Human body target posture detection method and intelligent product control method

Abstract

The present application relates to the field of human posture detection, and particularly relates to a human target posture detection method and system and a control method of intelligent products, which comprises the following steps: a first sensing component is used to emit a first detection signal, a two-dimensional receiving sensing component is used to receive the signal reflected by a human target, and a signal processor is used to process the signal received by the two-dimensional receiving sensing component to obtain contour information of the human target; a second sensing component is used to emit a second detection signal, the two-dimensional receiving sensing component is used to receive the signal reflected by the human target, and the signal processor is used to process the signal received by the two-dimensional receiving sensing component to obtain heart distance information and determine the position of the heart in the contour information according to the heart distance information; and the signal processor is used to determine the posture of the human target according to the relative position relationship between the position of the heart and the contour information. The present application can realize a variety of combined non-inductive human posture recognition, control the work of related intelligent products according to the detected posture, and realize non-inductive interaction.

Description

Technical Field

[0001] The present invention relates to the field of posture detection, and in particular to a method for detecting the posture of a human target and a method for controlling an intelligent product. Background Art

[0002] With the improvement of key technologies such as big data, computing power algorithms, 5G networks and IoT cloud, the development and application of AI artificial intelligence is becoming more and more extensive, and it is also developing rapidly in various scenarios in the smart home field. There are solutions at different levels such as single products, suites and overall homes, and human-computer interaction is the key factor affecting the smart home experience.

[0003] Common interaction methods include voice, gesture, and image recognition. Voice recognition products require users to issue voice commands, which can be awkward in crowded settings. Image recognition also has limitations in smart home applications, as concerns about privacy leaks can deter users from using them in highly private settings. Gesture recognition requires users to wave their hands each time they use the gesture, which has specific motion specifications and imposes certain restrictions on users.

[0004] It can be seen that the existing human-computer interaction solutions have defects to varying degrees. Although these technical methods have been widely used and are very mature, users have a demand for seamless interaction for a better experience. Summary of the Invention

[0005] The main purpose of the present invention is to overcome the defects of human-computer interaction in the prior art, and propose a method for detecting human target posture and a control method for intelligent products. By detecting human target posture, senseless interaction is achieved, which can be applied to various human-computer interaction scenarios and has a good experience.

[0006] The present invention adopts the following technical solutions:

[0007] A method for detecting a human body posture, comprising:

[0008] The first detection signal is transmitted by the first sensing component, the signal reflected by the human target is received by the two-dimensional receiving sensing component, and the signal processor processes the signal received by the two-dimensional receiving sensing component to obtain contour information of the human target;

[0009] The second detection signal is transmitted by the second sensing component, and the signal reflected by the human target is received by the two-dimensional receiving sensing component. The signal processor processes the signal received by the two-dimensional receiving sensing component to obtain heart distance information and determines the position of the heart in the contour information according to the heart distance information.

[0010] The signal processor determines the posture of the human target according to the relative position relationship between the position of the heart and the contour information.

[0011] Furthermore, the first detection signal is reflected by the human target and then emitted into different positions on the two-dimensional receiving sensor component. The signal processor calculates and obtains multiple sets of continuous first distance information and arranges them in a two-dimensional array to obtain contour information.

[0012] Furthermore, the second detection signal is reflected by the human target and then emitted into different positions on the two-dimensional receiving sensor component. The signal processor calculates and obtains multiple sets of continuous second distance information and arranges the heart distance information therein in a two-dimensional array.

[0013] Furthermore, the orientation of the human body target is determined based on the relative position relationship between the position of the heart and the center line of the contour information, specifically including:

[0014] If the heart is located on the left side of the center line of the contour information, the orientation of the human body target is determined to be positive;

[0015] If the heart is located to the right of the center line of the contour information, the human body target is judged to be facing backwards;

[0016] If the position of the heart is located on the center line of the contour information, the orientation of the human body target is determined to be sideways.

[0017] Furthermore, the method includes selecting a reference line from the contour information and determining the posture of the human target according to the distance between the position of the heart and the reference line, which specifically includes the following:

[0018] If the distance between the heart position and the baseline is greater than or equal to H1, the human target is judged to be in a standing posture;

[0019] If the distance between the heart and the baseline is less than or equal to H2, the human target is judged to be in a lying position;

[0020] If the distance between the heart position and the reference line is less than H1 and greater than H2, it is determined that the human body target is in a sitting position.

[0021] Furthermore, the method further includes determining the posture change of the human target according to the change in the distance between the position of the heart and the reference line, which specifically includes the following:

[0022] If the distance between the heart and the baseline changes from greater than or equal to H1 to less than H1 and greater than H2, it is determined that the posture of the human target changes from standing to sitting;

[0023] If the distance between the heart and the baseline changes from less than H1 and greater than H2 to less than or equal to H2, it is determined that the human body changes from a sitting position to a lying position;

[0024] If the distance between the heart position and the reference line changes from less than H2 to greater than or equal to H1, it is determined that the posture of the human target changes from lying down to standing.

[0025] A toilet control method identifies the posture of a human target based on the above-mentioned human target posture detection method, and controls the toilet to execute a corresponding control program according to the identified posture.

[0026] The recognized posture of the human target at least includes the direction, standing, lying or sitting posture of the human target, and the actions of the toilet at least include automatic opening and closing of the lid, small flushing, large flushing, foam splash prevention or fall alarm.

[0027] A control method for a smart home product identifies the posture of a human target based on a human target posture detection method, and controls the operation of the smart home product according to the identified posture.

[0028] Furthermore, smart home products include smart toilets, smart urinals, smart squat toilets, smart curtains, smart lighting, smart TVs, and sweeping robots.

[0029] A human target posture detection system, comprising

[0030] A first sensing component, configured to transmit a first detection signal;

[0031] A second sensing component is used to transmit a second detection signal;

[0032] a two-dimensional receiving sensor component for receiving a signal reflected by the human body target from the first detection signal and a signal reflected by the human body target from the second detection signal;

[0033] The signal processor is used to process the signal received by the two-dimensional receiving sensor component to obtain the contour information and heart distance information of the human target, determine the position of the heart in the contour information according to the heart distance information, and determine the posture of the human target according to the relative position relationship between the position of the heart and the contour information.

[0034] From the above description of the present invention, it can be seen that compared with the prior art, the present invention has the following beneficial effects:

[0035] 1. In the present invention, the first sensor component, the second sensor component, the two-dimensional receiving sensor component and the signal processor are used in combination to detect the relative position of the heart position and the contour information of the human target to detect the posture, thereby realizing multiple combined and non-sensing human posture recognition and avoiding privacy leakage problems caused by the use of cameras.

[0036] 2. In the present invention, the first detection signal emitted by the laser radar is reflected by the human target and then emitted into different positions on the two-dimensional receiving sensor component. The signal processor is used to calculate multiple sets of continuous first distance information, which are then arranged in a two-dimensional array to obtain contour information with high measurement accuracy.

[0037] 3. In the present invention, the second detection signal reflected by the microwave radar is reflected by the human target and then emitted into different positions on the two-dimensional receiving sensor component. The signal processor calculates and obtains multiple sets of continuous second distance information and arranges the heart distance information therein in the form of a two-dimensional array. It is less affected by the environment, has high sensitivity and strong adaptability.

[0038] 4. The present invention includes determining the orientation of a human target based on the relative positional relationship between the position of the heart and the center line of the contour information, including forward, backward, sideways, and transformations of different orientations; and determining the posture of a human target based on the distance between the position of the heart and the baseline, including standing, sitting, lying, and transformations of different postures. The detectable postures are diverse, thereby meeting the interaction needs of smart products with different functions.

[0039] 5. In the present invention, the operation of related intelligent products is controlled according to the detected posture, thereby realizing senseless interaction, which can be applied to various human-computer interaction scenarios, such as home bathroom scenarios, etc. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 A schematic diagram of the human body;

[0041] Figure 2 Schematic diagram of different orientations of the human body;

[0042] Figure 3 This is a system structure diagram of the present invention;

[0043] Figure 4 Schematic diagram of human target contour detection;

[0044] Figure 5 Schematic diagram of human target heart position detection;

[0045] Figure 6 Schematic diagram of the two-dimensional arrangement of contour information and heart position;

[0046] Figure 7 Schematic diagram of the heart position when the human body is oriented in different directions;

[0047] Figure 8 Schematic diagram of different postures of human targets;

[0048] Figure 9 Schematic diagram of the human body moving in different directions;

[0049] in:

[0050] 10, first sensing assembly; 11, first optical lens; 20, second sensing assembly; 21, second optical lens; 30, two-dimensional receiving sensing assembly; 31, third optical lens; 40, signal processor; 50, controller; 60, housing; 70, human body target; 71, heart.

[0051] The application will be further described in conjunction with the drawings and specific embodiments. DETAILED DESCRIPTION

[0052] The application will be further described in conjunction with the drawings and specific embodiments.

[0053] Referring to Figure 1 , the main organs of a normal human body are symmetrically distributed, and the heart is located on the left side of the human body. When the human body stands, the position of the heart changes relative to different directions. Referring to Figure 2 , based on this rule, the application proposes a human body door panel posture detection method, which detects the peripheral contour of the human body by setting a sensor, and simultaneously detects the position of the heart (detects the characteristics of the heart beat). The relative positions of the peripheral contour and the heart can be combined to obtain various postures of the human body target.

[0054] Specifically, the human body target posture detection method of the application comprises:

[0055] 1) The first sensing assembly 10 emits a first detection signal, and the two-dimensional receiving sensing assembly 30 receives the signal reflected by the human body target 70. The signal processor 40 processes the signal received by the two-dimensional receiving sensing assembly 30 to obtain the contour information of the human body target 70.

[0056] In the application, referring to Figure 3 , the first sensing assembly 10 adopts a microwave radar, and the emitted first detection signal is a frequency-modulated continuous wave FMCW, which can adopt blue light with a wavelength of 400-500 nm and is a continuous multi-point (linear form) laser signal. The two-dimensional receiving sensing assembly 30 adopts a two-dimensional CMOS array, and the two-dimensional array arranged sensing elements are arranged on the two-dimensional CMOS array.

[0057] The first detection signal is reflected by the human body target 70 and then enters different position sensing elements on the two-dimensional receiving sensing assembly 30. The signal processor 40 calculates a plurality of groups of continuous first distance information and arranges them in a two-dimensional array form to obtain the contour information.

[0058] Among them, the signal processor 40 calculates the laser signal transmission time (TOF) and further calculates the distance between the human body target 70 and the corresponding first sensing assembly 10 (laser triangulation ranging method), and displays the obtained plurality of groups of continuous first distance information in a two-dimensional array form.

[0059] Referring toFigure 4 The first detection signal is L1, and the signal reflected by the human body is L2. Continuous multiple points (p1, p2, ... pn) on the human body form a single cross section X1, which is reflected on the two-dimensional receiving sensor component 30 to obtain a contour line X1' consisting of corresponding distance signals. Then, the scanning form of multiple groups of continuous linear lasers (X1, X2, ..., Xn) can generate corresponding contour line groups (X1', X2', ..., Xn') on the two-dimensional receiving sensor component 30 to form contour information, see Figure 5 .

[0060] 2) The second detection signal is emitted by the second sensor component 20, and the signal reflected by the human target 70 is received by the two-dimensional receiving sensor component 30. The signal processor 40 processes the signal received by the two-dimensional receiving sensor component 30 to obtain heart distance information and determines the position of the heart in the contour information based on the heart distance information.

[0061] After being reflected by the human target 70, the second detection signal is emitted into different positions on the two-dimensional receiving sensor component 30. The signal processor 40 calculates multiple sets of continuous second distance information and arranges the heart distance information therein in the form of a two-dimensional array. Specifically, the second sensor component 20 uses a microwave radar sensor for transmitting frequency modulated continuous wave (FMCW) as the second detection signal, which uses a 60G-80GHZ frequency band. After the signal is reflected by the target human body, it is received by the two-dimensional receiving sensor component. The signal processor 40 calculates the microwave radar signal transmission time (TOF) by utilizing the phase difference between the reflected signal and other surrounding reflected signals caused by the beating of the human heart, and then calculates the second distance signal corresponding to each measured point at the heart position on the human target 70 and the second sensor component 20, that is, the heart distance information, and arranges them in the form of a two-dimensional array for display. See Figure 6 Schematic diagram of heart position identification.

[0062] 3) The signal processor 40 determines the posture of the human target 70 based on the relative position relationship between the position of the heart and the contour information.

[0063] In this step, the posture of the human target 70 includes the orientation, posture, and movement transformation of the human target 70, as follows:

[0064] The center line is taken from the contour information of the human body target 70, and the orientation of the human body target 70 is determined based on the relative position relationship between the position of the heart and the center line of the contour information. Figure 7 , specifically including the following situations:

[0065] If the heart is located to the left of the center line of the contour information, the orientation of the human target 70 is determined to be positive, that is, the front of the human target 70 faces the locations of the first sensor component 10, the second sensor component 20 and other structures.

[0066] If the position of the heart is on the right side of the center line of the contour information, it is determined that the orientation of the human target 70 is back, i.e. the front of the human target 70 faces away from the position of the first sensing assembly 10, the second sensing assembly 20 and other structures.

[0067] If the position of the heart is on the center line of the contour information, it is determined that the orientation of the human target 70 is side, i.e. the side of the human target 70 faces the position of the first sensing assembly 10, the second sensing assembly 20 and other structures.

[0068] Based on this, the action transformation of determining the orientation of the human target 70, i.e. the action connection switching between the three, such as from front to side, from back to side, from front to back, etc. can also be determined.

[0069] Further, a reference line is selected in the contour information, which can be defined as the ground on which the human target 70 is located, and the posture of the human target 70 is determined according to the distance between the position of the heart and the reference line, see Figure 8 , which specifically includes the following:

[0070] If the distance between the position of the heart and the reference line is greater than or equal to H1, it is determined that the human target 70 is in a standing posture. That is, when the height between the position of the heart and the reference line is a, and a≥H1 is maintained, it is determined that the human target 70 is in a standing posture.

[0071] If the distance between the position of the heart and the reference line is less than or equal to H2, it is determined that the human target 70 is in a lying posture. That is, when the height between the position of the heart and the reference line is c, and c≤H2 is maintained.

[0072] If the distance between the position of the heart and the reference line is less than H1 and greater than H2, it is determined that the human target 70 is in a sitting posture, and the height between the position of the heart and the reference line in the sitting posture in the figure is b, then H2

[0073] H1 and H2 are pre-set height thresholds, and H1 is greater than H2. The values of H1 and H2 can be set according to different populations, and are not specifically limited.

[0074] Further, the posture transformation of the human target 70, i.e. the action connection switching between the three, is also determined according to the distance change between the position of the heart and the reference line, which specifically includes the following:

[0075] If the distance between the position of the heart and the reference line changes from greater than or equal to H1 to less than H1 and greater than H2, it is determined that the posture of the human target 70 changes from standing to sitting.

[0076] If the distance between the position of the heart and the reference line changes from less than H1 and greater than H2 to less than or equal to H2, it is determined that the human target 70 changes from a sitting posture to a lying posture.

[0077] If the distance between the position of the heart and the reference line changes from less than H2 to greater than or equal to H1, it is determined that the posture of the human target 70 changes from a lying posture to a standing posture.

[0078] The postures of the present application also include combinations of the above-mentioned postures, such as a forward standing posture, a sideways standing posture, a backward standing posture, a forward squatting posture, a backward squatting posture, etc.

[0079] In the present application, the first sensing assembly 10, the second sensing assembly 20, the two-dimensional receiving sensing assembly 30, and the signal processor 40 are used in cooperation to further detect the translation of the human target 70, including approaching or moving away from each assembly or moving left or right, etc., as shown in Figure 9 In combination with the above-mentioned postures, the combination of the turning and moving of the human target 70 can also be fed back, such as approaching from the front, moving away from the back, turning and approaching, and turning and moving away, etc.

[0080] Based on this, the present application further proposes a human target posture detection system, which includes a first sensing assembly 10, a second sensing assembly 20, a two-dimensional receiving sensing assembly 30, a signal processor 40, a controller 50, and a housing 60, etc.

[0081] The first sensing assembly 10 is used to emit a first detection signal, which can be implemented by using a laser sensor in cooperation with a first optical lens 11, and the first optical lens 11 is located at the signal emission end of the laser sensor. The second sensing assembly 20 is used to emit a second detection signal, which can be implemented by using a microwave radar sensor in cooperation with a second optical lens 21, and the second optical lens is located at the signal emission end of the microwave radar sensor.

[0082] The two-dimensional receiving sensing assembly 30 receives the signals reflected by the human target 70 from the first detection signal and the second detection signal. The two-dimensional receiving sensing assembly 30 is implemented by using a two-dimensional CMOS array in cooperation with a third optical lens 31, and the third optical lens 31 is located at the signal incidence end of the two-dimensional CMOS array.

[0083] The signal processor 40 is used to process the signals received by the two-dimensional receiving sensing assembly 30 to obtain the contour information and the heart distance information of the human target 70, determine the position of the heart in the contour information according to the heart distance information, and determine the posture of the human target 70 according to the relative position relationship between the position of the heart and the contour information.

[0084] The controller 50 is connected to the first sensor assembly 10, the second sensor assembly 20, the two-dimensional receiving sensor assembly 30, and the signal processor 40 to control the operation of each component. The first sensor assembly 10, the second sensor assembly 20, the two-dimensional receiving sensor assembly 30, the signal processor 40, and the controller 50 are installed in a housing 60. The housing 60 has windows for transmitting and receiving detection signals, and three optical lenses are installed in these windows.

[0085] The system of the present invention adopts the above-mentioned human target posture detection method to detect the posture of the human target 70.

[0086] The system of the present invention can be installed in suitable indoor locations, such as bedrooms, bathrooms, and shower rooms. For example, in a bathroom, if a human subject 70 is detected rapidly changing from a standing position to a lying position in a slippery bathroom space, it is determined to be a fall, and a remote alarm can be activated to request assistance. For example, in a bedroom, the system can monitor the heart rate of a human subject 70 while lying down, i.e., sleeping.

[0087] The present invention also provides a toilet control method, which identifies the posture of a human target 70 based on the above-mentioned human target posture detection method, and controls the toilet to execute a corresponding control program according to the identified posture.

[0088] The toilet is a conventional smart toilet with functions such as automatic lid opening and closing, full flush, full flush, foam splash prevention, posterior wash, and feminine wash. The toilet's control module executes corresponding functions based on received commands. A detection system consisting of a first sensor assembly 10, a second sensor assembly 20, a two-dimensional receiving sensor assembly 30, a signal processor 40, and a controller 50 is installed on or near the toilet, and the controller 50 is connected to the toilet's control module.

[0089] The posture of the human target 70 identified by the human target 70 posture detection method includes at least the direction, standing posture, lying posture, sitting posture and the transition between various actions of the human target 70, and the actions of the toilet include at least automatic opening and closing of the lid, small flushing, large flushing, foam splash prevention and fall alarm.

[0090] The specific instructions are as follows:

[0091] (1) When it is detected that the human target 70 is rapidly approaching the toilet, it is determined that the human target 70 may need to defecate, and the cover and seat are controlled to open, and the foam output is controlled to increase, and the anti-splash function is activated.

[0092] (2) When a human target 70 is detected passing by the toilet sideways, it can be determined that the human target 70 has no intention of using the toilet, and the lid is kept closed to avoid automatically opening the lid when the human target 70 enters the recognition area.

[0093] (3) When the human target 70 is detected standing up and using the toilet, it can be identified as a male urinating. After use, the toilet can be controlled to start a small flush without pressing the small flush button, which is energy-saving and convenient.

[0094] In actual applications, other control functions may also be included, which are not listed here one by one.

[0095] The present invention also provides a control method for a smart home product, which identifies the posture of a human target based on the above-mentioned human target posture detection method, and controls the operation of the smart home product according to the identified posture.

[0096] The system of the present invention is installed indoors to establish a connection and communication between its controller 50 and smart home products, including smart toilets, smart urinals, smart squat toilets, smart curtains, smart lighting, smart TVs, sweeping robots, etc.

[0097] In the morning, when the human target 70 is detected to change from a lying position to a sitting position or a standing position, it is determined that the human target 70 is in a state of waking up, and the smart home function can be triggered accordingly, such as controlling the smart curtains to open for ventilation, turning on the lighting atmosphere lights, and pushing music or news.

[0098] At night, when it is detected that the human target 70 changes from a sitting or standing position to a lying position, it is judged that the person has entered a sleep and resting state, and the smart lighting can be controlled to turn off the lighting, turn off the smart TV, etc., and the sweeping robot can also be controlled to start cleaning; at night, when it is detected that the human target 70 changes from a lying position to a sitting or standing position, it is judged that the person needs to get up at night to go to the bathroom, and the night light of the smart lamp can be controlled to turn on, etc.

[0099] The method and system of the present invention, through the collaboration of a first sensor component 10, a second sensor component 20, a two-dimensional receiving sensor component 30, and a signal processor 40, detects the posture of a human target 70 by detecting its outline and heart position. Based on the detected posture, the system controls the operation of related smart products, achieving seamless interaction. This system can be applied to various human-computer interaction scenarios, but the above description uses a home bathroom scenario as an example.

[0100] In the present application, the terms "first", "second", "third" and the like are used only to distinguish similar objects, and do not have to be used to describe a particular order or sequence, nor can they be understood to indicate or imply relative importance. In the description, the orientation or position relationship indicated by "upper", "lower", "left", "right", "front" and "back" and the like is based on the orientation or position relationship shown in the drawings, and is only for the convenience of describing the present application, and does not indicate or imply that the device referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as limiting the scope of protection of the present application. For those of ordinary skill in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0101] In addition, in the description of the present application, "a plurality of" means two or more, unless otherwise specified. The association relationship between the associated objects described by "and / or" indicates that there can be three relationships, for example, A and / or B can represent three cases: A exists alone, A and B exist together, and B exists alone. The character " / " generally represents an "or" relationship between the associated objects before and after it.

[0102] The above is only a specific embodiment of the present application, but the design concept of the present application is not limited thereto, and any non-essential modification of the present application using this concept shall be deemed to infringe the scope of protection of the present application.

Claims

1. A method for detecting human body posture, characterized in that: include: Using the first sensing component to transmit a first detection signal, the two-dimensional receiving sensing component receives the signal reflected by the human target, and the signal processor processes the signal received by the two-dimensional receiving sensing component to obtain contour information of the human target; emitting a second detection signal using a second sensing component, receiving a signal reflected by a human target using a two-dimensional receiving sensing component, processing the signal received by the two-dimensional receiving sensing component by a signal processor to obtain heart distance information, and determining a position of the heart in the contour information based on the heart distance information; The signal processor determines the posture of the human target according to the relative position relationship between the position of the heart and the contour information.

2. A method for detecting a human body posture as claimed in claim 1, characterized in that: The first detection signal is reflected by the human target and then emitted into different positions on the two-dimensional receiving sensor component. The signal processor calculates and obtains multiple sets of continuous first distance information and arranges them in a two-dimensional array to obtain the contour information.

3. A method for detecting a human body posture as claimed in claim 1, characterized in that: The second detection signal is reflected by the human target and then emitted into different positions on the two-dimensional receiving sensor component. The signal processor calculates and obtains multiple sets of continuous second distance information and arranges the heart distance information therein in a two-dimensional array.

4. A method for detecting a human body posture as claimed in claim 1, characterized in that: The method includes determining the orientation of the human target according to the relative position relationship between the position of the heart and the center line of the contour information, specifically comprising: If the position of the heart is located on the left side of the center line of the contour information, then the orientation of the human body target is determined to be positive; If the position of the heart is located on the right side of the center line of the contour information, it is determined that the orientation of the human body target is back-facing; If the position of the heart is located on the center line of the contour information, it is determined that the orientation of the human body target is lateral.

5. A method for detecting a human body posture as claimed in claim 1, characterized in that: The method includes selecting a reference line from the contour information and determining the posture of the human target according to the distance between the position of the heart and the reference line, specifically including the following: If the distance between the heart and the baseline is greater than or equal to H1, the human body target is determined to be in a standing position; If the distance between the heart and the baseline is less than or equal to H2, it is determined that the human body target is in a lying position; If the distance between the heart position and the reference line is less than H1 and greater than H2, it is determined that the human body target is in a sitting position.

6. A method for detecting human body posture according to claim 5, characterized in that: The method further includes determining a posture change of the human target according to a change in the distance between the position of the heart and the reference line, specifically including the following: If the distance between the heart and the reference line changes from being greater than or equal to H1 to being less than H1 and greater than H2, it is determined that the posture of the human target changes from standing to sitting; If the distance between the heart and the reference line changes from less than H1 and greater than H2 to less than or equal to H2, it is determined that the human body target changes from a sitting position to a lying position; If the distance between the position of the heart and the reference line changes from less than H2 to greater than or equal to H1, it is determined that the posture of the human target changes from lying down to standing.

7. A toilet control method, characterized in that: A human target posture detection method according to any one of claims 1 to 6 is used to identify the posture of a human target, and a toilet is controlled to execute a corresponding control program according to the identified posture.

8. A toilet control method according to claim 7, characterized in that: The identified posture of the human target includes at least the orientation, standing, lying or sitting posture of the human target, and the actions of the toilet include at least automatic lid opening, automatic lid closing, small flushing, large flushing, foam splash prevention or fall alarm.

9. A control method for a smart home product, characterized in that: A human target posture detection method according to any one of claims 1 to 6 is used to identify the posture of a human target, and to control the operation of smart home products according to the identified posture.

10. The control method of a smart home product according to claim 9, characterized in that: Smart home products include smart toilets, smart urinals, smart squat toilets, smart curtains, smart lighting, smart TVs, and sweeping robots.

11. A human target posture detection system, characterized in that: include: A first sensing component is used to transmit a first detection signal; A second sensing component is used to transmit a second detection signal; a two-dimensional receiving sensor component for receiving a signal reflected by the human body target from the first detection signal and a signal reflected by the human body target from the second detection signal; A signal processor is used to process the signal received by the two-dimensional receiving sensor component to obtain the contour information and heart distance information of the human target, determine the position of the heart in the contour information according to the heart distance information, and determine the posture of the human target according to the relative position relationship between the position of the heart and the contour information.

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