CN113205661A - Anti-cheating implementation method and system, intelligent wearable device and storage medium - Google Patents

Anti-cheating implementation method and system, intelligent wearable device and storage medium Download PDF

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Publication number
CN113205661A
CN113205661A CN202110482798.8A CN202110482798A CN113205661A CN 113205661 A CN113205661 A CN 113205661A CN 202110482798 A CN202110482798 A CN 202110482798A CN 113205661 A CN113205661 A CN 113205661A
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wearer
data
preset
state
wearable device
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CN202110482798.8A
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Chinese (zh)
Inventor
裴曾妍
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Guangdong Imoo Electronic Technology Co Ltd
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Guangdong Imoo Electronic Technology Co Ltd
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Priority to CN202110482798.8A priority Critical patent/CN113205661A/en
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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • G08B21/0202Child monitoring systems using a transmitter-receiver system carried by the parent and the child
    • G08B21/0205Specific application combined with child monitoring using a transmitter-receiver system
    • G08B21/0211Combination with medical sensor, e.g. for measuring heart rate, temperature
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • G08B21/0202Child monitoring systems using a transmitter-receiver system carried by the parent and the child
    • G08B21/0205Specific application combined with child monitoring using a transmitter-receiver system
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • G08B21/0202Child monitoring systems using a transmitter-receiver system carried by the parent and the child
    • G08B21/0205Specific application combined with child monitoring using a transmitter-receiver system
    • G08B21/0208Combination with audio or video communication, e.g. combination with "baby phone" function
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • G08B21/0202Child monitoring systems using a transmitter-receiver system carried by the parent and the child
    • G08B21/028Communication between parent and child units via remote transmission means, e.g. satellite network
    • G08B21/0283Communication between parent and child units via remote transmission means, e.g. satellite network via a telephone network, e.g. cellular GSM
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/22Procedures used during a speech recognition process, e.g. man-machine dialogue
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/48Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
    • G10L25/51Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/48Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
    • G10L25/51Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
    • G10L25/63Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination for estimating an emotional state

Abstract

The invention provides an anti-cheating implementation method and system, an intelligent wearable device and a storage medium, wherein the method comprises the following steps: judging whether the wearer is in a deceived state or not; if the wearer is in the deceased state, acquiring environmental data around the wearer; sending the environment data to a preset contact person or a server; wherein the environment data comprises one or more of audio data, image data and video data of the surrounding environment. The invention realizes timely notification and evidence obtaining record of the deception event.

Description

Anti-cheating implementation method and system, intelligent wearable device and storage medium
Technical Field
The invention relates to the technical field of data processing, in particular to an anti-cheating implementation method, an anti-cheating implementation system, an intelligent wearable device and a storage medium.
Background
Campus violence, family violence and other deception events endangering the healthy growth of the guardianed people often occur in primary and middle school students, the old and sick groups without the ability of autonomous action. The deceptive event generally includes limb deceptive and speech deceptive, which includes pushing, punching, fanning, and robbing belongings. Speech cheating includes jeopardy, abuses, and insults.
The deceased person usually has double wound on body and mind, and the shadow is easy to leave and difficult to smooth for a long time. Therefore, how to provide an anti-cheating mode to ensure that when students suffer from campus overlooking, the technical problem that the guardian is informed in time and the automatic evidence obtaining is in urgent need of being solved is provided.
Disclosure of Invention
The invention aims to provide an anti-cheating implementation method, an anti-cheating implementation system, an intelligent wearable device and a storage medium, which are used for timely notifying and obtaining evidence of an cheating event.
The technical scheme provided by the invention is as follows:
the invention provides an anti-cheating implementation method, which comprises the following steps:
judging whether the wearer is in a deceived state or not;
if the wearer is in the deceased state, acquiring environmental data around the wearer; sending the environment data to a preset contact person or a server;
wherein the environment data comprises one or more of audio data, image data and video data of the surrounding environment.
Further, the determining whether the wearer is in a spoofed state comprises the steps of:
judging whether preset voice characteristics are met or not according to the acquired voice information, and obtaining a corresponding judgment result; or the like, or, alternatively,
judging whether the physiological state data of the wearer exceeds a corresponding set physiological threshold value or not according to the physiological state data of the wearer, and obtaining a corresponding judgment result; or the like, or, alternatively,
judging whether the preset cheating distance range is met or not according to the acquired distance data, and obtaining a corresponding judgment result; or the like, or, alternatively,
judging whether the preset body posture is met or not according to the motion state data of the wearer, and obtaining a corresponding judgment result;
if the judgment result meets at least one of the following set conditions, determining that the wearer is in a deceived state;
the preset voice features comprise one or more of preset sensitive words, preset emotion features and preset sound features; the set conditions comprise that the voice information meets a preset voice characteristic, the physiological state data exceeds a corresponding set physiological threshold, the distance data accords with a preset cheating distance range, and the motion state data accords with a preset body posture.
Further, the motion state data comprises motion change data and air pressure change data; the determining whether the spoofed state is met according to the motion state data of the wearer includes the steps of:
analyzing the motion state of the wearer according to the motion change data;
and judging whether the preset body posture is met or not according to the action posture and the air pressure change data.
Further, after the collecting the environmental data around the wearer, before the sending the environmental data to a preset contact or a server, the method includes the steps of:
detecting whether the residual electric quantity is sufficient or not and detecting whether a wireless network is stable or not;
and if the residual electric quantity is insufficient or the wireless network is unstable, deleting the audio clip without the preset voice characteristics to obtain final environment data.
Further, the method further comprises the following steps after the state of being deceived:
positioning to obtain the position information of a wearer, and sending the position information to a preset contact person or a server;
and controlling the intelligent wearable equipment to execute corresponding operation according to the acquired emergency scheme.
The invention also provides an anti-cheating implementation system, which comprises:
the processing module is used for judging whether the wearer is in a deceived state or not;
the control module is used for collecting the environmental data around the wearer if the wearer is in the deception state;
and the communication module is used for sending the environment data to a preset contact person or a server.
Further, the processing module comprises:
a first judging unit, configured to judge whether preset voice characteristic environment data is satisfied according to the obtained voice information, and obtain a corresponding judgment result
The second judgment unit is used for judging whether the physiological state data of the wearer exceeds a corresponding set physiological threshold value or not according to the physiological state data of the wearer, obtaining a corresponding judgment result and obtaining a corresponding judgment result;
the third judging unit is used for judging whether the preset cheating distance range is met or not according to the acquired distance data and obtaining a corresponding judgment result;
the fourth judging unit is used for judging whether the preset body posture is met or not according to the motion state data of the wearer and obtaining a corresponding judgment result;
the processing unit is used for determining that the wearer is in the deceived state if the judgment result meets at least one of the following setting conditions;
the preset voice features comprise one or more of preset sensitive words, preset emotion features and preset sound features; the set conditions comprise that the voice information meets a preset voice characteristic, the physiological state data exceeds a corresponding set physiological threshold, the distance data accords with a preset cheating distance range, and the motion state data accords with a preset body posture.
Further, the motion state data comprises motion change data and air pressure change data; the fourth judgment unit includes:
the analysis subunit is used for analyzing and obtaining the action state of the wearer according to the motion change data;
and the judging subunit is used for judging whether the preset body posture is met or not according to the action posture and the air pressure change data.
Further, the method also comprises the following steps:
the detection module is used for detecting whether the residual electric quantity is sufficient or not and detecting whether the wireless network is stable or not;
the control module is further configured to delete the audio clip without the preset voice feature to obtain final environment data if the remaining power is insufficient or the wireless network is unstable.
Further, the method also comprises the following steps: the positioning module is used for positioning and acquiring the position information of the wearer;
the communication module is also used for sending the position information to a preset contact person or a server;
the control module is further used for controlling the intelligent wearable device to execute corresponding operation according to the acquired emergency scheme.
The invention also provides an intelligent wearable device, which comprises a processor, a memory and a computer program stored in the memory and capable of running on the processor, wherein the processor is used for executing the computer program stored in the memory to realize the operation executed by the anti-cheating realization method.
The present invention also provides a storage medium having at least one instruction stored therein, where the instruction is loaded and executed by a processor to implement the operations performed by the anti-spoofing implementation method.
By the anti-cheating implementation method and system, the intelligent wearable device and the storage medium, timely notification and evidence obtaining recording of the cheating event can be achieved.
Drawings
The foregoing features, technical features, advantages and implementations of an anti-spoofing implementation method, system, smart wearable device and storage medium will be further described in the following detailed description of preferred embodiments in a clearly understandable manner in conjunction with the accompanying drawings.
FIG. 1 is a flow chart of one embodiment of a method of implementing anti-spoofing of the present invention;
FIG. 2 is a flow chart of another embodiment of a method of implementing anti-spoofing of the present invention;
FIG. 3 is a flow chart of another embodiment of a method of implementing anti-spoofing of the present invention;
fig. 4 is a flow chart of another embodiment of an anti-spoofing implementation method of the present invention.
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. However, it will be apparent 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, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
For the sake of simplicity, the drawings only schematically show the parts relevant to the present invention, and they do not represent the actual structure as a product. In addition, in order to make the drawings concise and understandable, components having the same structure or function in some of the drawings are only schematically illustrated or only labeled. In this document, "one" means not only "only one" but also a case of "more than one".
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
In addition, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not intended to indicate or imply relative importance.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following description will be made with reference to the accompanying drawings. It is obvious that the drawings in the following description are only some examples of the invention, and that for a person skilled in the art, other drawings and embodiments can be derived from them without inventive effort.
In one embodiment of the present invention, as shown in fig. 1, an anti-spoofing implementation method includes:
s100, judging whether the wearer is in a deception state or not;
specifically, the intelligent wearable device includes but is not limited to intelligent bracelet, intelligent wrist-watch, intelligent glasses, intelligent foot ring, intelligent clothing, intelligent shoes and hats. The intelligent wearable device generally monitors and acquires detection data in real time, and if the detection data is acquired, the intelligent wearable device analyzes the detection data in detail to judge whether the wearer is in a deceived state or not. Of course, the intelligent wearable device can also send the acquired detection data to the server, and the server performs detailed analysis on the detection data to judge whether the wearer is in a deceived state.
S200, if the wearer is in the deceived state, acquiring environmental data around the wearer;
s300, sending the environment data to a preset contact person or a server;
wherein the environment data comprises one or more of audio data, image data and video data of the surrounding environment.
Specifically, the environment data includes any one or more of audio data, image data, and video data. If the intelligent wearable device or the server judges that the wearer is not in the deceived state, the intelligent wearable device is controlled to keep the current working state, but if the intelligent wearable device or the server judges that the wearer is in the deceived state, a microphone carried by the intelligent wearable device is triggered to start recording and acquiring audio data to obtain environment data. Or triggering a camera of the intelligent wearable device to start to shoot discontinuously to obtain image data or shoot continuously to obtain video data. Of course, the microphone of the intelligent wearable device can be triggered to start recording and acquire audio data, the camera of the intelligent wearable device can be triggered to start intermittent shooting to acquire image data or continuous shooting to acquire video data, and the audio data, the image data or the video data are used as environment data. Therefore, the environment data collected by the intelligent wearable device can be used as evidence obtaining content to provide evidence for a wearer or a guardian. After the intelligent wearable device collects the environment data, the environment data is sent to the preset contact person, so that the preset contact person is informed that the person under guardianship who is responsible for the preset contact person is likely to be deceived.
The wearer can automatically detect the deceived phenomenon by wearing the intelligent wearable device to acquire the detection data and judge whether the wearer is in the deceived state, and once the wearer is determined to be in the deceived state, the environment data can be acquired and sent to the preset contact person to inform the preset contact person of the deceived event, so that the wearer is effectively prevented from being scummed or deceived violence, and is prevented from being known after being exposed by a network or a media, the environment data can be timely and efficiently provided for the wearer, and effective evidence is provided for the wearer when the wearer subsequently finds responsibility for the deceived or deceived.
In an embodiment of the present invention, an anti-spoofing implementation method includes:
s110, judging whether preset voice characteristic environment data are met or not according to the acquired voice information;
s151, if the determination result is that the preset speech feature includes a preset sensitive word, determining that the wearer is in a deceived state;
the preset voice features comprise one or more of preset sensitive words, preset emotion features and preset sound features;
specifically, the preset voice feature includes one or more of a preset sensitive word, a preset emotion feature and a preset voice feature. The intelligent wearable device or the server collects voice information from a microphone arranged in the intelligent wearable device and performs voice recognition to obtain a voice recognition result, and then judges whether the voice recognition result comprises the preset voice features to obtain a corresponding judgment result.
For example, the smart wearable device or the server determines whether a preset sensitive word is included according to a keyword in the speech recognition result and outputs a corresponding determination result, where the preset sensitive word generally includes a deception sensitive word spoken by a deception applying party such as "beating", "going away from clothes", and a wake-up sensitive word spoken by a deception party such as "jumping", "deceiving", and the like.
For example, the smart wearable device or the server may determine whether a preset emotional characteristic (e.g., fear and abuse speech, etc.) is included according to the emotional characteristic of the speech in the speech recognition result, and output a corresponding determination result.
For example, the smart wearable device or the server may determine whether a preset sound characteristic (e.g., crying, distress, screaming, abusive, alarming, impacting, hitting, etc.) is included according to the voice sound characteristic in the voice recognition result, and output a corresponding determination result. And if the judgment result of the intelligent wearable device or the server is that the preset voice features comprise preset sensitive words, determining that the wearer is in the deceived state.
S200, if the wearer is in the deceived state, acquiring environmental data around the wearer;
s300, the environment data is sent to a preset contact person or a server.
The intelligent wearable device can judge whether the wearer is in the deceased state or not through the voice information, and once the wearer is determined to be in the deceased state, such as being abused, deceased in campus, subjected to abuse or frightened, the intelligent wearable device is controlled to collect environment data and timely send the environment data to the preset contact or the server, so that the preset contact or the server can timely inform the preset contact or the server to take corresponding intervention measures to warn the deceased party, the phenomenon that the wearer is overlooked or deceased is timely and effectively prevented, and the physical and psychological health of the wearer of the intelligent wearable device can be protected. In addition, the invention can avoid being known after being exposed by the network or the media, can provide environmental data for the wearer in time in a secret and high-efficiency manner, and provides effective evidence for the wearer when the wearer subsequently follows up responsibility for being overlooked or deceived.
In an embodiment of the present invention, an anti-spoofing implementation method includes:
s120, judging whether the physiological state data of the wearer exceeds a corresponding set physiological threshold value or not according to the physiological state data of the wearer, and obtaining a corresponding judgment result;
s152, if the physiological status data exceeds the corresponding set physiological threshold, determining that the wearer is in a deceived state;
in particular, physiological acquisition sensors include, but are not limited to, blood pressure sensors, body temperature sensors, heart rate sensors, and pulse sensors. The intelligent wearable device collects physiological state data such as a blood pressure value, a body temperature value and a heart rate value through the built-in physiological collection sensor, and the intelligent wearable device or the server compares the physiological state data collected by the built-in physiological collection sensor of the intelligent wearable device with a corresponding set physiological normal value. And if the physiological state data exceeds the corresponding set physiological threshold value as a result of the comparison of the intelligent wearable device or the server, determining that the wearer is in the deceived state.
Illustratively, the intelligent wearable device or the server determines whether the collected heart rate value is greater than a preset heart rate threshold value for 125 times/minute, and outputs a corresponding determination result. Illustratively, the intelligent wearable device or the server judges whether the acquired body temperature value is lower than a preset body temperature threshold value of 36 ℃, and outputs a corresponding judgment result.
S200, if the wearer is in the deceived state, acquiring environmental data around the wearer;
s300, the environment data is sent to a preset contact person or a server.
According to the invention, whether the wearer is in the deceased state or not can be judged through the physiological state data, once the wearer is determined to be in the deceased state, such as being abused, deceased in campus, subjected to abuse or terror and the like, the intelligent wearable device is controlled to collect the environmental data and timely send the environmental data to the preset contact or the server, so that the preset contact or the server can timely inform the wearer of taking corresponding intervention measures to warn the deceased party, therefore, the occurrence of the violence phenomenon that the wearer is overlooked or deceased can be effectively prevented in time, and the physical and psychological health of the wearer of the intelligent wearable device can be protected. In addition, the invention can avoid being known after being exposed by the network or the media, can provide environmental data for the wearer in time in a secret and high-efficiency manner, and provides effective evidence for the wearer when the wearer subsequently follows up responsibility for being overlooked or deceived.
In an embodiment of the present invention, an anti-spoofing implementation method includes:
s130, judging whether the preset cheating distance range is met or not according to the acquired distance data, and obtaining a corresponding judgment result;
s153, if the distance data matches the predetermined cheating distance range, determining that the wearer is in a cheated state;
specifically, the intelligent wearable device collects the distance value between the intelligent wearable device and other human bodies through a built-in distance measuring sensor such as an infrared sensor, and can represent the first distance value between the intelligent wearable device and other human bodies. The intelligent wearing equipment or the server compares a first distance value acquired by a distance measuring sensor arranged in the intelligent wearing equipment with a first preset distance threshold value, judges whether the first distance value is smaller than the first preset distance threshold value or not and outputs a corresponding judgment result. And if the judgment result of the intelligent wearable device or the server is that whether the first distance value is smaller than a first preset distance threshold value or not, determining that the wearer is in a cheated state.
In addition, intelligence wearing equipment is provided with body, first portion of wearing and second portion of wearing, and the body is used for wearing the position (for example wrist, neck etc.) of wearing at the person of wearing, and first portion of wearing sets up on the body, and second portion of wearing sets up with first portion of wearing correspondingly for wear the position with first portion of wearing interwork activity setting, wherein first portion of wearing, second portion of wearing department are provided with distance sensor for detect the second distance value between first portion of wearing and the second portion of wearing. The intelligent wearing equipment or the server compares a second distance value acquired by a distance sensor arranged in the intelligent wearing equipment with a second preset distance threshold value, judges whether the second distance value is greater than the second preset distance threshold value or not and outputs a corresponding judgment result. And if the judgment result is that the second distance value is larger than the second preset distance threshold, determining that the wearer is in a deceived state.
S200, if the wearer is in the deceived state, acquiring environmental data around the wearer;
s300, the environment data is sent to a preset contact person or a server.
According to the method and the device, whether the wearer is in the deceased state or not can be judged through the distance information, once the wearer is determined to be in the deceased state, such as being abused, deceased in campus, subjected to abuse or terror and the like, the intelligent wearable device is controlled to collect the environment data and timely send the environment data to the preset contact or the server, timely informing is achieved, so that the preset contact or the server can take corresponding intervention measures to warn the deceased party, the phenomenon that the wearer is overlooked or deceased is prevented effectively in time, and the physical and psychological health of the wearer of the intelligent wearable device can be protected. In addition, the invention can avoid being known after being exposed by the network or the media, can provide environmental data for the wearer in time in a secret and high-efficiency manner, and provides effective evidence for the wearer when the wearer subsequently follows up responsibility for being overlooked or deceived.
In an embodiment of the present invention, an anti-spoofing implementation method includes:
s140, judging whether the preset body posture is met or not according to the motion state data of the wearer, and obtaining a corresponding judgment result;
s153, if the motion state data matches the preset body posture, determining that the wearer is in a deceived state;
specifically, the intelligent wearable device acquires motion state data through built-in motion sensors (including but not limited to acceleration sensors and gyroscope sensors) and air pressure sensors. Whether the motion state data acquired by the motion sensor and the air pressure sensor which are arranged in the intelligent wearing device are analyzed by the intelligent wearing device or the server to be in line with the deceived state or not is analyzed, and a corresponding judgment result is output. And if the judgment result of the intelligent wearable device or the server is that the motion state data accord with the preset body posture, determining that the wearer is in the deceived state.
S200, if the wearer is in the deceived state, acquiring environmental data around the wearer;
s300, the environment data is sent to a preset contact person or a server.
The intelligent wearable device can judge whether the wearer is in the deceased state or not through the motion state data, and once the wearer is determined to be in the deceased state, such as being abused, deceased in campus, subjected to abuse or terror and the like, the intelligent wearable device is controlled to collect the environment data and timely send the environment data to the preset contact or the server, so that the preset contact or the server can timely inform the user of taking corresponding intervention measures to warn the deceased user, the occurrence of the violence phenomenon that the wearer is overlooked or deceased can be timely and effectively prevented, and the physical and psychological health of the wearer of the intelligent wearable device can be protected. In addition, the invention can avoid being known after being exposed by the network or the media, can provide environmental data for the wearer in time in a secret and high-efficiency manner, and provides effective evidence for the wearer when the wearer subsequently follows up responsibility for being overlooked or deceived.
In an embodiment of the present invention, as shown in fig. 2, a method for implementing anti-spoofing includes:
s110, judging whether preset voice characteristics are met or not according to the acquired voice information, and obtaining a corresponding judgment result;
s120, judging whether the physiological state data of the wearer exceeds a corresponding set physiological threshold value or not according to the physiological state data of the wearer, and obtaining a corresponding judgment result;
s130, judging whether the preset cheating distance range is met or not according to the acquired distance data, and obtaining a corresponding judgment result;
s140, judging whether the preset body posture is met or not according to the motion state data of the wearer, and obtaining a corresponding judgment result;
s150, if the determination result meets at least one of the following setting conditions, determining that the wearer is in a deceived state;
the preset voice features comprise one or more of preset sensitive words, preset emotion features and preset sound features; the set conditions comprise that the voice information meets a preset voice characteristic, the physiological state data exceeds a corresponding set physiological threshold, the distance data accords with a preset cheating distance range, and the motion state data accords with a preset body posture.
Specifically, this embodiment is an optimized embodiment of the above embodiment, and the same portions as those in the above embodiment are referred to the above embodiment, and are not described in detail here. The intelligent wearable equipment can acquire the voice information, the distance data, the physiological state data of the wearer,
Wherein the first case is: if the voice information is determined to meet any one or more preset voice characteristics in the determination result, the intelligent wearable device or the server can preliminarily determine that the wearer suffers from cheating phenomena such as campus violence.
Wherein the second case is: if the physiological state data is determined to exceed any one or more set physiological normal values in the judgment result, the intelligent wearable device or the server can preliminarily judge that the wearer suffers from cheating phenomena such as campus violence.
Wherein the third case is: if the first distance value is determined to be smaller than the first preset distance threshold value in the judgment result, the intelligent wearable device or the server can preliminarily judge that the wearer suffers from the phenomenon of cheating such as campus violence.
Wherein the fourth case is: if the second distance value is larger than the second preset distance threshold value in the judgment result, the first wearing part and the second wearing part are violently damaged, and the intelligent wearable device or the server can preliminarily judge that the wearer suffers from the phenomenon of deception such as campus violence.
Wherein the fifth case is: if the motion state data is determined to be in accordance with the deceived state in the judgment result, the intelligent wearable device or the server can preliminarily judge that the wearer suffers from deception phenomena such as campus violence.
In other cases, any combination of the above five cases is not described in detail herein.
The intelligent wearable device is provided with functional elements in advance, and the functional elements comprise a sensor, a camera, a microphone and the like. The sensors include, but are not limited to, an air pressure sensor, a motion sensor, a distance measurement sensor, and a physiological acquisition sensor, which are respectively used for detecting the current acceleration, air pressure, gravity value, and angular velocity in real time. Since the sensor data acquired by the sensor has noise and a certain error, the acquired sensor data needs to be filtered.
Preferably, the smart wearable device acquires the detection data from the corresponding functional element. Because the functional element among the present intelligent wearing equipment can detect work at all times, consequently, need not additionally to reform transform intelligent wearing equipment, the functional element who utilizes intelligent wearing equipment self to set up just can acquire the detection data and whether triggers the judgement of opening the function of collecting evidence in order to participate in, the detection data of gathering in real time through self judges, can avoid because reasons such as network interruption or network unstability, unable in time obtain and confirm by deceived judgement result, and then lead to unable in time collecting evidence and record the phenomenon of opening.
In this embodiment, the intelligent wearable device can selectively collect one or more of voice information, distance data, the motion state data of the wearer, and physiological state data as detection data according to the built-in functional element. Similarly, if the intelligent wearable device collects multiple types of detection data, the detection data with high confidence can be selected for priority to be judged according to the preset confidence of the detection data with different types. Of course, the determination may be performed synchronously and separately according to different types of detection data. Illustratively, the intelligent wearable device collects voice information, distance data and motion state data of the wearer, and if the confidence of the motion state data is the highest, the intelligent wearable device or the server may determine the motion state data through the determination process to obtain a corresponding determination result.
Illustratively, the voice message uttered by the wearer includes a fear of voice, and the wearer is determined to encounter campus violence by having a body temperature below 36 ℃ due to emotional stress and fear, having a heart rate that increases by more than 125 beats/minute, and determining that the second distance value is greater than the second predetermined distance threshold.
Preferably, the smart wearable device acquires the detection data from the corresponding functional element. Because the functional element among the present intelligent wearing equipment can detect work at all times, consequently, need not additionally to reform transform intelligent wearing equipment, the functional element who utilizes intelligent wearing equipment self to set up just can acquire the detection data and whether triggers the judgement of opening the function of collecting evidence in order to participate in, the detection data of gathering in real time through self judges, can avoid because reasons such as network interruption or network unstability, unable in time obtain and confirm by deceived judgement result, and then lead to unable in time collecting evidence and record the phenomenon of opening.
S200, if the wearer is in the deceived state, acquiring environmental data around the wearer;
s300, the environment data is sent to a preset contact person or a server.
According to the invention, the wearer can analyze and judge whether the wearer is likely to suffer from the scumming by wearing the intelligent wearable device and integrating the detection data acquired by the various functional elements, so that the wearer can be automatically detected by the phenomenon of the scumming, and the accuracy is greatly improved. Once the wearer is determined to be possibly in the deceased state, the environment data can be collected and sent to the preset contact person to inform that the deceased event possibly occurs, the collected environment data can assist secondary analysis and judgment, whether the wearer is in the deceased state or not can be judged more accurately, and the problems that the recognition rate of the deceased behavior is low, misjudgment often occurs, and ambiguity and dispute are easily caused are solved. Moreover, the preset contact person is informed of the sending of the environment data through the intelligent wearable device or the server, so that the guardian can timely handle the preset contact person, the phenomenon that the wearer is afraid or deceived is effectively prevented, and the physical and psychological health of the wearer of the intelligent wearable device can be effectively protected.
The invention can detect dangerous conditions such as abuse or campus deception which cannot be told or dare (threatened) by the person under guardianship, and can detect whether the living environment of the person under guardianship is healthy such as abuse or fright. Moreover, the invention can avoid being known after being exposed by the network or the media, can provide environmental data for the wearer in time and secretly and efficiently, and provides effective evidence for the wearer when the wearer subsequently follows the responsibility for being overlooked or deceived.
In one embodiment of the present invention, as shown in fig. 3, an anti-spoofing implementation method is provided, wherein the exercise state data includes exercise variation data and gas pressure variation data;
s110, judging whether preset voice characteristics are met or not according to the acquired voice information, and obtaining a corresponding judgment result;
s120, judging whether the physiological state data of the wearer exceeds a corresponding set physiological threshold value or not according to the physiological state data of the wearer, and obtaining a corresponding judgment result;
s130, judging whether the preset cheating distance range is met or not according to the acquired distance data, and obtaining a corresponding judgment result;
s141, analyzing the movement change data to obtain the action state of the wearer, and judging whether the action posture and the air pressure change data accord with a preset body posture;
specifically, this embodiment is an optimized embodiment of the above embodiment, and the same portions as those in the above embodiment are referred to the above embodiment, and are not described in detail here. Motion change data includes, but is not limited to, angular velocity data, acceleration data, gyroscope data, altitude data, gravity data. The preset motion change characteristics and the preset air pressure change characteristics corresponding to the preset postures of beating, charging, toppling, falling and the like are collected in advance.
The intelligent wearable device acquires the air pressure change data through the movement change data acquired by the built-in movement sensor and the air pressure sensor. The intelligent wearable device or the server calculates the peak convexity of the motion change according to the motion change data, and first extraction features are obtained through the peak convexity. In addition, the intelligent wearable device or the server calculates an air pressure mean value, an air pressure variance, an air pressure mean square value and a fitting slope according to the air pressure change data, and a second extraction feature is obtained through the air pressure mean value, the air pressure variance, the air pressure mean square value and the fitting slope. The intelligent wearable device or the server extracts the characteristics and preset the motion change characteristics and the air pressure change characteristics according to the first extraction characteristics and the second extraction characteristics, verifies and compares whether the characteristics correspond to any one or more preset gestures of being beaten, being charged, being overturned and being fallen down, and outputs the corresponding judgment result.
S150, if the determination result meets at least one of the following setting conditions, determining that the wearer is in a deceived state;
for example, campus rabdosia is a common social phenomenon, which is mostly found in the group of primary and middle school students. Campus scurry has various manifestations, such as physical violence, speech cheat, property damage, isolation and the like, wherein the physical violence is the most serious and the speech cheat is the most frequent. The current campus overlord alarm system is basically passive. When the scumming occurs, the user needs to manually operate to send the alarm short message. This is difficult for a blond victim, and may therefore incur more severe fraud, while bystanders fear being reimbursed by the party applying the fraud and dare to operate on the scene, which prevents the guardian from knowing the message in a timely manner. By analyzing and judging the detection information, if the voice information sent by the wearer includes fear and fear of voice, the body temperature of the wearer is lower than 36 ℃ due to emotional stress and fear, the heart rate is accelerated by more than 125 times/minute, and the situation that the arm action amplitude of the wearer is large and accords with the deceptive posture is monitored, the campus violence can be judged to be encountered.
S200, if the wearer is in the deceived state, acquiring environmental data around the wearer;
s300, the environment data is sent to a preset contact person or a server.
Preferably, if be in by the deception state, control intelligent wearing equipment and gather environmental data under the news screen state, intelligent wearing equipment is after starting the camera promptly, can shoot under the black screen state when not showing the preview screen by automatic control camera. Because be in the information screen state, the difficult discovery intelligence wearing equipment of party is gathering environmental data is applyed in the deception, and intelligence wearing equipment can be under the silence state with environmental data send to presetting contact or server to in time notice and the record of collecting evidence to the deception incident have been guaranteed.
Preferably, the guardian or other related personnel to which the environmental data is sent is set by the wearer or the guardian, and the preset contact person may be one or more.
Preferably, the incoming call information initiated by the preset contact person or the server is monitored, and when the incoming call information initiated by the preset contact person or the server is monitored, the mute is set and the incoming call is automatically connected, so that the wearer can connect the incoming call without any operation and under the condition that the wearer is not known by the party applying the cheating, the preset contact person or the server can collect and record the sound sent by the site, and the preset contact person or the server is ensured to further know the cheating event condition according to the site recorded sound in time and take corresponding measures.
The invention can detect whether the wearer is abused, deceased or in other situations which have negative effects on the wearer and inform the guardian, so that the protection is more timely and easier to obtain evidence. The invention can monitor whether the vulnerable people such as women, children, old people and the like are in a deceptive state in real time so as to attract the attention of the guardian in time, carry out maximum monitoring on the personal safety and the life and property safety of the wearer, help the wearer to break away from the dangerous situation so as to rescue and evidence collection in time, has wide application range and is convenient to popularize.
In an embodiment of the present invention, as shown in fig. 4, an anti-spoofing implementation method includes the steps of:
s100, judging whether the wearer is in a deception state or not;
s200, if the wearer is in the deceived state, acquiring environmental data around the wearer;
s210, detecting whether the residual electric quantity is sufficient or not and detecting whether a wireless network is stable or not;
s220, if the residual electric quantity is insufficient or the wireless network is unstable, deleting the audio clip without the preset voice characteristics to obtain final environment data;
s300, the environment data is sent to a preset contact person or a server.
Specifically, this embodiment is an optimized embodiment of the above embodiment, and the same portions as those in the above embodiment are referred to the above embodiment, and are not described in detail here. Whether intelligent wearing equipment detects self residual capacity is sufficient to it is stable to detect self wireless network. If the residual electric quantity is insufficient or the wireless network is unstable, the intelligent wearable device deletes the audio clip without the preset voice feature, and only the audio clip with the preset voice feature is left to obtain final environment data.
The invention can detect whether the wearer is abused, deceased or in other situations which have negative effects on the wearer and inform the guardian, so that the protection is more timely and easier to obtain evidence. In addition, the environment data including the preset voice characteristics is obtained by intercepting the environment data, so that the electric quantity resource of the intelligent wearable device can be saved, the reduced environment data can be reliably and effectively sent to the preset contact person or the server under the condition of unstable network, whether vulnerable people such as women, children and the old are in a deception state or not can be monitored in real time, the attention of a guardian can be timely aroused, the personal safety and the life and property safety of a wearer can be monitored to the maximum extent, the wearer can be helped to break away from the dangerous situation, and the rescue and the evidence collection can be timely carried out.
In an embodiment of the present invention, an anti-spoofing implementation method includes the steps of:
s100, judging whether the wearer is in a deception state or not;
s201, if the user is in a deceived state, acquiring environmental data around the wearer;
s300, sending the environment data to a preset contact person or a server;
s400, positioning to obtain the position information of the wearer, and sending the position information to a preset contact or a server;
specifically, the intelligent wearable device acquires position information of the intelligent wearable device through positioning of the GPS sensor and sends the position information to a preset contact person or a server. Of course, the condition for triggering the intelligent wearable device to send the location information in a positioning manner can be set by the wearer or the guardian. For example, if it is determined that the time counted after the device is in the spoofed state reaches a preset time, the smart wearable device is controlled to automatically position and send the location information. Of course, the intelligent wearable device can be controlled to automatically position and send the position information after the feedback information sent by the preset contact person or the server is received.
And S500, controlling the intelligent wearable equipment to execute corresponding operation according to the acquired emergency scheme.
Specifically, an emergency scheme can be prestored in the intelligent wearable device, and the emergency scheme can also be received and acquired from a preset contact person or a server. The emergency scheme includes but is not limited to sounding a siren with sound and light to alarm, dialing a distress call to a preset contact (including but not limited to a teacher, a parent or a friend, a dispatching station, etc.), or generating distress information according to the position information and sending the distress information or a short message to the preset contact to ask for help, etc. The emergency scheme is not limited to the above, and other schemes for the emergency protection wearer to interrupt the deceptive event are within the scope of the present invention.
Illustratively, when it is determined that a wearer suffers from campus blurriness, the intelligent wearable device is controlled to send a distress call to a mobile phone number of a preset contact person, if no person answers the call, the preset contact person continues to dial a prestored mobile phone number of the next preset contact person for cyclic dialing, after the call is answered, the intelligent wearable device is controlled to play a prerecorded siren sound record, the preset contact person answering the distress call receives environment data sent by the intelligent wearable device in real time, any one or more of audio data, image data, video data and time information of the wearer are inquired, and rescue is carried out on a distress place according to position information sent by the intelligent wearable device.
The intelligent wearable device or the server sends the environmental data and the position information to the preset contact person to facilitate the guardian to process in time, and controls the intelligent wearable device to execute the corresponding operation interrupt deception event according to the acquired emergency scheme, so as to give a warning to the deception application party, thereby not only effectively preventing the wearer from being scummed or deceived violence, but also effectively protecting the physical and psychological health of the wearer of the intelligent wearable device.
In an embodiment of the present invention, an anti-spoofing implementation system includes:
the processing module is used for judging whether the wearer is in a deceived state or not;
specifically, the intelligent wearable device includes but is not limited to intelligent bracelet, intelligent wrist-watch, intelligent glasses, intelligent foot ring, intelligent clothing, intelligent shoes and hats. The intelligent wearable device generally monitors and acquires detection data in real time, and if the detection data is acquired, the intelligent wearable device analyzes the detection data in detail to judge whether the wearer is in a deceived state or not. Of course, the intelligent wearable device can also send the acquired detection data to the server, and the server performs detailed analysis on the detection data to judge whether the wearer is in a deceived state.
The control module is used for collecting the environmental data around the wearer if the wearer is in the deception state;
and the communication module is used for sending the environment data to a preset contact person or a server.
Specifically, if intelligent wearing equipment or server judge that the wearer is not in by the state of deceiving, then control intelligent wearing equipment and keep current operating condition, however, if intelligent wearing equipment or server judge that the wearer is in by the state of deceiving, then will trigger intelligent wearing equipment to open the function of collecting evidence, control intelligent wearing equipment to gather environmental data promptly. After the intelligent wearable device collects the environment data, the environment data is sent to the preset contact person, so that the preset contact person is informed that the person under guardianship who is responsible for the preset contact person is deceived.
The wearer can automatically detect the deceived phenomenon by wearing the intelligent wearable device to acquire the detection data and judge whether the wearer is in the deceived state, and once the wearer is determined to be in the deceived state, the environment data can be acquired and sent to the preset contact person to inform the preset contact person of the deceived event, so that the wearer is effectively prevented from being scummed or deceived violence, and is prevented from being known after being exposed by a network or a media, the environment data can be timely and efficiently provided for the wearer, and effective evidence is provided for the wearer when the wearer subsequently finds responsibility for the deceived or deceived.
Based on the foregoing embodiments, the processing module includes:
a first judging unit, configured to judge whether preset voice characteristic environment data is satisfied according to the obtained voice information, and obtain a corresponding judgment result
Specifically, this embodiment is an optimized embodiment of the above embodiment, and the same portions as those in the above embodiment are referred to the above embodiment, and are not described in detail here. The intelligent wearable device is provided with functional elements in advance, and the functional elements comprise a sensor, a camera, a microphone and the like. The sensors include, but are not limited to, an air pressure sensor, a motion sensor, a distance measurement sensor, and a physiological acquisition sensor, which are respectively used for detecting the current acceleration, air pressure, gravity value, and angular velocity in real time. Since the sensor data acquired by the sensor has noise and a certain error (which cannot be avoided), the acquired sensor data needs to be filtered.
Preferably, the smart wearable device acquires the detection data from the corresponding functional element. Because the functional element among the present intelligent wearing equipment can detect work at all times, consequently, need not additionally to reform transform intelligent wearing equipment, the functional element who utilizes intelligent wearing equipment self to set up just can acquire the detection data and whether triggers the judgement of opening the function of collecting evidence in order to participate in, the detection data of gathering in real time through self judges, can avoid because reasons such as network interruption or network unstability, unable in time obtain and confirm by deceived judgement result, and then lead to unable in time collecting evidence and record the phenomenon of opening.
Specifically, the preset voice features include preset sensitive words, preset emotion features and preset voice features. The intelligent wearable device or the server collects voice information from a microphone arranged in the intelligent wearable device and performs voice recognition to obtain a voice recognition result, and then judges whether the voice recognition result comprises the preset voice features to obtain a corresponding judgment result.
For example, the smart wearable device or the server determines whether a preset sensitive word is included according to a keyword in the speech recognition result and outputs a corresponding determination result, where the preset sensitive word generally includes a deception sensitive word spoken by a deception applying party such as "beating", "going away from clothes", and a wake-up sensitive word spoken by a deception party such as "jumping", "deceiving", and the like.
For example, the smart wearable device or the server may determine whether a preset emotional characteristic (e.g., fear and abuse speech, etc.) is included according to the emotional characteristic of the speech in the speech recognition result, and output a corresponding determination result.
For example, the smart wearable device or the server may determine whether a preset sound characteristic (e.g., crying, distress, screaming, abusive, alarming, impacting, hitting, etc.) is included according to the voice sound characteristic in the voice recognition result, and output a corresponding determination result.
The second judgment unit is used for judging whether the physiological state data of the wearer exceeds a corresponding set physiological threshold value or not according to the physiological state data of the wearer and obtaining a corresponding judgment result;
in particular, physiological acquisition sensors include, but are not limited to, blood pressure sensors, body temperature sensors, heart rate sensors, and pulse sensors. The intelligent wearable device collects physiological state data such as a blood pressure value, a body temperature value and a heart rate value through the built-in physiological collection sensor, and the intelligent wearable device or the server compares the physiological state data collected by the built-in physiological collection sensor of the intelligent wearable device with a corresponding set physiological normal value.
Illustratively, the intelligent wearable device or the server determines whether the collected heart rate value is greater than a preset heart rate threshold value for 125 times/minute, and outputs a corresponding determination result. Illustratively, the intelligent wearable device or the server judges whether the acquired body temperature value is lower than a preset body temperature threshold value of 36 ℃, and outputs a corresponding judgment result.
The third judging unit is used for judging whether the preset cheating distance range is met or not according to the acquired distance data and obtaining a corresponding judgment result;
specifically, the intelligent wearable device collects the distance value between the intelligent wearable device and other human bodies through a built-in distance measuring sensor such as an infrared sensor, and can represent the first distance value between the intelligent wearable device and other human bodies. The intelligent wearing equipment or the server compares a first distance value acquired by a distance measuring sensor arranged in the intelligent wearing equipment with a first preset distance threshold value, judges whether the first distance value is smaller than the first preset distance threshold value or not and outputs a corresponding judgment result.
In addition, intelligence wearing equipment is provided with body, first portion of wearing and second portion of wearing, and the body is used for wearing the position (for example wrist, neck etc.) of wearing at the person of wearing, and first portion of wearing sets up on the body, and second portion of wearing sets up with first portion of wearing correspondingly for wear the position with first portion of wearing interwork activity setting, wherein first portion of wearing, second portion of wearing department are provided with distance sensor for detect the second distance value between first portion of wearing and the second portion of wearing. The intelligent wearing equipment or the server compares a second distance value acquired by a distance sensor arranged in the intelligent wearing equipment with a second preset distance threshold value, judges whether the second distance value is greater than the second preset distance threshold value or not and outputs a corresponding judgment result.
The fourth judging unit is used for judging whether the preset body posture is met or not according to the motion state data of the wearer and obtaining a corresponding judgment result;
specifically, the intelligent wearable device acquires motion state data through built-in motion sensors (including but not limited to acceleration sensors and gyroscope sensors) and air pressure sensors. Whether the motion state data acquired by the motion sensor and the air pressure sensor which are arranged in the intelligent wearing device are analyzed by the intelligent wearing device or the server to be in line with the deceived state or not is analyzed, and a corresponding judgment result is output.
The processing unit is used for determining that the wearer is in the deceived state if the judgment result meets at least one of the following setting conditions;
the preset voice features comprise one or more of preset sensitive words, preset emotion features and preset sound features; the set conditions comprise that the voice information meets a preset voice characteristic, the physiological state data exceeds a corresponding set physiological threshold, the distance data accords with a preset cheating distance range, and the motion state data accords with a preset body posture.
Specifically, the intelligent wearable device or the server can perform judgment through the judgment process to obtain a corresponding judgment result.
Wherein the first case is: if the voice information is determined to meet any one or more preset voice characteristics in the determination result, the intelligent wearable device or the server can preliminarily determine that the wearer suffers from cheating phenomena such as campus violence.
Wherein the second case is: if the physiological state data is determined to exceed any one or more set physiological normal values in the judgment result, the intelligent wearable device or the server can preliminarily judge that the wearer suffers from cheating phenomena such as campus violence.
Wherein the third case is: if the first distance value is determined to be smaller than the first preset distance threshold value in the judgment result, the intelligent wearable device or the server can preliminarily judge that the wearer suffers from the phenomenon of cheating such as campus violence.
Wherein the fourth case is: if the second distance value is larger than the second preset distance threshold value in the judgment result, the first wearing part and the second wearing part are violently damaged, and the intelligent wearable device or the server can preliminarily judge that the wearer suffers from the phenomenon of deception such as campus violence.
Wherein the fifth case is: if the motion state data is determined to be in accordance with the deceived state in the judgment result, the intelligent wearable device or the server can preliminarily judge that the wearer suffers from deception phenomena such as campus violence.
In other cases, any combination of the above five cases is not described in detail herein.
Illustratively, the voice message uttered by the wearer includes a fear of voice, and the wearer is determined to encounter campus violence by having a body temperature below 36 ℃ due to emotional stress and fear, having a heart rate that increases by more than 125 beats/minute, and determining that the second distance value is greater than the second predetermined distance threshold.
The preset voice features comprise preset sensitive words, preset emotion features and preset sound features.
According to the invention, the wearer can analyze and judge whether the wearer is likely to suffer from the scumming by wearing the intelligent wearable device and integrating the detection data acquired by the various functional elements, so that the wearer can be automatically detected by the phenomenon of the scumming, and the accuracy is greatly improved. Once the wearer is determined to be possibly in the deceased state, the environment data can be collected and sent to the preset contact person to inform that the deceased event possibly occurs, the collected environment data can assist secondary analysis and judgment, whether the wearer is in the deceased state or not can be judged more accurately, and the problems that the recognition rate of the deceased behavior is low, misjudgment often occurs, and ambiguity and dispute are easily caused are solved. Moreover, the preset contact person is informed of the sending of the environment data through the intelligent wearable device or the server, so that the guardian can timely handle the preset contact person, the phenomenon that the wearer is afraid or deceived is effectively prevented, and the physical and psychological health of the wearer of the intelligent wearable device can be effectively protected.
The invention can detect dangerous conditions such as abuse or campus deception which cannot be told or dare (threatened) by the person under guardianship, and can detect whether the living environment of the person under guardianship is healthy such as abuse or fright. Moreover, the invention can avoid being known after being exposed by the network or the media, can provide environmental data for the wearer in time and secretly and efficiently, and provides effective evidence for the wearer when the wearer subsequently follows the responsibility for being overlooked or deceived.
Based on the previous embodiment, the motion state data comprises motion change data and air pressure change data; the fourth judgment unit includes:
the analysis subunit is used for analyzing and obtaining the action state of the wearer according to the motion change data;
and the judging subunit is used for judging whether the preset body posture is met or not according to the action posture and the air pressure change data.
Specifically, this embodiment is an optimized embodiment of the above embodiment, and the same portions as those in the above embodiment are referred to the above embodiment, and are not described in detail here. Motion change data includes, but is not limited to, angular velocity data, acceleration data, gyroscope data, altitude data, gravity data. The preset motion change characteristics and the preset air pressure change characteristics corresponding to the preset postures of beating, charging, toppling, falling and the like are collected in advance.
The intelligent wearable device acquires the air pressure change data through the movement change data acquired by the built-in movement sensor and the air pressure sensor. The intelligent wearable device or the server calculates the peak convexity of the motion change according to the motion change data, and first extraction features are obtained through the peak convexity. In addition, the intelligent wearable device or the server calculates an air pressure mean value, an air pressure variance, an air pressure mean square value and a fitting slope according to the air pressure change data, and a second extraction feature is obtained through the air pressure mean value, the air pressure variance, the air pressure mean square value and the fitting slope. The intelligent wearable device or the server extracts the characteristics and preset the motion change characteristics and the air pressure change characteristics according to the first extraction characteristics and the second extraction characteristics, verifies and compares whether the characteristics correspond to any one or more preset gestures of being beaten, being charged, being overturned and being fallen down, and outputs the corresponding judgment result.
For example, campus rabdosia is a common social phenomenon, which is mostly found in the group of primary and middle school students. Campus scurry has various manifestations, such as physical violence, speech cheat, property damage, isolation and the like, wherein the physical violence is the most serious and the speech cheat is the most frequent. The current campus overlord alarm system is basically passive. When the scumming occurs, the user needs to manually operate to send the alarm short message. This is difficult for a blond victim, and may therefore incur more severe fraud, while bystanders fear being reimbursed by the party applying the fraud and dare to operate on the scene, which prevents the guardian from knowing the message in a timely manner. By analyzing and judging the detection information, if the voice information sent by the wearer includes fear and fear of voice, the body temperature of the wearer is lower than 36 ℃ due to emotional stress and fear, the heart rate is accelerated by more than 125 times/minute, and the situation that the arm action amplitude of the wearer is large and accords with the deceptive posture is monitored, the campus violence can be judged to be encountered.
Preferably, if be in by the deception state, control intelligent wearing equipment and gather environmental data under the news screen state, intelligent wearing equipment is after starting the camera promptly, can shoot under the black screen state when not showing the preview screen by automatic control camera. Because be in the information screen state, the difficult discovery intelligence wearing equipment of party is gathering environmental data is applyed in the deception, and intelligence wearing equipment can be under the silence state with environmental data send to presetting contact or server to in time notice and the record of collecting evidence to the deception incident have been guaranteed.
Preferably, the guardian or other related personnel to which the environmental data is sent is set by the wearer or the guardian, and the preset contact person may be one or more.
Preferably, the incoming call information initiated by the preset contact person or the server is monitored, and when the incoming call information initiated by the preset contact person or the server is monitored, the mute is set and the incoming call is automatically connected, so that the wearer can connect the incoming call without any operation and under the condition that the wearer is not known by the party applying the cheating, the preset contact person or the server can collect and record the sound sent by the site, and the preset contact person or the server is ensured to further know the cheating event condition according to the site recorded sound in time and take corresponding measures.
The invention can detect whether the wearer is abused, deceased or in other situations which have negative effects on the wearer and inform the guardian, so that the protection is more timely and easier to obtain evidence. The invention can monitor whether the vulnerable people such as women, children, old people and the like are in a deceptive state in real time so as to attract the attention of the guardian in time, carry out maximum monitoring on the personal safety and the life and property safety of the wearer, help the wearer to break away from the dangerous situation so as to rescue and evidence collection in time, has wide application range and is convenient to popularize.
Based on the foregoing embodiment, further comprising:
the detection module is used for detecting whether the residual electric quantity is sufficient or not and detecting whether the wireless network is stable or not;
the control module is further configured to delete the audio clip without the preset voice feature to obtain final environment data if the remaining power is insufficient or the wireless network is unstable.
Specifically, this embodiment is an optimized embodiment of the above embodiment, and the same portions as those in the above embodiment are referred to the above embodiment, and are not described in detail here. Whether intelligent wearing equipment detects self residual capacity is sufficient to it is stable to detect self wireless network. If the residual electric quantity is insufficient or the wireless network is unstable, the intelligent wearable device deletes the audio clip without the preset voice feature, and only the audio clip with the preset voice feature is left to obtain final environment data.
The invention can detect whether the wearer is abused, deceased or in other situations which have negative effects on the wearer and inform the guardian, so that the protection is more timely and easier to obtain evidence. In addition, the environment data including the preset voice characteristics is obtained by intercepting the environment data, so that the electric quantity resource of the intelligent wearable device can be saved, the reduced environment data can be reliably and effectively sent to the preset contact person or the server under the condition of unstable network, whether vulnerable people such as women, children and the old are in a deception state or not can be monitored in real time, the attention of a guardian can be timely aroused, the personal safety and the life and property safety of a wearer can be monitored to the maximum extent, the wearer can be helped to break away from the dangerous situation, and the rescue and the evidence collection can be timely carried out.
Based on the foregoing embodiment, further comprising: the positioning module is used for positioning and acquiring the position information of the wearer;
the communication module is also used for sending the position information to a preset contact person or a server;
the control module is further used for controlling the intelligent wearable device to execute corresponding operation according to the acquired emergency scheme.
Specifically, the intelligent wearable device acquires position information of the intelligent wearable device through positioning of the GPS sensor and sends the position information to a preset contact person or a server. Of course, the condition for triggering the intelligent wearable device to send the location information in a positioning manner can be set by the wearer or the guardian. For example, if it is determined that the time counted after the device is in the spoofed state reaches a preset time, the smart wearable device is controlled to automatically position and send the location information. Of course, the intelligent wearable device can be controlled to automatically position and send the position information after the feedback information sent by the preset contact person or the server is received.
Can have the emergent scheme in advance in the intelligent wearing equipment, also can receive from presetting contact or server and acquire the emergent scheme. The emergency scheme includes but is not limited to sounding a siren with sound and light to alarm, dialing a distress call to a preset contact (including but not limited to a teacher, a parent or a friend, a dispatching station, etc.), or generating distress information according to the position information and sending the distress information or a short message to the preset contact to ask for help, etc. The emergency scheme is not limited to the above, and other schemes for the emergency protection wearer to interrupt the deceptive event are within the scope of the present invention.
Illustratively, when it is determined that a wearer suffers from campus blurriness, the intelligent wearable device is controlled to send a distress call to a mobile phone number of a preset contact person, if no person answers the call, the preset contact person continues to dial a prestored mobile phone number of the next preset contact person for cyclic dialing, after the call is answered, the intelligent wearable device is controlled to play a prerecorded siren sound record, the preset contact person answering the distress call receives environment data sent by the intelligent wearable device in real time, any one or more of audio data, image data, video data and time information of the wearer are inquired, and rescue is carried out on a distress place according to position information sent by the intelligent wearable device.
The intelligent wearable device or the server sends the environmental data and the position information to the preset contact person to facilitate the guardian to process in time, and controls the intelligent wearable device to execute the corresponding operation interrupt deception event according to the acquired emergency scheme, so as to give a warning to the deception application party, thereby not only effectively preventing the wearer from being scummed or deceived violence, but also effectively protecting the physical and psychological health of the wearer of the intelligent wearable device.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of program modules is illustrated, and in practical applications, the above-described distribution of functions may be performed by different program modules, that is, the internal structure of the apparatus may be divided into different program units or modules to perform all or part of the above-described functions. Each program 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 processing unit, and the integrated unit may be implemented in a form of hardware, or may be implemented in a form of software program unit. In addition, the specific names of the program modules are only used for distinguishing the program modules from one another, and are not used for limiting the protection scope of the application.
In one embodiment of the invention, the intelligent wearable device comprises a processor and a memory, wherein the memory is used for storing a computer program; the processor is configured to execute the computer program stored in the memory to implement the anti-spoofing implementation method in the corresponding method embodiment.
The intelligent wearable device can be a desktop computer, a notebook, a palm computer, a tablet computer, a mobile phone, a man-machine interaction screen and other devices. The smart wearable device may include, but is not limited to, a processor, a memory. Those skilled in the art will appreciate that the above are merely examples of the smart-wearable device, and do not constitute a limitation of the smart-wearable device, and may include more or less components than those shown, or combine some components, or different components, such as: the intelligent wearable device can further comprise an input/output interface, a display device, a network access device, a communication bus, a communication interface and the like. A communication interface and a communication bus, and may further comprise an input/output interface, wherein the processor, the memory, the input/output interface and the communication interface complete communication with each other through the communication bus. The memory stores a computer program, and the processor is configured to execute the computer program stored in the memory to implement the anti-spoofing implementation method in the corresponding method embodiment.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory may be an internal storage unit of the smart wearable device, such as: hard disk or memory of intelligence wearing equipment. The memory may also be an external storage device of the smart wearable device, such as: the intelligent wearable device is provided with a plug-in hard disk, an intelligent memory Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) and the like. Further, the memory may also include both an internal storage unit and an external storage device of the smart wearable device. The memory is used for storing the computer program and other programs and data required by the intelligent wearable device. The memory may also be used to temporarily store data that has been output or is to be output.
A communication bus is a circuit that connects the described elements and enables transmission between the elements. For example, the processor receives commands from other elements through the communication bus, decrypts the received commands, and performs calculations or data processing according to the decrypted commands. The memory may include program modules such as a kernel (kernel), middleware (middleware), an Application Programming Interface (API), and applications. The program modules may be comprised of software, firmware or hardware, or at least two of the same. The input/output interface forwards commands or data entered by a user via the input/output interface (e.g., sensor, keyboard, touch screen). The communication interface connects the intelligent wearable device with other network devices, user equipment and a network. For example, the communication interface may be connected to a network by wire or wirelessly to connect to external other network devices or user devices. The wireless communication may include at least one of: wireless fidelity (WiFi), Bluetooth (BT), Near Field Communication (NFC), Global Positioning Satellite (GPS) and cellular communications, among others. The wired communication may include at least one of: universal Serial Bus (USB), high-definition multimedia interface (HDMI), asynchronous transfer standard interface (RS-232), and the like. The network may be a telecommunications network and a communications network. The communication network may be a computer network, the internet of things, a telephone network. The intelligent wearable device can be connected with the network through the communication interface, and a protocol used for communication between the intelligent wearable device and other network devices can be supported by at least one of an application, an Application Programming Interface (API), middleware, a kernel and the communication interface.
In an embodiment of the present invention, a storage medium stores at least one instruction, and the instruction is loaded and executed by a processor to implement the operations performed by the corresponding embodiments of the anti-spoofing implementation method. For example, the storage medium may be a read-only memory (ROM), a Random Access Memory (RAM), a compact disc read-only memory (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, and the like.
They may be implemented in program code that is executable by a computing device such that it is executed by the computing device, or separately, or as individual integrated circuit modules, or as a plurality or steps of individual integrated circuit modules. Thus, the present invention is not limited to any specific combination of hardware and software.
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 recited in detail 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/smart wearable device and method may be implemented in other ways. For example, the above-described device/smart wearable device embodiments are merely illustrative, and for example, the division of the modules or units is only one logical function division, and there may be other division manners in actual implementation, 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 of 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 may be stored in a storage medium if they are implemented in the form of software functional units and sold or used as separate products. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by sending instructions to relevant hardware through a computer program, where the computer program may be stored in a storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program may be in source code form, object code form, an executable file or some intermediate form, etc. The storage medium may include: any entity or device capable of carrying the computer program, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signal, telecommunication signal, software distribution medium, etc. It should be noted that the content of the storage medium may be increased or decreased as appropriate according to the requirements of legislation and patent practice in the jurisdiction, for example: in certain jurisdictions, in accordance with legislation and patent practice, computer-readable storage media do not include electrical carrier signals and telecommunications signals.
It should be noted that the above embodiments can be freely combined as necessary. The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.

Claims (12)

1. An anti-spoofing implementation method, comprising the steps of:
judging whether the wearer is in a deceived state or not;
if the wearer is in the deceased state, acquiring environmental data around the wearer;
sending the environment data to a preset contact person or a server;
wherein the environment data comprises one or more of audio data, image data and video data of the surrounding environment.
2. The anti-spoofing implementation of claim 1 wherein said determining whether the wearer is in a spoofed state comprises the steps of:
judging whether preset voice characteristics are met or not according to the acquired voice information, and obtaining a corresponding judgment result; or the like, or, alternatively,
judging whether the physiological state data of the wearer exceeds a corresponding set physiological threshold value or not according to the physiological state data of the wearer, and obtaining a corresponding judgment result; or the like, or, alternatively,
judging whether the preset cheating distance range is met or not according to the acquired distance data, and obtaining a corresponding judgment result; or the like, or, alternatively,
judging whether the preset body posture is met or not according to the motion state data of the wearer, and obtaining a corresponding judgment result;
if the judgment result meets at least one of the following set conditions, determining that the wearer is in a deceived state;
the preset voice features comprise one or more of preset sensitive words, preset emotion features and preset sound features; the set conditions comprise that the voice information meets a preset voice characteristic, the physiological state data exceeds a corresponding set physiological threshold, the distance data accords with a preset cheating distance range, and the motion state data accords with a preset body posture.
3. The anti-spoofing implementation of claim 2 wherein said exercise state data includes exercise change data and gas pressure change data; the step of judging whether the preset body posture is met or not according to the motion state data of the wearer comprises the following steps:
analyzing the motion state of the wearer according to the motion change data;
and judging whether the preset body posture is met or not according to the action posture and the air pressure change data.
4. The anti-spoofing implementation method as claimed in claim 1, wherein after said acquiring the environment data around the wearer, said sending the environment data to a predetermined contact or server comprises the steps of:
detecting whether the residual electric quantity is sufficient or not and detecting whether a wireless network is stable or not;
and if the residual electric quantity is insufficient or the wireless network is unstable, deleting the audio clip without the preset voice characteristics to obtain final environment data.
5. An anti-spoofing implementation as in any of claims 1-4 wherein said method further comprises the steps of, after being spoofed:
positioning to obtain the position information of a wearer, and sending the position information to a preset contact person or a server;
and controlling the intelligent wearable equipment to execute corresponding operation according to the acquired emergency scheme.
6. An anti-spoofing implementation system, comprising:
the processing module is used for judging whether the wearer is in a deceived state or not;
the control module is used for collecting the environmental data around the wearer if the wearer is in the deception state;
the communication module is used for sending the environment data to a preset contact person or a server;
wherein the environment data comprises one or more of audio data, image data and video data of the surrounding environment.
7. The anti-spoofing implementation system of claim 6, wherein said processing module comprises:
the first judgment unit is used for judging whether preset voice characteristic environment data are met or not according to the acquired voice information and obtaining a corresponding judgment result;
the second judgment unit is used for judging whether the physiological state data of the wearer exceeds a corresponding set physiological threshold value or not according to the physiological state data of the wearer, obtaining a corresponding judgment result and obtaining a corresponding judgment result;
the third judging unit is used for judging whether the preset cheating distance range is met or not according to the acquired distance data and obtaining a corresponding judgment result;
the fourth judging unit is used for judging whether the preset body posture is met or not according to the motion state data of the wearer and obtaining a corresponding judgment result;
the processing unit is used for determining that the wearer is in the deceived state if the judgment result meets at least one of the following setting conditions;
the preset voice features comprise one or more of preset sensitive words, preset emotion features and preset sound features; the set conditions comprise that the voice information meets a preset voice characteristic, the physiological state data exceeds a corresponding set physiological threshold, the distance data accords with a preset cheating distance range, and the motion state data accords with a preset body posture.
8. The anti-spoofing implementation system of claim 7, wherein said exercise state data includes exercise change data and gas pressure change data; the fourth judgment unit includes:
the analysis subunit is used for analyzing and obtaining the action state of the wearer according to the motion change data;
and the judging subunit is used for judging whether the preset body posture is met or not according to the action posture and the air pressure change data.
9. The anti-spoofing implementation system of claim 6, further comprising:
the detection module is used for detecting whether the residual electric quantity is sufficient or not and detecting whether the wireless network is stable or not;
the control module is further configured to delete the audio clip without the preset voice feature to obtain final environment data if the remaining power is insufficient or the wireless network is unstable.
10. An anti-spoofing implementation system as in any one of claims 6-9 further comprising:
the positioning module is used for positioning and acquiring the position information of the wearer;
the communication module is also used for sending the position information to a preset contact person or a server;
the control module is further used for controlling the intelligent wearable device to execute corresponding operation according to the acquired emergency scheme.
11. An intelligent wearable device, comprising a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the processor is configured to execute the computer program stored in the memory to perform the operations of the anti-spoofing implementation method of any one of claims 1-5.
12. A storage medium having stored therein at least one instruction that is loaded and executed by a processor to perform operations performed by the anti-spoofing implementation method of any one of claims 1 through 5.
CN202110482798.8A 2021-04-30 2021-04-30 Anti-cheating implementation method and system, intelligent wearable device and storage medium Pending CN113205661A (en)

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Application publication date: 20210803