CN113313909A - Data processing method and device of intelligent glasses and intelligent glasses - Google Patents
Data processing method and device of intelligent glasses and intelligent glasses Download PDFInfo
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- CN113313909A CN113313909A CN202110867983.9A CN202110867983A CN113313909A CN 113313909 A CN113313909 A CN 113313909A CN 202110867983 A CN202110867983 A CN 202110867983A CN 113313909 A CN113313909 A CN 113313909A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0438—Sensor means for detecting
- G08B21/0446—Sensor means for detecting worn on the body to detect changes of posture, e.g. a fall, inclination, acceleration, gait
Abstract
The application provides a data processing method and device for intelligent glasses and the intelligent glasses, wherein the method comprises the following steps: the method comprises the steps of obtaining motion data of the intelligent glasses in a preset time length, determining whether the motion track of the intelligent glasses in the preset time length has periodicity or not according to the motion data, and obtaining a preset alarm condition if the motion track of the intelligent glasses in the preset time length has periodicity, wherein the preset alarm condition comprises the following steps: the target track information corresponding to the intelligent glasses acquires actual track information of N periods from the motion data, respectively acquires the similarity between the actual track information of each period and the target track information, determines whether to trigger an alarm or not according to the similarity corresponding to each of the N periods, and sends alarm information to target equipment if the alarm is determined to be triggered. The application provides a mode of reporting to the police and asking for help through intelligent glasses for the user can be timely, convenient report to the police.
Description
Technical Field
The application relates to the technical field of data processing, in particular to a data processing method and device for intelligent glasses and the intelligent glasses.
Background
When a user is in danger or is trapped in a certain place, the user needs to request rescue from the outside in time.
Generally, a user sends alarm information mainly by making a call with a mobile phone. For example, an alarm call is dialed to request a police rescue, or a friend-friend call is dialed to request a friend-friend rescue.
However, in some scenarios, the user may not be able to make a call, for example, the user does not carry the mobile phone with him or the mobile phone is put in a backpack, and the user is trapped in a small space, which results in the mobile phone not being taken out, so that the user cannot be rescued in time.
Disclosure of Invention
The application provides a data processing method and device of intelligent glasses and the intelligent glasses, so that a user can alarm conveniently in time.
In a first aspect, the present application provides a data processing method for smart glasses, including:
acquiring motion data of the intelligent glasses within a preset time length;
determining whether the motion track of the intelligent glasses in the preset time length is periodic or not according to the motion data;
if the periodicity exists, acquiring a preset alarm condition, wherein the preset alarm condition comprises the following steps: target track information corresponding to the intelligent glasses;
acquiring actual track information of N periods from the motion data, and respectively acquiring the similarity between the actual track information of each period and the target track information, wherein N is an integer greater than 1;
determining whether to trigger an alarm or not according to the similarity corresponding to the N periods;
and if the alarm is determined to be triggered, sending alarm information to the target equipment.
In a possible implementation manner, the preset alarm condition further includes: a track quantity threshold corresponding to the smart glasses; determining whether to trigger an alarm according to the similarity corresponding to each of the N periods, including:
determining K target periods from the N periods according to the similarity corresponding to the N periods, wherein the similarity corresponding to the target periods is greater than or equal to a preset threshold value;
if the K is larger than or equal to the track number threshold, determining to trigger an alarm;
and if the K is smaller than the track number threshold, determining not to trigger an alarm.
In a possible implementation manner, before obtaining the preset alarm condition, the method further includes:
receiving configuration information sent by terminal equipment, wherein the configuration information comprises an identification of a target track and the number of the target track;
determining target track information corresponding to the intelligent glasses according to the identification of the target track;
determining the number of the target tracks as a track number threshold corresponding to the intelligent glasses;
determining the preset alarm condition comprises: target track information corresponding to the intelligent glasses and a track quantity threshold corresponding to the intelligent glasses.
In a possible implementation manner, after receiving the configuration information sent by the terminal device, the method further includes:
determining a target recognition algorithm from a plurality of recognition algorithms of a preset database according to the identification of the target track, wherein the target recognition algorithm is used for recognizing the target track, and different recognition algorithms are used for recognizing different motion tracks;
respectively acquiring the similarity between the actual track information and the target track information of each period, wherein the similarity includes:
and respectively acquiring the similarity between the actual track information and the target track information of each period through the target identification algorithm.
In one possible implementation, sending alarm information to a target device includes:
controlling an acquisition device in the intelligent glasses to acquire one or more of audio information, image information and position information corresponding to the environment where the intelligent glasses are located;
generating the alarm information, wherein the alarm information comprises one or more of the audio information, the image information and the position information;
and sending the alarm information to the target equipment.
In a possible implementation manner, acquiring motion data of the smart glasses within a preset time period includes:
acquiring sensor data acquired by at least one sensor in the intelligent glasses within a preset time length;
determining the sensor data as the motion data.
In a possible implementation manner, if the alarm condition is satisfied, the method further includes:
acquiring connection information of the target equipment;
and sending an audio connection request or a video connection request to the target equipment according to the connection information of the target equipment.
In a second aspect, the present application provides a data processing apparatus for smart glasses, comprising:
the acquisition module is used for acquiring the motion data of the intelligent glasses within a preset time length;
the first determining module is used for determining whether the motion track of the intelligent glasses within the preset time length is periodic or not according to the motion data;
a second determining module, configured to obtain a preset alarm condition if the periodicity exists, where the preset alarm condition includes: target track information corresponding to the intelligent glasses; acquiring actual track information of N periods from the motion data, and respectively acquiring the similarity between the actual track information of each period and the target track information, wherein N is an integer greater than 1; determining whether to trigger an alarm or not according to the similarity corresponding to the N periods;
and the sending module is used for sending alarm information to the target equipment if the alarm is determined to be triggered.
In a possible implementation manner, the preset alarm condition further includes: a track quantity threshold corresponding to the smart glasses; the second determining module is specifically configured to:
determining K target periods from the N periods according to the similarity corresponding to the N periods, wherein the similarity corresponding to the target periods is greater than or equal to a preset threshold value;
if the K is larger than or equal to the track number threshold, determining to trigger an alarm;
and if the K is smaller than the track number threshold, determining not to trigger an alarm.
In a possible implementation manner, the apparatus further includes:
the receiving module is used for receiving configuration information sent by terminal equipment, wherein the configuration information comprises an identification of a target track and the number of the target track;
the third determining module is used for determining target track information corresponding to the intelligent glasses according to the identification of the target track; determining the number of the target tracks as a track number threshold corresponding to the intelligent glasses; determining the preset alarm condition comprises: target track information corresponding to the intelligent glasses and a track quantity threshold corresponding to the intelligent glasses.
In a possible implementation manner, the third determining module is further configured to:
determining a target recognition algorithm from a plurality of recognition algorithms of a preset database according to the identification of the target track, wherein the target recognition algorithm is used for recognizing the target track, and different recognition algorithms are used for recognizing different motion tracks;
the second determining module is specifically configured to: and respectively acquiring the similarity between the actual track information and the target track information of each period through the target identification algorithm.
In a possible implementation manner, the sending module is specifically configured to:
controlling an acquisition device in the intelligent glasses to acquire one or more of audio information, image information and position information corresponding to the environment where the intelligent glasses are located;
generating the alarm information, wherein the alarm information comprises one or more of the audio information, the image information and the position information;
and sending the alarm information to the target equipment.
In a possible implementation manner, the obtaining module is specifically configured to:
acquiring sensor data acquired by at least one sensor in the intelligent glasses within a preset time length;
determining the sensor data as the motion data.
In a possible implementation manner, the sending module is further configured to:
acquiring connection information of the target equipment;
and sending an audio connection request or a video connection request to the target equipment according to the connection information of the target equipment.
In a third aspect, the present application provides smart eyewear comprising: a memory for storing a computer program and a processor for executing the computer program to implement the method according to any of the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium comprising: a computer program implementing the method according to any one of the first aspect when executed by a processor.
In a fifth aspect, the present application provides a computer program product comprising: a computer program implementing the method according to any one of the first aspect when executed by a processor.
The application provides a data processing method and device for intelligent glasses and the intelligent glasses, wherein the method comprises the following steps: the method comprises the steps of obtaining motion data of the intelligent glasses in a preset time length, determining whether the motion track of the intelligent glasses in the preset time length has periodicity or not according to the motion data, and obtaining a preset alarm condition if the motion track of the intelligent glasses in the preset time length has periodicity, wherein the preset alarm condition comprises the following steps: target track information corresponding to the intelligent glasses; acquiring actual track information of N periods from motion data, respectively acquiring the similarity between the actual track information of each period and the target track information, determining whether to trigger an alarm or not according to the similarity corresponding to the N periods, and if so, sending alarm information to target equipment. It is thus clear that this embodiment provides a mode of reporting to police and asking for help through intelligent glasses, because intelligent glasses are the article that the user was worn with oneself, the user can conveniently realize reporting to the police through operation intelligent glasses along predetermineeing the orbit motion. Moreover, even if the user is trapped in a narrow space, the user can operate the intelligent glasses to move along a preset track by rotating the head and the like so as to trigger an alarm, so that the user can be rescued in time under the condition that the user cannot dial the mobile phone, and the life and property of the user are prevented from being damaged.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a schematic diagram of an application scenario provided in an embodiment of the present application;
fig. 2 is a schematic flowchart of a data processing method according to an embodiment of the present application;
fig. 3 is a schematic flow chart of another data processing method according to an embodiment of the present application;
FIG. 4 is a schematic diagram of an alarm configuration interface provided by an embodiment of the present application;
fig. 5 is a schematic flowchart of another data processing method according to an embodiment of the present application;
fig. 6 is a schematic diagram of a data processing process according to an embodiment of the present application;
FIG. 7 is a schematic diagram of another data processing process provided in an embodiment of the present application;
fig. 8 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present application;
fig. 9 is a schematic structural diagram of smart glasses provided in an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims of the present application and in the above-described drawings (if any) are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
As described above, when a user is in danger or is trapped in a certain scene, alarm information is mainly sent by making a call. For example, an alarm call is dialed to request a police rescue, or a friend-friend call is dialed to request a friend-friend rescue.
However, in some scenarios, the user may not be able to place a call. For example, a user cannot make a call without carrying a mobile phone with him. For another example, the mobile phone is placed in a backpack, and the user is trapped in a narrow space and cannot take out the mobile phone, so that the user cannot make a call. For another example, the user carries a mobile phone with him, but the user is trapped in a narrow space, and both hands cannot operate the mobile phone, so that the user cannot make a call. In the above scenario, since the user cannot make a call, the user cannot be rescued in time, and in a serious case, the life, property and the like of the user are damaged.
In order to solve the technical problem, embodiments of the present application provide a data processing method and apparatus based on smart glasses, and smart glasses, where a user may send alarm information through the smart glasses. Described below in conjunction with fig. 1.
Fig. 1 is a schematic diagram of an application scenario provided in an embodiment of the present application. As shown in fig. 1, the application scenario may include: intelligent glasses and target device. When a user wearing the intelligent glasses encounters danger or is trapped in a certain scene, alarm information can be sent through the intelligent glasses. The target device is a device for receiving alarm information. The target device may be a terminal device or a server. In some examples, the target device may be a terminal device of an emergency contact of the user. In other examples, the target device may be a server of an alarm system.
The communication mode between the smart glasses and the target device may be various, and this embodiment does not limit this. For example, the smart glasses and the target device are connected through wireless communication technologies such as Wi-Fi and Bluetooth. For another example, the smart glasses and the target device may be connected through a 2nd Generation Mobile Communication Technology (2G), 3G, 4G, 5G, or other Mobile Communication technologies.
Optionally, as shown in fig. 1, the application scenario may further include: and configuring the equipment. The configuration device may be a terminal device of a user wearing smart glasses. The intelligent glasses are in communication connection with the configuration equipment, and a user can send configuration information to the intelligent glasses through the configuration equipment. Illustratively, the configuration information may indicate by which way an alarm is triggered.
In an exemplary application scenario, the configuration device sends configuration information to the smart glasses, where the configuration information indicates that an alarm is triggered in the following manner: the smart glasses are operated to move along a preset trajectory (e.g., a circular trajectory, an S-shaped trajectory, a rectangular trajectory, etc.). When the user is in danger or is trapped in a certain place, the intelligent glasses can be operated to move along a preset track. Therefore, the intelligent glasses detect the motion state of the intelligent glasses, determine that the alarm condition is met when the intelligent glasses detect that the intelligent glasses move along the preset track, and send alarm information to the target equipment.
Therefore, the embodiment of the application provides a mode of alarming and asking for help through the intelligent glasses, and the intelligent glasses are articles worn by a user, so that the user can conveniently realize alarming by operating the intelligent glasses to move along a preset track. Moreover, even if the user is trapped in a narrow space, the user can operate the intelligent glasses to move along a preset track by rotating the head and the like so as to trigger an alarm, so that the user can be rescued in time under the condition that the user cannot dial the mobile phone, and the life and property of the user are prevented from being damaged.
The technical solution of the present application will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
Fig. 2 is a schematic flowchart of a data processing method according to an embodiment of the present application. The method of the present embodiment may be performed by smart glasses. As shown in fig. 2, the method of the present embodiment includes:
s201: and acquiring the motion data of the intelligent glasses within a preset time.
The motion data refers to relevant data describing the motion state of the intelligent glasses. The preset duration refers to a time period before the current time. For example, the movement data of the smart glasses within the first 1 minute of the current time may be acquired, or the movement data of the smart glasses within the first 30 seconds of the current time may be acquired.
In this embodiment, the smart glasses may be provided with at least one sensor, including but not limited to: acceleration sensors, gyroscope sensors, displacement sensors, and the like. The acceleration sensor is used for measuring acceleration data of the intelligent glasses. The gyroscope sensor is used for measuring the angular speed data of the intelligent glasses. The displacement sensor is used for measuring the movement amount data of the intelligent glasses.
The intelligent glasses collect sensing data in real time through the at least one sensor. In this embodiment, sensing data acquired by the at least one sensor within a preset time period may be acquired, and the sensing data may be determined as the motion data.
For example, assume that the designated alarm mode is: and operating the intelligent glasses to move along a circular track. Under the condition that the user does not trigger the alarm, the motion data acquired in S201 is the motion data corresponding to the normal activities (for example, turning the head, raising the head, lowering the head, etc.) performed by the user wearing the smart glasses. Under the condition that the user triggers the alarm, the motion data acquired in the step S201 is the motion data corresponding to the user operating the intelligent glasses to move along the circular track.
S202: and determining whether the motion track of the intelligent glasses in the preset time length is periodic or not according to the motion data.
In this embodiment, whether the movement locus of the smart glasses within the preset time period is periodic or not can be determined by analyzing the movement data. Illustratively, the motion data can be drawn as waveform data, and whether the motion trail of the intelligent glasses is periodic or not can be obtained through visual analysis of the waveform data.
It should be understood that "the motion track has periodicity" in this embodiment means that the smart glasses move along the same track repeatedly for a preset time period. For example, the smart glasses repeat the movement along the circular trajectory a plurality of times, or the smart glasses repeat the movement along the S-shaped trajectory a plurality of times. The time interval between two adjacent track movements may be the same or different.
S203: if the periodicity exists, acquiring a preset alarm condition, wherein the preset alarm condition comprises the following steps: and acquiring actual track information of N periods from the motion data according to target track information corresponding to the intelligent glasses, respectively acquiring the similarity between the actual track information of each period and the target track information, and determining whether to trigger an alarm or not according to the similarity corresponding to the N periods, wherein N is an integer greater than 1.
It should be noted that the preset alarm condition in this embodiment may be a user-defined alarm condition, or may also be a default built-in alarm condition of the smart glasses, which is not limited in this embodiment. The preset alarm condition comprises target track information corresponding to the intelligent glasses, and the target track information can be any one of the following items: circular track information, S-shaped track information, rectangular track information, 8-shaped track information, and the like.
As can be appreciated, in the event that the user encounters a danger and needs to ask for help, the user will typically repeat multiple attempts to trigger the alarm (e.g., the user continues to operate the smart glasses along a circular trajectory multiple times) to ensure that the alarm is successful. Therefore, the motion trajectory of the smart glasses in this case has periodicity. While the motion track of the smart glasses is not usually periodic during the daily activities (e.g., head twisting, head raising, head lowering, etc.) in which the user wears the smart glasses.
Therefore, in the case that the motion track of the smart glasses is determined to have periodicity, whether the preset alarm condition corresponding to the smart glasses is met is further determined. And under the condition that the motion trail of the intelligent glasses is determined not to have periodicity, the preset alarm condition corresponding to the intelligent glasses is definitely not met, and the step S201 can be executed. Therefore, the accuracy of alarm triggering can be improved, and the probability of alarm false triggering is reduced.
In this embodiment, when it is determined that the movement trajectory of the smart glasses has periodicity, the actual trajectory information of N periods may be acquired from the movement data. Optionally, the motion data may be segmented by taking the period as a unit according to the periodic characteristics of the motion data, so as to obtain actual trajectory information of N periods.
Furthermore, the similarity between the actual track information and the target track information of each period is respectively obtained, and whether to trigger alarm is determined according to the respective corresponding similarity of the N periods. For example, assume that the designated alarm mode is: and operating the intelligent glasses to move along the circular track, calculating the similarity between the actual track information of the N periods and the circular track information, and determining whether to trigger alarm according to the similarity. For example, if the similarity between the actual track information of the N periods and the circular track information is high, it is determined that an alarm is triggered; or if the number of actual track information with higher similarity to the circular track information in the actual track information of the N periods is greater than the preset number, determining to trigger an alarm.
S204: and if the alarm is determined to be triggered, sending alarm information to the target equipment.
In one example, the target device may be a terminal device corresponding to an emergency contact of the user. Under the condition that the alarm is determined to be triggered, the intelligent glasses send alarm information to terminal equipment corresponding to the emergency contact of the user, so that the emergency contact can rescue in time.
In another example, the target device may be a server corresponding to the alarm system. Under the condition that the alarm is determined to be triggered, the intelligent glasses send alarm information to a server corresponding to the alarm system, so that the alarm system can arrange related personnel for rescue in time.
In this embodiment, the alarm information sent by the smart glasses may include one or more of the following: the position information of the intelligent glasses, the audio information corresponding to the environment where the intelligent glasses are located, and the image information corresponding to the environment where the intelligent glasses are located. In the following, examples are given with reference to several possible implementations.
In one possible implementation, a Positioning device, such as a Global Positioning System (GPS) Positioning chip, may be disposed in the smart glasses. Under the condition that the alarm is triggered, the positioning device can be controlled to collect the position information of the intelligent glasses, alarm information is generated, the alarm information comprises the position information, and the alarm information is sent to target equipment. Through carrying the positional information of intelligent glasses in alarm information for the rescue personnel can in time fix a position user's position, guarantee the promptness of rescue.
In another possible implementation manner, an audio capture device (e.g., a microphone, etc.) and/or an image capture device (e.g., a camera, etc.) may also be disposed in the smart glasses. Under the condition that the alarm is determined to be triggered, the audio acquisition device can be controlled to acquire audio information corresponding to the environment where the intelligent glasses are located, and/or the image acquisition device is controlled to acquire image information corresponding to the environment where the intelligent glasses are located. In this way, the alarm information generated by the smart glasses may further include the audio information and/or the image information. By carrying the audio information and/or the image information in the alarm information, the rescue workers can timely acquire the relevant information of the environment where the user is located, so that the required rescue mode can be accurately determined, and the rescue efficiency is improved.
In this embodiment, when the audio acquisition device and/or the image acquisition device are/is disposed in the smart glasses, and when it is determined that the alarm is triggered, the smart glasses may further obtain connection information of the target device, and send an audio connection request or a video connection request to the target device according to the connection information of the target device. Like this, can establish audio frequency connection or video connection between intelligent glasses and the target device for the user can carry out the pronunciation through the audio frequency connection and communicate with the first-aid staff of target device side, perhaps, carries out the video through the video connection and communicates with the first-aid staff of target device side, so that the first-aid staff can be more accurate learn the relevant information of user's environment, thereby accurately determine required mode of suing and labouring, improve efficiency of suing and labouring.
The data processing method for the intelligent glasses provided by the embodiment comprises the following steps: the method comprises the steps of obtaining motion data of the intelligent glasses in a preset time length, determining whether the motion track of the intelligent glasses in the preset time length has periodicity or not according to the motion data, and obtaining a preset alarm condition if the motion track of the intelligent glasses in the preset time length has periodicity, wherein the preset alarm condition comprises the following steps: acquiring actual track information of N periods from motion data by using target track information corresponding to the intelligent glasses, and respectively acquiring the similarity between the actual track information of each period and the target track information; and determining whether to trigger an alarm or not according to the similarity corresponding to the N periods, and if the alarm is determined to be triggered, sending alarm information to target equipment. It is thus clear that this embodiment provides a mode of reporting to police and asking for help through intelligent glasses, because intelligent glasses are the article that the user was worn with oneself, the user can conveniently realize reporting to the police through operation intelligent glasses along predetermineeing the orbit motion. Moreover, even if the user is trapped in a narrow space, the user can operate the intelligent glasses to move along a preset track by rotating the head and the like so as to trigger an alarm, so that the user can be rescued in time under the condition that the user cannot dial the mobile phone, and the life and property of the user are prevented from being damaged.
On the basis of the above embodiments, the technical solution of the present application is described in more detail below with reference to a more specific embodiment.
Fig. 3 is a schematic flow chart of another data processing method according to an embodiment of the present application. The method of the embodiment comprises the following steps:
s301: and receiving configuration information sent by the terminal equipment, wherein the configuration information comprises the identification of the target tracks and the number of the target tracks.
The terminal device may be a terminal device of a user wearing the smart glasses, that is, the configuration device in fig. 1. The user can configure an alarm triggering mode for the intelligent glasses through the terminal equipment. This is illustrated below with reference to fig. 4.
Fig. 4 is a schematic diagram of an alarm configuration interface according to an embodiment of the present application. As shown in fig. 4, a plurality of alarm triggering modes are provided in the configuration interface, for example: motion along a circular trajectory, motion along an S-shaped trajectory, motion along a rectangular trajectory, motion along an 8-shaped trajectory, and the like. The user may select one of these as an alert trigger.
For example, referring to fig. 4, assuming that the user selects "move along a circular trajectory", the user may trigger an alarm by operating the smart glasses to move along a circular trajectory when encountering a danger.
Further, with continued reference to FIG. 4, the user may also set the number of repetitions of the circular trajectory in the configuration interface. For example, assuming that the user sets the repetition number to be 5, when the user encounters a danger, the user may repeat 5 times to operate the smart glasses to move along a circular track to trigger an alarm.
With continued reference to fig. 4, after the user clicks the determination button, the terminal device sends configuration information to the smart glasses, where the configuration information includes an identifier of the target track and the number of the target tracks. The mark of the target track is the mark of the circular track, and the number of the target tracks is 5 times. Therefore, after the intelligent glasses receive the configuration information, the preset alarm condition corresponding to the intelligent glasses can be determined according to the configuration information.
S302: and determining target track information corresponding to the intelligent glasses according to the identification of the target track.
S303: and determining the number of the target tracks as a track number threshold corresponding to the intelligent glasses.
S304: determining the preset alarm condition comprises: target track information corresponding to the intelligent glasses and a track quantity threshold corresponding to the intelligent glasses.
In one example, assuming that the user selects a circular motion track in the configuration interface shown in fig. 4 and sets the number of the circular motion tracks to be 5, the smart glasses determine track information corresponding to the circular motion track as target track information and determine a threshold value of the number of tracks corresponding to the smart glasses to be 5. Thus, only if the smart glasses are detected to move along the circular track at least 5 times, the alarm is determined to be triggered.
In another example, assuming that the user selects S-shaped motion tracks in the configuration interface shown in fig. 4 and sets the number of S-shaped motion tracks to be 3, the smart glasses determine the track information corresponding to the S-shaped motion tracks as the target track information and determine the threshold value of the number of tracks corresponding to the smart glasses to be 3. Thus, only if the smart glasses are detected to move along the S-shaped track at least 3 times, the alarm is determined to be triggered.
In the embodiment, the user can configure the alarm triggering condition to the intelligent glasses through the terminal device, so that the user can configure the alarm triggering condition according to the use habit or the use scene of the user, and the requirements of different users are met.
It should be understood that the alarm configuration process of the smart glasses described in S301 to S304 above. After the intelligent glasses are configured, the user executes an alarm triggering judgment process in the process of wearing the intelligent glasses to perform daily activities. This is explained below with reference to fig. 5.
Fig. 5 is a schematic flowchart of another data processing method according to an embodiment of the present application. As shown in fig. 5, the method of the present embodiment includes:
s501: and acquiring the motion data of the intelligent glasses within a preset time.
S502: and determining whether the motion track of the intelligent glasses within the preset time length has periodicity or not according to the motion data.
It should be noted that the specific implementation manners of S501 and S502 are similar to those of the embodiment shown in fig. 2, and are not described herein again.
If so, then S503 to S508 are performed.
If the periodicity does not exist, the process returns to S501.
S503: acquiring preset alarm conditions, wherein the preset alarm conditions comprise: target track information corresponding to the intelligent glasses and a track quantity threshold corresponding to the intelligent glasses.
S504: acquiring actual track information of N periods from the motion data, and respectively acquiring the similarity between the actual track information of each period and the target track information, wherein N is an integer greater than 1.
In a possible implementation manner, the smart glasses of this embodiment may be provided with a plurality of recognition algorithms. For example, a circular trajectory recognition algorithm, a sigmoid trajectory recognition algorithm, a rectangular trajectory recognition algorithm, an 8-shaped trajectory recognition algorithm, or the like may be provided. Each recognition algorithm is used to recognize a different motion profile. Each recognition algorithm may be trained from a plurality of sample trajectories. For example, a circular trajectory recognition algorithm is trained from a plurality of circular sample trajectories.
Therefore, after the intelligent glasses receive the configuration information sent by the terminal device, a target recognition algorithm can be determined from multiple recognition algorithms of a preset database according to the identification of the target track, and the target recognition algorithm is used for recognizing the target track. And respectively acquiring the similarity between the actual track information and the target track information of each period through a target identification algorithm.
In the implementation mode, corresponding recognition algorithms are respectively arranged for each motion track, so that the accuracy of track recognition results is ensured, and the accuracy of alarm triggering is further improved.
S505: and determining K target periods from the N periods according to the respective similarity of the N periods, wherein the similarity corresponding to the target periods is greater than or equal to a preset threshold value.
S506: and if K is smaller than the track number threshold, determining not to trigger the alarm.
In this case, the process returns to S501 without sending alarm information to the target device.
S507: and if K is greater than or equal to the track number threshold, determining to trigger an alarm.
S508: and sending alarm information to the target equipment.
For example, assume that the number of tracks corresponding to the smart device is 5. If the actual track information of 8 (N = 8) periods is acquired from the motion data, the similarity between the actual track information and the target track information of each period is respectively determined through a target identification algorithm. If the number of the periods with the similarity being larger than or equal to the preset threshold is smaller than 5, the alarm is not triggered, and the alarm information is not sent. And if the period number of the similarity greater than or equal to the preset threshold is greater than or equal to 5, triggering an alarm and sending alarm information to the target equipment.
On the basis of any of the above embodiments, the following illustrates a data processing procedure of the smart glasses provided by the present application.
Fig. 6 is a schematic diagram of a data processing process according to an embodiment of the present application. Fig. 6 illustrates a configuration flow of the alarm mode. As shown in fig. 6, the user may configure the alarm triggering manner of the smart glasses in the visual interface of the terminal device. For example, assume that the user selects "move along a circular trajectory", and sets the number of repetitions to 5. And the terminal equipment sends configuration information to the intelligent glasses.
With continued reference to fig. 6, a variety of recognition algorithms are provided in the smart glasses. After the intelligent glasses receive the configuration information, according to the configuration information, the target identification algorithm is determined to be a circular track identification algorithm, the target track information in the preset alarm condition is determined to be circular track information, and the track quantity threshold value in the preset alarm condition is 5. And ending the alarm configuration process of the intelligent glasses.
The user wears intelligent glasses to carry out daily activities. When a user is in danger or is trapped in a certain place, the intelligent glasses can be operated to move for at least 5 times along the circular track to trigger an alarm. For example, the user may remove the glasses and use the hands to control the smart glasses to move along a circular trajectory. For another example, in a scene where the user is trapped in a small space, the user may also control the smart glasses to move along a circular trajectory by rotating the head. The present embodiment does not limit the operation manner of the user.
At least one sensor is arranged in the intelligent glasses. The sensing data collected by the sensors can describe the motion state of the intelligent glasses, and the sensing data is referred to as motion data in the embodiment of the application. The intelligent glasses can analyze the motion data collected within a preset time length to determine whether to trigger an alarm.
Fig. 7 is a schematic diagram of another data processing process provided in the embodiment of the present application. Fig. 7 illustrates an alarm trigger determination flow. As shown in fig. 7, after the smart glasses acquire the motion data within the preset duration, whether the motion trajectory of the smart glasses within the preset duration is periodic is determined according to the motion data. And if the motion data has periodicity, acquiring actual track information of N periods from the motion data. And inputting the actual track information of each period into a recognition algorithm of the circular track to obtain a recognition result. And determining whether to trigger an alarm according to the identification result. For example, if the actual trajectory of at least 5 of the N periods is a circular trajectory, it is determined that an alarm is triggered. Under the condition that the alarm is determined to be triggered, the intelligent glasses can generate alarm information and send the alarm information to the target device.
In this embodiment, can report to the police and ask for help through intelligent glasses, because intelligent glasses are the article that the user was worn with oneself, the user can conveniently realize reporting to the police through operation intelligent glasses along predetermineeing the orbit motion. Moreover, even if the user is trapped in a narrow space, the user can operate the intelligent glasses to move along a preset track by rotating the head and the like so as to trigger an alarm, so that the user can be rescued in time under the condition that the user cannot dial the mobile phone, and the life and property of the user are prevented from being damaged. In addition, in the embodiment, the user can configure the alarm triggering mode of the intelligent glasses according to the requirement of the user, so that the individual requirements of different users can be met.
Fig. 8 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present application. The data processing means may be in the form of software and/or hardware. The data processing device may be provided in smart glasses. As shown in fig. 8, the data processing apparatus 800 provided in this embodiment includes: an acquisition module 801, a first determination module 802, a second determination module 803, and a sending module 804.
The acquiring module 801 is configured to acquire motion data of the smart glasses within a preset time length;
a first determining module 802, configured to determine, according to the motion data, whether a motion trajectory of the smart glasses within the preset time duration is periodic;
a second determining module 803, configured to, if the periodicity exists, obtain a preset alarm condition, where the preset alarm condition includes: target track information corresponding to the intelligent glasses; acquiring actual track information of N periods from the motion data, respectively acquiring the similarity between the actual track information of each period and the target track information, and determining whether to trigger an alarm or not according to the similarity corresponding to the N periods, wherein N is an integer greater than 1;
a sending module 804, configured to send alarm information to the target device if it is determined that the alarm is triggered.
In a possible implementation manner, the preset alarm condition further includes: a track quantity threshold corresponding to the smart glasses; the second determining module 803 is specifically configured to:
determining K target periods from the N periods according to the similarity corresponding to the N periods, wherein the similarity corresponding to the target periods is greater than or equal to a preset threshold value;
if the K is larger than or equal to the track number threshold, determining to trigger an alarm;
and if the K is smaller than the track number threshold, determining not to trigger an alarm.
In a possible implementation manner, the apparatus further includes: a receiving module (not shown in fig. 8) and a third determining module (not shown in fig. 8).
The receiving module is used for receiving configuration information sent by terminal equipment, wherein the configuration information comprises an identification of a target track and the number of the target track;
the third determining module is used for determining target track information corresponding to the intelligent glasses according to the identification of the target track; determining the number of the target tracks as a track number threshold corresponding to the intelligent glasses; determining the preset alarm condition comprises: target track information corresponding to the intelligent glasses and a track quantity threshold corresponding to the intelligent glasses.
In a possible implementation manner, the third determining module is further configured to:
determining a target recognition algorithm from a plurality of recognition algorithms of a preset database according to the identification of the target track, wherein the target recognition algorithm is used for recognizing the target track, and different recognition algorithms are used for recognizing different motion tracks;
the second determining module 803 is specifically configured to: and respectively acquiring the similarity between the actual track information and the target track information of each period through the target identification algorithm.
In a possible implementation manner, the sending module 804 is specifically configured to:
controlling an acquisition device in the intelligent glasses to acquire one or more of audio information, image information and position information corresponding to the environment where the intelligent glasses are located;
generating the alarm information, wherein the alarm information comprises one or more of the audio information, the image information and the position information;
and sending the alarm information to the target equipment.
In a possible implementation manner, the obtaining module 801 is specifically configured to: acquiring sensor data acquired by at least one sensor in the intelligent glasses within a preset time length; determining the sensor data as the motion data.
In a possible implementation manner, the sending module 804 is further configured to:
acquiring connection information of the target equipment;
and sending an audio connection request or a video connection request to the target equipment according to the connection information of the target equipment.
The data processing apparatus provided in this embodiment may be configured to execute the data processing method in any of the above method embodiments, and the implementation principle and the technical effect are similar, which are not described herein again.
Fig. 9 is a schematic structural diagram of smart glasses provided in an embodiment of the present application. As shown in fig. 9, the smart glasses 900 provided in this embodiment includes: a processor 901 and a memory 902.
A memory 902 for storing a computer program; a processor 901, configured to execute a computer program stored in a memory to implement one or more steps in the data processing method in the foregoing embodiments. Specifically, reference may be made to the related descriptions in the foregoing method embodiments, which have similar implementation principles and technical effects, and this embodiment is not described herein again.
Alternatively, the memory 902 may be separate or integrated with the processor 901.
When the memory 902 is a device independent from the processor 901, the smart glasses 900 may further include: a bus 903 for connecting the memory 902 and the processor 901.
In one possible implementation, the smart glasses 900 may be provided with at least one of the following acquisition devices: audio acquisition device, image acquisition device, positioner. The audio acquisition device is used for acquiring audio information corresponding to the environment where the intelligent glasses 900 are located, the image acquisition device is used for acquiring image information corresponding to the environment where the intelligent glasses 900 are located, and the positioning device is used for acquiring position information of the intelligent glasses 900.
In a possible implementation manner, at least one sensor, for example, an acceleration sensor, a gyroscope sensor, a displacement sensor, or the like, may be further disposed in the smart glasses 900.
An embodiment of the present application further provides a computer-readable storage medium, where the computer-readable storage medium includes a computer program, where the computer program is used to implement one or more steps in the data processing method in any of the above method embodiments, and the implementation principle and the technical effect are similar, and are not described herein again.
An embodiment of the present application further provides a chip, including: the data processing method includes a memory and a processor, where the memory stores a computer program, and the processor runs the computer program to execute one or more steps in the data processing method in any one of the above method embodiments, and the implementation principle and the technical effect are similar, and are not described herein again.
An embodiment of the present application further provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the computer program implements one or more steps in the data processing method in any of the above method embodiments, and the implementation principle and the technical effect are similar, and details are not described here.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the modules is only one logical division, and other divisions may be realized in practice, for example, a plurality of modules may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or modules, and may be in an electrical, mechanical or other form.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules 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 modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present application may be integrated into one processing unit, or each module may exist alone physically, or two or more modules are integrated into one unit. The unit formed by the modules can be realized in a hardware form, and can also be realized in a form of hardware and a software functional unit.
The integrated module implemented in the form of a software functional module may be stored in a computer-readable storage medium. The software functional module is stored in a storage medium and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute some steps of the methods according to the embodiments of the present application.
It should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in the incorporated application may be directly implemented by a hardware processor, or may be implemented by a combination of hardware and software modules in the processor.
The memory may comprise a high-speed RAM memory, and may further comprise a non-volatile storage NVM, such as at least one disk memory, and may also be a usb disk, a removable hard disk, a read-only memory, a magnetic or optical disk, etc.
The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the buses in the figures of the present application are not limited to only one bus or one type of bus.
The storage medium may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuits (ASIC). Of course, the processor and the storage medium may reside as discrete components in an electronic device or host device.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.
Claims (11)
1. A data processing method of intelligent glasses is characterized by comprising the following steps:
acquiring motion data of the intelligent glasses within a preset time length;
determining whether the motion track of the intelligent glasses in the preset time length is periodic or not according to the motion data;
if the periodicity exists, acquiring a preset alarm condition, wherein the preset alarm condition comprises the following steps: acquiring actual track information of N periods from the motion data by the target track information corresponding to the intelligent glasses, respectively acquiring the similarity between the actual track information of each period and the target track information, and determining whether to trigger an alarm or not according to the similarity corresponding to the N periods, wherein N is an integer greater than 1;
and if the alarm is determined to be triggered, sending alarm information to the target equipment.
2. The method of claim 1, wherein the preset alarm condition further comprises: a track quantity threshold corresponding to the smart glasses; determining whether to trigger an alarm according to the similarity corresponding to each of the N periods, including:
determining K target periods from the N periods according to the similarity corresponding to the N periods, wherein the similarity corresponding to the target periods is greater than or equal to a preset threshold value;
if the K is larger than or equal to the track number threshold, determining to trigger an alarm;
and if the K is smaller than the track number threshold, determining not to trigger an alarm.
3. The method of claim 2, wherein prior to obtaining the preset alarm condition, the method further comprises:
receiving configuration information sent by terminal equipment, wherein the configuration information comprises an identification of a target track and the number of the target track;
determining target track information corresponding to the intelligent glasses according to the identification of the target track;
determining the number of the target tracks as a track number threshold corresponding to the intelligent glasses;
determining the preset alarm condition comprises: target track information corresponding to the intelligent glasses and a track quantity threshold corresponding to the intelligent glasses.
4. The method of claim 3, wherein after receiving the configuration information sent by the terminal device, the method further comprises:
determining a target recognition algorithm from a plurality of recognition algorithms of a preset database according to the identification of the target track, wherein the target recognition algorithm is used for recognizing the target track, and different recognition algorithms are used for recognizing different motion tracks;
respectively acquiring the similarity between the actual track information and the target track information of each period, wherein the similarity includes:
and respectively acquiring the similarity between the actual track information and the target track information of each period through the target identification algorithm.
5. The method of any one of claims 1 to 4, wherein sending alert information to the target device comprises:
controlling an acquisition device in the intelligent glasses to acquire one or more of audio information, image information and position information corresponding to the environment where the intelligent glasses are located;
generating the alarm information, wherein the alarm information comprises one or more of the audio information, the image information and the position information;
and sending the alarm information to the target equipment.
6. The method according to any one of claims 1 to 4, wherein the obtaining of the motion data of the smart glasses within a preset time period comprises:
acquiring sensor data acquired by at least one sensor in the intelligent glasses within a preset time length;
determining the sensor data as the motion data.
7. The method of any of claims 1 to 4, wherein if it is determined that an alarm is triggered, the method further comprises:
acquiring connection information of the target equipment;
and sending an audio connection request or a video connection request to the target equipment according to the connection information of the target equipment.
8. A data processing device of intelligent glasses is characterized by comprising:
the acquisition module is used for acquiring the motion data of the intelligent glasses within a preset time length;
the first determining module is used for determining whether the motion track of the intelligent glasses within the preset time length is periodic or not according to the motion data;
a second determining module, configured to obtain a preset alarm condition if the periodicity exists, where the preset alarm condition includes: target track information corresponding to the intelligent glasses; acquiring actual track information of N periods from the motion data, respectively acquiring the similarity between the actual track information of each period and the target track information, and determining whether to trigger an alarm or not according to the similarity corresponding to the N periods, wherein N is an integer greater than 1;
and the sending module is used for sending alarm information to the target equipment if the alarm is determined to be triggered.
9. A smart eyewear, comprising: a memory for storing a computer program and a processor for executing the computer program to implement the method of any one of claims 1 to 7.
10. A computer-readable storage medium, comprising: computer program which, when executed by a processor, implements the method of any one of claims 1 to 7.
11. A computer program product, comprising: computer program which, when executed by a processor, implements the method of any one of claims 1 to 7.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022236994A1 (en) * | 2021-05-11 | 2022-11-17 | 惠州Tcl云创科技有限公司 | Data processing method, data processing apparatus, and smart glasses |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103491237A (en) * | 2012-09-06 | 2014-01-01 | 叶如康 | Mobile phone capable of automatically giving alarm |
| CN104036617A (en) * | 2014-06-11 | 2014-09-10 | 广东安居宝数码科技股份有限公司 | Method and system for alarming |
| CN105869345A (en) * | 2016-03-24 | 2016-08-17 | 北京小米移动软件有限公司 | Alarm method, device and equipment based on wearable equipment |
| CN108449725A (en) * | 2018-02-24 | 2018-08-24 | 北京路图智达信息技术有限公司 | Short message, wechat, integrated video alarm method based on bluetooth warner |
| KR101954315B1 (en) * | 2017-10-30 | 2019-03-06 | 주식회사 디자인모올 | Wearable devices in emergency medical technicians at the scene of the disaster |
| CN109743531A (en) * | 2018-05-21 | 2019-05-10 | 比亚迪股份有限公司 | The passenger's alarm system and method for automatic Pilot train, vehicle alarming device |
| CN111354159A (en) * | 2018-12-24 | 2020-06-30 | 北京嘀嘀无限科技发展有限公司 | Alarm method and alarm device |
| CN111488784A (en) * | 2019-10-30 | 2020-08-04 | 四川鼎鸿物联网科技有限公司 | 5G communication open type taxi or network taxi appointment intelligent driving comprehensive management service platform |
| CN112040064A (en) * | 2020-09-22 | 2020-12-04 | 深圳市锐尔觅移动通信有限公司 | Control method, electronic device, and computer-readable storage medium |
| CN113160520A (en) * | 2021-05-11 | 2021-07-23 | Tcl通讯（宁波）有限公司 | Data processing method and device, storage medium and intelligent glasses |
-
2021
- 2021-07-30 CN CN202110867983.9A patent/CN113313909A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103491237A (en) * | 2012-09-06 | 2014-01-01 | 叶如康 | Mobile phone capable of automatically giving alarm |
| CN104036617A (en) * | 2014-06-11 | 2014-09-10 | 广东安居宝数码科技股份有限公司 | Method and system for alarming |
| CN105869345A (en) * | 2016-03-24 | 2016-08-17 | 北京小米移动软件有限公司 | Alarm method, device and equipment based on wearable equipment |
| KR101954315B1 (en) * | 2017-10-30 | 2019-03-06 | 주식회사 디자인모올 | Wearable devices in emergency medical technicians at the scene of the disaster |
| CN108449725A (en) * | 2018-02-24 | 2018-08-24 | 北京路图智达信息技术有限公司 | Short message, wechat, integrated video alarm method based on bluetooth warner |
| CN109743531A (en) * | 2018-05-21 | 2019-05-10 | 比亚迪股份有限公司 | The passenger's alarm system and method for automatic Pilot train, vehicle alarming device |
| CN111354159A (en) * | 2018-12-24 | 2020-06-30 | 北京嘀嘀无限科技发展有限公司 | Alarm method and alarm device |
| CN111488784A (en) * | 2019-10-30 | 2020-08-04 | 四川鼎鸿物联网科技有限公司 | 5G communication open type taxi or network taxi appointment intelligent driving comprehensive management service platform |
| CN112040064A (en) * | 2020-09-22 | 2020-12-04 | 深圳市锐尔觅移动通信有限公司 | Control method, electronic device, and computer-readable storage medium |
| CN113160520A (en) * | 2021-05-11 | 2021-07-23 | Tcl通讯（宁波）有限公司 | Data processing method and device, storage medium and intelligent glasses |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022236994A1 (en) * | 2021-05-11 | 2022-11-17 | 惠州Tcl云创科技有限公司 | Data processing method, data processing apparatus, and smart glasses |
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