CN112347958A - Obstacle detection signal recognition method, recognition circuit and gesture recognition equipment - Google Patents
Obstacle detection signal recognition method, recognition circuit and gesture recognition equipment Download PDFInfo
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- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/107—Static hand or arm
- G06V40/113—Recognition of static hand signs
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Abstract
The utility model provides an obstacle detection signal's identification method, recognition circuit, gesture recognition equipment, lamps and lanterns and computer readable storage medium, through the first signal group that acquires receiving module, according to first signal group and the first threshold value that predetermines generate the second signal group, if the number of sensing signal in the second signal group is greater than the second and predetermines the threshold value, then judges that sensing signal is obstacle detection signal to filter the interference signal that receiving module gathered, obtain accurate obstacle detection signal, can eliminate the transparent plate in front of receiving module or disturb the influence of object to the recognition accuracy, improve the recognition accuracy.
Description
Technical Field
The application belongs to the technical field of gesture recognition, and particularly relates to a method for recognizing an obstacle detection signal, a recognition circuit, gesture recognition equipment, a lamp and a computer-readable storage medium.
Background
At present, the traditional gesture recognition sensor adopts infrared detection gestures, an infrared emission module emits a beam of infrared light, the infrared light is reflected by hands and received by an infrared receiving module and converted into corresponding electric signals, and a control module judges the electric signals and outputs a judgment result.
However, in an outdoor application scenario, since an outdoor environment is complex, in order to prevent dust and other impurities from damaging a sensor circuit, a transparent part is usually added at the front end of the gesture recognition sensor, and the transparent part may affect the recognition accuracy of the gesture recognition sensor.
Disclosure of Invention
The application aims to provide an obstacle detection signal identification method, an obstacle detection signal identification circuit, a gesture identification device, a lamp and a computer readable storage medium, and aims to solve the problem that the identification precision of a gesture identification receiving module is affected after a transparent piece is added.
A first aspect of an embodiment of the present application provides a method for identifying an obstacle detection signal, including:
acquiring a first signal group acquired by a receiving module, wherein the first signal group is an induction signal acquired by the receiving module within a first preset time period;
generating a second signal group according to the first signal group and a first preset threshold, wherein the second signal group comprises induction signals larger than the first preset threshold;
and if the number of the induction signals in the second signal group is larger than a second preset threshold value, judging that the induction signals are obstacle detection signals.
Processing the first signal group by adopting a first preset threshold value to obtain a second signal group, wherein the first threshold value filters out the influence of the transparent plate on the identification result; judging the induction signals larger than the second preset threshold value as obstacle detection signals, and filtering out the influence of the interference objects on the identification result; the detection precision is improved.
In one embodiment, the identification method comprises the following steps:
acquiring a reference signal group acquired by the receiving module; the reference signal group is a reference induction signal acquired by the receiving module in a second preset time period;
and acquiring the maximum reference induction signal value of the reference signal group, and setting the maximum reference induction signal value as the first preset threshold value.
In one embodiment, the reference signal group is a reference sensing signal acquired by the receiving module when no obstacle exists.
The maximum reference induction signal value of the reference signal group in the second preset time period is set as a first preset threshold value, induction signals when no obstacle is shielded can be filtered, and induction signals when an obstacle is shielded are screened out for subsequent processing.
In one embodiment, the identification method further includes:
if the last induction signal in the first signal group is larger than the first preset threshold value, continuously acquiring the induction signal in a second preset time period;
if the induction signal in the second preset time period is larger than the first preset threshold, adding the induction signal in the second preset time period into the second signal group, continuing to collect the induction signal in a third preset time period, and so on until the induction signal in the next time period is smaller than the first preset threshold.
When the last induction signal in the first signal group is larger than the first preset threshold value, the obstacle at the end of the first signal group is not moved away, so that the first signal group collects the induction signals which are not in the complete obstacle shielding process, the method of continuously collecting the induction signals in the second preset time period and repeating the steps until the induction signals in the next time period are smaller than the first preset threshold value is adopted, the complete obstacle shielding process induction signals can be obtained, and the detection accuracy is improved.
In one embodiment, the first preset time period and the second preset time period have the same time length.
In one embodiment, the generating a second signal group according to the first signal group and a first preset threshold includes:
calculating the average value of the induction signals of the first signal group;
comparing the induction signals in the first signal group with the average value of the induction signals;
and comparing the induction signal after comparison with the first preset threshold value to generate a second signal group.
And a part of sensing signals which do not contribute to the detection of the barrier are filtered by adopting the sensing signal average value, so that the data processing amount is reduced, and the system resources are saved.
A second aspect of an embodiment of the present application provides an identification circuit, including:
the transmitting module is used for transmitting infrared signals;
the receiving module is used for collecting induction signals generated after the infrared signals are reflected;
the control module is used for acquiring a first signal group acquired by the receiving module, and the first signal group is an induction signal acquired by the receiving module within a first preset time period; generating a second signal group according to the first signal group and a first preset threshold value; and if the number of the induction signals in the second signal group is larger than a second preset threshold value, judging that the induction signals are obstacle detection signals, wherein the second signal group comprises the induction signals larger than the first preset threshold value.
A third aspect of embodiments of the present application provides a gesture recognition apparatus, including the recognition circuit as described above, and a transparent member for protecting the recognition circuit.
A fourth aspect of the embodiments of the present application provides a luminaire including the gesture recognition apparatus according to the above embodiments.
A fifth aspect of embodiments of the present application provides a computer-readable storage medium, which stores a computer program, which, when executed by a processor, implements the method for identifying an obstacle detection signal according to any one of the above.
The embodiment of the application provides an identification method, identification circuit, gesture recognition equipment, lamps and lanterns and computer readable storage medium of barrier detection signal, through the first signal group that acquires receiving module, according to first signal group and the first threshold value of predetermineeing generate the second signal group, if the number of sensing signal in the second signal group is greater than the second threshold value of predetermineeing, then judges that sensing signal is barrier detection signal to filter the interference signal that receiving module gathered, obtain accurate barrier detection signal, can eliminate the influence of transparent plate or interference object in receiving module the place ahead to the identification precision, improve the identification precision.
Drawings
Fig. 1 is a schematic flowchart of an obstacle detection signal identification method according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of an identification circuit of an obstacle detection signal according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an identification circuit of an obstacle detection signal according to another embodiment of the present application;
fig. 4 is a circuit diagram of a power supply module provided in an embodiment of the present application;
FIG. 5 is a circuit diagram of a control module provided by an embodiment of the present application;
fig. 6 is a circuit diagram of a transmitting module provided by an embodiment of the present application;
fig. 7 is a circuit diagram of a receiving module provided in an embodiment of the present application;
fig. 8 is a schematic structural diagram of a gesture recognition device according to an embodiment of the present application.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present application clearer, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
It will be understood that when an element is referred to as being "secured to" or "disposed on" another element, it can be directly on the other element or be indirectly on the other element. When an element is referred to as being "connected to" another element, it can be directly connected to the other element or be indirectly connected to the other element.
It will be understood that the terms "length," "width," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like, refer to an orientation or positional relationship illustrated in the drawings for convenience in describing the present application and to simplify description, and do not indicate or imply that the referenced device or element must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be construed as limiting the present application.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, "a plurality" means two or more unless specifically limited otherwise.
It should be understood that, the sequence numbers of the steps in the embodiments do not mean the execution sequence, and the execution sequence of each process should be determined by the function and the inherent logic of the process, and should not constitute any limitation to the implementation process of the embodiments of the present application.
Fig. 1 is a schematic flowchart of an identification method of an obstacle detection signal according to an embodiment of the present application, and referring to fig. 1, the identification method in the embodiment includes steps S10 to S30.
Step S10: and acquiring a first signal group acquired by the receiving module, wherein the first signal group is an induction signal acquired by the receiving module within a first preset time period.
In this embodiment, first, an induction signal collected by the receiving module in a first preset time period is obtained, and the induction signal is used as a first signal group.
In one embodiment, the sensing signals collected by the receiving module are stored in an array form in a first signal group, for example, 5 seconds in a first preset time period, the sensing signals collected by the receiving module in the first preset time period may be {1,2,1,1,4,5,5,5,6,6}, and the first signal group is [1,2,1,1,4,5,5, 6,6 ].
In one embodiment, the receiving module in this embodiment may be an infrared gesture recognition module, for example, an infrared obstacle avoidance module, an infrared distance measurement module, and the like.
Step S20: and generating a second signal group according to the first signal group and a first preset threshold value, wherein the second signal group comprises induction signals larger than the first preset threshold value.
In this embodiment, the sensing signals in the first signal group are compared with a first preset threshold, and the sensing signals greater than the first preset threshold are taken as the second signal group.
In one embodiment, the first predetermined threshold is 4.2, the first signal group is [1,2,1,1,4,5,5,5,6,6], and the sensing signals {5,5,5,6,6} in the first signal group greater than the first predetermined threshold are sensing signals in the second signal group, i.e., the second signal group is [5,5,5,6,6 ].
In one embodiment, the first preset threshold may be preset by a user, or may be a first preset threshold calculated according to a preset method based on the first signal group.
In a specific application embodiment, the first signal group collected in the first preset time period is [1,2,1,1,4,5,5,5,6,6], a maximum value of the sensing signals in the first signal group is calculated to be 6, the maximum value 6 is set to be a first preset threshold, and the first preset threshold is used as a reference value to judge the sensing signals collected in the second preset time period.
In one embodiment, the step S20, generating a second signal group according to the first signal group and a first preset threshold includes: calculating the average value of the induction signals of the first signal group; comparing the induction signals in the first signal group with the average value of the induction signals; specifically, the induction signals smaller than the average value of the induction signals in the first signal group are removed; and comparing the induction signal after the comparison processing with a first preset threshold value to generate a second signal group.
In this embodiment, the sensing signal lower than the average value of the sensing signals may be considered as impossible to be the obstacle detection signal, and the removal of the sensing signal smaller than the average value of the sensing signals may reduce the amount of data and improve the processing efficiency.
In one embodiment, the first signal group is [1,2,1,1,4,5,5,5,6,6], the average AVR of the sensing signals in the first signal group is calculated to be (1+2+1+ 4+5+5+ 6+6)/10 ═ 3.6, the comparison-processed sensing signals greater than the average AVR are {4,5,5,5,6,6}, the sensing signals greater than a first preset threshold 4.2 in the comparison-processed sensing signals are taken out as the second signal group, and the second signal group is [5,5,5,6,6 ].
In one embodiment, if the last sensing signal in the first signal group is greater than a first preset threshold, the sensing signals within a second preset time period are continuously acquired; if the induction signal in the second preset time period is larger than the first preset threshold value, the induction signal in the second preset time period is added into the second signal group, the induction signal in the third preset time period is continuously collected, and the like until the induction signal in the next time period is smaller than the first preset threshold value.
In one embodiment, the last sensing signal value 6 of the first signal group [1,2,1,1,4,5,5,5,6,6] in the first preset time period is greater than the first preset threshold value 4.2, the receiving module continues to collect sensing signals in the second preset time period to obtain the sensing signal values {6,6,5,5,5,7,7,7,6,6}, since the sensing signals of the signal group in the second preset time period are all greater than the array first preset threshold value 4.2, all the sensing signals of the signal group in the second preset time period are added into the second signal group, the sensing signals in the third preset time period are continuously collected, and so on, until the sensing signal value of the sensing signal in the next time period is less than the first preset threshold value 4.2, for example, the sensing signal in the next time period is {6,6,5,4,3, 2', 1,1, and since the value of the sensing signal 4 is less than the first preset threshold 4.2, adding the sensing signals {6,6,5} greater than the first preset threshold 4.2 into the second signal group, and then stopping collecting the sensing signals.
Step S30: and if the number of the induction signals in the second signal group is larger than a second preset threshold value, judging that the induction signals are obstacle detection signals.
In this embodiment, after the second signal group is generated, the sensing signals in the second signal group are counted, if the number of the sensing signals in the second signal group is greater than the second preset threshold value, it can be determined that the sensing signals collected by the receiving module are effective obstacle detection signals, because small flying insects, the receiving module can be triggered by obstacles such as debris, the obstacle detection signals are obtained, but the time of the obstacles such as small flying insects and debris staying before the receiving module 201 is short, therefore, the effective obstacle detection signals can be determined by determining the duration of the obstacle detection signals through the access, thereby filtering the interference signals collected by the receiving module, and obtaining accurate obstacle detection signals.
In one application embodiment, the number of sensing signals in the second signal group [5,5,5,6,6] is 5, and if the second preset threshold is 4.5, the number of sensing signals in the second signal group 5 is greater than 4.5, it may be determined that the sensing signals detected by the receiving module are useful obstacle detection signals.
In one embodiment, the second preset threshold is obtained by performing statistical analysis on the obstacle detection signals triggered by the human hand and the small flying insects.
In one embodiment, statistical analysis is performed on the obstacle detection signals triggered by the human hand and the small winged insects, when the human hand is placed at the front end of the receiving module, the sensing signal value of the sensing signal collected by the receiving module is [1,2,1,1,4,5,5,5,6,6], wherein the sensing signal value of the sensing signal corresponding to the human hand placed at the front end of the receiving module is [5,5,5,6,6], and the length of the array is 5. In a specific application embodiment, after multiple times of collection and analysis, the sensing signal value of the sensing signal corresponding to the sensing signal when a human hand is placed at the front end of the receiving module is 5,6,8,9,10,15,6,7,5,7,5,8,5, and the length is above 5, when an interfering object such as a flying insect passes through the front end of the receiving module, the corresponding signal length is below 4, so the second preset threshold value should be set to be a value between 4 and 5, and in an embodiment of the application, 4.5 is randomly selected.
Referring to fig. 2, fig. 2 is a schematic structural diagram of an identification circuit of an obstacle detection signal according to an embodiment of the present application, where the identification circuit of the obstacle detection signal includes: a receiving module 201, a control module 202 and a transmitting module 203.
In this embodiment, the output end of the receiving module 201 is connected to the input end of the control module 202, and the transmitting module 203 is connected to the first output end of the control module 202.
In the present embodiment, the receiving module 201 is used for transmitting an infrared signal; the receiving module 202 is configured to collect an induction signal generated after the infrared signal is reflected; the control module 203 is configured to obtain a first signal group acquired by the receiving module, where the first signal group is an induction signal acquired by the receiving module within a first preset time period; generating a second signal group according to the first signal group and a first preset threshold value; and if the number of the induction signals in the second signal group is greater than a second preset threshold value, judging that the induction signals are obstacle detection signals, wherein the second signal group comprises the induction signals greater than the first preset threshold value.
In one embodiment, the control module 202 may further set the second output terminal to a high level or a low level according to the processed obstacle detection signal, so as to output a control signal for controlling other systems and devices; for example, the second output terminal is connected to a switch interface of the desk lamp, when the second output terminal outputs a high level, the desk lamp is turned on, and when the second output terminal outputs a low level, the desk lamp is turned off.
It should be noted that, for convenience and simplicity of description, the specific working process of the control module 202 described above may refer to the corresponding process of the method described in fig. 1, and is not described herein again.
In one embodiment, fig. 4 is a circuit diagram of a power supply module provided by an embodiment of the present application.
Referring to fig. 4, the power supply module 301 includes a voltage regulator chip U1, a first resistor R1, a first capacitor C1, a first capacitor C2, a third capacitor C3, and a fourth capacitor C4; the power input pin VIN of the voltage stabilization chip U1 is grounded through a first capacitor C1, the power input pin VIN is further connected to the input port, the SHDN # pin is connected with the power input pin VIN through a first resistor R1, the ground pin GND is grounded, the BP pin is grounded through a second capacitor C2, the power output pin VOUT is grounded through a parallel circuit of a third capacitor C3 and a fourth capacitor C4, and the voltage output pin VOUT is further connected with the output end of the power supply module 301.
In the present embodiment, the voltage regulation chip U1 is used to convert the battery voltage input from the input terminal into a regulated power supply voltage.
In one embodiment, the battery voltage is 3 to 4.3V, and the battery voltage is related to the battery capacity, so that the battery voltage is unstable, and is converted by the power supply module 301 to output a stable 3.3V power supply voltage.
In one embodiment, fig. 5 is a circuit diagram of a control module provided by an embodiment of the present application.
Referring to fig. 5, the control module 202 includes a control chip U2, a second resistor R2, a third resistor R3, a fourth resistor R4, a fifth resistor R5, a sixth resistor R6, a seventh resistor R7, an eighth resistor R8, a fifth capacitor C5, and a sixth capacitor C6; a power supply pin VDD of the control chip U2 is grounded through a fifth capacitor C5, the power supply pin VDD is further connected to a power supply input terminal LED _3.3V, a second pin IOB5 is grounded through a second resistor R2, a sixth capacitor C6 is connected in parallel with a fourth resistor R4 and then connected in series with a third resistor R3 to form a circuit, one end of the circuit is grounded, the other end of the circuit is connected to a detection port, a third pin IOA4 is connected to a common node of a third resistor R3 and the fourth resistor R4 through a fifth resistor R5, a sixth pin IOB4 is further connected to a first input terminal, a fifth pin IOB0 is grounded through a sixth resistor R6, a seventh pin IOA1 is connected to a first output terminal, an eighth pin IOA2 is connected to an alarm output terminal through a seventh resistor R7, and a ninth IO pin 3 is connected to a second input terminal through an eighth resistor R8.
In this embodiment, the second pin IOB5 is used to detect the second resistor R2, the third pin IOA4 is used to detect the battery voltage, the sixth pin IOB4 is used to receive the detection signal, and the seventh pin IOA1 is used to output a high-low level to control the external circuit.
In this embodiment, the third resistor R3 and the fourth resistor R4 form a series voltage divider circuit, one end of the series circuit is connected to the detection port, and the detection port is connected to the voltage in the circuit, so as to implement the function of detecting the voltage in the circuit. The third pin IOA4 is used for detecting the voltage value at the common node of the third resistor R3 and the fourth resistor R4; the sixth pin IOB4 is used to receive signals from the receiving module 201, and the ninth pin IO3 is used to send signals to the receiving module; the seventh pin IOA7 is used to send control signals to the transmit module 203.
In this embodiment, the control chip U2 is configured to calculate a mean value of the sensing signals within a first preset time period, and obtain a second signal group according to the sensing signals within the first preset time period, where the second signal group includes sensing signals greater than the mean value and greater than a first preset threshold; and if the number of the induction signals in the second signal group is greater than a preset second preset threshold value, judging that the gesture recognition is successful, and controlling the pins to be at a high level or a low level according to the useful signals.
In one embodiment, fig. 6 is a circuit diagram of a transmitting module provided by an embodiment of the present application.
Referring to fig. 6, the transmitting module 201 includes a transmitter U3, a ninth resistor R9; an input pin R + of the transmitter U3 is connected to a first output terminal of the control module 202, and an output pin R-is grounded through a ninth resistor R9;
in the present embodiment, the transmitter U3 transmits infrared signals according to the instructions of the control module 202; the input pin R + is used for receiving a control signal of the control chip U2.
In one embodiment, fig. 7 is a circuit diagram of a receiving module provided in an embodiment of the present application
Referring to fig. 7, the receiving module 201 includes a receiver U4, a tenth resistor R10, a seventh capacitor C7, and an eighth capacitor C8;
the E pin of the receiver U4 is grounded through a parallel circuit of a tenth resistor R10 and an eighth capacitor C8, the signal output pin E of the receiver U4 is further connected to the first input terminal of the control module 202, the input pin C is grounded through a seventh capacitor C7, and the input pin C is further connected to the second input terminal of the control module 202.
The receiver U4 is used for receiving the infrared rays reflected by the object and converting the infrared rays into electrical signals, i.e. sensing signals.
In an embodiment, fig. 8 is a schematic block diagram of a gesture recognition device provided in an embodiment of the present application.
Referring to fig. 8, 801 is a transparent plate, which is disposed at the front ends of the transmitter 802 and the receiver 803, the transmitter 802 and the receiver 803 are separated by a baffle 804, and the transmitter 802 and the receiver 803 are fixed on a support 805;
the distance between the transmitter 802 of the transmitting module 203 and the receiver 803 of the receiving module 201 is 2mm, but not less than 2mm, and if the distance between the transmitter 802 and the receiver 803 is less than 2mm, even if the baffle 804 exists, false triggering is easily caused.
The embodiment of the application further provides a lamp, which comprises the gesture recognition device in any one of the above embodiments, wherein the gesture recognition device is used for recognizing the gesture of the user and sending a corresponding recognition signal to the lamp control center.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
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, 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, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method of the embodiments described above can be realized by a computer program, which can be stored in a computer-readable storage medium and can realize the steps of the embodiments of the methods described above when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
Claims (10)
1. A method for recognizing an obstacle detection signal, comprising:
acquiring a first signal group acquired by a receiving module, wherein the first signal group is an induction signal acquired by the receiving module within a first preset time period;
generating a second signal group according to the first signal group and a first preset threshold, wherein the second signal group comprises induction signals larger than the first preset threshold;
and if the number of the induction signals in the second signal group is larger than a second preset threshold value, judging that the induction signals are obstacle detection signals.
2. The method of recognizing an obstacle detection signal according to claim 1, characterized by comprising:
acquiring a reference signal group acquired by the receiving module; the reference signal group is a reference induction signal acquired by the receiving module in a second preset time period;
and acquiring the maximum reference induction signal value of the reference signal group, and setting the maximum reference induction signal value as the first preset threshold value.
3. The method according to claim 2, wherein the reference signal group is a reference sensing signal collected by the receiving module when there is no obstacle.
4. The method of recognizing an obstacle detection signal according to claim 1, further comprising:
if the last induction signal in the first signal group is larger than the first preset threshold value, continuously acquiring the induction signal in a second preset time period;
if the induction signal in the second preset time period is larger than the first preset threshold, adding the induction signal in the second preset time period into the second signal group, continuing to collect the induction signal in a third preset time period, and so on until the induction signal in the next time period is smaller than the first preset threshold.
5. The obstacle detection signal recognition method according to claim 4, wherein the first preset time period and the second preset time period have the same time length.
6. The method of identifying an obstacle detection signal according to claim 1, wherein the generating a second signal group from the first signal group and a first preset threshold comprises:
calculating the average value of the induction signals of the first signal group;
comparing the induction signals in the first signal group with the average value of the induction signals;
and comparing the induction signal after comparison with the first preset threshold value to generate a second signal group.
7. An identification circuit for an obstacle detection signal, comprising:
the transmitting module is used for transmitting infrared signals;
the receiving module is used for collecting induction signals generated after the infrared signals are reflected;
the control module is used for acquiring a first signal group acquired by the receiving module, and the first signal group is an induction signal acquired by the receiving module within a first preset time period; generating a second signal group according to the first signal group and a first preset threshold value; and if the number of the induction signals in the second signal group is larger than a second preset threshold value, judging that the induction signals are obstacle detection signals, wherein the second signal group comprises the induction signals larger than the first preset threshold value.
8. A gesture recognition apparatus comprising an identification circuit of an obstacle detection signal according to claim 7, and a transparent member for protecting the identification circuit.
9. A luminaire comprising the gesture recognition device of claim 8.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1 to 6.
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