Message prompting method and device of wearable equipment, equipment and storage medium

Abstract

The invention relates to the technical field of wearable devices, and discloses a message prompting method and device of a wearable device, equipment and a storage medium, and the message prompting method of the wearable device comprises the steps: obtaining user state information and environment state information of a target user; determining a state keyword of the target user according to the user state information and the environment state information; determining a message prompting mode of the wearable device according to the state keyword and the obtained to-be-processed message; the message prompting mode represents a message prompting mode of the wearable device; and performing message prompting for the target user according to the message prompting mode. According to the invention, the message prompting mode is switched according to the user state information and the environment state information, and the experience feeling of the user on the wearable device is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of wearable devices, and in particular to a message prompt method, device, equipment and storage medium for a wearable device. Background Art

[0002] With the popularization of mobile devices, the improvement of computing power and the advancement of sensor technology, augmented reality (AR) glasses are developing rapidly. The interaction between AR glasses and users is an important part of augmented reality technology.

[0003] At present, the interaction between AR glasses and users includes visual interaction, gesture interaction, voice interaction and tactile feedback, among which visual interaction and voice interaction are the main ways for AR glasses to interact with users. For example, some AR glasses can provide various customized prompt methods and information display in specific application scenarios, but the interactive switching capabilities in different environmental scenes are insufficient. For example, when a user receives a message prompt while stationary, it can be displayed in half screen for easy reading. However, if the user continues to display in half screen during exercise, it will affect the line of sight. In most cases, the user can only be prompted in a fixed form or the prompt method can be switched through instructions. The user needs to intervene to switch the prompt method, which affects the user's line of sight and leads to a poor user experience. Summary of the invention

[0004] In view of this, the present invention provides a message prompt method, apparatus, device and storage medium for a wearable device to solve the problem of insufficient interactive switching function of the wearable device.

[0005] In a first aspect, the present invention provides a message prompt method for a wearable device, comprising:

[0006] Obtain user status information and environmental status information of the target user; determine the status keyword of the target user based on the user status information and the environmental status information; determine the message prompt mode of the wearable device based on the status keyword and the obtained pending message; wherein the pending message is a message waiting for the user to process, and the message prompt mode represents the message prompt method of the wearable device; and provide the target user with a message prompt according to the message prompt mode.

[0007] Beneficial effects: The present invention determines the state keywords of the target user based on the user state information reflecting the user's psychological state and motion state, and the environmental state information reflecting the conditions and characteristics in a specific environment or scene, determines the message prompt mode of the wearable device based on the state keywords and the message to be processed, and performs message prompts for the target user based on the message prompt mode. The present invention uses the user state information and the environmental state information as the basis for message prompts to the target user, determines the state keywords of the target user, classifies different states and environments, and normalizes them, thereby normalizing the user state information and the environmental state information, obtaining the state keywords, determining the message prompt mode based on the state keywords, and performing message prompts for the target user based on the message prompt mode. Compared with the related art in which the prompt mode is switched by manual intervention, the present invention realizes automatic switching of the message prompt mode according to the user state and the environmental state, and can switch the most suitable message prompt mode for the target user without the intervention of the target user, thereby improving the user's experience and the efficiency of switching the message prompt mode.

[0008] In an optional implementation, obtaining user status information and environmental status information of a target user includes: collecting sensor data, where the sensor data is status data collected by the sensor; preprocessing the sensor data to obtain valid data, where the valid data is information that can be used to determine the user status and environmental status; inputting the valid data into a trained preset neural network model to obtain user status information and environmental status information; wherein the input of the preset neural network model is valid data, and the output of the preset neural network model is user status information and environmental status information.

[0009] Beneficial effects: The present invention collects sensor data, pre-processes the sensor data, obtains valid data, improves the data quality of sensor data, reduces data analysis costs, facilitates subsequent data processing, and improves the accuracy of valid data. The valid data is input into a preset neural network model that has been trained. The preset neural network is obtained through a large amount of data training, so the obtained user status information and environmental status information are more accurate.

[0010] In an optional embodiment, the status keywords of the target user are determined based on the user status information and the environmental status information, including: extracting information from the user status information and the environmental status information to obtain key information; wherein the key information is information representing the motion status and environmental characteristics of the target user; matching the key information with preset keywords, and obtaining the status keywords based on the matching results.

[0011] In an optional embodiment, the message prompt mode of the wearable device is determined based on the status keywords and the acquired messages to be processed, including: analyzing the status keywords and the messages to be processed according to preset rules to determine the modality and paradigm of the wearable device; wherein the modality represents the message presentation mode, and the paradigm represents the form of the message presentation; the modality and paradigm are combined to determine the message prompt mode of the wearable device.

[0012] Beneficial effects: The present invention analyzes status keywords and messages to be processed according to preset rules, determines the message prompt mode of the wearable device, and comprehensively considers the influence of various factors to switch the message prompt mode that best suits the current scenario for the target user, thereby improving the user experience.

[0013] In an optional implementation, the rule priority of the preset rule is set according to demand information; wherein the demand information is information indicating the user demand.

[0014] Beneficial effects: The present invention sets the rule priority of the preset rules according to the demand information, and can set the rule priority according to the wishes of the target user. The message prompt mode obtained according to the preset rules will better meet the needs of the target user.

[0015] In an optional implementation, the message prompt mode is sent to a data output module, and the data output module is used to provide a message prompt to the target user according to the message prompt mode.

[0016] In an optional implementation, the user state information is information reflecting the user's psychological state and movement state, and the environment state information is information about conditions and features in a specific environment or scene.

[0017] In an optional implementation, the state keyword is a keyword representing the motion state and environmental characteristics of the target user.

[0018] In an optional implementation, the message prompt pattern is evaluated based on artificial intelligence confidence to determine the accuracy of the message prompt pattern.

[0019] Beneficial effect: The present invention evaluates the message prompt mode according to the artificial intelligence confidence level and determines the accuracy of the message prompt mode, so as to subsequently adjust the preset rules according to the accuracy of the message prompt mode.

[0020] In an optional implementation, device information is obtained, where the device information is information indicating an operating status of the wearable device; the operating status of the wearable device is determined according to the device information, and the message prompt mode is adjusted according to the operating status.

[0021] Beneficial effect: The present invention determines the operating state of the wearable device according to the device information of the wearable device, and determines the message prompt mode according to the operating state. For example, when the operating state is taken off, no message prompt is performed, thereby reducing the power consumption of the wearable device.

[0022] In a second aspect, the present invention provides a message prompting device for a wearable device, comprising:

[0023] An information acquisition module is used to obtain user status information and environmental status information of a target user; a status keyword determination module is used to determine the status keyword of a target user based on the user status information and environmental status information; a message prompt mode determination module is used to determine the message prompt mode of a wearable device based on the status keyword and the acquired pending messages; wherein the pending messages are messages waiting to be processed by the user, and the message prompt mode indicates the message prompt method of the wearable device; a message prompt module is used to provide message prompts to the target user based on the message prompt mode.

[0024] In a third aspect, the present invention provides a computer device, comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the message prompt method for a wearable device of the first aspect or any corresponding embodiment thereof by executing the computer instructions.

[0025] In a fourth aspect, the present invention provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute the message prompt method for a wearable device of the first aspect or any corresponding embodiment thereof. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0027] Figure 1 is a flow chart of a message prompt method for a wearable device according to an embodiment of the present invention;

[0028] Figure 2 is a flow chart of a message prompt method of another wearable device according to an embodiment of the present invention;

[0029] Figure 3 is a flowchart of a message prompt method for a wearable device according to an embodiment of the present invention;

[0030] Figure 4 is a schematic diagram of a data status analysis structure according to an embodiment of the present invention;

[0031] Figure 5 is a structural block diagram of a message prompt method and apparatus for a wearable device according to an embodiment of the present invention;

[0032] Figure 6 It is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0033] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0034] An embodiment of the present invention provides a message prompt method for a wearable device, which determines a message prompt mode of the wearable device according to user status information and environmental status information to achieve an effect of automatic switching of the message prompt mode.

[0035] According to an embodiment of the present invention, an embodiment of a message prompt method for a wearable device is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0036] In this embodiment, a message prompt method for a wearable device is provided, which can be used for the above-mentioned wearable device. Figure 1 is a flowchart of a message prompt method for a wearable device according to an embodiment of the present invention. Figure 1 As shown, the process includes the following steps:

[0037] Step S101, obtaining user status information and environment status information of a target user.

[0038] In some optional implementations, the user state information is information reflecting the user's psychological state and movement state, and the environmental state information is information about conditions and characteristics in a specific environment or scene.

[0039] In some optional implementations, user status information and environmental status information of the target user are collected through sensors, wherein a plurality of sensors are configured on the wearable device, and the wearable device may be augmented reality (AR) glasses.

[0040] Among them, the user state information includes the psychological state, physical state and movement state of the target user. For example, the psychological state includes happiness, anger, etc., the physical state includes illness, staring, etc., and the movement state includes riding, walking, stillness, etc.

[0041] The environmental status information includes the environment or scene where the target user is located. For example, the environmental status information includes a conference room, outdoors, a road, a bedroom, and the like.

[0042] Step S102: determining the state keyword of the target user according to the user state information and the environment state information.

[0043] In some optional implementations, the state keywords are keywords representing the motion state and environmental characteristics of the target user.

[0044] In some optional implementations, the user status information and the environment status information are analyzed and extracted to obtain key information, the key information is matched with preset keywords, and the status keywords are obtained according to the matching results.

[0045] Among them, key information is obtained based on user status information and environmental status information. The key information includes information that represents the user status and environmental status. For example, the key information may be "user is riding outdoors", "user is resting on a park bench", etc.

[0046] Preset keywords are pre-set keywords. Preset keywords include all status keywords of the target user. Preset keywords can also be customized. For example, preset keywords include but are not limited to outdoor, road, bedroom, park, stadium, cycling, walking, resting, stillness, sleeping, jogging, sprinting, driving, cooking, etc.

[0047] The key information is matched with the preset keywords, and the status keywords are obtained according to the matching results. For example, if the key information is "the user is riding outdoors", it is matched with the preset keywords to obtain the status keywords: outdoors, riding; if the key information is "the user is resting on a park bench", it is matched with the preset keywords to obtain the status keywords: park, rest.

[0048] Step S103, determining the message prompt mode of the wearable device according to the status keyword and the obtained pending message; wherein the pending message is a message waiting for the user to process, and the message prompt mode represents the message prompt method of the wearable device.

[0049] In some optional implementations, the obtained status keywords and the messages to be processed are analyzed to determine the message prompt mode of the wearable device.

[0050] The message to be processed is analyzed to determine the word count, length, message sender, and message content of the message to be processed, and the status keyword is combined with the message to be processed to determine the message prompt mode of the wearable device. For example, if the status keyword is outdoor, cycling, and the message to be processed is five lines long, the message prompt mode of the wearable device is determined as: converting the text into voice broadcast and playing it loudly.

[0051] Among them, the message prompt modes include multiple ones, which can be customized according to user needs. For example, the message prompt modes include: pop-up full-screen display, pop-up half-screen display, voice broadcast, delayed reminder, ignore, vibration without display, etc.

[0052] Step S104: Prompt a message to the target user according to the message prompt mode.

[0053] In some optional implementations, the message prompt mode is sent to a data output module, and the data output module is used to provide a message prompt to the target user according to the message prompt mode.

[0054] Exemplarily, the data output module converts the text into a voice broadcast and plays it aloud.

[0055] In some optional implementations, the method further includes: setting a rule priority of a preset rule according to demand information; wherein the demand information is information indicating user demand.

[0056] Among them, the demand information is the information set by the user to express the demand. The rule priority of the preset rule is set according to the demand information. The preset rule can be customized according to the demand information. Exemplarily, user safety is more important than user emotion.

[0057] In an embodiment of the present invention, status keywords and messages to be processed are analyzed according to preset rules to determine the message prompt mode of the wearable device. Taking into account the influence of various factors, the message prompt mode that best suits the current scenario is switched for the target user to enhance the user's experience.

[0058] The embodiment of the present invention sets the rule priority of the preset rule according to the demand information, and can set the rule priority according to the wishes of the target user, so that the message prompt mode obtained according to the preset rule better meets the needs of the target user.

[0059] In some optional implementations, the method further includes: evaluating the message prompt pattern according to artificial intelligence confidence to determine the accuracy of the message prompt pattern.

[0060] Among them, AI confidence refers to the degree of AI's assessment of the reliability and accuracy of the message prompt mode. At the same time, AI confidence can be used as an option for data status analysis to assist in analyzing and determining the message prompt mode. For example, if the pending message received by the target user when he is happy is an insulting message, the message prompt mode can be modified to a delayed reminder based on the AI ​​confidence.

[0061] In an embodiment of the present invention, the message prompt pattern is evaluated according to the artificial intelligence confidence level to determine the accuracy of the message prompt pattern so that the preset rules can be subsequently adjusted according to the accuracy of the message prompt pattern.

[0062] In some optional implementations, the method further includes: acquiring device information, where the device information is information indicating an operating status of the wearable device; determining the operating status of the wearable device according to the device information, and adjusting a message prompt mode according to the operating status.

[0063] Among them, the device information includes the operating status of the wearable device, the wearing condition of the wearable device, etc. Exemplarily, the device information can be wearing, taking off, standby, charging, waiting to be charged, no network signal, etc.

[0064] Exemplarily, when the operating state of the wearable device is taken off, the message reminder mode is determined as no message delayed reminder according to the operating state.

[0065] The embodiment of the present invention determines the operating state of the wearable device according to the device information of the wearable device, and determines the message prompt mode according to the operating state. For example, when the operating state is taken off, no message prompt is performed, thereby reducing the power consumption of the wearable device.

[0066] In the embodiment of the present invention, a message prompt mode has been confirmed according to the aforementioned embodiment. When it is detected that the device state of the wearable device has changed, the message prompt mode is updated to a new message prompt mode according to the device state of the wearable device.

[0067] The message prompt method of the wearable device provided in this embodiment determines the state keyword of the target user according to the user state information reflecting the user's psychological state and motion state, and the environmental state information reflecting the conditions and characteristics in a specific environment or scene, determines the message prompt mode of the wearable device according to the state keyword and the message to be processed, and performs message prompts for the target user according to the message prompt mode. The present invention uses the user state information and the environmental state information as the basis for message prompts to the target user, determines the state keyword of the target user, classifies different states and environments, and normalizes them, thereby normalizing the user state information and the environmental state information, obtains the state keyword, determines the message prompt mode according to the state keyword, and performs message prompts for the target user according to the message prompt mode. Compared with the related art in which the prompt mode is switched by manual intervention, the present invention realizes automatic switching of the message prompt mode according to the user state and the environmental state, and can switch the most suitable message prompt mode for the target user without the intervention of the target user, thereby improving the user's experience and the efficiency of switching the message prompt mode.

[0068] In this embodiment, a message prompt method for a wearable device is provided, which can be used for the above-mentioned wearable device. Figure 2 is a flowchart of a message prompt method for a wearable device according to an embodiment of the present invention. Figure 2 As shown, the process includes the following steps:

[0069] Step S201, obtain the user status information and environment status information of the target user. Figure 1 Step S101 of the illustrated embodiment will not be described in detail here.

[0070] In some optional implementations, the above step S201 includes:

[0071] Step S2011, collecting sensor data, where the sensor data is status data collected by the sensor.

[0072] Among them, a plurality of sensors are configured on the wearable device, and sensor data is collected according to the sensors on the wearable device.

[0073] Step S2012, pre-processing the sensor data to obtain valid data, where the valid data is information that can be used to determine the user status and the environment status.

[0074] Among them, preprocessing includes operations such as noise reduction, filtering, and data calibration to ensure the validity and reliability of the data.

[0075] Step S2013, input the valid data into the trained preset neural network model to obtain user status information and environment status information.

[0076] Among them, the input of the preset neural network model is valid data, and the output of the preset neural network model is user state information and environment state information.

[0077] In some optional embodiments, the method also includes training a preset neural network model, and the training method includes obtaining historical sensor data, preprocessing the historical sensor data to obtain historical valid information, inputting the historical valid information into a preset neural network model, training the preset neural network model, and evaluating the accuracy of the preset neural network model based on the training results.

[0078] Step S202: Determine the status keyword of the target user according to the user status information and the environment status information. Figure 1 Step S102 of the illustrated embodiment will not be described in detail here.

[0079] In some optional implementations, the above step S202 includes:

[0080] Step S2021, extracting the user status information and the environment status information to obtain key information; wherein the key information is information representing the motion status of the target user and the environment characteristics.

[0081] Step S2022, matching the key information with the preset keywords, and obtaining the status keywords according to the matching results.

[0082] Step S203, determine the message prompt mode of the wearable device according to the status keyword and the obtained pending message; wherein the pending message is a message waiting for the user to process, and the message prompt mode indicates the message prompt mode of the wearable device. Figure 1 Step S103 of the illustrated embodiment will not be described in detail here.

[0083] In some optional implementations, the above step S203 includes:

[0084] Step S2031, analyzing the status keywords and the messages to be processed according to preset rules to determine the mode and paradigm of the wearable device; wherein the mode represents the message presentation mode, and the paradigm represents the form of the message presentation.

[0085] Among them, the modes include vision, voice, vibration, voice + vision, sleep, etc., and the paradigms include single-line scrolling at the top of the screen, semi-transparent screen, half screen, full screen display, arrows, pop-ups, low volume, high volume, etc.

[0086] Step S2032: Combine the modality and paradigm to determine the message prompt mode of the wearable device.

[0087] In some optional implementations, the modality and paradigm are combined to determine a message prompt mode. For example, the message prompt mode may be voice, in a low voice; visual, in a single-line scrolling at the top of the screen, or the like.

[0088] Step S204: Prompt the target user with a message according to the message prompt mode. Figure 1 Step S104 of the illustrated embodiment will not be described in detail here.

[0089] In some optional implementations, the above step S204 includes:

[0090] Step S2041, sending the message prompt mode to the data output module, the data output module is used to provide a message prompt to the target user according to the message prompt mode.

[0091] The message prompt method for a wearable device provided in this embodiment collects sensor data, pre-processes the sensor data, obtains valid data, improves the data quality of the sensor data, reduces the data analysis cost, facilitates subsequent data processing, and improves the accuracy of the valid data. The valid data is input into a preset neural network model that has been trained. The preset neural network is obtained through a large amount of data training, so the obtained user status information and environmental status information are more accurate.

[0092] In this embodiment, a message prompt method for a wearable device is provided, which can be used for the above-mentioned wearable device. Figure 3 is a flowchart of a message prompt method of another wearable device according to an embodiment of the present invention. Figure 3 As shown, the process includes:

[0093] Obtain user status information, environment status information and device information according to sensors; obtain data input information, wherein the data input information is the information to be processed received by the target user; perform data status analysis on the user status information, environment status information, device information and input information to obtain analysis results, determine the modal paradigm of the wearable device according to the analysis results, and send the modal paradigm to the data output module or application according to the modal paradigm data distributor, and the data output module or application is used to prompt the data input information to the target user according to the modal paradigm.

[0094] In the embodiment of the present invention, Figure 4As shown, it is a schematic diagram of the data state analysis structure according to an embodiment of the present invention. User state information (user state), environmental state information (environmental state) and device information (device state) are obtained according to sensors. Data input includes images, audio and text, etc. The above information is input into the state analysis controller to obtain the modal and paradigm of the wearable device. The modal and paradigm are sent to the distribution display module or application prompt to prompt the target user with the data input information according to the modal paradigm.

[0095] The wearable device may be an AR glasses. For example, if the target user receives a pending message while sitting on a bench outdoors, and then starts riding, and receives another pending message during the ride. Generally, AR glasses display the pending message content in the form of a notification. The pending message may be a four- or five-line text notification. Receiving a text notification while the target user is sitting on a bench outdoors will not have a negative impact. However, when the target user starts riding, displaying the pending message content in the form of a notification will block the target user's line of sight, thereby causing a safety hazard.

[0096] For the embodiment of the present invention, the operation process is as follows: through various AR sensors, the current environment state is obtained as "outdoors", the user state is "resting", and according to the input data information as long text and various state analysis, the appropriate modal paradigm type may be visual, full screen, half screen, and semi-transparent. The analyzed modal paradigm is distributed to the message notification module, and the message notification module prompts the target user according to the appropriate modal paradigm, such as displaying the text to the target user in full screen and semi-transparent.

[0097] When the target user starts riding, he receives another long message to be processed. At this time, the state sensor determines that the environment state is "outdoor" and the user state is "riding". According to the input data information, which is a long text and various state analysis, the appropriate modal paradigm type may be voice and loud. The analyzed modal paradigm is distributed to the message notification module, and the message notification module prompts the target user machine according to the appropriate modal paradigm, such as converting text into voice broadcast and playing loudly.

[0098] Another message prompt method for a wearable device provided by an embodiment of the present invention obtains user status information, environmental status information, device information and messages to be processed in real time, determines the modal paradigm of the wearable device based on the above information, and prompts the target user with data input information based on the modal paradigm, thereby realizing the switching of the modal paradigm of the wearable device. In different state environments, different effects can be obtained without user operation, thereby improving the user experience.

[0099] In this embodiment, a message prompt device for a wearable device is also provided, which is used to implement the above-mentioned embodiments and preferred embodiments, and will not be repeated here. As used below, the term "module" can implement a combination of software and / or hardware for a predetermined function. Although the device described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0100] This embodiment provides a message prompting device for a wearable device, such as Figure 5 As shown, including:

[0101] The information acquisition module 501 is used to acquire the user status information and environment status information of the target user.

[0102] The state keyword determination module 502 is used to determine the state keyword of the target user according to the user state information and the environment state information.

[0103] The message prompt mode determination module 503 is used to determine the message prompt mode of the wearable device according to the status keyword and the acquired pending message; wherein the pending message is a message waiting for the user to process, and the message prompt mode represents the message prompt method of the wearable device.

[0104] The message prompt module 504 is used to provide message prompts to the target user according to the message prompt mode.

[0105] In some optional implementations, the information acquisition module 501 includes:

[0106] The data collection unit is used to collect sensor data, where the sensor data is status data collected by the sensor.

[0107] The preprocessing unit is used to preprocess the sensor data to obtain valid data, where the valid data is information that can be used to determine the user status and the environment status.

[0108] The neural network output unit is used to input valid data into a trained preset neural network model to obtain user status information and environmental status information; wherein the input of the preset neural network model is valid data, and the output of the preset neural network model is user status information and environmental status information.

[0109] In some optional implementations, the state keyword determination module 502 includes:

[0110] The information extraction unit is used to extract the user state information and the environment state information to obtain key information; wherein the key information is information representing the motion state of the target user and the environment characteristics.

[0111] The keyword matching unit is used to match the key information with the preset keywords and obtain the status keywords according to the matching results.

[0112] In some optional implementations, the message prompt mode determination module 503 includes:

[0113] The information analysis unit is used to analyze the status keywords and the messages to be processed according to preset rules to determine the mode and paradigm of the wearable device; wherein the mode represents the message presentation mode, and the paradigm represents the form of the message presentation.

[0114] The message prompt mode determination unit is used to combine the modality and the paradigm to determine the message prompt mode of the wearable device.

[0115] In some optional implementations, the message prompt module 504 includes:

[0116] The message prompt unit is used to send the message prompt mode to the data output module, and the data output module is used to provide message prompts to the target user according to the message prompt mode.

[0117] In some optional embodiments, the above device further includes:

[0118] The priority setting module is used to set the rule priority of the preset rule according to the demand information; wherein the demand information is information indicating the user's demand.

[0119] The evaluation module is used to evaluate the message prompt mode according to the artificial intelligence confidence level to determine the accuracy of the message prompt mode.

[0120] The running status determination module is used to obtain device information, which is information indicating the running status of the wearable device; determine the running status of the wearable device according to the device information, and determine the message prompt mode according to the running status.

[0121] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

[0122] The message prompt device of the wearable device in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0123] The embodiment of the present invention also provides a computer device having the above Figure 5 The message prompt device of the wearable device is shown.

[0124] Figure 6 is a schematic diagram of the structure of a computer device provided by an optional embodiment of the present invention, such as Figure 6 As shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components are connected to each other using different buses for communication, and can be installed on a common mainboard or installed in other ways as needed. The processor can process the instructions executed in the computer device, including instructions stored in or on the memory to display the graphical information of the GUI on an external input / output device (such as, a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 6 A processor 10 is taken as an example.

[0125] The processor 10 may be a central processing unit, a network processor or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be a dedicated integrated circuit, a programmable logic device or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic or any combination thereof.

[0126] The memory 20 stores instructions executable by at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiment.

[0127] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely arranged relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0128] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid state drive; the memory 20 may also include a combination of the above types of memory.

[0129] The computer device further comprises a communication interface 30 for the computer device to communicate with other devices or a communication network.

[0130] The embodiment of the present invention also provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium through a network download, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state hard disk, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor, or hardware, the method shown in the above embodiment is implemented.

[0131] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A message prompt method for a wearable device, characterized in that: The method comprises: Obtain user status information and environment status information of the target user; Determining a status keyword of the target user according to the user status information and the environment status information; Determine a message prompt mode of the wearable device according to the status keyword and the acquired pending message; wherein the pending message is a message waiting for user processing, and the message prompt mode represents a message prompt mode of the wearable device; Providing a message prompt to the target user according to the message prompt mode.

2. The method according to claim 1, characterized in that The step of obtaining the user status information and environment status information of the target user includes: Collecting sensor data, where the sensor data is status data collected by the sensor; Preprocessing the sensor data to obtain valid data, where the valid data is information that can be used to determine the user status and the environment status; The valid data is input into a trained preset neural network model to obtain the user status information and the environment status information; wherein the input of the preset neural network model is the valid data, and the output of the preset neural network model is the user status information and the environment status information.

3. The method according to claim 1 or 2, characterized in that: The determining the state keyword of the target user according to the user state information and the environment state information includes: Extracting the user status information and the environment status information to obtain key information; wherein the key information is information indicating the motion status and environment characteristics of the target user; The key information is matched with a preset keyword, and the status keyword is obtained according to the matching result.

4. The method according to claim 1 or 2, characterized in that: The determining of the message prompt mode of the wearable device according to the state keyword and the acquired message to be processed includes: Analyze the state keywords and the to-be-processed messages according to preset rules to determine the mode and paradigm of the wearable device; wherein the mode represents the message presentation mode, and the paradigm represents the form of message presentation; The modality and the paradigm are combined to determine the message prompt mode of the wearable device.

5. The method according to claim 4, characterized in that The method further comprises: The rule priority of the preset rule is set according to the demand information; wherein the demand information is information indicating the user demand.

6. The method according to claim 1 or 2, characterized in that: Providing a message prompt to the target user according to the message prompt mode includes: The message prompt mode is sent to a data output module, and the data output module is used to provide a message prompt to the target user according to the message prompt mode.

7. The method according to claim 1 or 2, characterized in that: The user state information is information reflecting the user's psychological state and movement state, and the environment state information is information about conditions and features in a specific environment or scene.

8. The method according to claim 1 or 2, characterized in that: The state keywords are keywords representing the motion state and environmental characteristics of the target user.

9. The method according to claim 1 or 2, characterized in that: The method further comprises: The message prompt mode is evaluated according to the artificial intelligence confidence level to determine the accuracy of the message prompt mode.

10. The method according to claim 1 or 2, characterized in that: The method further comprises: Acquire device information, where the device information is information indicating the operating status of the wearable device; Determine the operating status of the wearable device according to the device information, and adjust the message prompt mode according to the operating status.

11. A message prompting device for a wearable device, characterized in that: The device comprises: An information acquisition module is used to acquire user status information and environment status information of a target user; A status keyword determination module, used to determine the status keyword of the target user according to the user status information and the environment status information; A message prompt mode determination module, used to determine the message prompt mode of the wearable device according to the state keyword and the acquired pending message; wherein the pending message is a message waiting for the user to process, and the message prompt mode represents the message prompt mode of the wearable device; A message prompt module is used to provide message prompts to the target user according to the message prompt mode.

12. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the message prompt method of the wearable device according to any one of claims 1 to 10 by executing the computer instructions.

13. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the message prompt method for a wearable device according to any one of claims 1 to 10.

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