Sitting posture detection method, sitting posture detection device and storage medium

Abstract

The invention discloses a sitting posture detection method, a sitting posture detection device and a storage medium, and relates to the technical field of the Internet, the sitting posture detection method is applied to the sitting posture detection device, the sitting posture detection device comprises a detection circuit and a detection basic unit, and the sitting posture detection method comprises the steps of obtaining impedance detection data detected by the detection circuit, the impedance detected by the detection circuit changes along with the deformation degree of the detection basic unit; determining the impedance difference between the current impedance and the standard impedance information according to the impedance detection data; and if the impedance difference meets the abnormal sitting posture impedance difference condition, judging that the current sitting posture is a non-standard sitting posture. The impedance information of the detection basic unit in the deformation state is acquired in real time, and analysis is performed based on the difference between the impedance information and the standard impedance information corresponding to the standard sitting posture, so that whether the current coordinate is the non-standard sitting posture or not is accurately distinguished, and the sitting posture detection accuracy is improved.

Description

Technical Field

[0001] This application relates to the field of Internet technologies, and in particular, to a sitting posture detection method, a sitting posture detection device, and a storage medium. Background Art

[0002] Scoliosis is a common spinal deformity disease, mainly manifested as the spine curving laterally to one side, making the back present a C-shaped or S-shaped curve. Prolonged incorrect sitting postures such as crossing legs can easily cause scoliosis.

[0003] In related sitting posture detection methods, sitting postures are usually detected through pressure sensors set on the seat. When detecting sitting postures based on the pressure sensing method, the detected data is interfered by factors such as the user's weight, sitting posture habits, and the sensitivity and distribution of the sensors, resulting in errors in the data collected by the sensors and affecting the accuracy of sitting posture detection.

[0004] The above content is only used to assist in understanding the technical solution of this application, and does not represent an admission that the above content is prior art. Summary of the Invention

[0005] The main objective of this application is to provide a sitting posture detection method, a sitting posture detection device, and a storage medium, aiming to solve the technical problem of low detection accuracy in existing sitting posture detection methods.

[0006] To achieve the above objective, this application proposes a sitting posture detection method, which is applied to a sitting posture detection device. The sitting posture detection device includes a detection circuit and a detection basic unit. The method includes: Obtain impedance detection data detected by the detection circuit, where the impedance detected by the detection circuit changes following the deformation degree of the detection basic unit; Determine the impedance difference between the current impedance and the standard impedance information according to the impedance detection data; If the impedance difference meets the abnormal sitting posture impedance difference condition, determine that the current sitting posture is a non-standard sitting posture.

[0007] In an embodiment, before the step of determining the impedance difference between the current impedance and the standard impedance information according to the impedance detection data, the method further includes: Determine the target clothing type associated with the current stage according to the impedance detection data; Use the impedance information corresponding to the target clothing type as the standard impedance information.

[0008] In an embodiment, the step of determining the target clothing type associated with the current stage according to the impedance detection data includes: Determine the matching degree between the impedance detection data and the impedance information associated with each clothing type; Determine the target clothing type associated with the current stage according to the matching degree.

[0009] In one embodiment, the sitting posture detection method further includes: In the user setting stage, when the user sits down in the standard sitting posture and wears the clothing corresponding to each clothing type, obtain the impedance information detected by the detection circuit. Associate and save the mapping relationship between the impedance information and the clothing type.

[0010] In one embodiment, the sitting posture detection device includes a human body detection module. After the step of obtaining the impedance detection data detected by the detection circuit and the impedance detected by the detection circuit changes with the deformation degree of the detection basic unit, it further includes: Determine the deformation detection result of the detection basic unit according to the detection data obtained by the human body detection module. If the deformation detection result is that there is a human body, execute the step of determining the impedance difference between the current impedance and the standard impedance information according to the impedance detection data.

[0011] In one embodiment, the sitting posture detection device includes a seat cushion and a backrest. The step of determining the impedance difference between the current impedance and the standard impedance information according to the impedance detection data includes: Determine the seat cushion impedance difference and the backrest impedance difference between the current impedance and the standard impedance information according to the impedance detection data. The step of determining that the current sitting posture is a non-standard sitting posture if the impedance difference meets the abnormal sitting posture impedance difference condition includes: If the seat cushion impedance difference and the backrest impedance difference meet the abnormal sitting posture impedance difference condition, determine that the current sitting posture is a non-standard sitting posture.

[0012] In one embodiment, before the step of determining the seat cushion impedance difference and the backrest impedance difference between the current impedance and the standard impedance information according to the impedance detection data, it further includes: Obtain the human body detection result of the seat cushion. If the human body detection result is that there is a human body, execute the step of determining the seat cushion impedance difference and the backrest impedance difference between the current impedance and the standard impedance information according to the impedance detection data.

[0013] In one embodiment, after the step of determining that the current sitting posture is a non-standard sitting posture if the impedance difference meets the abnormal sitting posture impedance difference condition, it further includes: If the duration of the non-standard sitting posture is greater than the preset duration, determine the sitting posture adjustment action associated with the non-standard sitting posture. Output the action prompt corresponding to the sitting posture adjustment action.

[0014] In addition, to achieve the above object, the present application further provides a sitting posture detection device, where the sitting posture detection device includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, and the computer program is configured to implement the steps of the sitting posture detection method as described above.

[0015] In addition, to achieve the above object, the present application further provides a storage medium, where the storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium, and when the computer program is executed by a processor, the steps of the sitting posture detection method as described above are implemented.

[0016] One or more technical solutions proposed by the present application have at least the following technical effects: By obtaining the impedance detection data detected by the detection circuit when the detection basic unit is in a deformed state, then analyzing and comparing the difference between the impedance detection data and the standard impedance information in the standard sitting posture, and when the impedance difference meets the abnormal sitting posture impedance difference condition, it is determined that the sitting posture in the current state is a non-standard sitting posture. Based on this, by obtaining the impedance information of the detection basic unit in the deformed state in real time and analyzing the difference from the pre-stored impedance characteristics in the standard sitting posture, the standard and non-standard sitting posture states can be accurately distinguished. Compared with the traditional detection methods relying on visual recognition or static pressure sensing, the present application directly associates the physical deformation through the impedance response characteristics, avoiding the misjudgment problems caused by environmental light interference, clothing occlusion, or user movement inertia, and improving the accuracy of sitting posture detection. Description of the Drawings

[0017] The drawings here are incorporated into the specification and form a part of this specification, showing embodiments consistent with the present application, and are used together with the specification to explain the principles of the present application.

[0018] To more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0019] Figure 1 It is a schematic structural diagram of the sitting posture detection device of the present application; Figure 2 It is a fabric schematic diagram when the detection basic unit is tissue; Figure 3 It is a schematic diagram of the fabric lines forming the fabric; Figure 4 It is a detection schematic diagram of the seat cushion and backrest of the seat; Figure 5Schematic flow chart provided for the first embodiment of the sitting posture detection method of this application; Figure 6 Schematic flow chart provided for the second embodiment of the sitting posture detection method of this application; Figure 7 Optional schematic flow chart after combining various embodiments of the sitting posture detection method of this application; Figure 8 Schematic diagram of the device structure of the hardware operating environment involved in the sitting posture detection method in the embodiments of this application.

[0020] The realization of the purpose, functional features, and advantages of this application will be further described with reference to the embodiments and the accompanying drawings. Detailed implementation manners

[0021] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of this application and are not used to limit this application.

[0022] The main solution of the embodiments of this application is: obtaining impedance detection data detected by a detection circuit, where the impedance detected by the detection circuit changes following the deformation degree of a detection basic unit; Determining the impedance difference between the current impedance and the standard impedance information according to the impedance detection data; If the impedance difference satisfies the abnormal sitting posture impedance difference condition, determining that the current sitting posture is a non-standard sitting posture.

[0023] In this embodiment, for the convenience of description, the sitting posture detection device is used as the execution subject for elaboration below.

[0024] Scoliosis is a common spinal deformity disease, mainly manifested as the spine curving laterally to one side, making the back present a C-shaped or S-shaped curve. Long-term incorrect sitting postures such as crossing legs can easily cause scoliosis. With the change of people's living and production methods, closed, static, and long-term office work has become the normal state of daily work. Most users are difficult to maintain a good sitting posture during long-term sedentary, resulting in deformation and excessive pressure of the soft tissues of the waist and neck, thus increasing the incidence of musculoskeletal system diseases such as scoliosis, cervical spondylosis, and lumbar and back muscle strain.

[0025] In related detection methods, sitting posture is usually detected through pressure sensors set on the seat. When detecting sitting posture based on the pressure sensing method, the detection data is interfered by factors such as the user's weight, sitting posture habits, and the sensitivity and distribution of the sensors, resulting in errors in data collection by the sensors and affecting the accuracy of sitting posture detection.

[0026] Therefore, the present application provides a solution, which accurately distinguishes between standard and non-standard sitting postures by obtaining in real time the impedance information of the detection basic unit in a deformed state and analyzing the difference between it and the pre-stored impedance characteristics in the standard sitting posture.

[0027] To better understand the technical solution of the present application, the following will be described in detail in conjunction with the accompanying drawings of the specification and specific embodiments.

[0028] A sitting posture detection device generally consists of a data acquisition module, a microprocessor, a notification module, and a human body detection module. The seat can be used as a sitting posture detection device. As an optional sitting posture detection device, when the human body detection module is a heat radiation acquisition module, the composition structure of the sitting posture detection device is as Figure 1 shown. Among them, the data acquisition module is composed of multiple detection basic units, preferably fabric detection basic units, and a seat cushion of the sitting posture detection device is formed by knitting multiple fabric detection basic units. The microprocessor is composed of a microprocessor such as a single-chip microcomputer. The notification module can be a speaker or a wireless terminal connected to the seat, which is used to remind and record the sitting posture data of the user. When the human body detection module is a heat radiation acquisition module, it distinguishes between people and objects by detecting the heat radiation of the human body, and this module is assembled in the middle of the fabric. In addition, the human body detection module can also be other detection devices for distinguishing between people and objects, which are not limited in the present application. By accurately distinguishing between living and non-living force application targets in the sitting posture detection device through the human body detection module, non-human interference misjudgment is avoided, and the accuracy of sitting posture detection is improved.

[0029] Furthermore, the detection basic unit of the data acquisition module is the core sensing component in the sitting posture detection device, usually a flexible sensor module (such as conductive fabric, piezoresistive film, or bioimpedance electrode) embedded in the seat. Among them, when the detection basic unit is a fabric detection basic unit, the fabric detection basic unit is as Figure 2As shown, each independent fabric detection basic unit is formed by two fabric lines crossing each other. Each fabric has a circuit inside, and two of them form a differential line, and the external output impedance reflects the degree of extrusion. It can be understood that fine conductive wires are embedded inside the fabric lines to form conductors. When two conductive fabric lines cross and wind around each other, a pair of differential lines is formed. In this way, differential lines are formed by pairwise crossing between multiple fabric lines to form an output impedance. When the fabric is externally extruded, the degree of extrusion between the crossed fabric lines wound on the transmission line changes, resulting in a change in the output impedance. In the non-extruded state, the output impedance is infinite, equivalent to an open circuit. In the severely extruded state, the output impedance is infinitesimal, equivalent to a short circuit. The normal extrusion belongs to the intermediate state between non-extrusion and severe extrusion, and the output impedance can be adjusted infinitely. It should be noted that in the severely extruded state, the output impedance may be infinite, and in the non-extruded state, the output impedance can be infinitesimal. This application does not limit the positive or negative correlation relationship between the impedance information and the change of the extrusion state.

[0030] Further, the winding schematic diagram of the fabric is as Figure 3 shown. Multiple fabrics wind around each other. Based on the soft characteristics of the fabric, it can be woven into the seat cushion and backrest of the sitting posture detection device, so that the sitting posture detection device can not only detect the user's sitting posture, but also bring a comfortable experience to the user. It should be noted that the sitting posture detection device usually also includes a detection circuit, which is used to detect the output impedance of the fabric line and output corresponding impedance detection data according to the output impedance.

[0031] The sitting posture detection device includes at least a seat cushion. In addition, the sitting posture detection device may also include a seat cushion and a backrest. Exemplarily, the sitting posture detection device including a seat cushion and a backrest is as Figure 4 shown. By collecting the impedance information generated by the fabric detection basic unit when the user sits down through two different sampling areas of the seat cushion and the backrest, it is possible to judge whether the user's current sitting posture is normal based on the impedance information of the two areas and the standard impedance information.

[0032] Based on this, the embodiment of this application provides a sitting posture detection method, which is applied to a sitting posture detection device. The sitting posture detection device includes a detection circuit and a detection basic unit. The sitting posture detection device is usually set as a seat or set on a seat. Therefore, the detection basic unit and the detection circuit are usually set on the seat cushion and the backrest. Please refer to Figure 5 Figure 5 which is the flow schematic diagram of the first embodiment of the sitting posture detection method of this application.

[0033] In this embodiment, the sitting posture detection method includes steps S10 to S30: Step S10, obtain the impedance detection data detected by the detection circuit.

[0034] In this embodiment, the impedance detected by the detection circuit changes following the degree of deformation of the basic detection unit. When a user sits on the seat cushion, the seat cushion is compressed due to the action of gravity, and the basic detection unit changes (also known as deforms). At this time, the distance between the conductive materials decreases, thereby affecting the electrical characteristics (such as resistance and capacitance) of the basic detection unit. The impedance detection data is the real-time impedance value shown by the basic detection unit in the deformed state, usually including a resistance component reflecting the change in material conductivity and a reactance component reflecting the dielectric or electromagnetic induction characteristics of the material. The detection circuit outputs corresponding impedance detection data through the output impedance of the basic detection unit.

[0035] When a user sits on the seat cushion, the basic detection unit of the seat cushion deforms, and the impedance detection data detected by the detection circuit is real-time impedance information. By obtaining the output impedance of the basic detection unit when the basic detection unit deforms, and then setting the impedance detection parameters generated according to the output impedance as the impedance detection data. By collecting real-time impedance information, the physical deformation is dynamically mapped into electrical characteristic parameters, so as to analyze the current impedance based on the impedance information in the standard sitting posture, thereby accurately identifying non-standard sitting postures such as hunchback, crossing legs or tilting.

[0036] Furthermore, before obtaining the impedance detection data detected by the detection circuit, it is also necessary to determine whether the force-applying party is a human body. Therefore, the sitting posture detection device further includes a human body detection module, and the human body detection module can determine whether the basic detection unit deforms. Specifically, if the basic detection unit deforms, the deformation detection result of the basic detection unit can be determined according to the detection parameters obtained by the human body detection module, and when the deformation detection result indicates the presence of a human body, the processing action of step S10 is executed, where the detection parameters vary with the type of the human body detection module. For example, when the detection module is a temperature detection module, the detection data is temperature data; when the detection module is an image module, the detection data is human body data, etc. Based on this, after the seat cushion deforms under force, by analyzing whether the force-applying party is a human body, and after a human body applies force, the detection circuit is started and the impedance is detected.

[0037] Optionally, after obtaining the impedance detection data detected by the detection circuit, it is also possible to determine whether the force-applying party is a human body. Therefore, after step S10, the deformation detection result of the basic detection unit can be determined according to the detection data obtained by the human body detection module, and when the deformation detection result indicates the presence of a human body, the action of step S20 is executed, so as to perform subsequent impedance analysis processing after determining that the impedance changes due to the pressure applied by the human body, thereby reducing the interference of non-living body data and improving the accuracy of impedance detection.

[0038] Exemplarily, the human body detection module is a heat radiation acquisition module. When the detection basic unit in the seat cushion area is squeezed, it will trigger the heat radiation acquisition module. At this time, the temperature parameters collected by the heat radiation acquisition module are used to identify whether the current force - applying party is a living object. It can be understood that the average human body temperature is about 36 to 37 degrees, while some items such as boxes do not have such temperature characteristics. Therefore, when it is identified that the force - applying party causing the deformation of the detection basic unit is a human body, the detection basic unit on the seat cushion is started for detection, thus avoiding false - triggering operations caused by placing items on the chair and reducing unnecessary power consumption losses.

[0039] Step S20: Determine the impedance difference between the current impedance and the standard impedance information according to the impedance detection data.

[0040] In this embodiment, the standard impedance information refers to the standard impedance generated by the detection basic unit when the user is in a standard sitting posture. Among them, the standard impedance information can be obtained through specific user information or pre - stored impedance information. The pre - stored impedance information is the impedance information of the detection basic unit when the user sits down based on the standard sitting posture. For example, after identifying the specific identity of the user, based on the user's sitting posture habits, weight information, etc., the corresponding standard impedance information of the user in the standard sitting posture is matched. Or after the micro - processor of the sitting posture detection device obtains the impedance detection data, it compares with the pre - stored original data (pre - stored impedance information). By comparing the impedance of each basic detection unit one by one, the type of clothing worn by the current user is identified, and the impedance information associated with the current clothing type is used as the standard impedance information for sitting posture detection at this time. Among them, the user's identity information can be determined by image recognition technology or by analyzing historical sitting posture data.

[0041] The impedance difference includes the impedance region size of the impedance detection data and the standard impedance information relative to the seat cushion and the impedance value size difference between each impedance region. By analyzing the impedance region size and the impedance value size between the standard impedance information and the current impedance, the accuracy of sitting posture recognition is improved.

[0042] Further, after determining the standard impedance information that conforms to the current user, calculate the impedance difference between the current impedance and the standard impedance. For example, when the user sits on the seat cushion and their sitting posture changes from the standard sitting posture to crossing their legs at the current moment, the deformation region of the detection basic unit changes, and the impedance generated by the deformation region changes. For example, when crossing the left leg, the original deformation region of the left leg on the seat cushion becomes smaller, and the output impedance becomes larger; at the same time, the impedance of the corresponding deformation region of the right leg in the seat cushion becomes smaller. At this time, these impedance change information are set as the impedance difference.

[0043] Step S30: If the impedance difference meets the abnormal sitting posture impedance difference condition, determine that the current sitting posture is a non - standard sitting posture.

[0044] In this embodiment, the abnormal sitting posture impedance difference condition refers to the difference value between the impedance in the abnormal sitting posture and the impedance in the standard sitting posture. For example, in the case of crossing legs, the abnormal sitting posture impedance difference condition is that in the impedance difference information, the impedance value in area A is higher than the normal level, and the impedance value in area B is lower than the normal level. At this time, if the impedance difference meets the above conditions, it can be considered that the current sitting posture is a non-standard sitting posture. It should be noted that the change in impedance magnitude can also be the opposite. This application is only an example and does not limit the actual impedance change.

[0045] By analyzing the impedance difference between the impedance value in the standard sitting posture and the non-standard sitting posture through a specific algorithm, the sitting posture state of the user under this deviation is determined. Compared with simple pressure detection, impedance analysis is more sensitive to the minute deformation of the cushion and is less affected by parameters such as temperature / humidity, which can significantly improve the accuracy of sitting posture detection.

[0046] Optionally, the abnormal sitting posture impedance difference condition can be determined based on specific user information. For example, different users have different weights and sitting habits, etc., and their corresponding abnormal sitting posture impedance difference conditions are also different. Therefore, the abnormal sitting posture impedance difference condition can be determined based on actual user data.

[0047] Optionally, if the impedance difference does not meet the abnormal sitting posture impedance difference condition, the analysis of the impedance difference data is continuously performed.

[0048] This embodiment provides a sitting posture detection method. After the detection basic unit deforms, the heat radiation acquisition module is used to detect whether the force-applying party of the deformation is a human body. After detecting a human body, the detection circuit is used to obtain the impedance detection data in the deformed state of the detection basic unit, and the impedance detection data is compared with the corresponding standard impedance information in the standard sitting posture to calculate the impedance difference between the current impedance in the impedance detection data and the standard impedance information. When the impedance difference meets the abnormal sitting posture impedance difference condition, it is determined that the user's current sitting posture is a non-standard sitting posture, thereby directly associating the physical deformation through the impedance response characteristic, avoiding the misjudgment problem caused by environmental light interference, clothing occlusion, or user movement inertia, and improving the accuracy of sitting posture detection.

[0049] Based on the first embodiment of this application, in the second embodiment of this application, the same or similar content as the above first embodiment can be referred to the above introduction and will not be repeated hereinafter. On this basis, please refer to Figure 6 , before step S20, the sitting posture detection method further includes steps S40 to S50: Step S40, determining the target clothing type associated with the current stage according to the impedance detection data.

[0050] Before analyzing the impedance detection data according to the standard impedance information, it is also necessary to select the standard impedance information that meets the actual needs of the user. In actual application scenarios, when the user wears different types of clothing, the degree of deformation generated by the basic cushion detection unit is also different. For example, when the user wears thick cotton-padded clothes and sits down, compared with when the user wears thin trousers and sits down, the deformation generated when wearing thick cotton-padded clothes is usually larger. Therefore, the impedance detection information is affected by the user's clothing type.

[0051] In the process of determining the target clothing type, the matching degree between the impedance detection data and the impedance information associated with each clothing type can be determined, and then the target clothing type associated with the current stage can be determined according to the matching degree. Among them, the impedance information can be the impedance information corresponding to different clothing types when the user is in the standard sitting posture stored when the sitting posture detection device is first used, or it can be generated by the sitting posture detection device based on the huge amount of sitting posture and impedance data in the database. For users of different heights and weights, the impedance information of the cushion when wearing different types of clothing.

[0052] Exemplarily, user A sits on the cushion in the standard sitting posture (spine straight, legs flat) wearing a thick cotton-padded coat. The impedance characteristics of two common types of clothing included in the database are shown in the following table (collected in the standard sitting posture):

[0053] After user A sits down, the impedance change generated by the deformation of the detection basic unit in the cushion (such as four of the detection basics selected from the numbers S1-S4) is the impedance detection data collected by the detection circuit as shown in the following table:

[0054] It can be seen that by comparing the impedance detection data with the pre-stored impedance information, the clothing type with the highest data matching degree is the thick cotton-padded trousers. Therefore, the target clothing type is determined to be the thick cotton-padded trousers.

[0055] Furthermore, as an optional implementation method for obtaining the pre-stored impedance information, the impedance information is the impedance information corresponding to the user's standard sitting posture and different clothing types stored when the sitting posture detection device is first used. Therefore, in the user setting stage, the impedance information detected by the detection circuit when the user sits in the standard sitting posture and wears the corresponding clothing of each clothing type can be obtained, and then the mapping relationship between the impedance information and the clothing type is associated and saved, so as to determine the target clothing type according to the matching degree between the impedance detection data and the impedance information associated with each clothing type. After the sitting posture detection device determines the target clothing type associated with the user at the current stage, the impedance information associated with this clothing type is found to reduce the interference of the user's clothing type on the sitting posture detection judgment.

[0056] Step S50, use the impedance information corresponding to the target clothing type as the standard impedance information.

[0057] In this embodiment, after obtaining the target clothing type, set the impedance information associated with this clothing type as the standard impedance information, so that the sitting posture of the user can be detected based on the actual wearing information of the user, reducing the influence of the user's clothing on the sitting posture detection during sitting posture detection and improving the detection accuracy.

[0058] This embodiment provides a sitting posture detection method. Before determining the impedance difference between the standard impedance information and the current impedance of the impedance detection data, determine the clothing type of the user through the impedance detection data, and set the impedance information associated with this clothing type as the standard impedance, thereby reducing the interference of the user's clothing type during sitting posture detection and improving the detection accuracy.

[0059] Based on the first embodiment of this application, in the third embodiment of this application, for the same or similar content as the above first embodiment, reference can be made to the above introduction and will not be repeated hereinafter. On this basis, when the sitting posture detection device includes a seat cushion and a backrest, step S20 includes step S21: Step S21, according to the impedance detection data, determine the seat cushion impedance difference and the backrest impedance difference between the current impedance and the standard impedance information.

[0060] In this embodiment, when the user sits on the seat cushion and leans on the backrest, the detection basic unit of the backrest deforms. At this time, the impedance detection data detected by the backrest detection circuit is real-time impedance information. By collecting the real-time impedance information when the detection basic unit of the backrest deforms, the physical deformation is dynamically mapped into electrical characteristic parameters, so as to analyze the current impedance through the impedance information in the standard sitting posture and accurately identify non-standard sitting postures such as hunchback, crossing legs or leaning sideways.

[0061] After obtaining the backrest impedance data, it is also necessary to analyze the impedance difference between the standard impedance information and the current backrest impedance when the user leans on the backrest in the standard sitting posture, so as to analyze whether the sitting posture when leaning on the backrest is normal based on the backrest impedance difference. Therefore, based on the impedance detection data, the seat cushion impedance difference between the current impedance of the seat cushion and the standard impedance information, and the backrest impedance difference between the current impedance of the backrest and the standard impedance information can be determined. It should be noted that the standard impedance information includes two sets of different standard parameters for the seat cushion and the backrest.

[0062] It can be understood that the detection of the two parts of the backrest and the seat cushion has a priority order. Only when the detection basic unit in the seat cushion area is squeezed and the force application party is the human body, the detection of the backrest is triggered. Therefore, as an optional implementation manner, after step S21, it is also necessary to obtain the human body detection result of the seat cushion, and when the human body detection result is that there is a human body, perform the action of step S21.

[0063] Further, step S30 further includes step S31: Step S31, if the seat cushion impedance difference and the backrest impedance difference satisfy the abnormal sitting posture impedance difference condition, determine that the current sitting posture is a non-standard sitting posture.

[0064] In this embodiment, when both the backrest impedance difference and the seat cushion impedance difference satisfy the abnormal sitting posture detection difference condition, it is determined that the user's current sitting posture is a standard sitting posture. By analyzing the impedance data of the two detection areas of the seat cushion and the backrest, the detection accuracy is effectively improved. If one of the data does not satisfy the abnormal sitting posture impedance difference condition, it indicates that the current sitting posture is normal.

[0065] Optionally, after the fabric detection units of the seat cushion and the backrest are both squeezed, the impedance data can be compared.

[0066] This embodiment provides a sitting posture detection method. When the sitting posture detection device includes a backrest and the user lies on the backrest so that the backrest detection circuit detects the backrest impedance data, by performing collaborative analysis on the data obtained from the seat cushion area and the backrest area, the accuracy of sitting posture detection is improved.

[0067] Based on any of the above embodiments, in the fourth embodiment of the present application, the same or similar content as in the above various embodiments can be referred to the above introduction and will not be repeated hereinafter. On this basis, after step S30, steps S60 - S70 are further included: Step S60, if the duration of the non-standard sitting posture is greater than the preset duration, determine the sitting posture adjustment action associated with the non-standard sitting posture.

[0068] After the user sits down based on the normal sitting posture, if it is determined that the current sitting posture is a non-standard sitting posture based on the abnormal sitting posture impedance difference condition, it is considered at this time that the user's sitting posture needs to be adjusted, or the user adjusted the sitting posture and moved the position, resulting in the impedance difference satisfying the abnormal sitting posture impedance difference condition. Therefore, in order to prevent false triggering or misjudgment of sitting posture detection, after determining that the current sitting posture is a non-standard sitting posture, a timing action is performed. Within the preset time, if the user still maintains the same sitting posture all the time, a reminder for the user to adjust the sitting posture is required. If the impedance difference of the user changes within the preset time and does not satisfy the abnormal sitting posture impedance difference condition, it indicates that the user only adjusted the sitting posture and produced a non-standard sitting posture judgment result, rather than always being in a non-standard sitting posture state.

[0069] Therefore, in this embodiment, if the duration of the non-standard sitting posture is greater than the preset duration, the notification module needs to remind of the non-standard sitting posture, for example, push messages through wireless terminals such as mobile phones / watches / bracelets. If the user adjusts the sitting posture within the preset time so that the impedance difference does not meet the abnormal sitting posture impedance difference condition, the next round of impedance difference detection is performed.

[0070] Step S70: Output an action prompt corresponding to the sitting posture adjustment action.

[0071] In this embodiment, the action prompts for the sitting posture adjustment action include prompt methods such as voice prompts and light prompts. When the duration of the non-standard sitting posture exceeds the preset duration, it indicates that the user's current sitting posture is inaccurate and not an adjustment of the sitting posture. By outputting a prompt to remind the user to adjust the sitting posture, the adverse problems caused by the user's bad sitting posture can be reduced.

[0072] Based on any of the above embodiments, in the fifth embodiment of the present application, the same or similar content as in the above embodiments can be referred to the above introduction and will not be repeated hereinafter. On this basis, after step S10, the user information can be determined according to the impedance detection data, and then the abnormal sitting posture impedance difference condition can be determined based on the user information. Among them, the weight information, impedance distribution information, etc. of the user corresponding to the impedance detection data can be used to determine the user information of the currently sitting user based on the actual body characteristic data and sitting posture habit data. For example, the sitting posture detection device is usually sat on by user A and user B. User A is relatively obese and sits down wearing ordinary pants recently, while user B is lighter in weight and sits down wearing cotton-padded pants recently. Due to the different weights and their different wearing habits, at this time, the abnormal sitting posture impedance difference condition that meets the current user's needs needs to be determined based on such user information, so as to avoid applying the abnormal sitting posture impedance difference condition of user A to user B, so that when user B sits down in a non-standard sitting posture, the sitting posture detection device considers his sitting posture to be a standard sitting posture.

[0073] Exemplarily, to help understand the implementation process of the sitting posture detection method obtained by combining the above embodiments, please refer to Figure 7 , Figure 7 A schematic flowchart of an alternative implementation of a sitting posture detection method is provided, specifically: When the seat cushion fabric detection unit is squeezed (at this time, impedance data of the seat cushion is generated), it is detected and judged by a human body detection module such as a heat radiation acquisition module whether heat radiation of about 37 degrees is detected. If not, continuous detection is carried out. If so, the fabric detection unit of the backrest is started for detection. Subsequently, the mapping relationship of the fabric detection unit corresponding to different user wears is obtained, so as to determine the clothing information of the user based on the current impedance. Then it is detected whether both the fabric detection units of the seat cushion and the backrest are squeezed. If not, continuous detection is carried out. If so, the data of the impedance list of the current detection basic unit in each area is obtained, and this data is compared with the mapped data, so as to obtain the clothing information of the user. Then, according to the impedance information fed back by the fabric detection unit, it is identified whether the sitting posture of the user is standard. If the sitting posture is a non-standard sitting posture and the duration exceeds the specified time, the user is reminded to adjust the sitting posture through the notification module. If it does not exceed the specified time, the timing is refreshed and the current sitting posture of the user is re-identified.

[0074] Based on this, through the methods of thermal energy radiation, seat cushion detection, backrest detection, clothing type detection and timing detection, during the sitting posture detection process, the detection data is less affected by factors such as non-human data, user wears and user sitting posture adjustment, and the accuracy of sitting posture detection is improved.

[0075] This application provides a sitting posture detection device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein, the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the sitting posture detection method in the above first embodiment.

[0076] Next, refer to Figure 8 , which shows a schematic structural diagram of a sitting posture detection device suitable for implementing the embodiments of this application. Figure 8 The shown sitting posture detection device is only an example and should not bring any limitation to the functions and usage scopes of the embodiments of this application.

[0077] Such as Figure 8As shown, the sitting posture detection device may include a processing device 1001 (such as a central processing unit, a graphics processing unit, etc.), which may perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 into a random access memory (RAM: Random Access Memory) 1004. In the random access memory 1004, various programs and data required for the operation of the sitting posture detection device are also stored. The processing device 1001, the read-only memory 1002, and the random access memory 1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems may be connected to the input / output interface 1006: an input device 1007 including, for example, a touch screen, a touch pad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD, Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 may allow the sitting posture detection device to communicate with other devices wirelessly or wiredly to exchange data. Although the sitting posture detection device with various systems is shown in the figure, it should be understood that it is not required to implement or have all the shown systems. More or fewer systems may be implemented or had alternatively.

[0078] In particular, according to the embodiments disclosed in the present application, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes program codes for performing the methods shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network through the communication device, or installed from the storage device 1003, or installed from the read-only memory 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the methods of the embodiments disclosed in the present application are executed.

[0079] The sitting posture detection device provided by the present application adopts the sitting posture detection method in the above-mentioned embodiment, and can solve the technical problem of low detection accuracy existing in the existing sitting posture detection method. Compared with the prior art, the beneficial effects of the sitting posture detection device provided by the present application are the same as those of the sitting posture detection method provided by the above-mentioned embodiment, and other technical features in the sitting posture detection device are the same as those disclosed in the method of the previous embodiment, and will not be elaborated here.

[0080] It should be understood that each part disclosed in this application can be implemented by hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in a suitable manner in any one or more embodiments or examples.

[0081] As described above, the above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in this application, and all should be covered by the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

[0082] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., computer programs) stored thereon, and the computer-readable program instructions are used to execute the sitting posture detection method in the above embodiments.

[0083] The computer-readable storage medium provided by this application can be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination of the above. More specific examples of computer-readable storage media can include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), or flash memory, optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above. In this embodiment, the computer-readable storage medium can be any tangible medium that contains or stores a program, and this program can be used by or in combination with an instruction execution system, device, or device. The program code contained on the computer-readable storage medium can be transmitted by any appropriate medium, including but not limited to: wires, optical cables, radio frequency (RF), etc., or any suitable combination of the above.

[0084] The above computer-readable storage medium can be included in the sitting posture detection device; it can also exist alone and not be assembled into the sitting posture detection device.

[0085] The above computer-readable storage medium carries one or more programs. When the above one or more programs are executed by the sitting posture detection device, the sitting posture detection device is caused to: Obtain the impedance detection data detected by the detection circuit, and the impedance detected by the detection circuit changes following the deformation degree of the detection basic unit; Determine the impedance difference between the current impedance and the standard impedance information according to the impedance detection data; If the impedance difference meets the abnormal sitting posture impedance difference condition, determine that the current sitting posture is a non-standard sitting posture.

[0086] Computer program code for performing the operations of the present application can be written in one or more programming languages or combinations thereof. The above-mentioned programming languages include object-oriented programming languages - such as Java, Smalltalk, C++, and also include conventional procedural programming languages - such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, executed as an independent software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network - including a local area network (LAN, Local Area Network) or a wide area network (WAN, Wide Area Network) - or can be connected to an external computer (for example, by using an Internet service provider to connect through the Internet).

[0087] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code, and this module, program segment, or part of code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order from that marked in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and the combination of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system for performing the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0088] The modules involved in the embodiments of the present application can be implemented in software or in hardware. Among them, the name of the module does not constitute a limitation to the unit itself in some cases.

[0089] The readable storage medium provided by the present application is a computer-readable storage medium, and the computer-readable storage medium stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned sitting posture detection method, which can solve the technical problem of low detection accuracy existing in the existing sitting posture detection methods. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the present application are the same as those of the sitting posture detection method provided by the above-mentioned embodiment, and will not be elaborated herein.

[0090] The above are only partial embodiments of the present application, and thus do not limit the patent scope of the present application. Any equivalent structural transformation made under the technical concept of the present application by using the content of the specification and drawings of the present application, or any direct / indirect application in other related technical fields is included in the patent protection scope of the present application.

Claims

1. A sitting posture detection method, characterized in that: Applied to a sitting posture detection device, the sitting posture detection device at least includes a detection circuit and a detection basic unit, and the sitting posture detection method includes: Acquiring impedance detection data detected by the detection circuit, wherein the impedance detected by the detection circuit changes with the deformation degree of the detection basic unit; Determining an impedance difference between a current impedance and standard impedance information according to the impedance detection data; If the impedance difference meets the abnormal sitting posture impedance difference condition, the current sitting posture is determined to be a non-standard sitting posture.

2. The sitting posture detection method according to claim 1, characterized in that: Before the step of determining the impedance difference between the current impedance and the standard impedance information according to the impedance detection data, the method further includes: determining a target clothing type associated with the current stage according to the impedance detection data; The impedance information corresponding to the target clothing type is used as the standard impedance information.

3. The sitting posture detection method according to claim 2, characterized in that: The step of determining the target clothing type associated with the current stage according to the impedance detection data comprises: determining a degree of match between the impedance detection data and the impedance information associated with each clothing type; The target clothing type associated with the current stage is determined according to the matching degree.

4. The sitting posture detection method according to claim 3, characterized in that: The sitting posture detection method further comprises: In the user setting stage, the impedance information detected by the detection circuit is obtained when the user sits in a standard sitting posture and wears clothes corresponding to each clothing type; A mapping relationship between the impedance information and the clothing type is associated and saved.

5. The sitting posture detection method according to claim 1, characterized in that: The sitting posture detection device comprises a human body detection module, and after the step of acquiring the impedance detection data detected by the detection circuit, wherein the impedance detected by the detection circuit changes with the deformation degree of the detection basic unit, further comprises: Determining a deformation detection result of the detection basic unit according to the detection data acquired by the human body detection module; If the deformation detection result indicates that a human body exists, the step of determining the impedance difference between the current impedance and the standard impedance information based on the impedance detection data is performed.

6. The sitting posture detection method according to claim 1, characterized in that: The sitting posture detection device includes a seat cushion and a backrest, and the step of determining the impedance difference between the current impedance and the standard impedance information according to the impedance detection data includes: Determine, based on the impedance detection data, a cushion impedance difference and a backrest impedance difference between the current impedance and the standard impedance information; If the impedance difference satisfies the abnormal sitting posture impedance difference condition, the step of determining that the current sitting posture is a non-standard sitting posture comprises: If the cushion impedance difference and the backrest impedance difference meet the abnormal sitting posture impedance difference condition, the current sitting posture is determined to be a non-standard sitting posture.

7. The sitting posture detection method according to claim 6, characterized in that: Before the step of determining the seat cushion impedance difference and the backrest impedance difference between the current impedance and the standard impedance information according to the impedance detection data, the method further includes: Obtaining a human body detection result of the seat cushion; If the human body detection result indicates that a human body is present, the step of determining the cushion impedance difference and the backrest impedance difference between the current impedance and the standard impedance information based on the impedance detection data is performed.

8. The sitting posture detection method according to any one of claims 1 to 7, characterized in that: After the step of determining that the current sitting posture is a non-standard sitting posture if the impedance difference meets the abnormal sitting posture impedance difference condition, the method further includes: If the duration of the non-standard sitting posture is longer than a preset duration, determining a sitting posture adjustment action associated with the non-standard sitting posture; Outputting an action prompt corresponding to the sitting posture adjustment action.

9. A sitting posture detection device, characterized in that: The sitting posture detection device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the sitting posture detection method according to any one of claims 1 to 8.

10. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the sitting posture detection method according to any one of claims 1 to 8 are implemented.

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