Watch falling-off reminding method, device, equipment and storage medium
By monitoring the weight of the watch in real time and setting a threshold for it to fall off using historical data, the problem of delay and error in judging whether the watch will fall off has been solved, resulting in more accurate reminders.
Patent Information
- Application Number
- CN202411382166.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-30
- Publication Date
- 2025-11-28
- Estimated Expiration
- 2044-09-30
AI Technical Summary
Existing technology relies on wrist sensors to determine if a watch has fallen off, which can easily lead to errors or delays in judgment and fails to accurately alert users to the danger of their watch falling off.
By monitoring the weight of the watch in real time after it is worn, and using the watch's historical wearing data to set a weight threshold for when the watch falls off, the system determines whether the weight exceeds the threshold and issues a reminder.
This improves the accuracy of watch fall-off alerts and reduces financial losses caused by misjudgments or delays.
Smart Images

Figure CN119445788B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of computer, in particular to a watch falling-off reminding method, device, equipment and storage medium. BACKGROUND
[0002] With the realization of watch intelligence, the watch is also endowed with more functions, and the user wearing the watch also increases, but the wearing method of the watch is still mechanical, and with the growth of the use time of the watch, or incorrect wearing, the phenomenon of falling off will always occur.
[0003] At present, the way to prevent the watch from falling off is to check the watch strap before wearing the watch, to check whether the watch strap is damaged, or to check after wearing the watch on the hand, to check whether the watch is correctly worn, and whether it will fall off from the wrist. During wearing the watch, it is usually judged whether the watch will fall off through the perception of the wrist. Because the perception of different users is different, the watch will still be in the state of not being perceived when it is about to fall off, so that the watch falls off from the wrist, causing economic loss. Therefore, judging whether the watch will fall off through the perception of the wrist will cause judgment error or delay, resulting in inability to accurately remind the user that the watch is in danger of falling off.
[0004] The above content is only used to assist in understanding the technical solutions of the present application, and does not represent the acknowledgement of the above content as prior art. SUMMARY
[0005] The main purpose of the present application is to provide a watch falling-off reminding method, which aims to solve the technical problem that judging whether the watch will fall off through the perception of the wrist will cause judgment error or delay, resulting in inability to accurately remind the user that the watch is in danger of falling off.
[0006] To achieve the above purpose, the present application provides a watch falling-off reminding method, which comprises:
[0007] After sensing that the watch is worn, the wearing gravity received by the watch is monitored in real time;
[0008] It is judged whether the wearing gravity is greater than a falling-off gravity threshold, and the falling-off gravity threshold is obtained based on historical wearing data of the watch;
[0009] When it is judged that the wearing gravity is greater than the falling-off gravity threshold, the watch sends a falling-off alarm.
[0010] In an embodiment, the step of obtaining the falling-off gravity threshold based on the historical wearing data of the user wearing the watch comprises:
[0011] The historical wearing data of the watch is called, and the current use data of the watch being worn is obtained;
[0012] filter, based on the usage data, wearing habit data of a user currently wearing the watch from the historical wearing data;
[0013] determine, according to the wearing habit data, a falling gravity threshold representing the user's wearing habit of the watch.
[0014] In an embodiment, the step of filtering, based on the usage data, wearing habit data of a user currently wearing the watch from the historical wearing data comprises:
[0015] filtering, from the usage data, the tightness of the watch adjusted by the user when wearing the watch and the initial gravity experienced by the watch;
[0016] identifying the user currently wearing the watch based on the tightness and the initial gravity representing the usage habit;
[0017] filtering, from the historical wearing data, the wearing habit data of the user.
[0018] In an embodiment, the step of determining, according to the wearing habit data, a falling gravity threshold representing the user's wearing habit of the watch comprises:
[0019] filtering, from the wearing habit data, gravity data of the watch experienced by the user when wearing the watch;
[0020] uniformizing the gravity data to obtain the falling gravity threshold representing the user's wearing habit of the watch.
[0021] In an embodiment, the step of causing the watch to issue a falling alarm when determining that the wearing gravity is greater than the falling gravity threshold comprises:
[0022] determining whether the watch has a falling trend when determining that the wearing gravity is greater than the falling gravity threshold;
[0023] if it is determined that the watch has a falling trend, determining that the watch is in danger of falling and causing the watch to issue a falling alarm.
[0024] In an embodiment, the step of determining whether the watch has a falling trend comprises:
[0025] obtaining a change rule of gravity experienced by the watch within a preset time period ending at a current time point;
[0026] determining whether the change rule is abnormal;
[0027] if it is determined that the change rule is abnormal, determining that the watch has a falling trend.
[0028] In addition, to achieve the above object, the present application also provides a watch falling-off reminding device, which comprises:
[0029] a monitoring module, configured to monitor the wearing gravity of the watch in real time after sensing that the watch is worn;
[0030] a falling-off judging module, configured to judge whether the wearing gravity is greater than a falling-off gravity threshold, the falling-off gravity threshold being obtained based on historical wearing data of the watch;
[0031] a reminding module, configured to make the watch issue a falling-off alarm when it is judged that the wearing gravity is greater than the falling-off gravity threshold.
[0032] In addition, to achieve the above object, the present application also provides a watch falling-off reminding device, which comprises a memory, a processor and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the watch falling-off reminding method.
[0033] In addition, to achieve the above object, the present application also provides a storage medium, which is a computer readable storage medium, and the storage medium stores a computer program, the computer program being executable by a processor to implement the steps of the watch falling-off reminding method.
[0034] In addition, to achieve the above object, the present application also provides a computer program product, which comprises a computer program, the computer program being executable by a processor to implement the steps of the watch falling-off reminding method.
[0035] The one or more technical solutions provided by the present application have at least the following technical effects:
[0036] Since the gravity received by the watch will increase when the watch is about to fall off, the wearing gravity of the watch is monitored in real time after sensing that the watch is worn, so as to detect whether the watch will fall off according to the wearing gravity. Since the habits of wearing the watch are different for different users, the gravity received by the watch when it is normally worn is also different. In order to more accurately monitor whether the watch is in danger of falling off, the falling-off gravity threshold of the watch is determined according to the historical wearing data of the watch. When the wearing gravity is greater than the falling-off gravity threshold, it indicates that the watch is in danger of falling off. At this time, the watch issues a falling-off alarm, thereby improving the accuracy of the watch falling-off reminding. BRIEF DESCRIPTION OF DRAWINGS
[0037] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and serve to explain the principles of the present application together with the specification.
[0038] In order to more clearly illustrate the technical solutions of the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced as follows. Obviously, those skilled in the art can obtain other drawings from these drawings without any creative effort.
[0039] Figure 1 The flowchart provided for the watch falling-off reminding method embodiment one of the present application;
[0040] Figure 2 The flowchart provided for the watch falling-off reminding method embodiment two of the present application;
[0041] Figure 3 The flowchart provided for the watch falling-off reminding method embodiment three of the present application;
[0042] Figure 4 The module structure diagram of the watch falling-off reminding device of the present application embodiment;
[0043] Figure 5 The device structure diagram of the hardware running environment involved in the watch falling-off reminding method of the present application embodiment.
[0044] The implementation, functional features and advantages of the present application will be further explained with reference to the drawings in combination with the embodiments. DETAILED DESCRIPTION
[0045] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application, and are not used to limit the present application.
[0046] In order to better understand the technical solutions of the present application, the following will be described in detail in combination with the drawings of the specification and specific embodiments.
[0047] The main solution of the present application embodiment is that: through the smart chip in the watch, after receiving the sensor for sensing that the watch is worn, the gravity sensor is used to monitor the wearing gravity of the watch in real time; then it is judged whether the wearing gravity is greater than the falling-off gravity threshold, the falling-off gravity threshold is obtained based on the historical wearing data of the watch; when it is determined that the wearing gravity is greater than the falling-off gravity threshold, it means that the watch exists, and the watch sends a falling-off alarm.
[0048] In the present embodiment, for the convenience of description, the smart chip in the watch is taken as the execution main body for elaboration.
[0049] Since the existing way to prevent the watch from falling off is to check the watch strap before wearing the watch, to see if the watch strap is damaged, or to check after wearing the watch on the hand, to see if the watch is correctly worn, and whether it will fall off from the wrist. During the wearing process of the watch, the user usually feels whether the watch will fall off through the perception of the wrist, because different users have different perception, so the watch will still be in an unperceived state when it is about to fall off, and then the watch will fall off from the wrist, causing economic loss. Therefore, the judgment error or delay will be caused by the feeling of whether the watch will fall off through the perception of the wrist, which will cause the user to be unable to accurately remind the user of the danger of the watch falling off.
[0050] The present application provides a solution, because the gravity received by the watch will increase when the watch falls off, so after the watch is worn, the wearing gravity received by the watch is monitored in real time, to detect whether the watch will fall off according to the wearing gravity. Because the habits of wearing the watch are different for each user, the gravity received by the watch when it is normally worn is also different. In order to more accurately monitor whether the watch will fall off, the disengagement gravity threshold of the watch is determined according to the historical wearing data of the watch. When the wearing gravity is greater than the disengagement gravity threshold, it means that the watch is in danger of falling off. At this time, the watch sends a falling alarm, which improves the accuracy of the watch falling alarm.
[0051] It should be noted that the execution subject of the present embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device, a smart chip in a watch, etc. which can realize the above functions. The following will take the smart chip in the watch as an example to describe the present embodiment and the following embodiments.
[0052] Based on this, the present application provides a watch falling off reminding method, which is described with reference to Figure 1 , Figure 1 The flowchart of the first embodiment of the watch falling off reminding method of the present application is shown in the figure.
[0053] In the present embodiment, the watch falling off reminding method comprises steps S10-S40:
[0054] Step S10, after sensing that the watch is worn, the wearing gravity received by the watch is monitored in real time;
[0055] It should be noted that the wearing gravity can be the gravity received by the watch detected by the gravity sensor after the watch is worn on the hand.
[0056] It can be understood that, after the watch is worn on the wrist, the wrist provides a certain supporting force to the watch, and the supporting force offsets the gravity of the watch. The greater the wearing gravity detected by the gravity sensor in the watch, the smaller the supporting force provided by the wrist to the watch, and the greater the possibility of the watch falling off. Therefore, it is necessary to monitor the wearing gravity of the watch in real time after detecting that the watch is worn.
[0057] In a specific implementation, after the sensor capable of sensing whether the watch is worn detects that the watch is worn, the smart chip in the watch acquires the wearing gravity of the watch detected by the gravity sensor in the watch, so as to facilitate subsequent detection of whether the watch is in danger of falling off according to the wearing gravity.
[0058] In step S20, it is determined whether the wearing gravity is greater than a falling-off gravity threshold, the falling-off gravity threshold being obtained based on historical wearing data of the watch.
[0059] It should be noted that the falling-off gravity threshold is determined according to the historical wearing data of the watch, and represents the gravity of the watch when the user normally wears the watch. Since the user adjusts the tightness of wearing the watch according to his or her habits when wearing the watch, the greater the wearing gravity of the watch, the greater the supporting force provided by the wrist of the user to the watch, and the user will feel uncomfortable. At this time, the user will feel that the watch will fall off from the perspective of perception. Therefore, in order to meet the wearing feeling of the user, the falling-off gravity threshold representing the wearing habits of the user can be determined according to the historical wearing data of the watch.
[0060] In addition, it should be noted that the falling off of the watch includes the physical falling off of the watch, for example, if the watch is worn on the wrist, the watch falls off from the wrist. It also includes the falling off of the watch from the perspective of the user, for example, the user usually provides a supporting force to the watch through the wrist joint at the wrist. When the watchband of the watch is loose, the watch will slide to the palm, making the user feel uncomfortable. When the watch is separated from the wrist joint, it can be regarded as the falling off of the watch from the perspective of the user.
[0061] It can be understood that, when the wearing gravity is greater than the falling-off gravity threshold, it indicates that the watchband of the watch is loose, that is, the watch has a possibility of falling off, and the wrist of the user needs to provide a greater supporting force to the watch when the watchband of the watch is loose, which reduces the wearing feeling of the user. Therefore, step S20 needs to be performed to dynamically determine the falling-off gravity threshold required for judging whether the watch falls off, and to improve the accuracy of judging whether the watch falls off.
[0062] In step S30, when it is determined that the wearing gravity is greater than the falling-off gravity threshold, the watch sends a falling-off warning.
[0063] It should be noted that the falling-off warning can be a reminder to the user through the vibration function of the watch, and can also be a reminder to the user through the voice function of the watch, and the specific implementation can be determined according to the specific function of the watch, which is not limited here.
[0064] It can be understood that since the user considers the falling-off in the sense to be dangerous for the watch, when it is judged that the wearing gravity is greater than the falling-off gravity threshold, the watch issues a falling-off warning to remind the user to timely adjust the tightness of the watch.
[0065] It can be understood that since the tightness of the watch generally does not change during wearing, when it is detected that the wearing gravity becomes larger during wearing, it indicates that the watchband is damaged, causing the wearing gravity to increase. At this time, if the watch is continued to be worn, not only the wearing experience of the user will be affected, but also the damage of the watchband will become more and more serious, and the watch will be physically fallen off. Therefore, when it is judged that the wearing gravity is greater than the falling-off gravity threshold, the user needs to be reminded to timely check and adjust the watch to prevent the watch from falling off.
[0066] The embodiment provides a watch falling-off reminding method. Since the gravity received by the watch increases when the watch falls off, after the watch is sensed to be worn, the wearing gravity received by the watch is monitored in real time to detect whether the watch will fall off according to the wearing gravity. Since the habits of wearing the watch by different users are different, the gravity received by the watch when the watch is normally worn is also different. In order to more accurately monitor whether the watch is in danger of falling off, the falling-off gravity threshold of the watch is determined according to the historical wearing data of the watch. When the wearing gravity is greater than the falling-off gravity threshold, it indicates that the watch is in danger of falling off. At this time, the watch issues a falling-off warning, thereby improving the accuracy of the watch falling-off reminding.
[0067] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as the above embodiment one can refer to the above description, and will not be repeated hereinafter. On this basis, please refer to Figure 2 , step S20 further includes steps S21-S23:
[0068] Step S21, the historical wearing data of the watch is called, and the current wearing usage data of the watch is acquired;
[0069] It should be noted that the historical wearing data can be the wearing data recorded by the watch when the watch is worn by the user. The usage data can be the usage data when the watch is currently worn.
[0070] It can be understood that, since the watch can be used by multiple people, in order to accurately determine the wearing habit of the user currently wearing the watch, the historical wearing data of the watch and the current wearing use data of the watch are needed to be called to determine the identity of the user currently wearing the watch according to the use data, and the data representing the wearing habit of the user is screened from the historical wearing data, thereby improving the accuracy of the watch falling off detection.
[0071] In step S22, the wearing habit data of the user currently wearing the watch is screened from the historical wearing data based on the use data.
[0072] It should be noted that the wearing habit data can be data representing the habit of the user wearing the watch, for example, the tightness of the normal wearing of the watch and the gravity received by the watch after the normal wearing of the watch.
[0073] It can be understood that, since the habits of users wearing watches are different, the wearing habit data of different users wearing watches is also different, in order to flexibly determine the falling gravity threshold of the current user wearing the watch, it is necessary to first determine the user currently wearing the watch according to the use data, and then screen the wearing habit data of the user wearing the watch from the historical wearing data, which not only accurately obtains the data required to determine the falling gravity threshold corresponding to the user, but also flexibly determines the corresponding falling gravity threshold for different users.
[0074] In step S23, the falling gravity threshold representing the habit of the user wearing the watch is determined according to the wearing habit data.
[0075] It can be understood that, since the user normally wears the watch according to his own habit, if the watch becomes loose, it means that the watchband of the watch becomes loose, which will reduce the wearing experience of the user and may also cause the watch to physically fall off. When the wearing gravity of the watch is greater than the gravity received by the user when the watch is normally worn, it can be concluded that the watch is in danger of falling off, therefore, the gravity representing the habit of the user wearing the watch can be used as a basis for judging whether the watch will fall off.
[0076] Further, step S22 further comprises:
[0077] The tightness of the watch adjusted by the user when wearing the watch and the initial gravity received by the watch are screened from the use data.
[0078] The user currently wearing the watch is identified based on the tightness representing the use habit and the initial gravity.
[0079] The wearing habit data of the user is screened from the historical wearing data.
[0080] It should be noted that the tightness can be the distance between the watch and the skin of the user wearing the watch, the smaller the distance, the tighter, the larger the distance, the looser. The initial gravity can be the gravity received by the watch after the user wears the watch and adjusts the tightness of the watch.
[0081] It can be understood that, in order to identify the user currently wearing the watch in time according to the replacement of the user wearing the watch, and flexibly obtain the wearing habit data of the user from the historical wearing data, the flexibility of the watch falling off prompt is improved.
[0082] Optionally, if the wearing habit data of the user cannot be screened from the historical wearing data, it indicates that the watch is worn by the user for the first time. In order to accurately detect whether the watch will fall off during the user wearing the watch, the initial gravity obtained can be determined as the falling-off gravity threshold of the user's wearing habit of the watch.
[0083] Further, step S23 can further include:
[0084] screening gravity data received by the watch when the user wears the watch from the wearing habit data;
[0085] uniformly processing the gravity data to obtain a falling-off gravity threshold representing the wearing habit of the user.
[0086] It should be noted that the gravity data can be the gravity received by the watch when the user historically wears the watch.
[0087] It can be understood that, since the user will choose the same tightness every time according to the wearing habit, and the watch will become looser due to wear after being used, the gravity data can be uniformly processed to obtain uniform gravity data, and the gravity data is taken as the falling-off gravity threshold.
[0088] It can be understood that, in order to improve the falling-off gravity threshold, the acquired gravity data can be time-limited. Since the data far from the current time has no reference and also reduces the accuracy of the falling-off gravity, when the gravity data is screened, the target time length required can also be determined.
[0089] Based on the first and second embodiments of the present application, in the third embodiment of the present application, the same or similar contents as the above embodiments can be referred to the above introduction, and will not be repeated hereinafter. On this basis, please refer to Figure 3 , step S30 further includes steps S1-S2:
[0090] Step S1, when determining that the wearing gravity is greater than the falling-off gravity threshold, determining whether the watch has a falling trend;
[0091] Step S2, if it is determined that the watch has a falling trend, it is determined that the watch has a falling danger, and the watch issues a falling warning.
[0092] It should be noted that the falling trend can be that the watch has a development trend of falling.
[0093] It can be understood that since some users still wear watches during exercise, the watch will frequently appear weightlessness state during exercise, that is, the gravity sensor in the watch detects that the gravity received by the watch will affect the falling gravity threshold, therefore, when determining that the wearing gravity is greater than the falling gravity threshold, it can be further determined whether the watch has a falling trend to avoid frequently reminding the user when the user is exercising, and to improve the intelligence of the watch falling reminder.
[0094] In a specific implementation, in order to improve the accuracy and intelligence of detecting watch falling, when determining that the wearing gravity is greater than the falling gravity threshold, it is necessary to further determine whether the watch has a falling trend to avoid the frequent weightlessness of the watch caused by the user's exercise being mistaken as the watch having a falling danger, and to avoid the watch failing to accurately detect the falling danger when the user is exercising. When it is determined that the watch does not have a falling trend, it means that the watch does not have a falling danger, and when it is determined that the watch has a falling trend, it is determined that the watch has a falling danger regardless of whether the user is in the process of exercise. At this time, the watch needs to issue a falling warning to the user to remind the user to adjust the wearing mode of the watch in time.
[0095] Further, the step S1 further comprises:
[0096] obtaining a change rule of the gravity received by the watch within a preset time length with the current time point as an end point;
[0097] determining whether the change rule is abnormal;
[0098] if it is determined that the change rule is abnormal, it is determined that the watch has a falling trend.
[0099] It should be noted that the end point can be a time point at which a time period ends.
[0100] It can be understood that since the data farther from the current time point is less meaningful for determining the change rule of the data in the current time period, and also increases the complexity of the determination, the change rule of the gravity received by the watch within a period of time before the current time point with the current time point as an end point can be obtained to improve the accuracy of the falling trend of the watch at the current time point.
[0101] It is understandable that, since the frequency of weightlessness of a watch is regular in a short period of time when the user is moving, and the start or end of this change is also regular, it is possible to determine whether the change pattern of gravity on the watch is abnormal. If the change pattern is abnormal, it means that the user is not moving, and thus it can be determined that the watch is likely to fall off.
[0102] It should be noted that the above examples are only for understanding this application and do not constitute a limitation on the watch detachment reminder method of this application. Any simple modifications based on this technical concept are within the protection scope of this application.
[0103] This application also provides a watch detachment warning device; please refer to... Figure 4 The watch-fall-off reminder device includes:
[0104] The monitoring module 10 is used to monitor the wearing gravity of the watch in real time after sensing that the watch is being worn;
[0105] The detachment judgment module 20 is used to determine whether the wearing gravity is greater than the detachment gravity threshold, which is obtained based on the watch's historical wearing data;
[0106] The reminder module 30 is used to trigger a fall alarm when the wearing weight is determined to be greater than the fall weight threshold.
[0107] Optionally, the detachment judgment module 20 is further configured to retrieve the historical wearing data of the watch and obtain the current usage data of the watch being worn; based on the usage data, filter the wearing habit data of the user currently wearing the watch from the historical wearing data; and determine the detachment gravity threshold characterizing the user's wearing habit of the watch based on the wearing habit data.
[0108] Optionally, the detachment judgment module 20 is further configured to filter from the usage data the tightness of the watch adjusted by the user when wearing the watch and the initial gravity applied to the watch; identify the user currently wearing the watch based on the tightness and the initial gravity that characterize usage habits; and filter from the historical wearing data the user's wearing habit data.
[0109] Optionally, the detachment judgment module 20 is further configured to filter the gravity data of the watch when the user wears the watch from the wearing habit data; and to perform homogenization processing on the gravity data to obtain a detachment gravity threshold characterizing the user's watch wearing habits.
[0110] Optionally, the reminding module 30 is further configured to determine whether the watch has a falling trend if the wearing gravity is greater than the falling gravity threshold; and determine that the watch has a falling risk if the watch has the falling trend, and make the watch issue a falling alarm.
[0111] Optionally, the reminding module 30 is further configured to acquire a variation rule of the gravity acting on the watch within a preset time period with a current time point as an ending point; determine whether the variation rule is abnormal; and determine that the watch has a falling trend if the variation rule is abnormal.
[0112] The watch falling reminding apparatus provided in the present application adopts the watch falling reminding method in the above embodiments, and can solve the technical problem that the judgment error or delay may be caused by sensing whether the watch will fall through the wrist, and the user cannot be accurately reminded that the watch has a falling risk. Compared with the prior art, the watch falling reminding apparatus provided in the present application has the same beneficial effects as the watch falling reminding method provided in the above embodiments, and other technical features in the watch falling reminding apparatus are the same as the features disclosed in the above embodiments, which will not be described herein.
[0113] The present application provides a watch falling reminding device, which comprises at least one processor and a memory connected with the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the watch falling reminding method in the above embodiment one.
[0114] Reference will be made to the following description of the embodiments of the present application. Figure 5 which shows a structural schematic diagram of a watch falling reminding device suitable for implementing the embodiments of the present application. The watch falling reminding device in the embodiments of the present application can include, but is not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (Personal Digital Assistant), PADs (Portable Application Description), PMPs (Portable Media Player), vehicle-mounted terminals (for example, vehicle-mounted navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. Figure 5 The watch falling reminding device shown is only an example, and should not bring any limitation to the functions and use range of the embodiments of the present application.
[0115] As Figure 5As shown, the watch falling-off reminding device can include a processing device 1001 (e.g., a central processing unit, a graphics processing unit, etc.) that can perform various appropriate actions and processes according to programs stored in a read-only memory (ROM) 1002 or programs loaded from a storage device 1003 into a random access memory (RAM) 1004. Various programs and data required for the operation of the watch falling-off reminding device are also stored in the RAM 1004. The processing device 1001, the ROM 1002, and the RAM 1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touch pad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; the storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the watch falling-off reminding device to communicate with other devices wirelessly or by wire to exchange data. Although the watch falling-off reminding device with various systems is shown in the figure, it should be understood that all the shown systems are not required to be implemented or possessed. More or fewer systems can be alternatively implemented or possessed.
[0116] In particular, according to embodiments of the present disclosure, the processes described above with reference to the flowcharts can be implemented as a computer software program. For example, embodiments of the present disclosure include a computer program product comprising a computer program carried on a computer readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network through the communication device, or installed from the storage device 1003, or installed from the ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the methods of the embodiments of the present disclosure are performed.
[0117] The watch falling-off reminding device provided by the present disclosure adopts the watch falling-off reminding method in the above-mentioned embodiments, and can solve the technical problem that the judgment error or delay may be caused by sensing whether the watch will fall off through the wrist, resulting in the inability to accurately remind the user of the danger of the watch falling off. Compared with the prior art, the watch falling-off reminding device provided by the present disclosure has the same beneficial effects as the watch falling-off reminding method provided by the above-mentioned embodiments, and other technical features in the watch falling-off reminding device are the same as the features disclosed in the previous embodiment method, which will not be described here.
[0118] It should be understood that various aspects of the disclosure can be implemented in hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any appropriate manner in any one or more embodiments or examples.
[0119] The above description is merely illustrative of the application and is not intended to limit the scope of the application. Any variations and modifications that can be made by any person skilled in the art within the spirit and scope of the application are intended to be encompassed by the application. The scope of the application is defined by the appended claims.
[0120] The application provides a computer readable storage medium having stored thereon computer readable program instructions (i.e., computer programs) for performing the watch falling-off reminding method in the above embodiments.
[0121] The computer readable storage medium provided by the application may, for example, be a U disk, but is not limited to an electric, magnetic, optical, electromagnetic, infrared, or semiconductor system, system, or device, or any combination thereof. More specific examples of the computer readable storage medium can include, but are not limited to, an electric connection having one or more conductive wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any appropriate combination thereof. In the present embodiment, the computer readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer readable storage medium can be transmitted by any appropriate medium, including but not limited to an electric wire, an optical cable, an RF (Radio Frequency), etc., or any appropriate combination thereof.
[0122] The above computer readable storage medium can be contained in the watch falling-off reminding device; or can exist separately without being assembled into the watch falling-off reminding device.
[0123] The computer readable storage medium stores one or more programs, when the one or more programs are executed by the watch falling-off reminding device, the watch falling-off reminding device is caused to: after sensing that the watch is worn, monitoring a wearing gravity received by the watch in real time; judging whether the wearing gravity is greater than a falling-off gravity threshold, the falling-off gravity threshold being obtained based on historical wearing data of the watch; causing the watch to issue a falling-off warning when it is judged that the wearing gravity is greater than the falling-off gravity threshold.
[0124] Computer program code for carrying out operations of the present application can be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code can execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computer (for example, through the Internet using an Internet Service Provider).
[0125] The flow diagrams and the block diagrams in the drawings are illustrations of architectures, functionalities, and operations of possible implementations of systems, methods, and computer program products according to various embodiments of present application. In this regard, each block in the flow diagrams or block diagrams can represent a module, a segment, or a portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that in some alternative implementations, the functions noted in the blocks can occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently or the blocks may
[0126] The modules involved in the embodiments of the present application can be implemented in the manner of software or in the manner of hardware. Among them, the name of the module does not constitute a limitation to the unit itself in some cases.
[0127] The readable storage medium provided by the application is a computer readable storage medium, which stores computer readable program instructions (i.e. computer programs) for executing the watch falling off reminding method described above, and can solve the technical problem that the watch falling off is sensed through the wrist, which can cause judgment error or delay, and cannot accurately remind the user of the danger of the watch falling off. Compared with the prior art, the computer readable storage medium provided by the application has the same beneficial effects as the watch falling off reminding method provided by the above-mentioned embodiments, and will not be described here.
[0128] The application also provides a computer program product, comprising a computer program, which, when executed by a processor, implements the steps of the watch falling off reminding method described above.
[0129] The computer program product provided by the application can solve the technical problem that the watch falling off is sensed through the wrist, which can cause judgment error or delay, and cannot accurately remind the user of the danger of the watch falling off. Compared with the prior art, the computer program product provided by the application has the same beneficial effects as the watch falling off reminding method provided by the above-mentioned embodiments, and will not be described here.
[0130] The above-mentioned is only part of the embodiments of the application, and does not limit the patent scope of the application, and any equivalent structural transformation, direct / indirect application in other related technical fields based on the technical concept of the application, and the content of the specification and drawings of the application are included in the patent protection scope of the application.
Claims
1. A watch fall-off reminding method characterized by comprising: The method comprises: After sensing that the watch is worn, the wearing gravity received by the watch is monitored in real time; It is judged whether the wearing gravity is greater than a falling gravity threshold, the falling gravity threshold being obtained based on historical wearing data of the watch; When it is judged that the wearing gravity is greater than the falling gravity threshold, the watch is caused to issue a falling alarm; Before the step of judging whether the wearing gravity is greater than a falling gravity threshold, the falling gravity threshold being obtained based on historical wearing data of the watch, the method comprises: The historical wearing data of the watch is called, and use data of the watch currently being worn is obtained; Based on the use data, wearing habit data of a user currently wearing the watch is screened from the historical wearing data; Based on the wearing habit data, a falling gravity threshold representing the wearing habit of the user is determined; The step of screening, based on the use data, wearing habit data of a user currently wearing the watch from the historical wearing data comprises: The tightness of the watch adjusted by the user when wearing the watch and the initial gravity received by the watch are screened from the use data; Based on the tightness and the initial gravity representing the use habit, the user currently wearing the watch is identified; The wearing habit data of the user is screened from the historical wearing data.
2. The method of claim 1, wherein, The step of determining, based on the wearing habit data, a falling gravity threshold representing the wearing habit of the user comprises: From the wearing habit data, gravity data of the watch received by the user when wearing the watch is screened; The gravity data is uniformly processed to obtain a falling gravity threshold representing the wearing habit of the user.
3. The method of any one of claims 1 to 2, wherein, The step of causing the watch to issue a falling alarm when it is judged that the wearing gravity is greater than the falling gravity threshold comprises: When it is judged that the wearing gravity is greater than the falling gravity threshold, it is judged whether the watch has a falling trend; If it is judged that the watch has a falling trend, it is determined that the watch is in danger of falling, and the watch is caused to issue a falling alarm.
4. The method of claim 3, wherein, The step of judging whether the watch has a falling trend comprises: The change rule of the gravity received by the watch within a preset time length with the current time point as the end point is obtained; It is judged whether the change rule is abnormal; If it is judged that the change rule is abnormal, it is determined that the watch has a falling trend.
5. A watch fall-off reminding device characterized by comprising: The device comprises: A monitoring module, configured to monitor the wearing gravity received by the watch in real time after sensing that the watch is worn; A falling judgment module, configured to judge whether the wearing gravity is greater than a falling gravity threshold, the falling gravity threshold being obtained based on historical wearing data of the watch; A reminding module, configured to cause the watch to issue a falling alarm when it is judged that the wearing gravity is greater than the falling gravity threshold; The watch falling reminding device is further configured to implement: The historical wearing data of the watch is called, and use data of the watch currently being worn is obtained; Based on the use data, wearing habit data of a user currently wearing the watch is screened from the historical wearing data; According to the wearing habit data, a falling-off gravity threshold representing the user's wearing habit of the watch is determined; The watch falling-off reminding device is further configured to implement: screening, from the use data, the tightness of the watch adjusted by the user when wearing the watch and the initial gravity received by the watch; identifying, based on the tightness and the initial gravity representing the use habit, the user currently wearing the watch; screening, from the historical wearing data, the wearing habit data of the user.
6. A watch fall-out reminding device characterized by, The device comprises a memory, a processor, and a computer program stored on the memory and executable on the processor, and the computer program is configured to implement the steps of the watch falling-off reminding method according to any one of claims 1 to 4.
7. A storage medium, characterized by The storage medium is a computer readable storage medium, and the storage medium stores a computer program, and the computer program is executed by a processor to implement the steps of the watch falling-off reminding method according to any one of claims 1 to 4.
8. A computer program product, characterised in that, The computer program product comprises a computer program, and the computer program is executed by a processor to implement the steps of the watch falling-off reminding method according to any one of claims 1 to 4.
Citation Information
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