CN113608224A - Human body recognition method, device, system, electronic equipment and storage medium - Google Patents
Human body recognition method, device, system, electronic equipment and storage medium Download PDFInfo
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Abstract
The application discloses a human body identification method, a human body identification device, electronic equipment and a storage medium. The method comprises the following steps: sending a first ultrasonic signal and receiving a second ultrasonic signal; the second ultrasonic signal is generated by reflecting the first ultrasonic signal by the first detection target; generating a first image according to the first ultrasonic signal and the second ultrasonic signal; the first image represents a pose of the first detection target; outputting a first detection result corresponding to the first image based on the images of the human body postures in different states stored in a setting database; the first detection result represents that the posture of the first detection target is normal or abnormal.
Description
Technical Field
The present application relates to the field of human-computer interaction technologies, and in particular, to a human body recognition method, apparatus, system, electronic device, and storage medium.
Background
In the related art, the application of the ultrasonic technology needs to be realized by matching with different sensors, so that the dependence degree of the application of the ultrasonic technology on the sensors is too high, when the sensors are in failure or the precision is changed, the detection result of the ultrasonic waves is inaccurate, and the power consumption is increased.
Disclosure of Invention
In view of the above, embodiments of the present disclosure provide a human body recognition method, apparatus, system, electronic device and storage medium, so as to at least solve the problems of reduced accuracy of detection results and increased power consumption in the related art.
The technical scheme of the embodiment of the application is realized as follows:
the embodiment of the application provides a human body identification method, which comprises the following steps:
sending a first ultrasonic signal and receiving a second ultrasonic signal; the second ultrasonic signal is generated by reflecting the first ultrasonic signal by the first detection target;
generating a first image according to the first ultrasonic signal and the second ultrasonic signal; the first image represents a pose of the first detection target;
outputting a first detection result corresponding to the first image based on the images of the human body postures in different states stored in a setting database; the first detection result represents that the posture of the first detection target is normal or abnormal.
In the above aspect, the generating a first image according to the first ultrasonic signal and the second ultrasonic signal includes:
determining at least one first reflection point according to the first distance and the first intensity; the first distance represents a distance between a transmission source of the first ultrasonic signal and the first detection target; the first intensity represents the intensity of the received second ultrasonic signal;
generating the first image from the at least one first reflection point.
In the foregoing solution, when the first image is generated according to the at least one first reflection point, the method includes:
and generating the first image at least drawn with the corresponding posture of the set human body part of the first detection target according to the at least one first reflection point.
In the above scheme, the method further comprises:
outputting a first trigger signal matched with the first detection result according to the first detection result; the first trigger signal is used for representing a starting signal for triggering the functional module matched with the first detection result.
In the foregoing solution, the sending the first ultrasonic signal includes:
and sending the first ultrasonic signal when the detected second trigger signal meets the set condition.
In the foregoing solution, the sending out the first ultrasonic signal and receiving the second ultrasonic signal, the method further includes:
determining a first time length; the first time length is indicative of an interval time between the time of emitting the first ultrasonic signal and the time of receiving the second ultrasonic signal;
sending a first prompt signal under the condition that the first time length exceeds a first set time length; the first prompt signal is used for prompting that the second ultrasonic signal is abnormal.
In the foregoing solution, the sending out the first ultrasonic signal and receiving the second ultrasonic signal, the method further includes:
sending a first prompt signal under the condition that the second ultrasonic signal is not received within a second set time length; the first prompt signal is used for prompting that the second ultrasonic signal is abnormal.
The embodiment of the present application further provides a human body recognition device, including:
the transmitting unit is used for transmitting a first ultrasonic signal and receiving a second ultrasonic signal; the second ultrasonic signal is generated by reflecting the first ultrasonic signal by the first detection target;
a generating unit configured to generate a first image from the first ultrasonic signal and the second ultrasonic signal; the first image represents a pose of the first detection target;
the output unit is used for outputting a first detection result corresponding to the first image based on the images of the human body postures in different states stored in the setting database; the first detection result represents that the posture of the first detection target is normal or abnormal.
An embodiment of the present application further provides an electronic device, including:
a processor and a memory for storing a computer program capable of running on the processor,
wherein the processor is configured to perform the steps of any of the above methods when running the computer program.
Embodiments of the present application also provide a storage medium having a computer program stored thereon, where the computer program is executed by a processor to implement the steps of any one of the above methods.
In the embodiment of the invention, the attitude image of the detection target can be generated through the ultrasonic signal, whether the attitude of the detection target is an abnormal attitude or not is determined according to the attitude image of the detection target, the attitude recognition of the detection target can be realized by means of the ultrasonic device, the accuracy of the attitude recognition is improved, and the hardware overhead of the attitude recognition can be reduced because the attitude recognition is realized under the cooperation of the ultrasonic device and the corresponding processing module.
Drawings
Fig. 1 is a schematic view of a flow chart of implementing human body recognition according to an embodiment of the present application;
fig. 2 is a schematic view of a flow chart for implementing human body recognition according to another embodiment of the present application;
fig. 3 is a circuit for detecting the transmission and reception of ultrasonic signals by an ultrasonic base station according to an embodiment of the present application;
FIG. 4 is a schematic view of a human body fixation point provided by an embodiment of the present application;
fig. 5 is a schematic view of a flow chart of implementing human body recognition according to an embodiment of the present application;
fig. 6 is a schematic diagram illustrating an ultrasonic base station disposed in a space according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of a human body recognition device according to an embodiment of the present application;
fig. 8 is a schematic diagram of a hardware component structure of an electronic device according to an embodiment of the present disclosure.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
The technical means described in the embodiments of the present application may be arbitrarily combined without conflict.
In addition, in the embodiments of the present application, "first", "second", and the like are used for distinguishing similar objects, and are not necessarily used for describing a specific order or a sequential order.
The embodiment of the application provides a human body identification method, and fig. 1 is a schematic flow chart of the human body identification method in the embodiment of the application. As shown in fig. 1, the method includes:
s101: sending a first ultrasonic signal and receiving a second ultrasonic signal; the second ultrasonic signal is an ultrasonic signal generated by the first detection target based on the reflection of the first ultrasonic signal.
Here, the ultrasonic wave can be operated as a way of short-distance communication mainly by reflection of an ultrasonic wave signal by a different object. The ultrasonic wave base station sends out a first ultrasonic wave signal, when the first ultrasonic wave signal meets a first detection target in space transmission, a first detection object can reflect a generated second ultrasonic wave signal based on the first ultrasonic wave signal, and therefore the ultrasonic wave base station can receive the second ultrasonic wave signal. In practical applications, the ultrasonic signals have a certain applicable range, and therefore, the arrangement of the ultrasonic base stations needs to take the used spatial range into consideration, for example, the number of the arranged ultrasonic base stations should be increased in a larger space, so that the accuracy of the posture recognition can be further improved.
In one embodiment, said emitting the first ultrasonic signal comprises:
and sending out a first ultrasonic signal under the condition that the detected second trigger signal meets the set condition.
Here, since the first detection target appears at any time, the ultrasonic device needs to be in an operating state all the time, and in order to reduce the power consumption of the ultrasonic device, the ultrasonic device may be in a sleep state, and the ultrasonic device is awakened by the second trigger signal, so that the ultrasonic device can timely send out the first ultrasonic signal to identify the posture of the first detection target. In practical applications, the setting conditions may be set based on different application scenarios. The ultrasonic base station is used for recognizing the posture of a first detection target entering the conference room so as to start equipment in the conference room in time, and a person can open a door inevitably when entering the conference room, so that a second trigger signal can be sent out to start the ultrasonic base station to send out a first ultrasonic signal when the door is opened.
In one embodiment, as shown in fig. 2, the emitting a first ultrasonic signal and receiving a second ultrasonic signal, the method further comprises:
s201: determining a first time length; the first time length is indicative of an interval time between a time at which the first ultrasonic signal is emitted and a time at which the second ultrasonic signal is received.
Here, after the ultrasonic base station sends the first ultrasonic signal and receives the second ultrasonic signal, the ultrasonic base station determines a first time length, which is an interval time length between the sending time of the first ultrasonic signal and the receiving time of the second ultrasonic signal, in practical application, after the ultrasonic base station sends the first ultrasonic signal, the ultrasonic base station starts a timer, and the first time length is determined by the timer, as shown in fig. 3, fig. 3 shows a circuit for detecting the sending and receiving of the ultrasonic signal by the ultrasonic base station, in practical application, the sending and receiving detection of the ultrasonic signal can be realized by using different microprocessors such as a single chip microcomputer, and in fig. 3, after the ultrasonic base station receives the trigger signal, the ultrasonic base station starts a transmission control unit, sends the first ultrasonic signal by the transmission control unit, and simultaneously the transmission control unit starts the timer, and the timer starts timing, after the first ultrasonic signal reaches the first detection target, the first detection target reflects the second ultrasonic signal, and the ultrasonic base station enables the timer to stop timing through the terminal unit after detecting the second ultrasonic signal, so that the first duration is obtained.
S202: and sending a first prompt signal under the condition that the first time length exceeds a first set time length, wherein the first prompt signal is used for prompting that the second ultrasonic signal is abnormal.
Here, since the ultrasonic signal has an application range, that is, after the application range is exceeded, the ultrasonic base station cannot detect the ultrasonic signal, and thus cannot recognize the posture of the human body, in practical applications, the application range of the ultrasonic signal can be represented by the longest receiving time of the ultrasonic signal, and therefore, when the ultrasonic base station detects that the first time exceeds the first set time, it indicates that there is an abnormality in the received second ultrasonic signal, and cannot directly recognize the posture of the human body through the first image generated by the second ultrasonic signal and the first ultrasonic signal, and the first prompt signal is sent to prompt the abnormality of the second ultrasonic signal. In practical applications, the first set time duration may be determined by combining the size of the space where the ultrasonic base station is located, and the time duration that the ultrasonic base station passes from the sending of the first ultrasonic signal to the receiving of the second ultrasonic signal may be determined by combining the size of the space where the ultrasonic base station is located and the propagation speed of the ultrasonic signal.
In one embodiment, the emitting the first ultrasonic signal and receiving the second ultrasonic signal, the method further comprises:
sending a first prompt signal under the condition that a second ultrasonic signal is not received within a second set time length; the first prompt signal is used for prompting that the second ultrasonic signal is abnormal.
Here, whether the second ultrasonic signal is abnormal or not can be determined by the interval duration between the time when the first ultrasonic signal is sent and the time when the second ultrasonic signal is received, but in practical application, when the second ultrasonic signal is abnormal, the time when the second ultrasonic signal is received is uncertain, that is, the second ultrasonic signal can be received in a short time, or the second ultrasonic signal can not be received after a long time, in extreme cases, there can be a case that the second ultrasonic signal cannot be received, in order to avoid waiting for too long time for the second ultrasonic signal, in case that the second ultrasonic signal is not received within a second set duration, the first prompt information is sent to prompt that the second ultrasonic signal is abnormal, and the ultrasonic base station can correct the abnormal second ultrasonic signal, or abandon the received second ultrasonic signal, and the first ultrasonic signal is sent out again, so that the accuracy of human posture recognition can be improved.
S102: generating a first image according to the first ultrasonic signal and the second ultrasonic signal; the first image characterizes a pose of the first detection target.
Here, since the degree of reflection of the first ultrasonic signal by different detection targets is different, the signal intensity of the received second ultrasonic signal is also different, and the signal intensity of the second ultrasonic signal is also affected by the propagation distance, so that the first image depicting the posture of the first detection target can be generated by the characteristics of the first ultrasonic signal and the second ultrasonic signal. In practical application, through learning a large number of human postures, it can be determined that the human body contains 15 fixed points, and in the process of practical depiction, 3 fixed points can be expanded on the head of the human body, so that the head posture of the human body can be determined more accurately, as shown in fig. 4, fig. 4 shows a schematic diagram of the fixed points of the human body, and the bone on the human body is the smallest for the emission of the ultrasonic signal, so that the first image of the first detection target can be generated through the first ultrasonic signal and the second ultrasonic signal pair, and in practical application, in order to better generate the first image, the ultrasonic base station can be arranged in space to be capable of detecting all the fixed points of the human body.
In an embodiment, as shown in fig. 5, the generating a first image according to the first ultrasonic signal and the second ultrasonic signal includes:
s501: determining at least one first reflection point according to the first distance and the first intensity; the first distance represents a distance between a transmission source of the first ultrasonic signal and the first detection target; the first intensity is indicative of an intensity at which the second ultrasonic signal is received.
Here, the first image can be generated using the intensities of the first ultrasonic signal and the second ultrasonic signal at different angles and distances. The distance between the emission source of the first ultrasonic signal and the first detection target is determined, and in practical application, the transmission time of the ultrasonic signal can be determined by the point in time at which the first ultrasonic signal is emitted and the point in time at which the second ultrasonic signal is received, in combination with the transmission rate of the ultrasonic signal, a first distance can be determined and a first intensity of the received second ultrasonic signal can be obtained, a first reflection point reflecting on the first detection target generating the second ultrasonic signal can be determined, in practical application, different first reflection points can be generated on a first detection target by sending out first ultrasonic signals with different angles and distances, and when the first detection target is a human body, the different first reflection points determined on the first detection target belong to one of the body fixation points, and therefore the body architecture diagram can be roughly described by the different first reflection points.
S502: generating the first image from the at least one first reflection point.
Here, by determining different first reflection points on the first detection target, every two first reflection points of the at least one first reflection point are wired, thereby generating the first image. In practical applications, the first reflection point may record spatial positions of different portions of the first detection target, and therefore, the first image generated by the different first reflection points can reflect the posture of the first detection target.
In an embodiment, when generating the first image from the at least one first reflection point, the method comprises:
and generating the first image at least drawn with the corresponding posture of the set human body part of the first detection target according to the at least one first reflection point.
Here, in order to be able to detect all the fixed points of the human body, it is necessary to arrange a certain number of ultrasound base stations in a space, and the required hardware expense is high, and in practical applications, in order to ensure that the first image can depict the posture of the human body and save the hardware expense, the first image generated from the at least one first reflection point can at least depict the posture corresponding to the set human body part of the first detection target, and in practical applications, for one posture, the upper half part and the lower half part of the human body show consistency, and therefore, the first image generated from the at least one first reflection point can at least depict the posture of the upper half part of the human body. In practical applications, in order to ensure that the first image depicting at least the posture corresponding to the set human body part of the first detection target can be generated, at least 6 ultrasonic base stations need to be arranged in the space, several fixed points such as 0, 1, 2, 4, 5 and 7 of the fixed points of the human body shown in fig. 4 are ensured to receive the first ultrasonic signals, as shown in fig. 6, fig. 6 shows a schematic diagram of the ultrasonic base stations arranged in the space, and for the 6 ultrasonic base stations arranged in fig. 6, the first image generated by the first ultrasonic signals and the second ultrasonic signals can depict the posture of the upper half part of the human body.
S103: outputting a first detection result corresponding to the first image based on the images of the human body postures in different states stored in a setting database; the first detection result represents that the posture of the first detection target is normal or abnormal.
Here, the ultrasonic base station performs human posture recognition within a certain range in advance through a large amount of learning of the human body walking posture, for example, learning of human postures of different heights, human postures of different walking habits, human postures of different genders, and the like, and for example, can perform human posture recognition within a range of height, dynamic range, and the like. In practical applications, the ultrasonic base station may learn a large number of body postures through a setting database, the setting database stores images of body postures in different states, for example, in a normal body posture or in an abnormal body posture, and further, may store types of body postures, for example, in a walking body posture, in a swimming body posture, and the like, the ultrasonic base station may compare the generated first image with the images of body postures in different states stored in the setting database, so as to determine a first detection result corresponding to the first image, where the first detection result represents that the posture of the first detection target is normal or abnormal, for example, the ultrasonic base station recognizes that the posture of the first image belonging to the first detection target is not compliant with a water falling posture, that is, a normal posture, and outputting a first detection result that the posture of the first detection target is in an abnormal state. In practical application, when a first ultrasonic signal is transmitted in space, a second ultrasonic signal which is reflected when an obstacle is encountered is generated, that is, a first detection target may be a human body or an object, gesture recognition is not required for the object, whether the first detection target is the human body or not can be determined through a generated first image, and when the ultrasonic base station determines that the first image does not belong to the human body gesture by setting images of the human body gesture in different states stored in a database, a second detection result is output, wherein the second detection result indicates that the first detection target does not belong to the human body. The human body posture is recognized through the ultrasonic signals, the human body as a first detection target cannot be damaged, the ultrasonic base stations are arranged in different spaces, and accordingly the human body posture can be recognized without wearing related equipment by a user, convenience of human body posture recognition is improved, the ultrasonic signals have strong anti-interference performance, recognition of the human body posture is achieved through the ultrasonic signals, and accuracy of human body posture recognition can be improved.
In an embodiment, the method further comprises:
outputting a first trigger signal matched with the first detection result according to the first detection result; the first trigger signal is used for representing a starting signal for triggering the functional module matched with the first detection result.
Here, the human body gesture recognition can be applied in different scenarios, in which different expansion functions are matched for human body gesture recognition, in practical application, after determining whether the posture of the first detection target is normal or abnormal, outputting a first trigger signal matched with the first detection result, starting a functional module matched with the first detection result through the first trigger signal, thereby improving the application value of human body posture recognition in different scenes, for example, when the ultrasonic wave base station is arranged in a meeting room, when the ultrasonic wave base station identifies the human body posture, a first detection result which shows that the current posture of the human body is in a normal state is output, when a person enters the conference room, the related devices of the conference room, such as the check-in system, the computer of the conference room, and the like, are started through the first trigger signal. For another example, the human body posture recognition is applied in a swimming venue, when the ultrasonic base station recognizes that the current posture of the human body is a drowning posture, after a first detection result indicating that the current posture of the human body is abnormal is output, the drowning alarm function can be started through a first trigger signal, for example, an alarm sound is given out, so that workers in the swimming venue can know that drowned people exist, and then can be rescued in time. In practical application, the characteristics of different scenes can be combined, matched functional modules are arranged for different human body postures, and different expansion functions are realized. In practical applications, the first trigger signal may be based on the ultrasound base station performing the bottom layer communication and control system control with different devices.
In the above embodiment, the ultrasonic signal sent by the ultrasonic base station is used for constructing the posture diagram of the human body, and then the posture of the human body is recognized, so that whether the posture of the human body is abnormal or not can be determined, and the ultrasonic base station is arranged in different spaces, so that a user does not need to wear related equipment and match other devices for recognizing the posture of the human body, hardware cost brought by human body posture recognition can be reduced, convenience of human body posture recognition can be improved, and in addition, the ultrasonic signal has strong anti-interference performance, so that the accuracy of human body posture recognition can be improved.
In order to implement the human body identification method according to the embodiment of the present application, an embodiment of the present application further provides a human body identification device, as shown in fig. 7, the device includes:
a transmitting unit 701 configured to transmit a first ultrasonic signal and receive a second ultrasonic signal; the second ultrasonic signal is generated by reflecting the first ultrasonic signal by the first detection target;
a generating unit 702 configured to generate a first image from the first ultrasonic signal and the second ultrasonic signal; the first image represents a pose of the first detection target;
an output unit 703, configured to output a first detection result corresponding to the first image based on images of human body postures in different states stored in a setting database; the first detection result represents that the posture of the first detection target is normal or abnormal.
In an embodiment, the generating unit 702, when generating the first image according to the first ultrasonic signal and the second ultrasonic signal, is further configured to:
determining at least one first reflection point according to the first distance and the first intensity; the first distance represents a distance between a transmission source of the first ultrasonic signal and the first detection target; the first intensity represents the intensity of the received second ultrasonic signal;
generating the first image from the at least one first reflection point.
In an embodiment, the generating unit 702, when generating the first image according to the first ultrasonic signal and the second ultrasonic signal, is further configured to:
and generating the first image at least drawn with the corresponding posture of the set human body part of the first detection target according to the at least one first reflection point.
In an embodiment, the apparatus is further configured to:
outputting a first trigger signal matched with the first detection result according to the first detection result; the first trigger signal is used for representing a starting signal for triggering the functional module matched with the first detection result.
In an embodiment, the sending unit 701, when sending out the first ultrasonic signal, is further configured to:
and sending the first ultrasonic signal when the detected second trigger signal meets the set condition.
In an embodiment, the sending unit 701, when sending the first ultrasonic signal and receiving the second ultrasonic signal, is further configured to:
determining a first time length; the first time length is indicative of an interval time between the time of emitting the first ultrasonic signal and the time of receiving the second ultrasonic signal;
sending a first prompt signal under the condition that the first time length exceeds a first set time length; the first prompt signal is used for prompting that the second ultrasonic signal is abnormal.
In an embodiment, the sending unit 701, when sending the first ultrasonic signal and receiving the second ultrasonic signal, is further configured to:
sending a first prompt signal under the condition that the second ultrasonic signal is not received within a second set time length; the first prompt signal is used for prompting that the second ultrasonic signal is abnormal.
In actual use, the transmission unit 701, the generation unit 702, and the output unit 703 are realized by a processor in the human body recognition apparatus, and the output unit 84 may be realized by a communication interface in the translation output apparatus. Of course, the processor needs to run the program stored in the memory to realize the functions of the above-described program modules.
It should be noted that, when the human body recognition device provided in the embodiment of fig. 7 performs human body recognition, the division of the program modules is merely exemplified, and in practical applications, the above processing may be distributed to different program modules according to needs, that is, the internal structure of the device may be divided into different program modules to complete all or part of the above-described processing. In addition, the human body identification device provided by the above embodiment and the human body identification method embodiment belong to the same concept, and the specific implementation process thereof is described in the method embodiment and is not described herein again.
Based on the hardware implementation of the program module, and in order to implement the method according to the embodiment of the present application, an embodiment of the present application further provides an electronic device, and fig. 8 is a schematic diagram of a hardware composition structure of the electronic device according to the embodiment of the present application, and as shown in fig. 8, the electronic device includes:
a communication interface 1 capable of information interaction with other devices such as network devices and the like;
and the processor 2 is connected with the communication interface 1 to realize information interaction with other equipment, and is used for executing the human body identification method provided by one or more technical schemes when running a computer program. And the computer program is stored on the memory 3.
In practice, of course, the various components in the electronic device are coupled together by the bus system 4. It will be appreciated that the bus system 4 is used to enable connection communication between these components. The bus system 4 comprises, in addition to a data bus, a power bus, a control bus and a status signal bus. For the sake of clarity, however, the various buses are labeled as bus system 4 in fig. 8.
The memory 3 in the embodiment of the present application is used to store various types of data to support the operation of the electronic device. Examples of such data include: any computer program for operating on an electronic device.
It will be appreciated that the memory 3 may be either volatile memory or nonvolatile memory, and may include both volatile and nonvolatile memory. Among them, the nonvolatile 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), a magnetic random access Memory (FRAM), a Flash Memory (Flash Memory), a magnetic surface Memory, an optical disk, or a Compact Disc Read-Only Memory (CD-ROM); the magnetic surface storage may be disk storage or tape storage. Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory. By way of illustration and not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Synchronous Static Random Access Memory (SSRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic Random Access Memory (SDRAM), Double Data Rate Synchronous Dynamic Random Access Memory (DDRSDRAM), Enhanced Synchronous Dynamic Random Access Memory (ESDRAM), Enhanced Synchronous Dynamic Random Access Memory (Enhanced DRAM), Synchronous Dynamic Random Access Memory (SLDRAM), Direct Memory (DRmb Access), and Random Access Memory (DRAM). The memory 3 described in the embodiments of the present application is intended to comprise, without being limited to, these and any other suitable types of memory.
The method disclosed in the above embodiment of the present application may be applied to the processor 2, or implemented by the processor 2. The processor 2 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 2. The processor 2 described above may be a general purpose processor, a DSP, or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. The processor 2 may implement or perform the methods, steps and logic blocks disclosed in the embodiments of the present application. A general purpose processor may be a microprocessor or any conventional processor or the like. The steps of the method disclosed in the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software modules may be located in a storage medium located in the memory 3, and the processor 2 reads the program in the memory 3 and in combination with its hardware performs the steps of the aforementioned method.
When the processor 2 executes the program, the corresponding processes in the methods according to the embodiments of the present application are realized, and for brevity, are not described herein again.
In an exemplary embodiment, the present application further provides a storage medium, i.e. a computer storage medium, specifically a computer readable storage medium, for example, including a memory 3 storing a computer program, which can be executed by a processor 2 to implement the steps of the foregoing method. The computer readable storage medium may be Memory such as FRAM, ROM, PROM, EPROM, EEPROM, Flash Memory, magnetic surface Memory, optical disk, or CD-ROM.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus, terminal and method may be implemented in other manners. The above-described device embodiments are only illustrative, for example, the division of the unit is only one logical function division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media that can store program code.
Alternatively, the integrated units described above in the present application may be stored in a computer-readable storage medium if they are implemented in the form of software functional modules and sold or used as independent products. Based on such understanding, the technical solutions of the embodiments of the present application may be essentially implemented or portions thereof that contribute to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling an electronic device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media that can store program code.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A human body recognition method, comprising:
sending a first ultrasonic signal and receiving a second ultrasonic signal; the second ultrasonic signal is generated by reflecting the first ultrasonic signal by the first detection target;
generating a first image according to the first ultrasonic signal and the second ultrasonic signal; the first image represents a pose of the first detection target;
outputting a first detection result corresponding to the first image based on the images of the human body postures in different states stored in a setting database; the first detection result represents that the posture of the first detection target is normal or abnormal.
2. The method of claim 1, wherein generating a first image from the first ultrasonic signal and the second ultrasonic signal comprises:
determining at least one first reflection point according to the first distance and the first intensity; the first distance represents a distance between a transmission source of the first ultrasonic signal and the first detection target; the first intensity represents the intensity of the received second ultrasonic signal;
generating the first image from the at least one first reflection point.
3. The method according to claim 2, wherein the generating the first image from the at least one first reflection point comprises:
and generating the first image at least drawn with the corresponding posture of the set human body part of the first detection target according to the at least one first reflection point.
4. The method of claim 1, further comprising:
outputting a first trigger signal matched with the first detection result according to the first detection result; the first trigger signal is used for representing a starting signal for triggering the functional module matched with the first detection result.
5. The method of claim 1, wherein said emitting a first ultrasonic signal comprises:
and sending the first ultrasonic signal when the detected second trigger signal meets the set condition.
6. The method of claim 1, wherein the emitting a first ultrasonic signal and receiving a second ultrasonic signal, the method further comprises:
determining a first time length; the first time length is indicative of an interval time between the time of emitting the first ultrasonic signal and the time of receiving the second ultrasonic signal;
sending a first prompt signal under the condition that the first time length exceeds a first set time length; the first prompt signal is used for prompting that the second ultrasonic signal is abnormal.
7. The method of claim 1, wherein the emitting a first ultrasonic signal and receiving a second ultrasonic signal, the method further comprises:
sending a first prompt signal under the condition that the second ultrasonic signal is not received within a second set time length; the first prompt signal is used for prompting that the second ultrasonic signal is abnormal.
8. A human body recognition apparatus, comprising:
the transmitting unit is used for transmitting a first ultrasonic signal and receiving a second ultrasonic signal; the second ultrasonic signal is generated by reflecting the first ultrasonic signal by the first detection target;
a generating unit configured to generate a first image from the first ultrasonic signal and the second ultrasonic signal; the first image represents a pose of the first detection target;
the output unit is used for outputting a first detection result corresponding to the first image based on the images of the human body postures in different states stored in the setting database; the first detection result represents that the posture of the first detection target is normal or abnormal.
9. An electronic device, comprising: a processor and a memory for storing a computer program capable of running on the processor,
wherein the processor is adapted to perform the steps of the method of any one of claims 1 to 7 when running the computer program.
10. A storage medium having a computer program stored thereon, the computer program, when being executed by a processor, performing the steps of the method of any one of claims 1 to 7.
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