Control method and device of a seat and seat

Abstract

This application discloses a control method, device, and seat for a chair, belonging to the field of chair technology. The control method includes: acquiring predicted height and weight information of a target object on the seat; wherein the predicted height information is determined based on the target object's historical height information; determining target setting parameters for the seat based on the predicted height and weight information; and adjusting the seat based on the target setting parameters. This seat control method can automatically fine-tune the chair in advance according to the target object's growth trend, eliminating the need for manual adjustment by the user, thus lowering the operational threshold. The adjusted seat parameters can match the target object's body size, improving the user experience.

Description

Technical Field

[0001] This application belongs to the field of seating technology, and in particular relates to a control method, device and seat for a seat. Background Technology

[0002] Children are in a rapid growth and development stage, and ergonomic chairs, as core furniture for children's learning and leisure, need their parameters matched to children's body sizes to ensure correct posture and prevent problems such as scoliosis and myopia. Most children's chairs in related technologies are manually adjustable, requiring frequent adjustments via knobs or wrenches to adapt to the child's growth. This is cumbersome, cannot accurately match the child's body size, and results in a poor user experience. Summary of the Invention

[0003] This invention aims to at least solve one of the technical problems existing in the prior art. To this end, this invention proposes a control method, device, and seat that can automatically fine-tune according to the growth trend of the target object in advance, eliminating the need for manual adjustment by the user, thus lowering the operational threshold. The adjusted seat parameters can match the body size of the target object, improving the user experience.

[0004] In a first aspect, this application provides a method for controlling a seat, including: Obtain the predicted height and weight information of the target object on the seat; wherein the predicted height information is determined based on the historical height information of the target object; Based on the predicted height information and the weight information, the target setting parameters corresponding to the seat are determined; Adjust the seat based on the target setting parameters.

[0005] According to the seat control method provided in the embodiments of this application, the height information in the future period is predicted by the historical height information of the target object, and the target setting parameters of the seat are determined based on the predicted height information and the monitored weight information. It can automatically fine-tune the seat in advance according to the growth trend of the target object without the need for manual adjustment by the user, which reduces the operation threshold. The adjusted seat parameters can match the body size of the target object, which improves the user experience.

[0006] One embodiment of the present application provides a method for controlling a seat, wherein determining target setting parameters corresponding to the seat based on the predicted height information and the weight information includes: Based on the predicted height information, the target height information corresponding to the seat is determined; Based on the weight information, the backrest depth information corresponding to the seat is determined.

[0007] One embodiment of the seat control method of this application, wherein determining the target height information corresponding to the seat based on the predicted height information includes: Based on the predicted height information, the seat height information corresponding to the seat is determined; Based on the seat height information, the armrest height information corresponding to the seat is determined.

[0008] One embodiment of the present application provides a method for controlling a seat, wherein the predicted height information is determined based on the historical height information of the target object, including: Obtain multiple historical height information of the target object within a historical time period; Based on the aforementioned historical height information, determine the height growth rate corresponding to the target object; The predicted height information is obtained based on the height growth rate and the actual height information of the target object.

[0009] One embodiment of the present application provides a method for controlling a seat, wherein the predicted height information is determined based on the historical height information of the target object, including: The height information of the target object is acquired and stored based on the target acquisition frequency; Based on the height information of the target object, determine the historical height information corresponding to the target object; When the target adjustment cycle of the seat is reached, the predicted height information is determined based on the historical height information.

[0010] One embodiment of the present application provides a method for controlling a seat, wherein determining target setting parameters corresponding to the seat based on the predicted height information and the weight information includes: Receive the user's first input; the first input is used to determine the age information of the target object; In response to the first input, the correlation between physiological characteristic information corresponding to the age information and seat setting parameters is obtained; Based on the correlation, the predicted height information, and the weight information, the target setting parameters corresponding to the seat are determined.

[0011] Secondly, this application provides a seat control device, comprising: The first processing module is used to obtain the predicted height and weight information of the target object on the seat; wherein the predicted height information is determined based on the historical height information of the target object; The second processing module is used to determine the target setting parameters corresponding to the seat based on the predicted height information and the weight information; The third processing module is used to adjust the seat based on the target setting parameters.

[0012] According to the control device for the seat provided in the embodiments of this application, the height information of the target object in the future period is predicted by the historical height information of the target object, and the target setting parameters of the seat are determined based on the predicted height information and the monitored weight information. It can automatically fine-tune the seat in advance according to the growth trend of the target object without the need for manual adjustment by the user, which reduces the operation threshold. The adjusted seat parameters can match the body size of the target object, which improves the user experience.

[0013] Thirdly, this application provides a seat, including: a control module for performing the seat control method as described in the first aspect.

[0014] Fourthly, this application provides an electronic device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the seat control method described in the first aspect above.

[0015] Fifthly, this application provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the seat control method as described in the first aspect above.

[0016] In a sixth aspect, this application provides a computer program product, including a computer program that, when executed by a processor, implements the seat control method as described in the first aspect above.

[0017] The above-described one or more technical solutions in the embodiments of this application have at least one of the following technical effects: By predicting the target's height in the future based on the target's historical height information, and determining the target setting parameters of the seat based on the predicted height and monitored weight information, the system can automatically fine-tune the seat in advance according to the target's growth trend without requiring manual adjustment by the user, thus lowering the operational threshold. The adjusted seat parameters can match the target's body size, improving the user experience.

[0018] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0019] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which: Figure 1 This is one of the flowcharts illustrating the seat control method provided in the embodiments of this application; Figure 2 This is a schematic diagram of the module connection of the seat provided in an embodiment of this application; Figure 3 This is a second schematic flowchart of the seat control method provided in the embodiments of this application; Figure 4 This is a schematic diagram of the structure of the control device for the seat provided in the embodiments of this application; Figure 5 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0020] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0021] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class and the number of objects is not limited; for example, a first object can be one or more. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0022] The following description, in conjunction with the accompanying drawings, details the seat control method, seat control device, electronic device, and readable storage medium provided in this application through specific embodiments and application scenarios.

[0023] The control method for the seat can be applied to the terminal, and can be executed by the hardware or software in the terminal.

[0024] The seat control method provided in this application embodiment can be executed by an electronic device or a functional module or entity in an electronic device that can implement the seat control method. The electronic devices mentioned in this application embodiment include, but are not limited to, mobile phones, tablets, computers, cameras, and wearable devices. The seat control method provided in this application embodiment will be described below using an electronic device as the execution subject.

[0025] like Figure 1 As shown, the control method for the seat includes steps 110, 120, and 130.

[0026] In this embodiment, the seat may include a control module (main control unit) for performing the methods such as steps 110 to 130.

[0027] Step 110: Obtain the predicted height and weight information of the target object on the seat; In this step, the target group can be children in the growth and development stage, such as children aged 3-12, or other types of people; this application does not limit this.

[0028] Predicted height information is an estimate of a child's height at a future point in time (such as the following week). The predicted height information is determined based on the target individual's historical height information.

[0029] Historical height information refers to height data measured multiple times within a certain period in the past. For example, an infrared height sensing module can be installed on the seat back frame (e.g., at the top front of the seat back). Figure 2 As shown, the infrared height sensing module can be connected to the control module. The control module can acquire the height data of the target object collected by the infrared height sensing module. The sampling frequency of the infrared height sensing module can be once a day or once every two days, which is not limited in this application. The emission angle of the infrared height sensing module can be 30° or other angles (such as 35° or 40°, etc.), and the ranging range can be 50-150cm, such as 50cm, 70cm, 100cm or 150cm, etc. The measurement accuracy is ±0.5cm, or other ranging ranges and measurement accuracies can be used, which is not limited in this application. The infrared height sensing module can detect the height data of the target object in a non-contact manner.

[0030] The control module can store height data for multiple consecutive days (such as the last 7 days) as historical height information.

[0031] The weight information refers to the current weight data of the target object. For example, a weight sensing module can be installed on the surface of the chair seat. Figure 2 As shown, the weight sensing module can be connected to the control module. The weight sensing module can include a 4-point pressure sensor array. When the target object is detected to be seated based on the pressure sensor array, the control module can control the weight sensing module to collect weight information. The detection range of the weight sensing module can be 10-60kg, and the accuracy can be ±0.1kg. Alternatively, it can have other detection ranges and accuracies, which are not limited in this application.

[0032] Weight information can be used to correct for changes in body dimensions (such as sitting hip width) caused by weight changes.

[0033] In actual operation, the control module can obtain height data from the infrared height sensor module every day and store it locally or in the child parameter database. When the target object is detected to be seated, the control module can obtain weight data from the weight sensor module.

[0034] Step 120: Based on the predicted height and weight information, determine the target setting parameters for the seat; In this step, the target setting parameters are the various mechanical parameters that need to be set to make the seat best fit the future body shape of the target object. The target setting parameters may include seat height, backrest depth, and armrest height.

[0035] The control module can call the height-weight-body size correlation model stored in the children's parameter database. This model can be built based on a large amount of children's ergonomic data. It can combine predicted height and weight information to calculate the appropriate body size, and then convert it into specific target setting parameters according to ergonomic formulas.

[0036] Step 130: Adjust the seat based on the target settings parameters.

[0037] In this step, the seat's actuator can be driven to bring the seat's mechanical parameters to the target set parameters.

[0038] For example, the control module can generate control commands and send them to the chair height adjustment motor, the backrest depth adjustment motor, and the armrest height adjustment motor. The chair height adjustment motor can drive the adjustment slide rail at the bottom of the chair body to adjust the chair height to the target height. The backrest depth adjustment motor can drive the adjustment slide groove on the backrest frame to adjust the backrest depth to the target backrest depth. The armrest height adjustment motor can drive the armrest lifting mechanism to adjust the armrest height to the target armrest height.

[0039] The motor can be a DC geared motor, with an adjustment accuracy of ±1cm, or other values. During adjustment, the motor current and resistance can be monitored. If the resistance exceeds a safety threshold (e.g., 50N), the motor can be stopped to prevent pinching injuries, thus achieving safe adjustment.

[0040] During the research and development process, the inventors discovered that some related technologies involve manually adjustable chairs that rely on the user's subjective judgment. This makes it easy for users to forget or be busy, resulting in untimely adjustments that lag behind the child's growth rate and cause poor sitting posture to persist for more than one month per instance. Furthermore, manual adjustment requires users to master ergonomic parameters, but most users lack the professional knowledge to adjust the chairs, resulting in deviations from the standard parameters and a high error rate. There are also related technologies for seats that are adjusted based on fixed gears. Multiple fixed size gears can be preset (such as suitable for 3-5 years old and 6-8 years old). Users select gears according to their age. The parameters between gears have a large range (such as a difference of 5-8cm in seat height), which cannot accurately adapt to the monthly growth changes of children (such as a child's height increasing by 1cm in 1 month).

[0041] In this application, the height information of the target object is predicted, and the adjustment parameters of the seat are determined based on the predicted height information and the monitored weight information. This can adapt to the growth changes of children, the adjustment is more accurate, and there is no need for manual adjustment by the user. The degree of automation is high and the operation threshold is reduced. By monitoring the target subject's weight information and considering the correlation between weight information and body size (e.g., the difference in hip width between children weighing 20kg and 30kg can be 3-5cm when sitting), the target setting parameters are determined in combination with the weight information, which improves the accuracy of the fit between the target setting parameters and the target subject's body size.

[0042] According to the seat control method provided in the embodiments of this application, the height information in the future period is predicted by the historical height information of the target object, and the target setting parameters of the seat are determined based on the predicted height information and the monitored weight information. It can automatically fine-tune the seat in advance according to the growth trend of the target object without the need for manual adjustment by the user, which reduces the operation threshold. The adjusted seat parameters can match the body size of the target object, which improves the user experience.

[0043] In some embodiments, step 120 may further include: Based on the predicted height information, the target height information corresponding to the seat is determined; Based on weight information, determine the corresponding backrest depth information of the seat.

[0044] In this embodiment, the target height information may include seat height information and armrest height information.

[0045] Determining the target height based on predicted height information ensures that the target's feet can be placed flat on the ground, knees bent at 90°, and forearms can hang naturally with shoulders relaxed.

[0046] Weight information affects hip width and back thickness. Based on weight information, the backrest depth information can be calculated to fit the back curve of the target person and provide uniform support.

[0047] For example, the sitting hip width can be calculated based on weight information: sitting hip width = weight information × 0.12 + 5cm; the backrest depth information can be determined based on the sitting hip width and the backrest depth compensation value: backrest depth information = sitting hip width - 3cm.

[0048] By integrating two dimensions (height and weight information) for calculation, the accuracy of matching parameters such as the chair back has been improved.

[0049] In some embodiments, determining the target height information corresponding to the seat based on the predicted height information may include: Based on the predicted height information, determine the corresponding seat height information; Based on the seat height information, determine the corresponding armrest height information.

[0050] In this embodiment, the lower leg length of the target object can be calculated based on the predicted height information, and then the chair height compensation value can be determined according to the ergonomic formula to determine the seat height information.

[0051] For example, the chair height compensation value can be determined to be 2cm, or it can be other values, which are not limited in this application; the lower leg length of the target object can be calculated based on the following formula: lower leg length = predicted height information × 0.25; the seat height information can be determined based on the following formula: seat height information = lower leg length + 2cm.

[0052] Based on a preset ratio between seat height information and armrest height information, the armrest height information can be calculated as: armrest height information = seat height information × 0.5. This allows the armrest height to move in tandem with the seat height information, automatically maintaining the optimal ratio without requiring separate settings, thus improving the completeness and ease of use of automation.

[0053] like Figure 3 As shown, in some embodiments, the predicted height information is determined based on the target object's historical height information, and may include: Obtain multiple historical height information of the target object within a historical time period; Based on multiple historical height data, determine the corresponding height growth rate of the target object; Based on the height growth rate and the actual height information of the target object, the predicted height information is obtained.

[0054] In this embodiment, the historical period may include multiple natural days. For example, the historical period may include 6 days or 7 days, or it may include other numbers of natural days. It can be customized based on user needs, and this application does not limit it.

[0055] For example, the control module can retrieve height data Ht1, Ht2, ..., Ht7 from the database for seven consecutive days. Using data from multiple consecutive days can smooth out the error of a single day's measurement and reflect the true growth trend.

[0056] Based on multiple historical height information and the length of historical periods, the height growth rate can be calculated as: ΔH = (Ht7 - Ht1) / 7, with the unit being cm / day. The height growth rate is used to characterize the recent average growth rate of the target object.

[0057] The actual height information can be the height Ht7 obtained from the most recent measurement (e.g., the 7th day), and then linear extrapolation can be performed to predict the height: predicted height information = Ht7 + ΔH × 7, that is, the height information one week from now can be predicted.

[0058] For example, if a person's height increases by 0.7cm this week (ΔH=0.1cm / day), the control module can predict that the height will increase by another 0.7cm next week and calculate the seat parameters for next week based on the predicted height information, thus enabling fine-tuning a week in advance and solving the problem of the seat becoming unsuitable immediately after adjustment.

[0059] In some embodiments, after determining the height growth rate of the target object based on multiple historical height information, the method may further include: If the height growth rate is outside the preset range, output an abnormal growth warning message.

[0060] In this embodiment, the preset range can be a user-defined range, for example, it can be [0.5cm / week, 2.0cm / week], or it can be other intervals, which are not limited in this application.

[0061] For example, if the calculated height growth rate is less than 0.5 cm / week or greater than 2.0 cm / week, it can be judged as an abnormal growth.

[0062] Growth abnormality warning information can include voice warning information or text warning information. For example, warning information can be pushed to the user terminal through the wireless communication module integrated in the control module to remind the user to pay attention to the child's growth and development.

[0063] Continue to refer to Figure 3 In some embodiments, the predicted height information is determined based on the target object's historical height information, and may include: Acquire and store the height information of the target object based on the target acquisition frequency; Based on the target object's height information, determine the target object's corresponding historical height information; Once the target adjustment cycle of the seat is achieved, the predicted height information is determined based on historical height information.

[0064] In this embodiment, the target acquisition frequency can be once a day or once every two days, etc., and can be customized based on user needs. This application does not impose any limitations on this.

[0065] For example, the infrared height sensor module can be controlled once a day to automatically measure the height of the target object. The height information obtained from each measurement can be stored based on the time of collection. For example, the height information can be stored in an array or database table. A series of height data sorted by time can form historical height information for analyzing growth trends.

[0066] The target adjustment cycle can be a set fixed automatic adjustment time interval. For example, the target adjustment cycle can be 7 days, 10 days, or 15 days (e.g., for users aged 12-18, the target adjustment cycle can be set to a fast cycle of 7 days and a slow cycle of 15 days; for users aged 0-3, the target adjustment cycle can be set to one month). Before the weekly adjustment time (e.g., Sunday 20:00), the control module can continuously collect the target object's height data; when the weekly adjustment time arrives, it determines the predicted height information based on historical height information and determines the target setting parameters based on the predicted height information to adjust the seat.

[0067] According to the seat control method provided in the embodiments of this application, by periodically collecting height data to form a historical information set, and calculating the growth trend of the target object based on this, a forward-looking dynamic adaptation can be achieved, solving the problem of adjustment lag and improving the adaptation accuracy and personalization level.

[0068] like Figure 3 As shown, in some embodiments, step 120 may include: Receive the user's first input; In response to the first input, the correlation between physiological characteristic information corresponding to age information and seat setting parameters is obtained; Based on correlation, predicted height and weight information, the target setting parameters for the seat are determined.

[0069] In this embodiment, the first input can be used to determine the age information of the target object.

[0070] The first input can be in at least one of the following ways: Firstly, the first input can be a touch operation, including but not limited to click, swipe, and press operations.

[0071] In this embodiment, receiving the user's first input can be receiving the user's touch operation on the display area of ​​the operation display screen integrated on the seat body.

[0072] To reduce the rate of user error, the effective area of ​​the first input can be limited to a specific area, such as the upper middle area of ​​the "Initial Settings" interface; or, while the main menu interface is displayed, a "Child Age Setting" target control can be displayed on the current interface, and touching the target control will enter the age input interface and enable the first input; or the first input can be set to a continuous tap operation on the display area within a target time interval to wake up the age setting interface and prevent children from accidentally touching it.

[0073] Secondly, the first input can be a physical button input.

[0074] In this embodiment, a physical button corresponding to the age setting function is provided on the side of the operation display screen or the inside of the seat armrest to receive the user's first input. This can be receiving the user's operation of pressing the corresponding physical button; the first input can also be a combination operation of pressing the "+" and "-" physical buttons at the same time to enter or confirm the age setting mode.

[0075] Thirdly, the first input can be voice input.

[0076] In this embodiment, the control module can be integrated with or connected to a voice recognition module. When the terminal receives a voice message such as "Set age to five years old", it can trigger the display of an age confirmation interface and complete the input after the user confirms it a second time.

[0077] Of course, in other embodiments, the first input may also be in other forms, including but not limited to remote character input by a user mobile terminal connected via a wireless communication module. The specific form can be determined according to actual needs, and this application embodiment does not limit it.

[0078] In actual implementation, for example, when using it for the first time, the user can input the target object's current age by operating the display screen.

[0079] Users of different ages may have different body proportions. The control module can retrieve the most suitable basic correlation model (such as the coefficient of height and lower leg length) from the children's parameter database based on the input age.

[0080] The personalized association model is combined with the calculated predicted height information and the real-time collected weight information to perform parameter calculations. For example, different coefficients can be used for calculations for objects of different ages, making the adaptation more personalized.

[0081] In some embodiments, after step 130, the method may further include: Receive a second input from the user; the second input is used to update the target setting parameters. In response to the second input, the calculated coefficients in the association are updated according to the updated target setting parameters and stored in the child parameter database.

[0082] In this embodiment, after adjusting the seat based on the target setting parameters, if the user feels uncomfortable, they can manually fine-tune the seat height, backrest depth, and armrest height by operating the display screen.

[0083] Once the user confirms that the manually modified parameters are in a comfortable state, the updated target settings can be saved.

[0084] Based on the updated target setting parameters, calculation coefficients that better match the individual characteristics of the user can be derived (for example, the new lower leg length coefficient = (H chair' - 2) / H predicted, where H chair' is the updated seat height information and H predicted is the predicted height information), and the child's exclusive association model in the child parameter database can be updated accordingly.

[0085] In this application, by setting up a feedback learning mechanism, the seat adjustment system can be made more precise, achieving personalized adaptation and optimization.

[0086] In actual implementation, such as Figure 3 As shown, upon first use, the child's initial age can be input via the display screen, and the control module can call the basic association model in the child's parameter database. When the child is detected sitting down, the infrared height sensor module and weight sensor module collect the initial height H0 and weight W0, and the control module calculates the initial adaptation parameters: chair height H_chair = (H0 × 0.25) + 2cm, backrest depth D_back = (W0 × 0.12 + 5cm) - 3cm, armrest height H_armrest = H_chair × 0.5, driving each motor to complete the initial adjustment.

[0087] The weight sensor module can automatically collect the child's real-time weight Wt each time the child sits down; The infrared height sensor module can collect real-time height (Ht) at a fixed time each day (e.g., 18:00) and transmit the data to the control module.

[0088] The control module can compare the height data of the past 7 days (Ht1-Ht7) and calculate the weekly height growth rate ΔH=(Ht7-Ht1) / 7; it can predict the height of the next week based on ΔH, Hpredict=Ht7+ΔH×7, and combine it with the real-time weight Wt to ​​calculate the adaptation parameters for the next week: Hchairpredict=(Hpredict×0.25)+2cm, Dbackpredict=(Wt×0.12+5cm)-3cm, Harmpredict=Hchairpredict×0.5.

[0089] The control module can automatically adjust the following at 20:00 every Sunday (when no children are using the chair): the chair height adjustment motor drives the seat to rise and fall to H chair position, the backrest depth adjustment motor drives the backrest to slide to D back position, and the armrest height adjustment motor drives the armrest to rise and fall to H armrest position. After the adjustment is completed, the operation display screen will show "Adaptation completed this week" and the current parameters.

[0090] If a height growth rate ΔH > 2cm (abnormally rapid growth) or ΔH < 0.5cm (abnormally slow growth) is detected, a warning message can be sent to the parent's APP via the wireless communication module. Parents can manually modify parameters via the display screen. After modification, the system will automatically update the child's parameter database and optimize the correlation model.

[0091] In some embodiments, the chair can be controlled in conjunction with the study desk and the eye-protection lamp.

[0092] In this embodiment, for example, the parameters of the chair, the height of the study desk, and the illuminance and color temperature of the eye-protection lamp can be adjusted in a coordinated manner based on growth prediction data.

[0093] For example, the height of the tables and chairs can be adjusted in a ratio of 1:0.8 to the height of the seats, and the eye-protection lamps can dynamically adjust the illuminance and color temperature according to the child's sitting posture and height to avoid the problem of direct light caused by changes in height.

[0094] In some embodiments, when the seat is in entertainment mode, such as when a target is detected using the seat to play games / watch movies, the backrest angle can be adjusted to 100°-110°, the lumbar support strength can be reduced by 20%, matching the body curve in a relaxed state, while retaining the adjustment logic of the growth cycle.

[0095] In some embodiments, sitting pressure data and daily usage time of the target object can be collected. If it is determined that the target object's sitting posture is incorrect based on the sitting pressure data and daily usage time, the position of the lumbar support can be adjusted to correct the target object's sitting posture and the adjustment range of subsequent growth prediction can be corrected.

[0096] In some embodiments, if the predicted growth rate is detected to deviate from the normal range of ±20% for the same age group, an early warning can be pushed to the user terminal, suggesting that parents take the child for a physical examination and temporarily adjust the regulation strategy (such as slowing down the regulation pace).

[0097] The seat control method provided in this application can be executed by a seat control device. This application uses the example of a seat control device executing the seat control method to illustrate the seat control device provided in this application.

[0098] This application also provides a seat control device.

[0099] like Figure 4 As shown, the control device for the seat includes: a first processing module 410, a second processing module 420, and a third processing module 430.

[0100] The first processing module 410 is used to obtain the predicted height and weight information of the target object on the seat; wherein, the predicted height information is determined based on the historical height information of the target object; The second processing module 420 is used to determine the target setting parameters corresponding to the seat based on the predicted height and weight information; The third processing module 430 is used to adjust the seat based on the target setting parameters.

[0101] According to the control device for the seat provided in the embodiments of this application, the height information of the target object in the future period is predicted by the historical height information of the target object, and the target setting parameters of the seat are determined based on the predicted height information and the monitored weight information. It can automatically fine-tune the seat in advance according to the growth trend of the target object without the need for manual adjustment by the user, which reduces the operation threshold. The adjusted seat parameters can match the body size of the target object, which improves the user experience.

[0102] In some embodiments, the second processing module 420 may also be used for: Based on the predicted height information, the target height information corresponding to the seat is determined; Based on weight information, determine the corresponding backrest depth information of the seat.

[0103] In some embodiments, the second processing module 420 may also be used for: Based on the predicted height information, determine the corresponding seat height information; Based on the seat height information, determine the corresponding armrest height information.

[0104] In some embodiments, the control device for the seat may further include a fourth processing module for: Obtain multiple historical height information of the target object within a historical time period; Based on multiple historical height data, determine the corresponding height growth rate of the target object; Based on the height growth rate and the actual height information of the target object, the predicted height information is obtained.

[0105] In some embodiments, the fourth processing module can also be used for: Acquire and store the height information of the target object based on the target acquisition frequency; Based on the target object's height information, determine the target object's corresponding historical height information; Once the target adjustment cycle of the seat is achieved, the predicted height information is determined based on historical height information.

[0106] In some embodiments, the second processing module 420 may also be used for: Receive the user's first input; the first input is used to determine the target's age information. In response to the first input, the correlation between physiological characteristic information corresponding to age information and seat setting parameters is obtained; Based on correlation, predicted height and weight information, the target setting parameters for the seat are determined.

[0107] The control device for the seat in this embodiment can be an electronic device or a component within an electronic device, such as an integrated circuit or a chip. The electronic device can be a terminal or other devices besides a terminal. For example, the electronic device can be a mobile phone, tablet computer, laptop computer, PDA, in-vehicle electronic device, mobile internet device (MID), augmented reality (AR) / virtual reality (VR) device, robot, wearable device, ultra-mobile personal computer (UMPC), netbook, or personal digital assistant (PDA), etc. It can also be a server, network attached storage (NAS), personal computer (PC), television (TV), ATM, or self-service machine, etc. This embodiment does not specifically limit the device.

[0108] The seat control device in this embodiment can be a device with an operating system. This operating system can be a Microsoft (Windows) operating system, an Android operating system, an iOS operating system, or other possible operating systems; this embodiment does not specifically limit the specific operating system.

[0109] The seat control device provided in this application embodiment can achieve... Figures 1 to 3 The various processes implemented in the method implementation examples will not be described again here to avoid repetition.

[0110] In some embodiments, this application also provides a seat, including a control module, which is used to execute the seat control method described in any of the above embodiments.

[0111] like Figure 2 As shown, in some embodiments, the seat may further include: a seat body, a backrest frame, an armrest assembly, an infrared height sensing module, a weight sensing module, an adjustment execution module, an operation display screen, a wireless communication module, and a power module.

[0112] In this embodiment, the main body of the chair seat can be made of environmentally friendly ABS material (or other materials, which are not limited in this application), the bottom is provided with a chair height adjustment slide rail (the adjustment range can be 30-50cm), and the top is integrated with a weight sensing module.

[0113] The backrest frame can be made of elastic nylon (or other materials, which are not limited in this application), and the inner side can be provided with a lumbar support curve (the radius of curvature can be 80-120mm, or other ranges, which are not limited in this application). The backrest can be provided with a backrest depth adjustment groove (the adjustment range can be 25-40cm, or other ranges, which are not limited in this application).

[0114] The handrail assembly may include two height-adjustable handrails, with a handrail height adjustment motor connected to the bottom (adjustment range 15-25cm, or other ranges, which are not limited in this application).

[0115] The infrared height sensor module can be installed at the top front of the chair back.

[0116] The weight sensor module can be integrated into the surface of the chair seat.

[0117] The adjustment module may include a chair height adjustment motor, a backrest depth adjustment motor, and an armrest height adjustment motor.

[0118] The operation display screen can be a 2.4-inch touch screen (or other sizes, which are not limited in this application), and can be used to display current height, weight, seat parameters, and next adjustment time, etc.

[0119] The wireless communication module can be used to synchronize growth data of the target object to the user terminal.

[0120] The power supply module can be connected to the control module, infrared height sensor module, weight sensor module, adjustment and execution module, operation display screen and wireless communication module respectively, to provide power to each module.

[0121] In some embodiments, such as Figure 5 As shown, this application embodiment also provides an electronic device 500, including a processor 501, a memory 502, and a computer program stored in the memory 502 and executable on the processor 501. When the program is executed by the processor 501, it implements the various processes of the above-described seat control method embodiment and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0122] It should be noted that the electronic devices in the embodiments of this application include the mobile electronic devices and non-mobile electronic devices described above.

[0123] This application also provides a non-transitory computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it implements the various processes of the above-described seat control method embodiments and achieves the same technical effect. To avoid repetition, it will not be described again here.

[0124] The processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk.

[0125] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described seat control method.

[0126] The processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk.

[0127] This application embodiment also provides a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the various processes of the above-described seat control method embodiment and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0128] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a system-on-a-chip, system chip, chip system, or system-on-a-chip, etc.

[0129] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0130] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the related technology, can be embodied in the form of a computer software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0131] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

[0132] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0133] Although embodiments of this application have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of this application, the scope of which is defined by the claims and their equivalents.

Claims

1. A method for controlling a seat, characterized in that, include: Obtain the predicted height and weight information of the target object on the seat; wherein the predicted height information is determined based on the historical height information of the target object; Based on the predicted height information and the weight information, the target setting parameters corresponding to the seat are determined; Adjust the seat based on the target setting parameters.

2. The seat control method according to claim 1, characterized in that, The step of determining the target setting parameters for the seat based on the predicted height information and the weight information includes: Based on the predicted height information, the target height information corresponding to the seat is determined; Based on the weight information, the backrest depth information corresponding to the seat is determined.

3. The seat control method according to claim 2, characterized in that, The step of determining the target height information corresponding to the seat based on the predicted height information includes: Based on the predicted height information, the seat height information corresponding to the seat is determined; Based on the seat height information, the armrest height information corresponding to the seat is determined.

4. The method for controlling a seat according to any one of claims 1-3, characterized in that, The predicted height information is determined based on the target object's historical height information, including: Obtain multiple historical height information of the target object within a historical time period; Based on the aforementioned historical height information, determine the height growth rate corresponding to the target object; The predicted height information is obtained based on the height growth rate and the actual height information of the target object.

5. The method for controlling a seat according to any one of claims 1-3, characterized in that, The predicted height information is determined based on the target object's historical height information, including: The height information of the target object is acquired and stored based on the target acquisition frequency; Based on the height information of the target object, determine the historical height information corresponding to the target object; When the target adjustment cycle of the seat is reached, the predicted height information is determined based on the historical height information.

6. The method for controlling a seat according to any one of claims 1-3, characterized in that, The step of determining the target setting parameters for the seat based on the predicted height information and the weight information includes: Receive the user's first input; the first input is used to determine the age information of the target object; In response to the first input, the correlation between physiological characteristic information corresponding to the age information and seat setting parameters is obtained; Based on the correlation, the predicted height information, and the weight information, the target setting parameters corresponding to the seat are determined.

7. A control device for a seat, characterized in that, include: The first processing module is used to obtain the predicted height and weight information of the target object on the seat; wherein the predicted height information is determined based on the historical height information of the target object; The second processing module is used to determine the target setting parameters corresponding to the seat based on the predicted height information and the weight information; The third processing module is used to adjust the seat based on the target setting parameters.

8. A type of seat, characterized in that, include: A control module for performing the control method of the seat as described in any one of claims 1-6.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the seat control method as described in any one of claims 1-6.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the seat control method as described in any one of claims 1-6.

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