Non-contact sensing method, device and system

Abstract

The invention discloses a non-contact sensing method, device and system which are used for improving target sensing performance. The method comprises the following steps: acquiring first information, wherein the first information is associated with first channel state information (CSI) and second CSI of a first frequency point; wherein the first CSI is the CSI of a link between the first node and the second node, and the second CSI is the CSI of a link between the second node and the first node; and based on the first information, determining a perceptual feature of the target.

Description

Technical Field

[0001] The present application relates to the field of communication technology, and in particular to a contactless sensing method, device and system. Background Art

[0002] With the continuous development of communication technology, the application of communication technology is becoming more and more extensive. Among them, some wireless communication technologies are used to achieve contactless sensing, and contactless sensing has been widely used in industrial production, intelligent transportation, medical diagnosis and other fields. Among them, contactless sensing refers to obtaining the characteristics of the target (such as biometrics, human posture, etc.) without the target carrying any device or having any contact with the device. Compared with contact sensing, contactless sensing has the advantages of non-intrusiveness, convenience and low cost.

[0003] For example, in some technical solutions, the user's breathing rate is determined based on the received signal strength (RSS) of WiFi. However, it is impossible to perceive small chest movements based on RSS, resulting in low accuracy in detecting the breathing rate. In addition, the phase shift phenomenon of commercial WiFi is also a drawback of using WiFi for ventilator detection.

[0004] It can be seen that the existing non-contact sensing methods may have problems such as condition mismatch, insufficient accuracy, and poor adaptability in specific application scenarios. Summary of the invention

[0005] The embodiments of the present application provide a non-contact sensing method, device and system for improving the performance of target perception.

[0006] In the first aspect, the embodiment of the present application provides a contactless sensing method, which can be performed by a contactless sensing device, which can be an independent device, a chip or component in a device, or software, and the contactless sensing device can be configured in a terminal device. For example, the contactless sensing device can be an application program that can be installed or run in a chip or component of a terminal device, or on a smart device such as a mobile phone or tablet computer in the terminal device. Alternatively, the contactless sensing device can be a software module that can be deployed in a terminal device. Alternatively, the contactless sensing device can be a newly added hardware module in the terminal device, and the hardware module can be configured with relevant judgment logic or algorithm to implement the contactless sensing method of the embodiment of the present application.

[0007] The method includes: acquiring first information, the first information being associated with first channel state information CSI and second CSI of a first frequency point; wherein the first CSI is the CSI of a link between a first node and a second node, and the second CSI is the CSI of a link between a second node and the first node; and determining the perceptual characteristics of a target based on the first information.

[0008] In one case, the first CSI is the CSI of the link between the first node and the second node, and the second CSI is the CSI of the link between the second node and the first node. It can be understood that the first CSI and the second CSI are CSIs in different directions of the same communication link. In other words, the first CSI and the second CSI are CSIs in different directions of the same antenna. Correspondingly, in this embodiment, the first node and / or the second node can be a single antenna device. And there are non-ideal factors or other factors (such as multipath effects, frequency offsets, noise interference, etc.) in the transceiver channel between the first node and the second node, and the CSIs in different directions between the first node and the second node are different. Therefore, the subsequent construction of the third CSI based on the first CSI and the second CSI can eliminate the influence of the target perception process such as the phase offset and / or amplitude offset of the unidirectional CSI (ie, the first CSI and / or the second CSI), thereby effectively improving the performance of target perception.

[0009] In another case, the first CSI is the CSI on the first communication link between the first node and the second node, and the second CSI is the CSI on the second communication link between the first node and the second node; the first communication link is the communication link corresponding to the first antenna, the second communication link is the communication link corresponding to the second antenna, and the first antenna and the second antenna are different antennas between the first node and the second node. Correspondingly, in this embodiment, the first node and the second node can be multi-antenna devices. Among them, the CSI on different communication links is different, so the subsequent construction of the third CSI based on the first CSI and the second CSI can eliminate the influence of the target perception process such as the phase offset and / or amplitude offset of the unidirectional CSI (i.e., the first CSI and / or the second CSI), thereby effectively improving the performance of target perception.

[0010] It can be seen from the above that the contactless sensing method provided in the embodiment of the present application can be applicable to single-antenna devices and multi-antenna devices.

[0011] In a possible design, the target's perception features include physiological indicators and human body postures. The physiological indicators may include at least one of electrocardiogram, heart rate, respiratory rate, non-invasive blood pressure, blood oxygen concentration, or pulse rate. The human body postures may include, for example, falling postures, walking, stillness, kicking movements, hand gestures, and other related behaviors.

[0012] In the embodiment of the present application, the first information is associated with the first channel state information CSI and the second CSI of the first frequency point, and may include but is not limited to the following implementation modes:

[0013] In implementation mode 1, the first information is the first CSI and the second CSI corresponding to the first frequency point. Accordingly, the contactless sensing device obtains the first CSI and the second CSI in the following situations:

[0014] Case 1: When the contactless sensing method is applied to the first node, the first node receives a first CSI from the second node, and the first CSI is associated with a first sensing signal sent by the first node; and the first node receives a second sensing signal from the second node, and determines the second CSI based on the second sensing signal.

[0015] Case 2: When the contactless sensing method is applied to the second node, the second node receives a first sensing signal from the first node, and determines a first CSI based on the first sensing signal; and the second node receives a second CSI from the first node, and the second CSI is associated with the second sensing signal sent by the second node.

[0016] Case 3: When the contactless sensing method is applied to the third node, the third node receives a first CSI from the second node, and the first CSI is associated with a first sensing signal sent by the first node; and the third node receives a second CSI from the first node, and the second CSI is associated with a second sensing signal sent by the second node.

[0017] In implementation mode 1, the perception characteristics of the target are determined directly based on the first CSI and the second CSI in different directions of the same communication link, which can effectively improve the perception performance of the target.

[0018] In the second implementation mode, the first information is a temporary perception feature of a third CSI or a target; wherein the third CSI or the temporary perception feature of the target is associated with the first CSI and the second CSI. Among them, "the third CSI is associated with the first CSI and the second CSI" can be understood as the third CSI is determined based on the first CSI and the second CSI, and "the temporary perception feature of the target is associated with the first CSI and the second CSI" can be understood as the temporary perception feature of the target is determined based on the first CSI and the second CSI. Accordingly, when the contactless perception method is applied to the fourth node, the fourth node can receive the third CSI from the second node or the first node; or, the fourth node can receive the third CSI from the second node or the first node and receive the temporary perception feature of the target from the second node or the first node.

[0019] In implementation mode 2, the fourth node may determine the perceptual features of the target based on the received third CSI, which may effectively improve the performance of perceiving the target. Alternatively, the fourth node may determine the perceptual features of the target based on the received temporary perceptual features of the target, so that the determined perceptual features of the target are more accurate.

[0020] In a possible design, the first CSI and the second CSI correspond to the same antenna port pair. The “first CSI and the second CSI correspond to the same antenna port pair” can be understood as the first CSI and the second CSI are obtained based on the perception signal transmitted between the same transceiver antenna. For example, the first node 101 includes antenna 1, which has a transceiver function, and the second node 102 includes antenna 2, which has a transceiver function; the first node 101 can send perception signal 1 to the second node 102 through antenna 1, the second node 102 receives perception signal 1 through antenna 2, and the second node 102 can calculate the first CSI based on perception signal 1; and the second node 1012 can send perception signal 2 to the first node 101 through antenna 2, the first node 101 receives perception signal 2 through antenna 1, and the first node 101 can calculate the second CSI based on perception signal 2. In short, the first CSI is calculated based on perception signal 1 transmitted between antenna 1 and antenna 2, and the second CSI is calculated based on perception signal 2 transmitted between antenna 2 and antenna 1.

[0021] In a possible design, determining the perceptual characteristics of the target based on the first information includes: constructing a third CSI based on the first CSI and the second CSI; and determining the perceptual characteristics based on the third CSI. In this design, the influence of the phase offset and amplitude noise of the first CSI and the second CSI on the target perception process can be eliminated, thereby effectively improving the performance of target perception.

[0022] In one possible design, a third CSI is constructed based on a first CSI and a second CSI, including: performing a first operation on the first CSI and the second CSI to obtain the third CSI; wherein the first operation is any one of the following: multiplying the first CSI and the second CSI, multiplying the first CSI and the second CSI conjugate, dividing the first CSI and the second CSI, or dividing the first CSI and the second CSI conjugate. In this design, multiple ways of eliminating the phase offset and amplitude noise of the first CSI and the second CSI are provided, so that the non-contact sensing method provided in the embodiment of the present application can be flexibly implemented.

[0023] In one possible design, based on the third CSI, determining the perceptual features includes: extracting the amplitude and / or phase corresponding to the third CSI; determining the statistical features of the amplitude and / or the statistical features of the phase; wherein the statistical features of the amplitude include at least one of the period of change of the amplitude within the first time length, the variance of the power spectrum density, or Doppler frequency shift (DFS) information, and the statistical features of the phase include at least one of the period of change of the phase within the first time length, the variance of the power spectrum density, or DFS information; determining the perceptual features based on the statistical features of the amplitude and / or the statistical features of the phase. In this design, the perceptual features of the target can be determined based on the statistical features of the amplitude and / or the statistical features of the phase corresponding to the third CSI.

[0024] In one possible design, the perceptual features are determined based on the statistical features of the amplitude and / or the statistical features of the phase, including: when the power spectrum density variance of the amplitude is greater than the power spectrum density variance of the phase, the perceptual features are determined based on the statistical features of the amplitude; or, when the power spectrum density variance of the amplitude is less than the power spectrum density variance of the phase, the perceptual features are determined based on the statistical features of the phase. Among them, "the power spectrum density variance of the amplitude is greater than the power spectrum density variance of the phase" can be understood as the power spectrum density of the amplitude changes more than the power spectrum density of the phase, and "the power spectrum density variance of the amplitude is less than the power spectrum density variance of the phase" can be understood as the power spectrum density of the amplitude changes less than the power spectrum density of the phase. Therefore, in this design, the perceptual features of the target are determined based on the feature that the power spectrum density variance of the third CSI changes more than the phase, which can further improve the performance of target perception.

[0025] In a possible design, when the sensing feature is the breathing frequency, the sensing feature is determined based on the statistical features of the amplitude and / or the statistical features of the phase, including: converting the change period of the amplitude within the first time length and / or the change period of the phase within the first time length into a first waveform; calculating the average time interval between k peaks or k troughs in the first waveform, the average time interval is used to characterize the time interval between two breaths of the user; and determining the breathing frequency based on the average time interval. In this design, the breathing frequency of the target is detected based on the change period of the amplitude within the first time length and / or the change period of the phase within the first time length, so that the determined breathing frequency is more accurate.

[0026] In a possible design, when the perception feature is a human posture, the perception feature is determined based on the statistical features of the amplitude and / or the statistical features of the phase, including: inputting the DFS information of the amplitude within the first time length and / or the DFS information of the phase within the first time length into a classifier to obtain the human posture. In this design, the human posture of the target is detected based on the DFS information of the amplitude within the first time length and / or the DFS information of the phase within the first time length, so that the determined human posture is more accurate.

[0027] In one possible design, the first CSI is N CSIs, the second CSI is N CSIs, and the third CSI includes N CSIs.

[0028] In one possible design, a power spectral density variance of an amplitude of the third CSI corresponding to the first frequency point is greater than a first threshold, and / or a power spectral density variance of a phase of the third CSI corresponding to the first frequency point is greater than a second threshold.

[0029] In one possible design, the first frequency point is one of M frequency points, and the method further includes: obtaining the first CSI and the second CSI corresponding to other frequency points among the M frequency points except the first frequency point; the power spectrum density variance of the amplitude of the third CSI corresponding to the first frequency point is greater than the power spectrum density variance of the amplitude of the third CSI corresponding to other frequency points, and the power spectrum density variance of the phase of the third CSI corresponding to the first frequency point is greater than the power spectrum density variance of the phase of the third CSI corresponding to other frequency points. In this design, the frequency point with a larger power spectrum density variance of the amplitude and phase is used as the first frequency point for determining the perceptual characteristics of the target, which can further improve the performance of target perception.

[0030] In a second aspect, an embodiment of the present application provides a contactless sensing device, which may be an integrated circuit or a chip system. The device has the function of implementing the above-mentioned first aspect or each possible implementation method based on the first aspect. The function may be implemented by hardware, or by hardware executing corresponding software. The hardware or software includes one or more modules / units corresponding to the above-mentioned functions.

[0031] In a third aspect, an embodiment of the present application provides a communication device, comprising at least one processor and an interface circuit, wherein the interface circuit is used to receive signals from other communication devices outside the communication device and transmit them to the processor or send signals from the processor to other communication devices outside the communication device, and the processor is used to implement the method described in the above-mentioned first aspect or each possible design based on the first aspect through a logic circuit or execution code instructions. Optionally, the communication device further includes a memory. Alternatively, the memory may be located outside the device. Wherein, the memory is used to store programs or code instructions for execution by the at least one processor.

[0032] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, comprising instructions, which, when executed on a computer, enables the computer to execute the method described in the first aspect or in various possible designs based on the first aspect.

[0033] In a fifth aspect, an embodiment of the present application further provides a computer program product, which, when executed on a computer, enables the computer to execute the method described in the first aspect or in various possible designs based on the first aspect.

[0034] In a sixth aspect, an embodiment of the present application further provides a chip system, including a processor, the processor is coupled to a memory, the memory is used to store programs or instructions, and when the programs or instructions are executed by the processor, the chip system implements the method described in the first aspect or in each possible design based on the first aspect. The memory may be located inside the chip system or outside the chip system. And the processor includes one or more.

[0035] In the seventh aspect, an embodiment of the present application also provides a communication system, including a first node, a second node, a third node, and a fourth node for executing the above-mentioned first aspect or various possible designs based on the first aspect.

[0036] In an eighth aspect, an embodiment of the present application further provides a terminal, which may include the communication device in the second aspect or the third aspect. Exemplarily, the terminal includes but is not limited to any of the following devices: smart home devices (such as TVs, sweeping robots, smart desk lamps, audio systems, smart lighting systems, electrical control systems, home background music, home theater systems, intercom systems, video surveillance, etc.), smart transportation equipment (such as cars, ships, drones, trains, trucks, trucks, etc.), smart manufacturing equipment (such as robots, industrial equipment, smart logistics, smart factories, etc.), smart terminals (mobile phones, computers, tablet computers, PDAs, desktops, headphones, audio, wearable devices, vehicle-mounted devices, virtual reality devices, augmented reality devices, etc.).

[0037] It should be understood that for the technical effects of the second to eighth aspects mentioned above, please refer to the corresponding technical effect description in the first aspect mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 A possible system architecture diagram provided for an embodiment of the present application;

[0039] Figure 2 A schematic diagram of a flow chart of a non-contact sensing method provided in an embodiment of the present application;

[0040] Figure 3A flowchart of another non-contact sensing method provided in an embodiment of the present application;

[0041] Figure 4 A flowchart of another non-contact sensing method provided in an embodiment of the present application;

[0042] Figure 5 A flowchart of another non-contact sensing method provided in an embodiment of the present application;

[0043] Figure 6 A flowchart of another non-contact sensing method provided in an embodiment of the present application;

[0044] Fig. 7A A possible scenario diagram provided for an embodiment of the present application;

[0045] Figure 7B A schematic diagram of signal transmission provided in an embodiment of the present application;

[0046] Figure 8 A flowchart of another non-contact sensing method provided in an embodiment of the present application;

[0047] Fig.9A One of the waveform diagrams provided in the embodiment of the present application;

[0048] Fig. 9B The second waveform diagram provided in the embodiment of the present application;

[0049] Fig. 9C The third waveform diagram provided in the embodiment of the present application;

[0050] Fig.10 A schematic diagram of another possible scenario provided for an embodiment of the present application;

[0051] Fig.11 A flowchart of another non-contact sensing method provided in an embodiment of the present application;

[0052] Fig.12 A schematic diagram of the process of human body posture recognition provided by an embodiment of the present application;

[0053] Fig.13 A schematic diagram of the structure of a non-contact sensing device provided in an embodiment of the present application;

[0054] Fig.14 A schematic diagram of the structure of a chip system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the embodiments of the present application will be further described in detail below with reference to the accompanying drawings.

[0056] Below, some terms in the embodiments of the present application are explained to facilitate understanding by those skilled in the art.

[0057] 1) Channel State Information (CSI), which is used to describe the characteristics and status of the wireless channel. In wireless communications, signals are affected by many factors during propagation, such as multipath propagation, fading, interference, etc., as well as non-ideal factors of the transceiver's transceiver, etc. These factors will cause the characteristics of the channel (or equivalent channel) to vary over time and space. CSI provides information about the channel, including amplitude, phase, and frequency response. In some embodiments, CSI includes a channel gain matrix H, which represents the channel characteristics when the signal is transmitted from the transmitting antenna to the receiving antenna. In a MIMO (multiple input multiple output) system with M transmitting antennas and N receiving antennas, H is an N×M matrix, in which each element represents the channel gain or channel coefficient from the transmitting antenna to the receiving antenna.

[0058] 2) Target, i.e., the person, object, or animal to be sensed. For example, in a health monitoring scenario, the target can be a person. For another example, in a vehicle tailgate kick detection scenario, the target can be a person and / or the trunk of the vehicle.

[0059] 3) The perceived characteristics of the target, i.e., the characteristics of the target to be perceived. In the embodiment of the present application, the perceived characteristics of the target include physiological indicators and human body postures. Among them, the physiological indicators may include, for example, at least one of heart rate, electrocardiogram, respiratory rate, non-invasive blood pressure, blood oxygen concentration, or pulse rate. Human body postures may include, for example, falling postures, walking, stillness, kicking movements, gestures, and other related behaviors.

[0060] 4) "At least one" means one or more, and "multiple" means two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can mean: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple. And, unless otherwise specified, the ordinal numbers such as "first" and "second" mentioned in the embodiments of the present application are used to distinguish multiple objects, and are not used to limit the order, timing, priority or importance of multiple objects. For example, the first CSI and the second CSI are only used to distinguish different CSIs, but do not indicate the difference in content, priority, transmission order or importance of the two types of CSIs.

[0061] As described above, some concepts involved in the embodiments of the present application are introduced. The following describes the technical features of the embodiments of the present application.

[0062] The embodiments of the present application provide a contactless sensing method, device and system for improving the performance of target perception. In this method, the perception characteristics of the target are determined based on the first information associated with multiple CSIs (i.e., the first CSI and the second CSI), which can eliminate the influence of the phase offset and / or amplitude offset of the unidirectional CSI on the target perception process, thereby effectively improving the performance of target perception. In addition, the first CSI and the second CSI can be CSIs in different directions of the same communication link, so that the contactless sensing method provided by the embodiments of the present application can be applied to single-antenna receiving end devices and multi-antenna receiving end devices, thereby effectively improving the scope of application of contactless sensing. In the following, the method and the device are based on the same technical concept. Since the principles of solving the problems by the method and the device are similar, the implementation of the device and the method can refer to each other, and the repeated parts will not be repeated.

[0063] The non-contact sensing method provided in the embodiment of the present application can be applied to any scenario requiring target sensing, for example, in vehicle-mounted wireless sensing scenarios, indoor health monitoring, intrusion monitoring, remote medical diagnosis, respiratory rate detection, gesture-controlled games, and the like.

[0064] Furthermore, the contactless sensing method provided in the embodiment of the present application is applicable to communication systems based on orthogonal frequency division multiplexing (OFDM) waveforms, such as wireless LAN (wireless fidelity, WIFI) systems, new radio access technology (New Radio, NR) systems, or long-term evolution technology (long-term evolution, LTE) systems, or sparklink basic (sparklink basic, SLB) systems, etc. The method is also applicable to frequency hopping systems, such as Bluetooth systems and sparklink low energy (sparklink low energy, SLE) systems.

[0065] The following describes a system architecture applicable to the embodiments of the present application.

[0066] Figure 1 A schematic diagram of the architecture of a communication system applicable to an embodiment of the present application is shown.

[0067] See also Figure 1 As shown, the system includes a first node 101 and a second node 102, wherein the second node 102 and the first node 101 can exchange information, so that the second node 102 or the first node 101 can determine the perceptual characteristics of the target. In an optional implementation, the system may also include a third node 103, wherein the first node 101, the second node 102, and the third node 103 can exchange information, so that the third node 103 can determine the perceptual characteristics of the target. In another optional implementation, the system may also include a fourth node 104, wherein the first node 101, the second node 102, the third node 103, and the fourth node 104 can exchange information, so that the fourth node 104 can determine the perceptual characteristics of the target.

[0068] Among them, the above-mentioned first node 101, the second node 102, the third node 103 and the fourth node 104 can be understood as a module or device with corresponding functions, or the above-mentioned first node 101, the second node 102, the third node 103 and the fourth node 104 can be any communication node. In one design, the communication node can be a short-range communication node, such as any one of a Bluetooth terminal node, a Star Flash short-range communication terminal node or a wireless fidelity (wireless fidelity, WiFi) terminal node, and the embodiment of the present application does not make specific restrictions. Any one of the first node 101, the second node 102, the third node 103 and the fourth node 104 can be a T node or a G node in short-range communication.

[0069] Understandably, Figure 1 The architecture shown can be applied to a variety of communication scenarios, for example, the 5th generation (5G) communication system, the future 6th generation communication system and other evolved communication systems, long term evolution (LTE) communication system, vehicle to everything (V2X), long term evolution-vehicle network (LTE-vehicle, LTE-V), vehicle to vehicle (vehicle to vehicle, V2V), vehicle network, machine type communications (MTC), Internet of Things (IoT), long term evolution-machine to machine (LTE-machine to machine, LTE-M), machine to machine (machine to machine, M2M), and other communication scenarios, but this application is not limited to this.

[0070] based on Figure 1 The communication system shown, the embodiment of the present application proposes a contactless sensing method, which can be executed by a contactless sensing device, and the contactless sensing device can be an independent device, a chip or component in a device, or software, and the contactless sensing device can be configured in a terminal device. For example, the contactless sensing device can be an application program that can be installed or run in a chip or component of a terminal device, or on a smart device such as a mobile phone or tablet computer in the terminal device. Alternatively, the contactless sensing device can be a software module that can be deployed in a terminal device. Alternatively, the contactless sensing device can be a newly added hardware module in the terminal device, and the hardware module can be configured with relevant judgment logic or algorithm to implement the contactless sensing method of the embodiment of the present application.

[0071] See also Figure 2 , Figure 2 The flowchart of the non-contact sensing method provided by the embodiment of the present application is shown, and the method can be executed by the non-contact sensing device. Wherein, when the non-contact sensing device can be deployed in any one of the first node 101, the second node 102, the third node 103, or the fourth node 104, the method can be performed by Figure 1 The method is performed by any one of the first node 101, the second node 102, the third node 103, or the fourth node 104, the method comprising:

[0072] S201. Obtain first information, where the first information is associated with first CSI and second CSI of a first frequency point; the first CSI is the CSI of a link between a first node and a second node, and the second CSI is the CSI of a link between the second node and the first node.

[0073] In a possible implementation, the first CSI is the CSI of the link between the first node and the second node, and the second CSI is the CSI of the link between the second node and the first node. It can be understood that the first CSI and the second CSI are CSIs in different directions of the same communication link. In other words, the first CSI and the second CSI are CSIs in different directions of the same antenna. Correspondingly, in this implementation, the first node and / or the second node can be a single antenna device. And there are non-ideal factors or other factors (such as multipath effects, frequency offsets, noise interference, etc.) in the transceiver channel between the first node and the second node, and the CSIs in different directions between the first node and the second node are different. Therefore, the subsequent construction of the third CSI based on the first CSI and the second CSI can eliminate the influence of the target perception process such as the phase offset and / or amplitude offset of the unidirectional CSI (i.e., the first CSI and / or the second CSI), thereby effectively improving the performance of target perception.

[0074] In another possible implementation, the first CSI is the CSI on the first communication link between the first node and the second node, and the second CSI is the CSI on the second communication link between the first node and the second node; the first communication link is the communication link corresponding to the first antenna, the second communication link is the communication link corresponding to the second antenna, and the first antenna and the second antenna are different antennas between the first node and the second node. Accordingly, in this implementation, the first node and the second node can be multi-antenna devices. Among them, the CSI on different communication links is different, so the subsequent construction of the third CSI based on the first CSI and the second CSI can eliminate the influence of the target perception process such as the phase offset and / or amplitude offset of the unidirectional CSI (i.e., the first CSI and / or the second CSI), thereby effectively improving the performance of target perception.

[0075] It can be seen from the above that the contactless sensing method provided in the embodiment of the present application can be applicable to single-antenna devices and multi-antenna devices.

[0076] In an embodiment of the present application, the first frequency point may be one or more frequency points. For example, when the first frequency point is G frequency points, the first CSI and the second CSI corresponding to each of the G frequency points may be determined, and a third CSI may be constructed based on the first CSI and the second CSI corresponding to each frequency point. Accordingly, G third CSIs may be obtained; further, a temporary target perception feature may be obtained based on each third CSI, and then the final target perception feature may be determined from the G temporary target perception features corresponding to the G third CSIs. Wherein G is a positive integer greater than or equal to 2.

[0077] Optionally, the first CSI and the second CSI correspond to the same antenna port pair, which can be understood as the first CSI and the second CSI are obtained based on the perception signal transmitted between the same transceiver antenna. For example, the first node 101 includes antenna 1, which has a transceiver function, and the second node 102 includes antenna 2, which has a transceiver function; the first node 101 can send perception signal 1 to the second node 102 through antenna 1, and the second node 102 receives perception signal 1 through antenna 2, and the second node 102 can calculate the first CSI based on perception signal 1; and the second node 1012 can send perception signal 2 to the first node 101 through antenna 2, and the first node 101 receives perception signal 2 through antenna 1, and the first node 101 can calculate the second CSI based on perception signal 2. In short, the first CSI is calculated based on perception signal 1 transmitted between antenna 1 and antenna 2, and the second CSI is calculated based on perception signal 2 transmitted between antenna 2 and antenna 1.

[0078] S202: Determine a perceptual feature of the target based on the first information.

[0079] In S202, the perception characteristics of the target are determined based on the first information associated with multiple CSIs (i.e., the first CSI and the second CSI), which can eliminate the influence of the target perception process such as the phase offset and / or amplitude offset of the unidirectional CSI (i.e., the first CSI and / or the second CSI), thereby effectively improving the performance of target perception.

[0080] In the embodiment of the present application, the association between the first information and the first channel state information CSI and the second CSI of the first frequency point may include but is not limited to the following situations:

[0081] Case 1: The first information is the first CSI and the second CSI corresponding to the first frequency point.

[0082] Case 2: The first information is a third CSI or a temporary perceptual characteristic of the target; wherein the third CSI or the temporary perceptual characteristic of the target is associated with the first CSI and the second CSI. “The third CSI is associated with the first CSI and the second CSI” can be understood as the third CSI is determined based on the first CSI and the second CSI, and “the temporary perceptual characteristic of the target is associated with the first CSI and the second CSI” can be understood as the temporary perceptual characteristic of the target is determined based on the first CSI and the second CSI.

[0083] Among them, in combination with the specific situation of the first information, the specific implementation process of the non-contact sensing method of the embodiment of the present application may include the following different situations shown in method examples 1 to method examples 4. Figure 3-Figure 6 It is understandable that Figure 3-Figure 6The steps are merely examples of the steps that may be included in the non-contact sensing method of the embodiment of the present application and are not intended to be limiting. The specific execution order of the steps in each example may be adjusted to each other. In some embodiments, the specific execution order of the steps in each example may be adjusted to each other. Figure 3-Figure 6 The technical features in different embodiments described in the specification are combined to form a new embodiment.

[0084] Method example 1: The first information is the first CSI and the second CSI corresponding to the first frequency point. The first node 101 is used as a node for determining the perception characteristics of the target. At this time, the contactless perception device is deployed in the first node 101.

[0085] like Figure 3 As shown, in method example 1, the non-contact sensing method provided in the embodiment of the present application may include the following steps:

[0086] S301: The first node 101 sends a first perception signal to the second node 102. Correspondingly, the second node 102 receives the first perception signal.

[0087] S302. The second node 102 determines a first CSI according to the first perception signal.

[0088] The first perception signal received by the second node 102 is a signal after passing through an air interface channel. At this time, the first perception signal includes information for estimating a channel state.

[0089] When S302 is specifically implemented, the second node 102 may analyze the received first sensing signal to extract information about signal distortion, multipath effect, interference and noise, and estimate channel characteristics based on the information; then the second node 102 extracts the first CSI from the estimated channel characteristics. The first CSI may include at least one of channel gain, phase, amplitude, frequency response, or other parameters describing channel behavior.

[0090] S303: The second node 102 sends the first CSI to the first node 101. Correspondingly, the first node 101 receives the first CSI.

[0091] In S303, the second node 102 feeds back the first CSI to the first node 101, so that on the one hand the first node 101 can perform subsequent target sensing operations according to the first CSI, and on the other hand the first node 101 can adjust the transmission parameters according to the first CSI, such as adjusting the transmission power, selecting an appropriate coding and modulation scheme, or applying beamforming technology.

[0092] S304: The second node 102 sends a second perception signal to the first node 101. Correspondingly, the first node 101 receives the second perception signal.

[0093] The first perception signal and the second perception signal are pilot signals known to the first node 101 and the second node 102 or other signals known to the first node 101 and the second node 102. In other words, the first perception signal and the second perception signal are signals known to the receiving end and the transmitting end.

[0094] S305. The first node 101 determines a second CSI according to the second perception signal.

[0095] The second perception signal received by the first node 101 is a signal after passing through an air interface channel, and the first perception signal at this time includes information for estimating a channel state.

[0096] When S305 is specifically implemented, the first node 101 may analyze the received second sensing signal to extract information about signal distortion, multipath effect, interference and noise, and estimate channel characteristics based on the information; then the first node 101 extracts the second CSI from the estimated channel characteristics. The second CSI may include any one of channel gain, phase, amplitude, frequency response, or other parameters describing channel behavior.

[0097] S306. The first node 101 constructs a third CSI according to the first CSI and the second CSI.

[0098] In S306, the first node 101 constructs the third CSI based on the first CSI and the second CSI, which can eliminate or reduce the impact of the phase offset and / or amplitude offset of the unidirectional CSI (i.e., the first CSI and / or the second CSI) on the target perception process, thereby effectively improving the target perception performance.

[0099] When S306 is specifically implemented, the first node 101 may perform a first operation on the first CSI and the second CSI to obtain a third CSI; wherein the first operation is any one of the following: multiplying the first CSI and the second CSI, multiplying the first CSI and the second CSI conjugate, dividing the first CSI and the second CSI, dividing the first CSI and the second CSI conjugate, or taking a ratio of the first CSI and the second CSI.

[0100] Exemplarily, the first CSI is The second CSI is The third CSI can be h G ×h T 、sqrt(h G ×h T )、(h G ×h T ).^(1 / 2),h G ×h* T 、sqrt(h G ×h*T )、(h G ×h* T ).^(1 / 2),h T / h G 、h G / h T Any of the above.

[0101] S307. The first node 101 determines a perceptual feature of the target according to the third CSI.

[0102] When S307 is specifically implemented, the first node 101 may extract the amplitude and / or phase corresponding to the third CSI, and determine the statistical characteristics of the amplitude and / or the statistical characteristics of the phase, and then determine the perceptual characteristics based on the statistical characteristics of the amplitude and / or the statistical characteristics of the phase.

[0103] In an embodiment of the present application, the first CSI may be N CSIs, the second CSI may be N CSIs, and the third CSI may be N CSIs. Accordingly, the statistical characteristics of the amplitude corresponding to the third CSI include at least one of the change period of the amplitude within the first time length, the power spectrum density variance, or Doppler frequency shift (DFS) information, and the statistical characteristics of the phase corresponding to the third CSI include at least one of the change period of the phase within the first time length, the power spectrum density variance, or DFS information. In this way, the perceptual characteristics of the target can be determined based on the statistical characteristics of the amplitude and / or the statistical characteristics of the phase corresponding to the third CSI. Among them, the first time length can be 10 minutes, 5 minutes, 1 minute, etc.

[0104] In a possible implementation, the first node 101 may use SG filtering and Zscore normalization methods to smooth and normalize the amplitude characteristics and phase characteristics; convert the amplitude characteristics and phase characteristics of the time domain signal into corresponding frequency domain signals through fast Fourier transform to obtain their respective power spectrum densities, and then obtain the corresponding power spectrum density variance.

[0105] Further, when the power spectrum density variance of the amplitude is greater than the power spectrum density variance of the phase, the first node 101 can determine the perceptual feature based on the statistical characteristics of the amplitude; or, when the power spectrum density variance of the amplitude is less than the power spectrum density variance of the phase, the first node 101 can determine the perceptual feature based on the statistical characteristics of the phase. Among them, "the power spectrum density variance of the amplitude is greater than the power spectrum density variance of the phase" can be understood as the power spectrum density of the amplitude changes more than the power spectrum density of the phase, and "the power spectrum density variance of the amplitude is less than the power spectrum density variance of the phase" can be understood as the power spectrum density of the amplitude changes less than the power spectrum density of the phase. A large change in the power spectrum density variance means that the feature is more sensitive to the perception of the signal. Therefore, the first node 101 can determine the perceptual feature of the target based on the feature of the large change in the power spectrum density variance of the third CSI, which can further improve the performance of target perception.

[0106] Method example 2: The first information is the first CSI and the second CSI corresponding to the first frequency point, and the second node 102 is used as a node for determining the perception characteristics of the target. At this time, the contactless perception device is deployed in the second node 102.

[0107] like Figure 4 As shown, in method example 2, the non-contact sensing method provided in the embodiment of the present application may include the following steps:

[0108] S401: The first node 101 sends a first perception signal to the second node 102. Correspondingly, the second node 102 receives the first perception signal.

[0109] S402. The second node 102 determines a first CSI according to the first perception signal.

[0110] For the specific implementation of S402, please refer to the related description of S302 above, which will not be repeated here.

[0111] S403: The second node 102 sends a second perception signal to the first node 101. Correspondingly, the first node 101 receives the second perception signal.

[0112] S404. The first node 101 determines a second CSI according to the second perception signal.

[0113] For the specific implementation of S404, please refer to the related description of S305 above, which will not be repeated here.

[0114] S405: The first node 101 sends the second CSI to the second node 102. Correspondingly, the second node 102 receives the second CSI.

[0115] In S405, the first node 101 feeds back the second CSI to the second node 102, so that on the one hand the second node 102 can perform subsequent target sensing operations according to the first CSI, and on the other hand the second node 102 can adjust the transmission parameters according to the second CSI, such as adjusting the transmission power, selecting an appropriate coding and modulation scheme, or applying beamforming technology.

[0116] S406. The second node 102 constructs a third CSI according to the first CSI and the second CSI.

[0117] S407: The second node 102 determines a perceptual feature of the target according to the third CSI.

[0118] For the specific implementation of S406-S407, please refer to the relevant description of the specific implementation of S306-S307. It is only necessary to replace the first node 101 with the second node 102, and no further details will be given here.

[0119] Method example 3: The first information is the first CSI and the second CSI corresponding to the first frequency point, and the third node 103 is used as a node for determining the perception characteristics of the target. At this time, the contactless sensing device is deployed in the third node 103.

[0120] like Figure 5 As shown, in method example 3, the non-contact sensing method provided in the embodiment of the present application may include the following steps:

[0121] S501: The first node 101 sends a first perception signal to the second node 102. Correspondingly, the second node 102 receives the first perception signal.

[0122] S502. The second node 102 determines a first CSI according to the first perception signal.

[0123] For the specific implementation of S502, please refer to the related description of S302 above, which will not be repeated here.

[0124] S503: The second node 102 sends the first CSI to the third node 103. Correspondingly, the third node 103 receives the first CSI.

[0125] In S503, the second node 102 sends the first CSI to the third node 103, so that the third node 103 can perform a subsequent target perception process according to the first CSI.

[0126] S504: The second node 102 sends a second perception signal to the first node 101. Correspondingly, the first node 101 receives the second perception signal.

[0127] S505. The first node 101 determines a second CSI according to the second perception signal.

[0128] For the specific implementation of S505, please refer to the related description of S305 above, which will not be repeated here.

[0129] S506: The first node 101 sends the second CSI to the third node 103. Correspondingly, the third node 103 receives the second CSI.

[0130] In S506, the first node 101 sends the second CSI to the third node 103, so that the third node 103 can perform a subsequent target perception process according to the second CSI.

[0131] S507. The third node 103 constructs a third CSI according to the first CSI and the second CSI.

[0132] S508. The third node 103 determines the perceptual characteristics of the target according to the third CSI.

[0133] For the specific implementation of S507-S508, please refer to the relevant description of the specific implementation of S306-S307. It is only necessary to replace the first node 101 with the third node 103, and no further details will be given here.

[0134] Method example 4: the first information is the third CSI or the temporary perception characteristics of the target, and the fourth node 104 is used as a node for determining the perception characteristics of the target. At this time, the contactless sensing device is deployed in the fourth node 104.

[0135] like Figure 6 As shown, in method example 4, the non-contact sensing method provided in the embodiment of the present application may include the following steps:

[0136] S601: The first node 101 sends a first perception signal to the second node 102. Correspondingly, the second node 102 receives the first perception signal.

[0137] S602. The second node 102 determines a first CSI according to the first perception signal.

[0138] For the specific implementation of S602, please refer to the related description of S302 above, which will not be repeated here.

[0139] S603: The first node 101 sends the first CSI to the third node 103. Correspondingly, the third node 103 receives the first CSI.

[0140] S604: The second node 102 sends a second perception signal to the first node 101. Correspondingly, the first node 101 receives the second perception signal.

[0141] S605. The first node 101 determines a second CSI according to the second perception signal.

[0142] For the specific implementation of S605, please refer to the related description of S305 above, which will not be repeated here.

[0143] S606: The first node 101 sends the second CSI to the third node 103. Correspondingly, the third node 103 receives the second CSI.

[0144] S607: The third node 103 determines a third CSI or a temporary perception feature of the target according to the first CSI and the second CSI.

[0145] Among them, the specific implementation method of the third node 103 determining the third CSI according to the first CSI and the second CSI can be found in the relevant description of the specific implementation method of S306. It only needs to replace the first node 101 with the third node 103, which will not be repeated here.

[0146] Among them, the specific implementation process of the third node 103 determining the temporary perception characteristics of the target according to the first CSI and the second CSI can be: the third node 103 constructs a third CSI according to the first CSI and the second CSI; and determines the temporary perception characteristics of the target according to the third CSI.

[0147] S608: The third node 103 sends the third CSI or the temporary perception feature of the target to the fourth node 104. The fourth node 104 receives the third CSI or the temporary perception feature of the target.

[0148] S609: The fourth node 104 determines the perceptual feature of the target according to the third CSI or the temporary perceptual feature of the target.

[0149] Among them, the specific implementation method of the fourth node 104 determining the perceptual characteristics of the target according to the third CSI can be found in the relevant description of the specific implementation method of S307. It only needs to replace the first node 101 with the fourth node 104, and it will not be repeated here.

[0150] In a possible implementation, the temporary perception feature of the target includes one or more temporary perception features, and the fourth node 104 needs to screen out the temporary perception feature with a confidence greater than a preset threshold from the one or more temporary perception features, and use the temporary perception feature with a confidence greater than the preset threshold as the perception feature of the target.

[0151] In a possible implementation, the fourth node 104 may input the temporary perceptual features of the target into a perceptual feature recognition model, and determine the perceptual features of the target according to the recognition results of the perceptual feature recognition model. The perceptual feature recognition model may be pre-trained. For example, the perceptual feature recognition model is a human posture recognition model, and the temporary perceptual feature of the target is a falling posture. The fourth node 104 may input the falling posture into the human posture recognition model for further recognition. If the confidence level output by the human posture recognition model when recognizing the falling posture is greater than 0.9, the falling posture is used as the perceptual feature of the target.

[0152] In the above examples 1 to 4, the first CSI and the second CSI corresponding to the first frequency point are taken as an example to introduce the process of determining the perception characteristics of the target by the non-contact sensing device.

[0153] In some other embodiments of the present application, the contactless sensing device can also obtain the first CSI and the second CSI of the M frequency points, and determine the third CSI corresponding to the M frequency points. In this way, the contactless sensing device can determine the first frequency point that meets the first condition among the M frequency points. Among them, when the first frequency point meets the first condition, it can be understood that the first frequency point is more sensitive to signal changes, and then the perception characteristics of the target determined based on the first frequency point are more accurate.

[0154] The first condition may include but is not limited to the following:

[0155] Case 1, the first condition may be that the power spectral density variance of the amplitude of the third CSI corresponding to the first frequency point is greater than the power spectral density variance of the amplitude of the third CSI corresponding to other frequency points among the M frequency points, and / or the power spectral density variance of the phase of the third CSI corresponding to the first frequency point is greater than the power spectral density variance of the phase of the third CSI corresponding to other frequency points among the M frequency points.

[0156] Exemplarily, the M frequency points include frequency 1, frequency 2, frequency 3, and frequency 4, wherein the power spectral density variance of the amplitude of the third CSI of frequency 1 is greater than the power spectral density variance of the amplitude of the third CSI corresponding to frequency 2, frequency 3, and frequency 4, and the power spectral density variance of the phase of the third CSI corresponding to frequency 1 is greater than the power spectral density variance of the phase of the third CSI corresponding to frequency 2, frequency 3, and frequency 4, then the contactless sensing device determines the perception characteristics of the target based on the third CSI corresponding to frequency 1.

[0157] In case 2, the first condition may be that the power spectrum density variance of the amplitude of the third CSI corresponding to the first frequency point is greater than the first threshold, and / or the power spectrum density variance of the phase of the third CSI corresponding to the first frequency point is greater than the second threshold. The specific values ​​of the first threshold and the second threshold may be the same or different.

[0158] Example 1, M frequency points include frequency point 1, frequency point 2, frequency point 3, and frequency point 4, wherein the power spectrum density variance of the amplitude of the third CSI of frequency point 1 and frequency point 2 is greater than the first threshold, and the power spectrum density variance of the phase of the third CSI corresponding to frequency point 1 and frequency point 2 is greater than the second threshold, then the contactless sensing device determines the sensing characteristics of the target based on the third CSI corresponding to frequency point 1 and frequency point 2.

[0159] Example 2, M frequency points include frequency point 1, frequency point 2, and frequency point 3, where the power spectral density variance of the amplitude of the third CSI of frequency point 1 and frequency point 2 is greater than the first threshold, then the non-contact sensing device determines the perception characteristics of the target based on the third CSI corresponding to frequency point 1 and frequency point 2.

[0160] Example 3, M frequency points include frequency point 1, frequency point 2, frequency point 3, and frequency point 4, where the power spectral density variance of the phase of the third CSI corresponding to frequency point 1 and frequency point 2 is greater than the second threshold value, then the non-contact sensing device determines the perception characteristics of the target based on the third CSI corresponding to frequency point 1 and frequency point 2.

[0161] For ease of understanding, the non-contact sensing method provided by the implementation of this application is further introduced below with reference to specific examples.

[0162] Example 1: The perceptual feature of the target takes the user's breathing frequency as an example.

[0163] Fig. 7A The schematic diagram of the scenario of non-contact sensing applied to indoor monitoring is shown, and the scenario includes a first node 101, a second node 102 and a user. The first node 101, the second node 102 and the user can be set in the same indoor space. When the user breathes, the ups and downs of the chest will affect the CSI of the signal transmitted between the first node 101 and the second node 102. Therefore, the first node 101 or the second node 102 can detect the user's breathing frequency based on the CSI of the signal transmitted between the first node 101 and the second node 102. When the first node 101 is a G node and the second node 102 is a T node, the schematic diagram of the signal flow transmitted between the first node 101 and the second node 102 is as shown in Figure 7B As shown, the G node sends a sensing signal 1 to the T node, and the T node determines the first CSI according to the sensing signal 1; then the T node sends a sensing signal 2 to the G node, and the G node determines the second CSI according to the sensing signal 2.

[0164] like Figure 8 The first node 101 determines the user's breathing frequency based on the CSI of the signal transmitted between the first node 101 and the second node 102, including the following process:

[0165] S801. The first node 101 constructs a third CSI based on the first CSI and the second CSI.

[0166] In S801, the first node 101 constructs the third CSI based on the first CSI and the second CSI, which can eliminate the influence of the phase offset and / or amplitude offset of the first CSI and the second CSI on the breathing detection process, and can reduce the noise level on the amplitude of the first CSI and the second CSI, thereby greatly expanding the perception range of breathing detection.

[0167] S802: The first node 101 determines a variation period of an amplitude of the third CSI within a first time period and / or a variation period of a phase of the third CSI within a first time period.

[0168] The first duration may be, for example, 1 minute, 5 minutes, 10 minutes, etc.

[0169] S803: The first node 101 converts a variation period of the amplitude of the third CSI within the first time period and / or a variation period of the phase of the third CSI within the first time period into a first waveform.

[0170] S804: The first node 101 calculates an average time interval between k peaks or k troughs in the first waveform, where the average time interval is used to characterize a time interval between two breaths of the user.

[0171] S805. The first node 101 determines the breathing frequency according to the average time interval.

[0172] For example, Fig.9A A schematic diagram showing a waveform 1 corresponding to a variation period of the amplitude of the third CSI within 5 minutes is shown. Fig.9A In the figure, the time interval between peak 1 and peak 2 of waveform 1 is T1, and the time interval between peak 2 and peak 3 of waveform 1 is T2. Then the first node 101 can obtain the average time interval (T1+T2) / 2, and use (T1+T2) / 2 as the time interval between two breaths of the user. Then the first node 101 can determine the user's breathing frequency based on the time interval.

[0173] Another example: Fig. 9B A schematic diagram showing a waveform 2 corresponding to a change period of the phase of the third CSI within 5 minutes is shown. Fig. 9B In the figure, the time interval between trough 1 and trough 2 of waveform 2 is T3, and the time interval between trough 2 and trough 3 of waveform 2 is T4. Then the first node 101 can obtain the average time interval (T3+T4) / 2, and use (T3+T4) / 2 as the time interval between two breaths of the user. Then the first node 101 can determine the user's breathing frequency based on the time interval.

[0174] Another example: Fig. 9C A schematic diagram showing a waveform 1 corresponding to a change period of the amplitude of the third CSI within 5 minutes, and a schematic diagram showing a waveform 2 corresponding to a change period of the phase of the third CSI within 5 minutes, in Fig. 9C , the time interval between peak 1 and peak 2 of waveform 1 is T1, and the time interval between peak 2 and peak 3 of waveform 1 is T2; the time interval between trough 1 and trough 2 of waveform 2 is T3, and the time interval between trough 2 and trough 3 of waveform 2 is T4; then the first node 101 can obtain the average time interval (T1+T2+T3+T4) / 4, and use (T1+T2+T3+T4) / 4 as the time interval between two breaths of the user, and then the first node 101 can determine the user's breathing frequency according to the time interval.

[0175] Example 2: The perceptual features of the target are taken as an example of the user's posture of kicking the trunk of a car.

[0176] Fig.10 One of the schematic diagrams of the scenario of contactless sensing applied to a vehicle is shown, and the scenario includes a vehicle and a user. A first node 101, a second node 102, and a third node 103 are deployed in the vehicle, and the first node 101 and the second node 102 can be, for example, vehicle-mounted cameras with specific communication functions, and the third node 103 can be, for example, a vehicle-mounted controller.

[0177] The first node 101, the second node 102, and the third node 103 may exchange information through the in-vehicle communication network. For example, the first node 101 may send a sensing signal 1 to the second node 102, and the second node 102 may determine a first CSI based on the sensing signal 1, and send the first CSI to the third node 103; the second node 102 may send a sensing signal 2 to the first node 101, and the first node 101 may determine a second CSI based on the sensing signal 2, and send the second CSI to the third node 103; since the first CSI and the second CSI may change with the user's body posture, the third node 103 may detect whether the user has a posture of kicking the trunk of the vehicle based on the first CSI and the second CSI, and if so, the third node 103 may control the rear door of the vehicle to open automatically.

[0178] like Fig.11 As shown, the specific process of the third node 103 detecting whether the user has a kicking gesture of the vehicle trunk based on the first CSI and the second CSI includes:

[0179] S1101. The third node 103 constructs a third CSI based on the first CSI and the second CSI.

[0180] In S1101, the third node 103 constructs the third CSI based on the first CSI and the second CSI, which can eliminate the influence of the phase offset and / or amplitude offset of the first CSI and the second CSI on the process of detecting the user posture.

[0181] S1102: The third node 103 determines DFS information of the amplitude of the third CSI within the first time length and / or DFS information of the phase within the first time length.

[0182] S1103 , the third node 103 determines whether the user has a gesture of kicking the trunk of the vehicle based on the DFS information of the amplitude of the third CSI within the first time period and / or the DFS information of the phase within the first time period.

[0183] It should be understood that different DFS information corresponds to different body postures of the user.

[0184] like Fig.12 As shown, in a possible implementation, the third CSI includes CSI corresponding to M frequency points. First, the third node 103 can perform low-pass filtering on the CSI corresponding to the M frequency points; then, the third node 103 can determine the variance corresponding to the CSI corresponding to the M frequency points after filtering; and, determine G frequency points whose variance corresponding to the CSI is greater than the first threshold among the M frequency points, and perform principal component analysis, wavelet transform, feature extraction and other operations on the CSI corresponding to the G frequency points in sequence to obtain the DFS information of the amplitude and / or phase of the CSI corresponding to the G frequency points within the first time length; the third node 103 determines the current human posture feature of the user based on the DFS information of the amplitude and / or phase of the CSI corresponding to the G frequency points within the first time length; further, the third node 103 inputs the current human posture feature of the user into the human posture recognition model, and if the human posture output by the human posture recognition model is the posture of the user kicking the trunk of the vehicle, the third node 103 controls the rear door of the vehicle to open automatically. Wherein, the human posture recognition model can be, for example, a support vector machine (SVM) classifier.

[0185] Based on the above method embodiments, the embodiments of the present application further provide a contactless sensing device for executing the method in the above method embodiments. The relevant features can be found in the above method embodiments and will not be described in detail here.

[0186] like Fig.13As shown, the contactless sensing device 1300 may include: an acquisition unit 1301, used to acquire first information, wherein the first information is associated with first channel state information CSI and second CSI of a first frequency point; wherein the first CSI is the CSI of a link between a first node and a second node, and the second CSI is the CSI of a link between the second node and the first node; and a processing unit 1302, used to determine the perception characteristics of a target based on the first information.

[0187] In a possible design, when the processing unit 1302 is used to determine the perceptual characteristics of the target based on the first information, it is specifically used to: construct a third CSI according to the first CSI and the second CSI; and determine the perceptual characteristics based on the third CSI.

[0188] In a possible design, the processing unit 1302 constructs a third CSI based on the first CSI and the second CSI, including: multiplying or conjugate multiplying the first CSI and the second CSI to obtain the third CSI.

[0189] In one possible design, the device is applied to a first node, and the acquisition unit 1301 acquires the first CSI and the second CSI, including: receiving the first CSI from the second node, where the first CSI is associated with a first perception signal sent by the first node; receiving a second perception signal from the second node, and determining the second CSI based on the second perception signal.

[0190] In a possible design, the device is applied to a second node, and the acquisition unit 1301 acquires a first CSI and a second CSI of a first frequency point, including: receiving a first perception signal from the first node, and determining the first CSI based on the first perception signal; receiving the second CSI from the first node, where the second CSI is associated with a second perception signal sent by the second node.

[0191] In a possible design, the device is applied to a third node, and the acquisition unit 1301 acquires first channel state information CSI and second CSI of a first frequency point, including: receiving the first CSI from the second node, the first CSI being associated with a first perception signal sent by the first node; receiving the second CSI from the first node, the second CSI being associated with a second perception signal sent by the second node.

[0192] In one possible design, the processing unit 1302 determines the perceptual feature based on the third CSI, including: extracting the amplitude and / or phase corresponding to the third CSI; determining the statistical characteristics of the amplitude and / or the statistical characteristics of the phase; wherein the statistical characteristics of the amplitude include at least one of the changing period of the amplitude within a first time length, the power spectrum density variance, or Doppler frequency shift DFS information, and the statistical characteristics of the phase include at least one of the changing period of the phase within the first time length, the power spectrum density variance, or DFS information; the perceptual feature is determined according to the statistical characteristics of the amplitude and / or the statistical characteristics of the phase.

[0193] In one possible design, the processing unit 1302 determines the perceptual feature based on the statistical features of the amplitude and / or the statistical features of the phase, including: when the power spectral density variance of the amplitude is greater than the power spectral density variance of the phase, determining the perceptual feature based on the statistical features of the amplitude; or, when the power spectral density variance of the amplitude is less than the power spectral density variance of the phase, determining the perceptual feature based on the statistical features of the phase.

[0194] In one possible design, when the perceived feature is the breathing frequency, the processing unit 1302 determines the perceived feature based on the statistical features of the amplitude and / or the statistical features of the phase, including: converting the changing period of the amplitude within the first time length and / or the changing period of the phase within the first time length into a first waveform; calculating the average time interval between k peaks or k troughs in the first waveform, the average time interval being used to characterize the time interval between two breaths of the user; and determining the breathing frequency based on the average time interval.

[0195] In one possible design, when the perceptual feature is a human body posture, the processing unit 1302 determines the perceptual feature based on the statistical characteristics of the amplitude and / or the statistical characteristics of the phase, including: inputting the DFS information of the amplitude within the first time length and / or the DFS information of the phase within the first time length into a classifier to obtain the human body posture.

[0196] In one possible design, the first CSI is N CSIs, the second CSI is N CSIs, and the third CSI includes N CSIs.

[0197] In a possible design, a power spectral density variance of an amplitude of the third CSI corresponding to the first frequency point is greater than a first threshold, and a power spectral density variance of a phase of the third CSI corresponding to the first frequency point is greater than a second threshold.

[0198] In a possible design, the first frequency point is one of M frequency points, and the acquisition unit 1301 is further used to: obtain the first CSI and the second CSI corresponding to other frequency points among the M frequency points except the first frequency point; the power spectral density variance of the amplitude of the third CSI corresponding to the first frequency point is greater than the power spectral density variance of the amplitude of the third CSI corresponding to the other frequency points, and the power spectral density variance of the phase of the third CSI corresponding to the first frequency point is greater than the power spectral density variance of the phase of the third CSI corresponding to the other frequency points.

[0199] In one possible design, the first information is a third CSI or a temporary perceptual characteristic of the target; wherein the third CSI or the temporary perceptual characteristic of the target is associated with the first CSI and the second CSI.

[0200] In one possible design, when the device is applied to a fourth node, the acquisition unit 1301 is used to receive the third CS from the second node or the first node; or, the acquisition unit 1301 is used to receive temporary perception features of the target from the second node or the first node.

[0201] For the specific implementation method, please refer to the method steps implemented in the above method embodiment, which will not be repeated here.

[0202] It should be understood that the division of the units in the above device is only a division of logical functions, and in actual implementation, they can be fully or partially integrated into one physical entity, or they can be physically separated. In addition, the units in the device can be implemented in the form of a processor calling software; for example, the device includes a processor, the processor is connected to a memory, and instructions are stored in the memory. The processor calls the instructions stored in the memory to implement any of the above methods or realize the functions of the units of the device, wherein the processor is, for example, a general-purpose processor, such as a central processing unit (CPU) or a microprocessor, and the memory is a memory inside the device or a memory outside the device. Alternatively, the units in the device can be implemented in the form of hardware circuits, and the functions of some or all of the units can be realized by designing the hardware circuits, and the hardware circuits can be understood as one or more processors; for example, in one implementation, the hardware circuit is an application-specific integrated circuit (ASIC), and the functions of some or all of the above units are realized by designing the logical relationship of the components in the circuit; for another example, in another implementation, the hardware circuit can be realized by a programmable logic device (PLD), taking a field programmable gate array (FPGA) as an example, which can include a large number of logic gate circuits, and the connection relationship between the logic gate circuits is configured by a configuration file, so as to realize the functions of some or all of the above units. All units of the above devices can be realized in the form of a processor calling software, or in the form of a hardware circuit, or in part by a processor calling software, and the rest by a hardware circuit.

[0203] In the embodiment of the present application, the processor is a circuit with signal processing capability. In one implementation, the processor can be a circuit with instruction reading and running capability, such as a CPU, a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), or a digital signal processor (DSP), etc.; in another implementation, the processor can realize certain functions through the logical relationship of the hardware circuit, and the logical relationship of the hardware circuit is fixed or reconfigurable, such as a hardware circuit implemented by an ASIC or PLD, such as an FPGA. In a reconfigurable hardware circuit, the processor loads a configuration document to implement the process of hardware circuit configuration, which can be understood as the process of the processor loading instructions to implement the functions of some or all of the above units. In addition, it can also be a hardware circuit designed for artificial intelligence, which can be understood as an ASIC, such as a neural network processing unit (Neural Network Processing Unit, NPU) tensor processing unit (Tensor Processing Unit, TPU), deep learning processing unit (Deep learning Processing Unit, DPU), etc.

[0204] It can be seen that each unit in the above device can be one or more processors (or processing circuits) configured to implement the above method, such as: CPU, GPU, NPU, TPU, DPU, microprocessor, DSP, ASIC, FPGA, or a combination of at least two of these processor forms.

[0205] In addition, all or part of the units in the above device can be integrated together, or can be implemented independently. In one implementation, these units are integrated together and implemented in the form of a system-on-a-chip (SOC). The SOC may include at least one processor for implementing any of the above methods or implementing the functions of each unit of the device. The type of the at least one processor may be different, for example, including a CPU and an FPGA, a CPU and an artificial intelligence processor, a CPU and a GPU, etc.

[0206] The embodiment of the present application also relates to a chip system, the chip system 1400, which includes at least one processor 1401 and a communication interface 1403. In an optional design, a memory 1402 may also be included.

[0207] The embodiment of the present application does not limit the specific connection medium between the processor 1401 and the memory 1402. For example, it can be the bus 1404.

[0208] In the chip system 1400 , the processor 1401 can transmit data through the communication interface 1403 when communicating with other devices. Fig.14 The processor 1401 in the chip can call the computer execution instructions stored in the memory 1402, so that the chip system 1400 can execute any of the above method embodiments.

[0209] The processor is used to call the computer program or computer instruction stored in the memory so that the processor executes the method of any of the above embodiments.

[0210] In a possible implementation manner, the processor may be coupled to the memory through an interface.

[0211] In a possible implementation, the chip system may also directly include a memory, in which a computer program or computer instructions are stored.

[0212] For example, the memory may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of RAM are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct rambus RAM (DRRAM).

[0213] An embodiment of the present application also relates to a processor, which is used to call a computer program or computer instruction stored in a memory so that the processor executes the method described in any of the above embodiments.

[0214] For example, in the embodiment of the present application, the processor is an integrated circuit chip with signal processing capabilities. For example, the processor can be an FPGA, a general-purpose processor, a DSP, an ASIC or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component, a system chip (system on chip, SoC), a CPU, a network processor (network processor, NP), a microcontroller (microcontroller unit, MCU), a PLD or other integrated chip, and can implement or execute the methods, steps and logic block diagrams disclosed in the embodiment of the present application. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in the embodiment of the present application can be directly embodied as a hardware decoding processor to perform, or the hardware and software modules in the decoding processor are combined and performed. The software module can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in a memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware.

[0215] It should be understood that the embodiments of the present application may be provided as methods, systems, or computer program products.

[0216] In a possible implementation, an embodiment of the present application provides a computer-readable storage medium, which stores a program code. When the program code runs on the computer, the computer executes the above method embodiment.

[0217] In a possible implementation, an embodiment of the present application provides a computer program product. When the computer program product is run on a computer, the computer is enabled to execute the above method embodiment.

[0218] Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt 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 codes.

[0219] 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.

[0220] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0221] Obviously, those skilled in the art can make various changes and modifications to the embodiments of the present application without departing from the scope of the embodiments of the present application. Thus, if these modifications and variations of the embodiments of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these changes and variations. In the various embodiments of the present application, if there is no special explanation and logical conflict, the terms and / or descriptions between the various embodiments are consistent and can be referenced to each other, and the technical features in different embodiments can be combined to form new embodiments according to their inherent logical relationships.

Claims

1. A non-contact sensing method, characterized in that: include: Acquire first information, where the first information is associated with first channel state information CSI and second CSI of a first frequency point; wherein the first CSI is the CSI of a link between a first node and a second node, and the second CSI is the CSI of a link between the second node and the first node; Based on the first information, a perceptual characteristic of the target is determined.

2. The method according to claim 1, characterized in that The first information is the first CSI and the second CSI corresponding to the first frequency point.

3. The method according to claim 2, characterized in that Determining the perceptual characteristics of the target based on the first information includes: constructing a third CSI according to the first CSI and the second CSI; Based on the third CSI, the perceptual characteristic is determined.

4. The method according to claim 3, characterized in that Constructing a third CSI according to the first CSI and the second CSI, including: Perform a first operation on the first CSI and the second CSI to obtain the third CSI; The first operation is any one of the following: multiplying the first CSI and the second CSI, conjugate multiplying the first CSI and the second CSI, dividing the first CSI and the second CSI, or conjugate dividing the first CSI and the second CSI.

5. The method according to any one of claims 2 to 4, characterized in that: The method is applied to a first node, and acquiring the first CSI and the second CSI includes: receiving the first CSI from the second node, where the first CSI is associated with a first perception signal sent by the first node; receiving a second perception signal from the second node, and determining the second CSI according to the second perception signal.

6. The method according to any one of claims 2 to 4, characterized in that: The method is applied to the second node, and obtaining the first CSI and the second CSI of the first frequency point includes: receiving a first perception signal from the first node, and determining the first CSI according to the first perception signal; The second CSI is received from the first node, where the second CSI is associated with a second perception signal sent by the second node.

7. The method according to any one of claims 2 to 4, characterized in that: The method is applied to a third node, and acquiring first channel state information CSI and second CSI of a first frequency point includes: receiving the first CSI from the second node, where the first CSI is associated with a first perception signal sent by the first node; The second CSI is received from the first node, where the second CSI is associated with a second perception signal sent by the second node.

8. The method according to any one of claims 3 to 7, characterized in that: Determining the perceptual feature based on the third CSI includes: Extracting an amplitude and / or a phase corresponding to the third CSI; Determine the statistical characteristics of the amplitude and / or the statistical characteristics of the phase; wherein the statistical characteristics of the amplitude include at least one of a change period of the amplitude within a first time length, a power spectrum density variance, or Doppler frequency shift DFS information, and the statistical characteristics of the phase include at least one of a change period of the phase within the first time length, a power spectrum density variance, or DFS information; The perceptual feature is determined according to the statistical feature of the amplitude and / or the statistical feature of the phase.

9. The method according to claim 8, characterized in that Determining the perceptual feature according to the statistical feature of the amplitude and / or the statistical feature of the phase includes: When the power spectral density variance of the amplitude is greater than the power spectral density variance of the phase, the perceptual feature is determined based on the statistical characteristics of the amplitude; or, when the power spectral density variance of the amplitude is less than the power spectral density variance of the phase, the perceptual feature is determined based on the statistical characteristics of the phase.

10. The method according to claim 8 or 9, characterized in that When the sensing feature is the respiratory frequency, determining the sensing feature according to the statistical feature of the amplitude and / or the statistical feature of the phase includes: Converting a change period of the amplitude within the first time period and / or a change period of the phase within the first time period into a first waveform; Calculating an average time interval between k peaks or k troughs in the first waveform, where the average time interval is used to characterize a time interval between two breaths of the user; The respiratory frequency is determined based on the average time interval.

11. The method according to claim 8 or 9, characterized in that: When the perception feature is a human body posture, determining the perception feature according to the statistical feature of the amplitude and / or the statistical feature of the phase includes: The DFS information of the amplitude within the first time length and / or the DFS information of the phase within the first time length are input into a classifier to obtain the human body posture.

12. The method according to any one of claims 3-4, 8-11, characterized in that: The first CSI is N CSIs, the second CSI is N CSIs, and the third CSI includes N CSIs.

13. The method according to any one of claims 3-4, 8-12, characterized in that: The power spectral density variance of the amplitude of the third CSI corresponding to the first frequency point is greater than a first threshold, and / or the power spectral density variance of the phase of the third CSI corresponding to the first frequency point is greater than a second threshold.

14. The method according to any one of claims 3-4, 8-13, characterized in that: The first frequency point is one of M frequency points, and the method further includes: Acquire the first CSI and the second CSI corresponding to other frequency points among M frequency points except the first frequency point; The power spectral density variance of the amplitude of the third CSI corresponding to the first frequency point is greater than the power spectral density variance of the amplitude of the third CSI corresponding to the other frequency points, and the power spectral density variance of the phase of the third CSI corresponding to the first frequency point is greater than the power spectral density variance of the phase of the third CSI corresponding to the other frequency points.

15. The method according to claim 1, wherein: The first information is a third CSI or a temporary perception characteristic of the target; wherein the third CSI or the temporary perception characteristic of the target is associated with the first CSI and the second CSI.

16. The method according to claim 15, characterized in that The method is applied to a fourth node; Acquiring the third CSI includes: receiving the third CS from the second node or the first node; or, Acquiring the temporary perception feature of the target includes: receiving the temporary perception feature of the target from the second node or the first node.

17. The method according to any one of claims 2 to 16, characterized in that: The first CSI and the second CSI correspond to the same antenna port pair.

18. A non-contact sensing device, characterized in that: include: an acquiring unit, configured to acquire first information, wherein the first information is associated with first channel state information CSI and second CSI of a first frequency point; wherein the first CSI is the CSI of a link between a first node and a second node, and the second CSI is the CSI of a link between the second node and the first node; A processing unit is used to determine the perceptual characteristics of the target based on the first information.

19. The device according to claim 18, characterized in that The first information is the first CSI and the second CSI corresponding to the first frequency point.

20. The device according to claim 19, characterized in that The processing unit, when used to determine the perceptual feature of the target based on the first information, is specifically used to: constructing a third CSI according to the first CSI and the second CSI; Based on the third CSI, the perceptual characteristic is determined.

21. The device according to claim 20, characterized in that The processing unit constructs a third CSI according to the first CSI and the second CSI, including: Perform a first operation on the first CSI and the second CSI to obtain the third CSI; The first operation is any one of the following: multiplying the first CSI and the second CSI, conjugate multiplying the first CSI and the second CSI, dividing the first CSI and the second CSI, or conjugate dividing the first CSI and the second CSI.

22. The device according to any one of claims 19 to 21, characterized in that The device is applied to a first node, and the acquiring unit acquires the first CSI and the second CSI, including: receiving the first CSI from the second node, where the first CSI is associated with a first perception signal sent by the first node; receiving a second perception signal from the second node, and determining the second CSI according to the second perception signal.

23. The device according to any one of claims 19 to 21, characterized in that The device is applied to a second node, and the acquiring unit acquires the first CSI and the second CSI of the first frequency point, including: Receive a first perception signal from the first node, and determine the first CSI according to the first perception signal. The second CSI is received from the first node, where the second CSI is associated with a second perception signal sent by the second node.

24. The device according to any one of claims 19 to 21, characterized in that The device is applied to a third node, and the acquiring unit acquires first channel state information CSI and second CSI of a first frequency point, including: receiving the first CSI from the second node, where the first CSI is associated with a first perception signal sent by the first node; The second CSI is received from the first node, where the second CSI is associated with a second perception signal sent by the second node.

25. The device according to any one of claims 20 to 24, characterized in that The processing unit determines the perceptual feature based on the third CSI, including: Extracting an amplitude and / or a phase corresponding to the third CSI; Determine the statistical characteristics of the amplitude and / or the statistical characteristics of the phase; wherein the statistical characteristics of the amplitude include at least one of a change period of the amplitude within a first time length, a power spectrum density variance, or Doppler frequency shift DFS information, and the statistical characteristics of the phase include at least one of a change period of the phase within the first time length, a power spectrum density variance, or DFS information; The perceptual feature is determined according to the statistical feature of the amplitude and / or the statistical feature of the phase.

26. The device according to claim 25, characterized in that The processing unit determines the perceptual feature according to the statistical feature of the amplitude and / or the statistical feature of the phase, including: When the power spectral density variance of the amplitude is greater than the power spectral density variance of the phase, the perceptual feature is determined based on the statistical characteristics of the amplitude; or, when the power spectral density variance of the amplitude is less than the power spectral density variance of the phase, the perceptual feature is determined based on the statistical characteristics of the phase.

27. The device according to claim 25 or 26, characterized in that When the perception feature is the respiratory frequency, the processing unit determines the perception feature according to the statistical feature of the amplitude and / or the statistical feature of the phase, including: Converting a change period of the amplitude within the first time period and / or a change period of the phase within the first time period into a first waveform; Calculating an average time interval between k peaks or k troughs in the first waveform, where the average time interval is used to characterize a time interval between two breaths of the user; The respiratory frequency is determined based on the average time interval.

28. The device according to claim 25 or 26, characterized in that When the perception feature is a human body posture, the processing unit determines the perception feature according to the statistical feature of the amplitude and / or the statistical feature of the phase, including: The DFS information of the amplitude within the first time length and / or the DFS information of the phase within the first time length are input into a classifier to obtain the human body posture.

29. The device according to any one of claims 20-21, 25-28, characterized in that The first CSI is N CSIs, the second CSI is N CSIs, and the third CSI includes N CSIs.

30. The device according to any one of claims 20-21, 25-29, characterized in that The power spectral density variance of the amplitude of the third CSI corresponding to the first frequency point is greater than a first threshold, and / or the power spectral density variance of the phase of the third CSI corresponding to the first frequency point is greater than a second threshold.

31. The device according to any one of claims 20-21, 25-29, characterized in that The first frequency point is one of the M frequency points, and the acquiring unit is further used for: Acquire the first CSI and the second CSI corresponding to other frequency points among M frequency points except the first frequency point; The power spectral density variance of the amplitude of the third CSI corresponding to the first frequency point is greater than the power spectral density variance of the amplitude of the third CSI corresponding to the other frequency points, and the power spectral density variance of the phase of the third CSI corresponding to the first frequency point is greater than the power spectral density variance of the phase of the third CSI corresponding to the other frequency points.

32. The device according to claim 18, characterized in that The first information is a third CSI or a temporary perception characteristic of the target; wherein the third CSI or the temporary perception characteristic of the target is associated with the first CSI and the second CSI.

33. The device according to claim 32, characterized in that The device is applied to a fourth node; Acquiring the third CSI includes: receiving the third CS from the second node or the first node; or, Acquiring the temporary perception feature of the target includes: receiving the temporary perception feature of the target from the second node or the first node.

34. The device according to any one of claims 19 to 33, characterized in that The first CSI and the second CSI correspond to the same antenna port pair.

35. A computer-readable storage medium, characterized in that: The storage medium stores a computer program or an instruction. When the computer program or the instruction is executed by the communication device, the method according to any one of claims 1 to 17 is implemented.

36. A communication device, characterized in that: The method comprises at least one processor and an interface circuit, wherein the interface circuit is used to receive signals from other communication devices outside the communication device and transmit them to the processor or send signals from the processor to other communication devices outside the communication device, and the processor is used to implement the method as described in claims 1-17 through logic circuits or execution code instructions.

37. A terminal, characterized in that: The terminal comprises a detection device as described in any one of claims 18-34.

38. The terminal according to claim 37, characterized in that The terminal is a vehicle.

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