Watch falling reminding method and device, equipment and storage medium
By monitoring the gravity of the watch wearing in real time and determining the shedding threshold based on historical data, the problem of perceived delay in the shedding reminder is solved, and a more accurate shedding reminder is achieved.
Patent Information
- Application Number
- CN202411382166.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-30
- Publication Date
- 2025-02-14
- Estimated Expiration
- 2044-09-30
AI Technical Summary
Feeling whether the watch will fall off through the perception of the wrist can easily cause errors in judgment or delays in judgment, resulting in the inability to accurately remind users of the risk of the watch falling off.
After sensing that the watch is worn, the wearing gravity received by the watch is monitored in real time to determine whether the wearing gravity is greater than the falling gravity threshold. This threshold is determined based on the historical wearing data of the watch. When it is determined that the wear gravity is greater than the threshold for falling off, the watch will issue a fall off alarm.
By monitoring the shedding gravity threshold determined by wearing gravity and historical data in real time, we can accurately determine whether the watch has a risk of shedding, which improves the accuracy of the watch shedding reminder.
Smart Images

Figure CN119445788A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of computer technology, and in particular to a watch falling off reminder method, device, equipment and storage medium. Background Art
[0002] With the realization of smart watches, watches have been given more functions and the number of users wearing watches has increased accordingly. However, the way of wearing watches is still mechanical. As the watch is used for a longer time or is not worn correctly, it will always fall off.
[0003] The current way to prevent a watch from falling off is to check the strap of the watch before wearing it to see if it is damaged, or to check it after wearing it to see if it is worn correctly and whether it will fall off the wrist. When wearing a watch, the user usually uses the sense of the wrist to determine whether the watch is about to fall off. Due to the different perceptions of different users, the user may not sense when the watch is about to fall off, causing the watch to fall off the wrist and causing economic losses. Therefore, judging whether the watch will fall off by sensing the wrist may result in misjudgment or delayed judgment, which may result in failure to accurately remind the user that the watch is in danger of falling off.
[0004] The above contents are only used to assist in understanding the technical solution of the present application and do not constitute an admission that the above contents are prior art. Summary of the invention
[0005] The main purpose of the present application is to provide a watch falling off reminder method, which aims to solve the technical problem that the user cannot be accurately reminded that the watch is in danger of falling off by sensing whether the watch will fall off through the wrist, which may cause wrong judgment or delayed judgment.
[0006] To achieve the above purpose, the present application proposes a watch falling off reminder method, the method comprising:
[0007] After sensing that the watch is being worn, real-time monitoring of the wearing gravity of the watch;
[0008] Determine whether the wearing gravity is greater than a falling gravity threshold, where the falling gravity threshold is obtained based on historical wearing data of the watch;
[0009] When it is determined that the wearing gravity is greater than the falling gravity threshold, the watch sends out a falling alarm.
[0010] In one embodiment, the step of obtaining the fall-off gravity threshold based on historical wearing data of a user wearing the watch comprises:
[0011] Retrieving historical wearing data of the watch and obtaining usage data of the watch currently being worn;
[0012] Based on the usage data, filtering the wearing habit data of the user currently wearing the watch from the historical wearing data;
[0013] According to the wearing habit data, a falling gravity threshold characterizing the watch wearing habit of the user is determined.
[0014] In one embodiment, the step of filtering the wearing habit data of the user currently wearing the watch from the historical wearing data based on the usage data comprises:
[0015] Filtering the tightness of the watch adjusted by the user when wearing the watch and the initial gravity to which the watch is subjected from the usage data;
[0016] Identify the user currently wearing the watch based on the tightness and the initial gravity that represent the usage habits;
[0017] The wearing habit data of the user is filtered from the historical wearing data.
[0018] In one embodiment, the step of determining the fall-off gravity threshold characterizing the user's watch wearing habits according to the wearing habit data comprises:
[0019] Filtering gravity data on the watch when the user wears the watch from the wearing habit data;
[0020] The gravity data is homogenized to obtain a falling gravity threshold that characterizes the user's watch wearing habits.
[0021] In one embodiment, when it is determined that the wearing gravity is greater than the falling gravity threshold, the step of causing the watch to issue a falling alarm includes:
[0022] When it is determined that the wearing gravity is greater than the falling gravity threshold, determining whether the watch has a tendency to fall off;
[0023] If it is determined that the watch has a tendency to fall off, it is determined that the watch is in danger of falling off, and the watch sends a falling-off alarm.
[0024] In one embodiment, the step of determining whether the watch has a tendency to fall off comprises:
[0025] Obtaining the changing pattern of the gravity exerted on the watch within a preset time period starting from the current time point;
[0026] Determining whether the changing pattern is abnormal;
[0027] If it is determined that the change pattern is abnormal, it is determined that the watch has a tendency to fall off.
[0028] In addition, to achieve the above purpose, the present application also proposes a watch falling off reminder device, the watch falling off reminder device comprising:
[0029] A monitoring module, for monitoring the wearing gravity of the watch in real time after sensing that the watch is being worn;
[0030] A fall-off judgment module, used to judge whether the wearing gravity is greater than a fall-off gravity threshold, wherein the fall-off gravity threshold is obtained based on historical wearing data of the watch;
[0031] The reminder module is used to make the watch send out a fall-off alarm when it is determined that the wearing gravity is greater than the fall-off gravity threshold.
[0032] In addition, to achieve the above-mentioned purpose, the present application also proposes a watch fall reminder device, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, and the computer program is configured to implement the steps of the watch fall reminder method described above.
[0033] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the watch falling off reminder method as described above are implemented.
[0034] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, it implements the steps of the watch falling off reminder method as described above.
[0035] One or more technical solutions proposed in this application have at least the following technical effects:
[0036] Since the gravity exerted on the watch will increase when it falls off, after sensing that the watch is being worn, the wearing gravity exerted on the watch is monitored in real time to detect whether the watch will fall off based on the wearing gravity. Since each user has different watch wearing habits, the gravity exerted on the watch when normally worn is also different. In order to more accurately monitor whether the watch is in danger of falling off, the watch's gravity threshold is determined based on the watch's historical wearing data. When the wearing gravity is greater than the gravity threshold, it indicates that the watch is in danger of falling off. At this time, the watch issues a falling alarm, thereby improving the accuracy of the watch's falling reminder. BRIEF DESCRIPTION OF THE DRAWINGS
[0037] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.
[0038] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.
[0039] Figure 1 A flowchart diagram of the first embodiment of the watch falling off reminder method of the present application;
[0040] Figure 2 A flowchart diagram of the second embodiment of the watch falling off reminder method of the present application;
[0041] Figure 3 A flowchart diagram of the third embodiment of the watch falling off reminder method of the present application;
[0042] Figure 4 This is a schematic diagram of the module structure of the watch falling off reminder device according to an embodiment of the present application;
[0043] Figure 5 This is a schematic diagram of the device structure of the hardware operating environment involved in the watch falling off reminder method in the embodiment of the present application.
[0044] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with embodiments and with reference to the accompanying drawings. 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 solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.
[0047] The main solution of the embodiment of the present application is: after receiving the signal from the sensor that senses that the watch is being worn, the smart chip in the watch uses a gravity sensor to monitor the wearing gravity of the watch in real time; then determines whether the wearing gravity is greater than the falling gravity threshold, and the falling 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 gravity threshold, it indicates that the watch exists, causing the watch to issue a falling alarm.
[0048] In this embodiment, for ease of description, the following description is made taking the smart chip in the watch as the execution entity.
[0049] The existing way to prevent a watch from falling off is to check the strap of the watch before wearing it to see if it is damaged, or to check after wearing the watch to see if the watch is worn correctly and whether it will fall off the wrist. When the watch is worn, the user usually senses whether the watch is about to fall off through the sense of the wrist. Due to the different perceptions of different users, the user may not sense when the watch is about to fall off, causing the watch to fall off the wrist and causing economic losses. Therefore, sensing whether the watch will fall off through the sense of the wrist may cause misjudgment or delay in judgment, resulting in failure to accurately remind the user that the watch is in danger of falling off.
[0050] The present application provides a solution. Since the gravity to which the watch is subjected will increase when it falls off, after sensing that the watch is being worn, the wearing gravity to which the watch is subjected is monitored in real time to detect whether the watch will fall off based on the wearing gravity. Since each user has different habits of wearing a watch, the gravity to which the watch is subjected when it is normally worn is also different. In order to more accurately monitor whether the watch is in danger of falling off, the watch's gravity threshold is determined based on the watch's historical wearing data. When the wearing gravity is greater than the gravity threshold for falling off, 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's falling-off reminder.
[0051] It should be noted that the execution subject of this 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 capable of realizing the above functions, a smart chip in a watch, etc. The following takes the smart chip in a watch as an example to illustrate this embodiment and the following embodiments.
[0052] Based on this, the embodiment of the present application provides a watch falling off reminder method, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the watch falling off reminder method of the present application.
[0053] In this embodiment, the watch falling off reminder method includes steps S10 to S40:
[0054] Step S10, after sensing that the watch is being worn, monitoring the wearing gravity of the watch in real time;
[0055] It should be noted that the wearing gravity can be the gravity exerted on the watch detected by the gravity sensor after the watch is worn on the hand.
[0056] It is understandable that after the watch is worn on the wrist, the wrist will provide a certain supporting force to the watch, which offsets the watch's own gravity. 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 sensing that the watch is being worn.
[0057] In a specific implementation, a sensor in the watch can sense whether the watch is being worn. After sensing that the watch is being worn, the smart chip in the watch obtains 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 based on the wearing gravity.
[0058] Step S20, determining whether the wearing gravity is greater than a falling gravity threshold, wherein the falling gravity threshold is obtained based on historical wearing data of the watch;
[0059] It should be noted that the gravity threshold for falling off is determined based on the historical wearing data of the watch, and represents the gravity that the watch is subjected to when the user wears it normally. Since the user will adjust the tightness of the watch according to his or her own habits when wearing the watch, and the looser the watch is worn, the greater the wearing gravity it is subjected to, the greater the support force provided by the user's wrist for the watch will be, and the user will feel uncomfortable. At this time, the user will sensorily think that the watch is going to fall off. Therefore, in order to satisfy the user's wearing sense, the gravity threshold for falling off that represents the user's wearing habits can be determined based on the historical wearing data of the watch.
[0060] In addition, it should be noted that the falling off of a watch includes the physical falling off of the watch, for example, if the watch is worn on the wrist, the watch falls off the wrist; it also includes the user who wears the watch feeling that the watch has fallen off. For example, the user usually provides support for the watch through the wrist joint. During the wearing process, when the watch strap becomes 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 user's sense of seeing the watch falling off.
[0061] It can be understood that when the wearing gravity is greater than the falling gravity threshold, it means that the watch strap has become loose, that is, there is a possibility that the watch will fall off, and the watch strap has become loose, the user's wrist also needs to provide greater support for the watch, which reduces the user's wearing feeling. Therefore, it is necessary to perform step S20 to dynamically determine the falling gravity threshold required for judging whether the watch has fallen off, so as to improve the accuracy of judging whether the watch has fallen off.
[0062] Step S30, when it is determined that the wearing gravity is greater than the falling gravity threshold, the watch sends out a falling alarm.
[0063] It should be noted that the fall-off warning can be given to the user through the vibration function of the watch, or through the voice function of the watch, etc. The specific function can be determined according to the specific function of the watch and is not limited here.
[0064] It is understandable that since the user perceives the watch as falling off, he or she also believes that the watch is in danger of falling off. Therefore, when it is determined that the wearing gravity is greater than the falling gravity threshold, the watch will issue a falling alarm to remind the user to adjust the tightness of the watch in time.
[0065] It is understandable that since the tightness of a watch generally does not change while it is being worn, when it is detected that the wearing gravity increases during the wearing process, it indicates that the watch strap is damaged, resulting in an increase in the wearing gravity. At this time, continuing to wear the watch will not only affect the user's wearing experience, but the damage to the strap will also become more and more serious, and may also cause the watch to physically fall off. Therefore, when it is determined that the wearing gravity is greater than the falling gravity threshold, the user needs to be reminded so that the user can check and adjust the watch in time to prevent the watch from falling off.
[0066] The present embodiment provides a method for reminding the watch if it falls off. Since the gravity applied to the watch will increase when the watch falls off, after sensing that the watch is being worn, the wearing gravity applied to the watch is monitored in real time to detect whether the watch will fall off based on the wearing gravity. Since each user has different habits of wearing the watch, the gravity applied to 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 gravity threshold of the watch is determined based on the historical wearing data of the watch. When the wearing gravity is greater than the gravity threshold, it indicates that the watch is in danger of falling off. At this time, the watch issues a falling alarm, thereby improving the accuracy of the watch falling reminder.
[0067] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can refer to the above introduction, and will not be repeated later. Figure 2 , step S20 also includes steps S21 to S23:
[0068] Step S21, retrieving the historical wearing data of the watch, and obtaining the usage data of the watch currently being worn;
[0069] It should be noted that the historical wearing data may be the wearing data recorded by the watch when the user wears the watch when the watch is worn, and the usage data may be the usage data when the watch is currently worn.
[0070] It is understandable that since a watch may be used by multiple people, in order to accurately determine the wearing habits of the user currently wearing the watch, it is necessary to retrieve the historical wearing data of the watch and the current usage data of the watch, so as to determine the identity of the user currently wearing the watch based on the usage data, and filter data representing the user's wearing habits from the historical wearing data, thereby improving the accuracy of watch fall-off detection.
[0071] Step S22, based on the usage data, filtering the wearing habit data of the user currently wearing the watch from the historical wearing data;
[0072] It should be noted that the wearing habit data may be data characterizing the user's habit of wearing a watch, for example, the tightness of the watch when normally worn and the gravity to which the watch is subjected when normally worn.
[0073] It is understandable that due to different users' habits of wearing watches, the wearing habit data of watches of different users are also different. In order to flexibly determine the gravity threshold for the watch to fall off according to the current user's habit of wearing the watch, it is necessary to first determine the user who is currently wearing the watch based on the usage data, and then filter the wearing habit data of the watch of the user from the historical wearing data. This not only can accurately obtain the data required to determine the corresponding gravity threshold for the watch to fall off, but also can flexibly determine the corresponding gravity threshold for different users.
[0074] Step S23: determining a watch-falling gravity threshold representing the user's watch-wearing habit according to the wearing habit data.
[0075] It is understandable that if the watch becomes loose after the user wears it normally according to his or her habits, it means that the strap 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 when the user wears the watch normally, it means that the watch is in danger of falling off. Therefore, the gravity that represents the user's watch wearing habits can be used as a basis for judging whether the watch will fall off.
[0076] Furthermore, step S22 further includes:
[0077] Filtering the tightness of the watch adjusted by the user when wearing the watch and the initial gravity to which the watch is subjected from the usage data;
[0078] Identify the user currently wearing the watch based on the tightness and the initial gravity that represent the usage habits;
[0079] The wearing habit data of the user is filtered from the historical wearing data.
[0080] It should be noted that the tightness can be the distance between the watch and the user's skin where the watch is worn. The smaller the distance, the tighter it is, and the larger the distance, the looser it is. The initial gravity can be the gravity that the watch is subjected to after the user has just worn the watch and adjusted the tightness of the watch.
[0081] It is understandable that in order to timely identify the user currently wearing the watch according to the change of the user wearing the watch, the wearing habit data of the user can be flexibly obtained from the historical wearing data, thereby improving the flexibility of the watch falling reminder.
[0082] Optionally, if the user's wearing habit data cannot be filtered out from the historical wearing data, it means that the watch is worn by the user for the first time. In order to accurately detect whether the watch is in danger of falling off when the user wears the watch, the acquired initial gravity can be determined as the gravity threshold for the user's watch wearing habit.
[0083] Furthermore, step S23 may also include:
[0084] Filtering gravity data on the watch when the user wears the watch from the wearing habit data;
[0085] The gravity data is homogenized to obtain a falling gravity threshold that characterizes the user's watch wearing habits.
[0086] It should be noted that the gravity data may be the gravity that the watch was subjected to when the user wore the watch in the past.
[0087] It is understandable that since users will choose the same marking tightness each time they wear the watch based on their wearing habits, and the watch will become loose when worn due to wear and tear after being used, the gravity data can be homogenized to obtain uniform gravity data, and the gravity data can be used as the gravity threshold for falling off.
[0088] It is understandable that in order to increase the gravity drop threshold, the acquired gravity data can be time-limited. Since data far away from the current time has no reference value and will also reduce the accuracy of the gravity drop, the required target duration can also be determined when screening the gravity data.
[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 those in the above embodiments can be referred to the above introduction, and will not be described in detail later. Figure 3 , step S30 also includes steps S1 to S2:
[0090] Step S1, when it is determined that the wearing gravity is greater than the falling gravity threshold, determining whether the watch has a tendency to fall off;
[0091] Step S2: If it is determined that the watch has a tendency to fall off, it is determined that the watch is in danger of falling off, and the watch sends a falling-off alarm.
[0092] It should be noted that the shedding trend may be a development trend that the watch has shedding.
[0093] It is understandable that since some users still wear watches during exercise, the watches will frequently experience a state of weightlessness during exercise. That is, the gravity sensor in the watch detects that the gravity exerted on the watch will affect the gravity threshold for falling off. Therefore, when it is determined that the wearing gravity is greater than the gravity threshold for falling off, it can be further determined whether the watch has a tendency to fall off, so as to avoid frequent reminders to the user when the user is exercising, thereby improving the intelligence of the watch falling off reminder.
[0094] In the specific implementation, in order to improve the accuracy and intelligence of detecting watch falling off, when it is determined that the wearing gravity is greater than the falling gravity threshold, it is necessary to further determine whether the watch has a tendency to fall off, so as to avoid the frequent weightlessness of the watch caused by the user's exercise, and mistakenly believe that the watch is in danger of falling off, and to avoid the inability to accurately detect when the watch is in danger of falling off during the user's exercise. When it is determined that the watch does not have a tendency to fall off, it means that the watch is not in danger of falling off. When it is determined that the watch has a tendency to fall off, regardless of whether the user is exercising or not, it is determined that the watch is in danger of falling off. At this time, the watch needs to issue a falling warning to the user to remind the user to adjust the wearing method of the watch in time.
[0095] Furthermore, the step S1 further includes:
[0096] Obtaining the changing pattern of the gravity exerted on the watch within a preset time period starting from the current time point;
[0097] Determining whether the changing pattern is abnormal;
[0098] If it is determined that the change pattern is abnormal, it is determined that the watch has a tendency to fall off.
[0099] It should be noted that the end point may be the time point at which a time period ends.
[0100] It is understandable that the data farther away from the current time point is less meaningful for judging the changing pattern of the data in the current time period and will also increase the complexity of the judgment. Therefore, it is possible to obtain the changing pattern of the gravity exerted on the watch in a period of time before the current time point as the end point, so as to improve the accuracy of the watch falling off trend at the current time point.
[0101] It is understandable that when the user is exercising, the frequency of weightlessness of the watch in a short period of time is regular, and the start or end of the change is also regular. Therefore, it is possible to judge whether the change pattern of the gravity acting on the watch is abnormal. If the change pattern is abnormal, it means that the user is not exercising, and it can be determined that the watch has a tendency to fall off.
[0102] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the watch falling off reminder method of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.
[0103] This application also provides a watch falling off reminder device, please refer to Figure 4 , the watch falling off reminder device comprises:
[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] A fall-off judgment module 20, used to judge whether the wearing gravity is greater than a fall-off gravity threshold, wherein the fall-off gravity threshold is obtained based on historical wearing data of the watch;
[0106] The reminder module 30 is used to make the watch send out a fall-off alarm when it is determined that the wearing gravity is greater than the fall-off gravity threshold.
[0107] Optionally, the fall-off judgment module 20 is also used to retrieve the historical wearing data of the watch and obtain the usage data of the watch currently 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 fall-off gravity threshold that characterizes the user's habit of wearing the watch based on the wearing habit data.
[0108] Optionally, the fall-off judgment module 20 is also used to filter the tightness of the watch adjusted by the user when wearing the watch and the initial gravity to which the watch is subjected from the usage data; identify the user currently wearing the watch based on the tightness and the initial gravity that characterize usage habits; and filter the user's wearing habit data from the historical wearing data.
[0109] Optionally, the fall-off judgment module 20 is further used to filter the gravity data to which the watch is subjected when the user wears the watch from the wearing habit data; and perform homogenization processing on the gravity data to obtain a fall-off gravity threshold that characterizes the user's watch wearing habit.
[0110] Optionally, the reminder module 30 is also used to determine whether the watch has a tendency to fall off when it is determined that the wearing gravity is greater than the falling gravity threshold; if it is determined that the watch has a tendency to fall off, it is determined that the watch is in danger of falling off, and the watch issues a falling alarm.
[0111] Optionally, the reminder module 30 is also used to obtain the change pattern of the gravity exerted on the watch within a preset time period with the current time point as the end point; determine whether the change pattern is abnormal; if the change pattern is determined to be abnormal, determine that the watch has a tendency to fall off.
[0112] The watch fall-off reminder device provided by the present application adopts the watch fall-off reminder method in the above-mentioned embodiment, which can solve the technical problem that the user cannot be accurately reminded of the danger of the watch falling off by sensing whether the watch will fall off through the wrist, which may cause misjudgment or delay in judgment. Compared with the prior art, the beneficial effects of the watch fall-off reminder device provided by the present application are the same as the beneficial effects of the watch fall-off reminder method provided by the above-mentioned embodiment, and the other technical features of the watch fall-off reminder device are the same as the features disclosed in the above-mentioned embodiment method, which will not be repeated here.
[0113] The present application provides a watch fall reminder device, which includes: at least one processor; and a memory communicatively connected to 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 so that the at least one processor can execute the watch fall reminder method in the above-mentioned embodiment one.
[0114] Reference below Figure 5 , which shows a schematic diagram of the structure of a watch fall-off reminder device suitable for implementing the embodiment of the present application. The watch fall-off reminder device in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 5 The watch fall reminder device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.
[0115] like Figure 5As shown, the watch fall reminder device may include a processing device 1001 (e.g., a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the watch fall reminder device are also stored. The processing device 1001, ROM1002, and RAM1004 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: an input device 1007 including, for example, a touch screen, a touch pad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a 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 fall-off reminder device to communicate wirelessly or wired with other devices to exchange data. Although the watch fall-off reminder device with various systems is shown in the figure, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems can be implemented or provided alternatively.
[0116] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.
[0117] The watch fall-off reminder device provided by the present application adopts the watch fall-off reminder method in the above embodiment, which can solve the technical problem that the user cannot be accurately reminded of the danger of the watch falling off by sensing whether the watch will fall off through the wrist, which may cause misjudgment or delay in judgment. Compared with the prior art, the beneficial effects of the watch fall-off reminder device provided by the present application are the same as the beneficial effects of the watch fall-off reminder method provided by the above embodiment, and the other technical features of the watch fall-off reminder device are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.
[0118] It should be understood that the various parts disclosed in this application can be implemented by 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 one or more embodiments or examples in a suitable manner.
[0119] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.
[0120] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the watch fall-off reminder method in the above-mentioned embodiment.
[0121] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more 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 suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.
[0122] The computer-readable storage medium may be included in the watch fall-off reminder device; or may exist independently without being assembled into the watch fall-off reminder device.
[0123] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the watch falling off reminder device, the watch falling off reminder device: after sensing that the watch is worn, monitors the wearing gravity of the watch in real time; determines whether the wearing gravity is greater than the falling off gravity threshold, and 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, the watch sends a falling off alarm.
[0124] Computer program code for performing the operations of the present application may be written in one or more programming languages or a combination thereof, including object-oriented programming languages such as Java, Smalltalk, C++, and conventional procedural programming languages such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may 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 may be connected to an external computer (e.g., via the Internet using an Internet service provider).
[0125] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.
[0126] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.
[0127] The readable storage medium provided by the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned watch falling-off reminder method, and can solve the technical problem that the user cannot be accurately reminded of the danger of the watch falling off by sensing whether the watch will fall off through the wrist, which may cause misjudgment or delay in judgment. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the present application are the same as the beneficial effects of the watch falling-off reminder method provided by the above-mentioned embodiment, and will not be elaborated here.
[0128] The present application also provides a computer program product, including a computer program, which implements the steps of the watch falling off reminder method as described above when executed by a processor.
[0129] The computer program product provided by the present application can solve the technical problem that the user cannot be accurately reminded of the danger of the watch falling off due to the perception of whether the watch will fall off through the wrist, which may cause misjudgment or delay in judgment. Compared with the prior art, the beneficial effects of the computer program product provided by the present application are the same as those of the watch falling off reminder method provided by the above embodiment, and will not be elaborated here.
[0130] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.
Claims
1. A watch falling off reminder method, characterized in that: The method includes: After sensing that the watch is being worn, real-time monitoring of the wearing gravity of the watch; Determine whether the wearing gravity is greater than a falling gravity threshold, where the falling gravity threshold is obtained based on historical wearing data of the watch; When it is determined that the wearing gravity is greater than the falling gravity threshold, the watch sends out a falling alarm.
2. The method according to claim 1, characterized in that The step of obtaining the falling gravity threshold based on the historical wearing data of the user wearing the watch comprises: Retrieving historical wearing data of the watch and obtaining usage data of the watch currently being worn; Based on the usage data, filtering the wearing habit data of the user currently wearing the watch from the historical wearing data; According to the wearing habit data, a falling gravity threshold characterizing the watch wearing habit of the user is determined.
3. The method according to claim 2, characterized in that The step of filtering the wearing habit data of the user currently wearing the watch from the historical wearing data based on the usage data comprises: Filtering the tightness of the watch adjusted by the user when wearing the watch and the initial gravity to which the watch is subjected from the usage data; Identify the user currently wearing the watch based on the tightness and the initial gravity that represent the usage habits; The wearing habit data of the user is filtered from the historical wearing data.
4. The method according to claim 2, characterized in that The step of determining the falling gravity threshold representing the user's watch wearing habit according to the wearing habit data comprises: Filtering gravity data on the watch when the user wears the watch from the wearing habit data; The gravity data is homogenized to obtain a falling gravity threshold that characterizes the user's watch wearing habits.
5. The method according to any one of claims 1 to 4, characterized in that The step of causing the watch to issue a fall-off alarm when it is determined that the wearing gravity is greater than the fall-off gravity threshold comprises: When it is determined that the wearing gravity is greater than the falling gravity threshold, determining whether the watch has a tendency to fall off; If it is determined that the watch has a tendency to fall off, it is determined that the watch is in danger of falling off, and the watch sends a falling-off alarm.
6. The method according to claim 5, characterized in that The step of determining whether the watch has a tendency to fall off comprises: Obtaining the changing pattern of the gravity exerted on the watch within a preset time period starting from the current time point; Determining whether the changing pattern is abnormal; If it is determined that the change pattern is abnormal, it is determined that the watch has a tendency to fall off.
7. A watch falling off reminder device, characterized in that: The device comprises: A monitoring module, for monitoring the wearing gravity of the watch in real time after sensing that the watch is being worn; A fall-off judgment module, used to judge whether the wearing gravity is greater than a fall-off gravity threshold, wherein the fall-off gravity threshold is obtained based on historical wearing data of the watch; The reminder module is used to make the watch send out a fall-off alarm when it is determined that the wearing gravity is greater than the fall-off gravity threshold.
8. A watch falling off reminder device, characterized in that: The device comprises: a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the watch falling off reminder method as described in any one of claims 1 to 6.
9. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the watch falling off reminder method as described in any one of claims 1 to 6 are implemented.
10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the watch falling off reminder method as claimed in any one of claims 1 to 6 are implemented.
Citation Information
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