperature sensing detection as described in any one of claims 1-9.

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