CN108814616B

CN108814616B - Sitting posture identification method and intelligent seat

Info

Publication number: CN108814616B
Application number: CN201810327489.1A
Authority: CN
Inventors: 冯澍婷; 刘洪涛
Original assignee: Shenzhen Het Data Resources and Cloud Technology Co Ltd
Current assignee: Shenzhen Hetai Intelligent Home Appliance Controller Co ltd
Priority date: 2018-04-12
Filing date: 2018-04-12
Publication date: 2021-11-05
Anticipated expiration: 2038-04-12
Also published as: CN108814616A

Abstract

The embodiment of the invention relates to the field of intelligent home furnishing, in particular to a sitting posture identification method and an intelligent seat, wherein the sitting posture identification method is applied to the intelligent seat, the intelligent seat comprises a backrest and a seat cushion, the intelligent seat is provided with a plurality of pressure sensors, and the method comprises the following steps: collecting pressure applied to the pressure sensors by a user; locating an active pressure sensor from the number of pressure sensors; determining an effective area according to the effective pressure sensor; and acquiring the area of the effective region and the pressure of the effective region, and identifying the sitting posture of a user according to the area change of the effective region and the pressure change of the effective region. Through the mode, the sitting posture of the user can be accurately identified, and the user is reminded to correct the sitting posture according to the sitting posture problem of the user.

Description

Sitting posture identification method and intelligent seat

Technical Field

The invention relates to the field of intelligent home furnishing, in particular to a sitting posture identification method and an intelligent seat.

Background

In the process of working and learning at ordinary times, people need to sit on the chair for corresponding working or learning most of the time, so that the chair plays an important role. For developing students in middle and primary schools, the correct sitting posture is more important. If the sitting posture of the student is incorrect when reading and writing, the student can be maintained in bad sitting posture habit for a long time, the skeleton is likely to be deformed, the body is not easy to keep balance, and the symptoms such as humpback or muscle fatigue occur, so that the normal development of the student body can be influenced. For the white collar of office, etc., the heavy working pressure makes them sit on the chair for nearly ten hours every day, if the sitting posture is not correct, the spine and body type will be affected, and if serious, cervical spondylosis, lumbar spondylosis, etc. will also be caused.

In order to meet the requirements of people of different ages and body types, various chairs meeting the requirements of human engineering are designed in the current market, so that the user can be ensured to correct the sitting posture to a certain extent, the body shape is kept, but the chairs mainly keep correct the sitting posture according to the conscious of the user and cannot achieve the ideal sitting posture correction effect. Some chairs or chair cushions with sitting posture correcting function can help users to correct bad sitting postures to a certain extent, but cannot accurately identify the sitting postures of the users, can only roughly remind the users when the sitting postures of the users are bad, cannot further prompt the users of problems of the specific sitting postures, and are not ideal in use effect.

The inventor finds that the prior art has at least the following problems in the process of implementing the invention: the prior art can not accurately identify the sitting posture of a user and reminds the user to correct the sitting posture according to the sitting posture problem of the user.

Disclosure of Invention

The embodiment of the invention aims to provide a sitting posture identification method and an intelligent seat, and solves the technical problem that the sitting posture of a user cannot be accurately identified in the prior art.

In order to solve the above technical problem, one technical solution adopted by the embodiment of the present invention is: the method for recognizing the sitting posture is applied to a smart seat, the smart seat comprises a backrest and a seat cushion, the smart seat is provided with a plurality of pressure sensors, and the method comprises the following steps:

collecting pressure applied to the pressure sensors by a user;

locating an active pressure sensor from the number of pressure sensors;

determining an effective area according to the effective pressure sensor;

acquiring the area of the effective area and the pressure of the effective area;

and recognizing the sitting posture of the user according to the area change of the effective area and the pressure change of the effective area.

In some embodiments, the method further comprises:

presetting a quantity threshold value, and judging whether the quantity of the effective pressure sensors exceeds the quantity threshold value;

and if the number of the effective sensors does not exceed the number threshold, determining that the intelligent seat is in an unmanned use state.

In some embodiments, the pressure sensor is disposed at a backrest of the smart seat;

the recognizing the sitting posture of the user according to the area change of the effective area and the pressure change of the effective area comprises the following steps:

acquiring a first effective area of the effective pressure sensor on a backrest;

presetting a first area threshold range, acquiring the size relation between the first effective area and the first area threshold range, if the first effective area is smaller than or equal to the minimum value of the first area threshold range, determining that the sitting posture of the user is forward leaning, and if the first effective area is larger than the maximum value of the first area threshold range, determining that the sitting posture of the user is backward leaning.

In some embodiments, the method further comprises:

calculating a first pressure average for all of the active pressure sensors on the backrest;

presetting a first pressure threshold range, and acquiring the size relation between the first pressure average value and the first pressure threshold range;

determining that the user's sitting posture is severely anteverted if the first pressure average is less than the minimum of the first pressure threshold range;

determining that the user's sitting posture is slightly forward leaning if the first pressure average is within the first pressure threshold range.

In some embodiments, the method further comprises:

presetting a second pressure threshold range, and acquiring the size relation between the first pressure average value and the second pressure threshold range;

determining that the user's sitting posture is severely reclined if the first pressure average is greater than the maximum of the second pressure threshold range;

determining that the user's sitting posture is slightly reclined if the first pressure average is within the second pressure threshold range.

In some embodiments, the method further comprises:

the backrest is divided into a left half part and a right half part according to the midline in the left-right direction,

and determining the sitting posture of the user to be inclined leftwards or rightwards according to the magnitude relation between the pressure of the effective area of the left half part on the backrest and the pressure of the effective area of the right half part on the backrest and the magnitude relation between the areas of the effective areas of the left half part on the backrest and the right half part on the backrest.

In some embodiments, the pressure sensor is further disposed at a cushion of the seat, the method further comprising:

equally dividing an effective area on the chair cushion into a plurality of areas;

calculating an average pressure within each of the number of zones;

and determining the area with the maximum average pressure as the gravity center position of the user.

In some embodiments, the method further comprises:

detecting the gravity center position of a user, and determining the body posture of the user according to the change of the gravity center position of the user;

if the gravity center position of the user shifts leftwards, determining that the body posture of the user is a left-leaning posture;

if the gravity center position of the user shifts to the right, determining that the body posture of the user is a right-leaning posture;

if the gravity center position of the user shifts forwards, determining that the body posture of the user is a forward-leaning posture;

and if the gravity center position of the user deviates backwards, determining that the body posture of the user is a backward leaning posture.

In some embodiments, the method further comprises:

determining the sitting posture of the user according to the change of the gravity center position of the user and the combination of the body posture of the user and/or the pressure change of the backrest.

In some embodiments, the effective area on the seat cushion is divided into a left half and a right half according to a midline in the left-right direction, the method further comprising:

acquiring the areas of a left half part of a user on the chair cushion and a right half part of the user on the chair cushion;

calculating the difference value of the area of the left half part on the chair cushion and the area of the right half part on the chair cushion;

and presetting a second area threshold, and if the difference is greater than or equal to the second area threshold, determining that the symmetry of the effective area is poor.

In some embodiments, the method further comprises:

determining whether the leg posture of the user is wrong or not according to the change of the gravity center position of the user and the symmetry of the effective area;

if the symmetry of the effective area is poor and the gravity center position of the user is shifted leftwards or rightwards, determining that the leg posture of the user is seriously wrong;

and if the symmetry of the effective area is poor but the gravity center position of the user does not shift, determining that the leg posture of the user is slightly wrong.

In some embodiments, the method further comprises:

and determining whether the sitting posture of the user is correct or not according to the sitting posture of the user, and if not, reminding the user to correct the sitting posture.

In a second aspect, an embodiment of the present invention further provides a smart seat, including:

the chair comprises a backrest and a chair cushion, wherein the backrest and the chair cushion are integrated with a plurality of pressure sensors;

at least one processor; and the number of the first and second groups,

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method described above.

In some embodiments, the pressure sensor comprises an acceleration sensor and/or a gyroscope.

The beneficial effects of the embodiment of the invention are as follows: in contrast to the prior art, the present invention collects the pressure applied by the user to the plurality of pressure sensors; locating an active pressure sensor from the number of pressure sensors; determining an effective area according to the effective pressure sensor; and acquiring the area of the effective region and the pressure of the effective region, and identifying the sitting posture of a user according to the area change of the effective region and the pressure change of the effective region. Through the mode, the sitting posture of the user can be accurately identified, and the user is reminded to correct the sitting posture according to the sitting posture problem of the user.

Drawings

One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the figures in which like reference numerals refer to similar elements and which are not to scale unless otherwise specified.

Fig. 1 is a schematic flow chart of a sitting posture identifying method according to an embodiment of the present invention;

FIG. 2 is a flow chart of a method for determining the validity of a pressure sensor according to an embodiment of the present invention;

fig. 3 is a schematic flow chart of a method for determining a use state of an intelligent seat according to an embodiment of the present invention;

fig. 4 is an overall schematic view of a smart seat provided in an embodiment of the present invention;

FIG. 5 is a schematic view of a backrest of a smart seat according to an embodiment of the present invention;

FIG. 6 is a flow chart of a method for determining a sitting posture of a user according to a backrest according to an embodiment of the present invention;

FIG. 7 is a schematic diagram of a seat cushion of a smart seat according to an embodiment of the present invention;

FIG. 8 is a diagram illustrating a distribution of center of gravity of a human body of a cushion of a smart seat according to an embodiment of the present invention;

FIG. 9 is a flow chart of a method for determining a sitting posture of a user according to a seat cushion provided by an embodiment of the present invention;

fig. 10 is a schematic structural diagram of a smart seat according to an embodiment of the present invention;

fig. 11 is a schematic structural diagram of a processor according to an embodiment of the present invention.

Referring to fig. 1 to 11, 100 is a smart seat; 10 is a backrest; 20 is a chair cushion; 211 is the effective area of the chair cushion; 2111 is the gravity center distribution region; 30 is a signal processing device; 31 is a processor; 311 is a signal receiving module; 312 is an abnormal judgment module; 313 is a sitting posture identification module; 314 is a result output module; 315 is a voice reminding module; and 32 is a memory.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.

In the embodiment of the invention, the intelligent seat can be an intelligent sofa, an intelligent chair, a computer competition seat, a massage chair and other electronic equipment capable of recognizing sitting postures.

Specifically, the following describes an embodiment of the present invention with an example of a smart seat.

Referring to fig. 1, fig. 1 is a schematic flow chart illustrating a sitting posture identifying method according to an embodiment of the present invention. As shown in fig. 1, the method is applied to a smart seat, the smart seat comprises a backrest and a seat cushion, the smart seat is provided with a plurality of pressure sensors, and the method comprises the following steps:

step S10: collecting pressure applied to the pressure sensors by a user;

specifically, be provided with a plurality of pressure sensor on the intelligent seat, pressure sensor set up in the back and the seat pad of intelligent seat, a plurality of pressure sensor distribute in through array form equidistance in the back and the seat pad of intelligent seat, pressure sensor's shape, size, interval and quantity can be according to the concrete form and the demand dynamic adjustment of intelligent seat to satisfy the demand of rationally and accurately gathering pressure, pressure sensor also can be the similar sensor of multiple functions such as acceleration sensor or gyroscope. And acquiring the pressure applied to the pressure sensors by the user according to the pressure signals by receiving the pressure signals of the user to the backrest and/or the chair cushion. It can be understood that, in order to facilitate the disassembly and cleaning of the equipment, the backrest and the cushion of the intelligent seat can be provided with detachable cushions, and the pressure sensor can be integrated on the detachable cushions, so that the intelligent seat is more convenient.

Step S20: locating an active pressure sensor from the number of pressure sensors;

specifically, since the plurality of pressure sensors are distributed on the backrest and the seat cushion of the smart seat, and the plurality of pressure sensors are distributed on the backrest and the seat cushion of the smart seat in an array, it can be understood that a user often does not contact all the pressure sensors after sitting on the smart seat, and therefore effective pressure sensors need to be respectively positioned on the backrest and the seat cushion of the smart seat, and the sitting posture of the user is determined through the effective pressure sensors. Specifically, the pressure of a single pressure sensor is collected one by one or simultaneously, a pressure threshold value and preset time are preset, whether all the pressures collected in the preset time are all larger than the preset pressure threshold value is judged according to the pressure collected in the preset time, if the pressures collected in the preset time by the pressure sensor are all larger than the preset pressure threshold value, the pressure sensor is determined to be an effective pressure sensor, and meanwhile, the effective pressure sensor is positioned. Or, judging whether the times are larger than a preset number threshold value according to the times that the pressure acquired within the preset time is larger than the preset pressure threshold value, determining whether the pressure sensor is an effective pressure sensor, and positioning the effective pressure sensor.

Step S30: determining an effective area according to the effective pressure sensor;

specifically, in the last step, whether the pressure sensor is an effective pressure sensor is determined by judging the effectiveness of a single pressure sensor, whether a plurality of pressure sensors are effective pressure sensors is determined one by one, so that a plurality of effective pressure sensors can be obtained, and meanwhile, by positioning the plurality of effective pressure sensors, the area where the effective pressure sensors are located can be obtained in the pressure sensor array, and the area is determined as an effective area. The effective area is the area where the effective sensors are distributed, and the effective area of the backrest and the effective area of the chair cushion are respectively determined by respectively dividing the effective areas on the backrest and the chair cushion of the intelligent seat, so that the sitting posture of the user can be better and accurately identified.

Step S40: acquiring the area of the effective area and the pressure of the effective area;

specifically, according to the effective pressure sensors, an effective area can be determined, and since the shape, size, spacing and number of the plurality of pressure sensors are fixed in advance, the area of the effective area can be further obtained by determining the effective area where the effective pressure sensors are located, the pressure of the effective area can be further obtained by collecting the pressure of the effective pressure sensors, and since the plurality of effective pressure sensors exist in the effective area, the pressure of the effective area can be collected by one pair of the pressure of the effective pressure sensors, the collected pressures of all the effective pressure sensors are summed, the average of the pressure of the effective area is obtained according to the number of the effective pressure sensors, and the average represents the pressure of the effective area.

Step S50: and recognizing the sitting posture of the user according to the area change of the effective area and the pressure change of the effective area.

Specifically, by acquiring the area of the effective region and the pressure of the effective region, a threshold time may be preset, and by detecting the area change and the pressure change of the effective region before and after the threshold time, the sitting posture of the user is determined. Since the pressure sensors on the intelligent seat are distributed on the backrest and the seat cushion of the intelligent seat, the sitting posture of the user can be identified by detecting the area change and the pressure change of the effective area of the backrest of the intelligent seat and/or the area change and the pressure change of the effective area of the seat cushion of the intelligent seat. Specifically, the area change and the pressure change of the effective area of the backrest of the intelligent seat can be singly detected, and the sitting posture of the user can be judged; the area change and the pressure change of the effective area of the chair cushion of the intelligent chair can be singly detected, and the sitting posture of the user can be judged; it can be understood that the sitting posture of the user can be more effectively recognized by simultaneously performing the area change of the effective area and the pressure change of the backrest and the seat cushion of the smart seat.

By collecting the pressure applied by the user to the plurality of pressure sensors; positioning effective pressure sensors from the plurality of pressure sensors, wherein the effective pressure sensors are pressure sensors with the pressure collected within a preset time being greater than a preset pressure threshold; determining an effective area according to the effective pressure sensor; the area of the effective area and the pressure of the effective area are obtained, and the sitting posture of a user is recognized according to the area change of the effective area and the pressure change of the effective area. Through the mode, the sitting posture of the user can be accurately identified.

Referring to fig. 2, fig. 2 is a schematic flow chart of a method for determining validity of a pressure sensor according to an embodiment of the present invention; as shown in fig. 2, the method includes:

step S201: collecting the pressure of a single pressure sensor;

specifically, the pressure of each pressure sensor is acquired one by one, or the pressures of a plurality of pressure sensors can be acquired simultaneously, or the pressures of the pressure sensor arrays of the backrest of the intelligent seat are acquired simultaneously, and/or the pressures of the pressure sensor arrays of the seat cushion of the intelligent seat are acquired simultaneously; preprocessing pressure signals acquired by a plurality of pressure sensors, wherein the preprocessing process comprises the following steps: respectively carrying out analog amplification, AD sampling and 50Hz power frequency trap on the plurality of pressure signals; the pressure signals of the backrest and the seat cushion of the intelligent seat are processed separately, namely the pressure signals of the backrest and the seat cushion are processed separately, so that the differential processing of the pressure signals of the backrest and the seat cushion is facilitated.

Step S202: judging whether the pressure is greater than a preset pressure threshold value or not;

after the pressure sensor receives a pressure signal, whether the pressure is greater than a preset pressure threshold value or not is judged according to the magnitude of the pressure signal, and whether the pressure sensor is effectively contacted with a human body or not is further judged. Specifically, a pressure threshold is preset, and the pressure threshold is used for judging whether the pressure sensor is effectively contacted with a human body. Wherein the pressure threshold is determined by height and weight information provided by the user in combination with the area of the pressure sensor. It can be understood that the pressure threshold of the pressure sensor of the backrest of the intelligent seat is different from that of the pressure sensor of the cushion of the intelligent seat, and the pressure threshold of the pressure sensor of the backrest of the intelligent seat is determined by the height and weight information provided by the user in combination with the area of the pressure sensor of the backrest of the intelligent seat; and/or determining a pressure threshold value of the pressure sensor of the cushion of the intelligent seat by combining the area of the pressure sensor of the cushion of the intelligent seat with height and weight information provided by a user. Determining whether the user is in effective contact with the intelligent seat cushion by judging whether the pressure is greater than a pressure threshold value, and if the pressure is greater than the pressure threshold value, entering a step S203; if the pressure is not greater than the pressure threshold, go to step S204;

step S203: adding 1 to the counting result i;

specifically, by presetting a counting result i, the counting result i is used for counting the number of times that the pressure threshold value is exceeded within a preset time. And setting the initial value of the counting result i to be zero, and adding 1 to the counting result i when the pressure acquired by the pressure sensor is detected to be greater than the pressure threshold value within preset time and every time the pressure is detected.

Step S204: judging whether the time is greater than preset time; if yes, go to step S205; if not, returning to the step S201;

specifically, the preset time is preset by a user, and the preset time may be 10 seconds, 20 seconds, 30 seconds, or the like. In order to prevent aliasing due to 50Hz power frequency interference, the sampling frequency of the pressure sensor is set to be greater than 100Hz, for example: the sampling frequency of the pressure sensor is set to be 200Hz, namely the pressure sensor collects pressure signals 200 times per second, and if the preset time is set to be 10 seconds, the pressure sensor collects pressure signals 2000 times within the preset time. When the pressure is collected, calculating the collecting time through a timer, judging whether the time is greater than the preset time, judging the times that the pressure is greater than the preset pressure threshold value in the preset time, and comparing the times with the preset quantity threshold value according to the times to determine whether the pressure sensor is an effective pressure sensor.

Step S205: judging whether the counting result i exceeds a preset number threshold value or not; if yes, the process goes to step S206, and if no, the process goes to step S207;

specifically, the preset number threshold is related to a sampling frequency and a preset time of the pressure sensor. It is understood that the preset number threshold is smaller than the number of sampling times of the pressure sensor in the preset time. The preset number threshold may be specifically set according to the actual requirements of the user. For example: assuming that the preset time is set to be 10 seconds, the pressure sensor collects the pressure signal 2000 times within the preset time, and the sampling frequency is 2000 times. At this time, the preset number threshold may be set to 1500 times, if the counting result i exceeds 1500 times within 10 seconds, it is determined that the pressure sensor is valid, otherwise, it is determined that the pressure sensor is invalid.

Step S206: this pressure sensor is active;

step S207: this pressure sensor is not effective;

referring to fig. 3, fig. 3 is a schematic flow chart of a method for determining a usage status of an intelligent seat according to an embodiment of the present invention; as shown in fig. 3, the method includes:

step S301: collecting the pressure of a single pressure sensor;

specifically, the pressure of each pressure sensor is acquired one by one, or the pressures of a plurality of pressure sensors can be acquired simultaneously, or the pressures of the pressure sensor arrays of the backrest of the intelligent seat are acquired simultaneously, or the pressures of the pressure sensor arrays of the seat cushion of the intelligent seat are acquired simultaneously; preprocessing pressure signals acquired by a plurality of pressure sensors, wherein the preprocessing process comprises the following steps: respectively carrying out analog amplification, AD sampling and 50Hz power frequency trap on the plurality of pressure signals;

step S302: judging whether the pressure is greater than a preset pressure threshold value or not;

after the pressure sensor receives a pressure signal, whether the pressure is greater than a preset pressure threshold value or not is judged according to the magnitude of the pressure signal, and whether the pressure sensor is effectively contacted with a human body or not is further judged. Specifically, a pressure threshold is preset, and the pressure threshold is used for judging whether the pressure sensor is effectively contacted with a human body. Wherein the pressure threshold is determined by height and weight information provided by the user in combination with the area of the pressure sensor. It can be understood that the pressure threshold of the pressure sensor of the backrest of the intelligent seat is different from that of the pressure sensor of the cushion of the intelligent seat, and the pressure threshold of the pressure sensor of the backrest of the intelligent seat is determined by the height and weight information provided by the user in combination with the area of the pressure sensor of the backrest of the intelligent seat; or determining the pressure threshold value of the pressure sensor of the seat cushion of the intelligent seat by combining the height and weight information provided by the user with the area of the pressure sensor of the seat cushion of the intelligent seat. Determining whether the user is in effective contact with the intelligent seat cushion by judging whether the pressure is greater than a pressure threshold value, and if the pressure is greater than the pressure threshold value, entering a step S303; if the pressure is not greater than the pressure threshold, returning to step S301;

step S303: judging whether the duration time is longer than the preset time or not;

specifically, when the pressure is greater than the pressure threshold, the user is in effective contact with the pressure sensor, at this time, the duration that the pressure is greater than the pressure threshold is calculated by a timer, and it is determined whether the duration that the pressure is greater than the pressure threshold is greater than a preset time, if the duration that the pressure is greater than the pressure threshold is greater than the preset time, the process goes to step S304, and when the duration that the pressure is greater than the pressure threshold is not greater than the preset time, the process returns to step S301;

step S304: determining that the pressure sensor is an effective pressure sensor, and adding 1 to a counting result j;

when the duration time that the pressure is greater than the pressure threshold is greater than the preset time, determining that the pressure sensor is an effective pressure sensor, and meanwhile, counting the number of the effective pressure sensors, specifically, setting a counting result j, wherein an initial value of the counting result j is set to zero, and the counting result j is used for counting the effective pressure sensors. In the method, the pressure sensor can be determined to be an effective pressure sensor by judging that the duration time of the pressure greater than the pressure threshold is greater than the preset time. Both judgment methods can determine whether the pressure sensor is an effective pressure sensor, and when the pressure sensor is determined to be the effective pressure sensor, 1 is added to a counting result j;

step S305: judging whether the counting result exceeds a quantity threshold value;

specifically, whether the number of the effective pressure sensors exceeds a number threshold is judged through a preset number threshold, that is, whether the counting result exceeds the number threshold is judged;

if the number of the effective pressure sensors exceeds the number threshold, the method proceeds to step S306:

if the number of the effective pressure sensors does not exceed the number threshold, the step S307 is performed;

step S306: the intelligent seat is in a manned use state;

specifically, when the counting result j exceeds a number threshold value, the intelligent seat is confirmed to be in a person using state, and at the moment, the pressure of the pressure sensor is normally collected;

step S307: the intelligent seat is in an unmanned use state;

specifically, when the counting result j does not exceed the number threshold, the intelligent seat is confirmed to be in an unmanned state, and at this time, exception handling is performed.

The pressure of a single pressure sensor is collected, whether the pressure is larger than a preset pressure threshold value or not is judged, whether the duration time of the pressure larger than the pressure threshold value is larger than preset time or not is judged, and/or whether the number of times is larger than a preset number threshold value or not is judged according to the number of times that the pressure collected in the preset time is larger than the preset pressure threshold value, whether the pressure sensor is an effective pressure sensor or not is determined, whether the number of the effective pressure sensors is larger than the number threshold value or not is judged by counting the effective pressure sensors, and the service state of the intelligent seat is determined. Through the mode, the embodiment of the invention can judge whether the pressure sensor is an effective pressure sensor and can determine the use state of the intelligent seat.

Referring to fig. 4 and 5 together, fig. 4 is an overall schematic view of an intelligent seat according to an embodiment of the present invention, fig. 5 is a schematic view of a backrest of an intelligent seat according to an embodiment of the present invention,

as shown in fig. 4, the smart seat 100 includes: a backrest 10, a seat cushion 20, and a signal processing device 30;

as shown in fig. 5, the backrest 10 includes several backrest pressure sensors 11; the plurality of backrest pressure sensors 11 are distributed on the backrest 10 in an array form, wherein the plurality of backrest pressure sensors 11 may be designed differently according to actual needs, and may be distributed in a matrix form, a circumferential array form, or other array forms.

The plurality of backrest pressure sensors 11 are used for detecting the pressure applied to the backrest by the back of the user when the user uses the smart chair 100. According to the embodiment, the effective area of the backrest can be determined, and the sitting posture of a user can be recognized according to the area change of the effective area of the backrest and the pressure change of the effective area. When a user sits on the smart chair 100, if the body of the user leans forward, the back will leave the backrest, the area of the effective area of the backrest will be reduced, and the pressure applied to the backrest will be reduced, if the body of the user leans backward, the area of the effective area of the backrest will be increased, and the pressure applied to the backrest will be increased, so that the forward or backward leaning of the body of the user can be judged according to the area change and the pressure change of the effective area of the backrest.

Referring to fig. 6, fig. 6 is a schematic flow chart illustrating a method for determining a sitting posture of a user according to a backrest according to an embodiment of the present invention;

as shown in fig. 6, the method includes:

step S601: acquiring a first effective area of an effective pressure sensor positioned on a backrest;

specifically, a first effective area of an effective pressure sensor positioned on the backrest is obtained; the first effective area is the area of an effective area on the backrest, the position of the effective sensor is positioned by determining the effective sensor, so that the position of the effective sensor is determined as the effective area, and the first effective area of the effective pressure sensor on the backrest is obtained by calculating the area of the effective area.

Step S602: presetting a first area threshold range, and judging the size relation between the first effective area and the first area threshold range;

specifically, a first area threshold range is preset, and the first area threshold range is an area range of an effective area on the backrest when the user sits normally. It will be appreciated that the user may not be fully seated in an ideal position, and within a suitable tolerance range, the user's sitting posture may be considered correct, and the first area threshold range in the method is the tolerance range of the area of the effective area of the user's backrest. The first area threshold range may be set manually.

Step S603: and determining the sitting posture of the user to be forward leaning or backward leaning according to the size relation between the first effective area and the first area threshold range.

Specifically, the size relationship between the first effective area and the first area threshold range is judged by presetting the first area threshold range, and the user's sitting posture can be determined to be forward leaning or backward leaning according to the size relationship between the first effective area and the first area threshold range. If the first effective area is larger than the maximum value of the first area threshold range, determining that the sitting posture of the user is backward leaning; and if the first effective area is smaller than or equal to the minimum value of the first area threshold range, determining that the sitting posture of the user is forward leaning. For example, the area of the effective region corresponding to the standard sitting posture is preset, the area of the effective region corresponding to the standard sitting posture is determined in advance according to the height and the weight provided by the user in advance, at this time, the first area threshold range is set to be 80% -120% of the area of the effective region corresponding to the standard sitting posture, if the first effective area is larger than 120% of the area of the effective region corresponding to the standard sitting posture, the sitting posture of the user is determined to be backward leaning, and if the first effective area is smaller than or equal to 80% of the area of the effective region corresponding to the standard sitting posture, the sitting posture of the user is determined to be forward leaning. The first area threshold range may be specifically set according to specific needs, for example, the first area threshold range may be set to be 90% to 110% of an area of an effective region corresponding to a standard sitting posture, and so on. By setting the first area threshold range, the user can be simply judged to lean forward or lean backward in sitting posture according to the size relation between the first effective area and the first area threshold range.

Preferably, the forward leaning degree or the backward leaning degree of the sitting posture of the user can be more effectively judged by judging the pressure change of the effective pressure sensor on the backrest and combining the size relation between the first effective area and the first area threshold range in the method.

Specifically, calculating a first pressure average value of all the effective pressure sensors on the backrest;

presetting a first pressure threshold range, and acquiring the size relation between the first pressure average value and the first pressure threshold range; according to the size relation between the first pressure average value and the first pressure threshold range, the forward leaning degree of the sitting posture of the user can be judged.

For example: the standard pressure average value can be calculated in advance, the standard pressure average value is a pressure average value in a standard sitting posture, the pressure average value in the standard sitting posture is determined according to height and weight provided by a user in advance, a first pressure threshold value range is set to be 60% -80% of the standard pressure average value, if the first pressure average value is smaller than 60% of the standard pressure average value, the sitting posture of the user is determined to be severely forward inclined, and if the first pressure average value is within a range of 60% -80% of the standard pressure average value, the sitting posture of the user is determined to be slightly forward inclined.

Presetting a second pressure threshold range, and judging the size relation between the first pressure average value and the second pressure threshold range;

For example: a second pressure threshold range may be set to 120% to 140% of the standard pressure average, and if the second pressure average is greater than 140% of the standard pressure average, the user's sitting posture is determined to be a heavy recline, and if the second pressure average is within an interval of 120% to 140% of the standard pressure average, the user's sitting posture is determined to be a light recline.

Preferably, the user sitting posture can be simply judged to be a left inclination or a right inclination according to the area size of the effective areas of the left area and the right area of the backrest and the pressure size of the effective areas of the left area and the right area of the backrest.

Specifically, the backrest is divided into a left half part and a right half part according to a midline in the left-right direction, the areas of the left half part and the right half part are equal, the pressure and the area of the effective region of the left half part of the backrest are obtained, the pressure and the area of the effective region of the right half part of the backrest are obtained at the same time, the pressure and the area size relationship of the effective region of the left and the right two regions on the backrest are compared, and the user sitting posture is determined according to the pressure and the area size relationship of the left half part and the right half part of the effective region on the backrest and the size relationship of the areas of the effective region of the left half part and the right half part. For example: the method comprises the steps of calculating the difference value between the area of the effective area of the left half part of the backrest and the area of the effective area of the right half part of the backrest, determining the magnitude relation between the proportion and a preset proportion threshold value according to the proportion of the difference value in the smaller part of the left half part and the right half part, determining whether the effective area is obviously deviated to the left side or the right side, meanwhile, calculating the pressure average value of the effective area of the left half part of the backrest and the pressure average value of the right half part of the backrest, judging the magnitude of the pressure average value of the left half part and the right half part of the backrest, calculating the magnitude relation between the left side pressure and the right side pressure of the backrest, and combining whether the effective area of the backrest is obviously deviated to the left side or the right side to obtain the left inclination degree or the right inclination degree of a user.

Specifically, when the pressure of the left half part of the backrest is large and the effective area of the backrest is obviously deviated to the left side, determining that the sitting posture of the user is seriously leaned to the left; when the pressure of the left half part of the backrest of the user is higher, but the effective area of the backrest does not obviously deviate to the left side, determining that the sitting posture of the user is slightly inclined to the left; and when the pressure of the right half part of the backrest is higher and the effective area of the backrest is obviously deviated to the right side, determining that the sitting posture of the user is seriously right inclined, and when the pressure of the right half part of the backrest is higher and the effective area of the backrest is not obviously deviated to the right side, determining that the sitting posture of the user is slightly right inclined.

The sitting posture determination method comprises the steps of presetting a first area threshold range, a first pressure threshold range and a second pressure threshold range through the area change of an effective area of a backrest and the pressure change of the effective area, judging the size relation between the first effective area and the first area threshold range, combining the relation between a first pressure average value and the first pressure threshold range and the second pressure threshold range, and determining the sitting posture of a user according to the size relation between the pressure and the area of the effective area of a left half part and the pressure and the area of the effective area of a right half part on the backrest. Through the mode, the sitting posture of the user can be determined according to the area change and the pressure change of the backrest.

Referring to fig. 7 and 8 together, fig. 7 is a schematic view of a seat cushion of an intelligent seat according to an embodiment of the present invention; FIG. 8 is a diagram illustrating a distribution of center of gravity of a human body of a cushion of a smart seat according to an embodiment of the present invention;

as shown in fig. 7, the seat cushion 20 includes a plurality of seat cushion pressure sensors 21, wherein the plurality of seat cushion pressure sensors 21 are distributed in the seat cushion 20 in an array form, wherein the plurality of seat cushion pressure sensors 21 may be designed differently according to actual needs, and may be distributed in a matrix form, a circumferential array form, or other array forms.

The plurality of chair cushion pressure sensors 21 are used for detecting the pressure applied to the chair cushion by the buttocks and the legs when the user uses the intelligent chair. The chair cushion pressure sensor 21 collects the multipath pressure signals applied to the chair cushion by the buttocks and the legs, the multipath pressure signals are preprocessed, and since the pressure signals born by the chair cushion are low-frequency signals with slow change, the chair cushion pressure sensor 21 needs to perform low-pass filtering on the pressure signals in the collection process of the pressure signals.

As shown in fig. 8, the seat cushion 20 includes a seat cushion effective area 211, a center of gravity distribution area 2111 is distributed on the seat cushion effective area, and the center of gravity distribution area 2111 is an area where the center of gravity of the user sits on the smart seat. By judging the change of the position of the center of gravity of the user, the body posture of the user can be determined.

Referring to fig. 9, fig. 9 is a schematic flow chart illustrating a method for determining a sitting posture of a user according to a seat cushion according to an embodiment of the present invention;

as shown in fig. 9, the method includes:

step S901: equally dividing an effective area on the chair cushion into a plurality of areas;

specifically, in order to accurately position the center of gravity of the user, the effective area on the seat cushion is equally divided into a plurality of areas; for example: the effective area of the chair cushion can be divided into 16 areas according to the quartering line in the front-back direction and the left-right direction, or can be divided into 25 areas according to the quartering line in the front-back direction and the left-right direction, and other dividing modes, and the specific dividing mode can be set according to specific requirements. By dividing the effective area, the gravity center position of the user can be better determined, and the sitting posture of the user can be judged conveniently.

Step S902: calculating an average pressure within each of the number of regions;

specifically, in order to determine the area where the area with the largest pressure is located as the center, the average pressure in each area of the plurality of areas is calculated, wherein a plurality of seat cushion pressure sensors are distributed in each area, the pressure collected by all the seat cushion pressure sensors in each area is summed, and the summed pressures are averaged according to the number of the seat cushion pressure sensors in each area to obtain the average pressure of each area.

Step S903: determining the area with the maximum average pressure as the gravity center position of the user;

specifically, the calculated average pressure of each region is compared, and the region with the largest average pressure is determined as the position of the center of gravity of the user. And 2-4 adjacent areas with the maximum average pressure can be found out to be used as the gravity center areas of the user, and the gravity center of the user is positioned in the areas. The body posture of the user can be conveniently judged by positioning the gravity center position of the user.

Step S904: determining the body posture of the user according to the change of the gravity center position of the user;

specifically, the body posture of the user is determined according to the change of the gravity center position of the user by detecting the gravity center position of the user in real time; the interval time may be set, the position of the center of gravity of the user may be detected every interval time, and whether the center of gravity of the user is shifted in the front-rear left-right direction may be determined according to a change trend of the center of gravity of the user. For example: the interval time can be set to be 1 minute, the gravity center position of the user is detected every 1 minute, and the body posture of the user is determined according to the change of the gravity center position of the user; if the gravity center position of the user shifts leftwards, determining that the body posture of the user is a left-leaning posture; if the gravity center position of the user shifts to the right, determining that the body posture of the user is a right-leaning posture; if the gravity center position of the user shifts forwards, determining that the body posture of the user is a forward-leaning posture; and if the gravity center position of the user deviates backwards, determining that the body posture of the user is a backward leaning posture.

Step S905: determining the sitting posture of the user according to the change of the gravity center position of the user and the body posture of the user and/or the pressure change of the backrest;

specifically, in the above embodiment, the sitting posture of the user can be recognized by the area change of the effective area of the backrest and the pressure change, and on the basis of the above embodiment, the sitting posture of the user can be accurately obtained by combining the change of the position of the center of gravity of the user and the pressure change of the backrest. By combining the change of the gravity center position of the user, the area change of the effective area of the backrest and the pressure change, the sitting posture of the user is accurately obtained. Specifically, the sitting posture of the user is judged to be forward leaning or backward leaning through the size relation between the first effective area of the backrest and the first area threshold range;

if the gravity center of the user is detected to be shifted forwards, and the sitting posture of the user is determined to be forward inclined through the backrest, determining that the sitting posture of the user is severely forward inclined;

if it is detected that the center of gravity of the user is shifted backward and the sitting posture of the user is determined to be backward by the backrest, it is determined that the sitting posture of the user is severely backward.

Specifically, the sitting posture of the user can be determined according to the body posture of the user and the change of the gravity center position of the user. Specifically, the body posture of the user may be determined by the position of the center of gravity of the user, or the body posture of the user may be determined by the back pressure. The user's body posture includes: forward lean, backward lean, left lean and right lean.

If the gravity center position of the user is detected to be shifted forwards, and the body posture of the user is forward leaning, determining that the sitting posture of the user is a serious forward leaning posture;

if the gravity center position of the user is detected to be shifted backwards, and the body posture of the user is backward, determining that the sitting posture of the user is a serious backward leaning posture;

if the gravity center position of the user is detected to be shifted leftwards, and the body posture of the user is left inclined, determining that the sitting posture of the user is a serious left inclined posture;

if the gravity center position of the user is detected to be shifted leftwards, but the body posture of the user does not incline leftwards, determining that the sitting posture of the user is a slight leftward inclining posture;

if the gravity center position of the user is detected to be shifted to the right and the body posture of the user is a body right inclination, determining that the sitting posture of the user is a serious right inclination posture;

and if the gravity center position of the user is detected to be shifted to the right, but the body posture of the user does not have a right inclination, determining that the sitting posture of the user is a slight right inclination posture.

In the embodiment of the invention, whether the leg posture of the user is correct or not is further judged by judging the symmetry of the effective area of the seat cushion and combining the change of the gravity center position of the user.

Specifically, the effective area on the seat cushion is divided into a left half part and a right half part according to a midline in the left-right direction, and the areas of the left half part and the right half part of the user on the seat cushion are obtained;

calculating a difference between the area of the left half and the area of the right half;

presetting a second area threshold, and judging the symmetry of the effective area according to the size relation between the difference and the second area threshold.

If the difference value is larger than or equal to the second area threshold value, judging that the symmetry of the effective area is poor;

and if the difference value is smaller than the second area threshold value, judging that the symmetry of the effective area is good.

And determining whether the sitting posture of the user is correct or not according to the sitting posture of the user, and if not, reminding the user to correct the sitting posture through voice.

Specifically, by recognizing the sitting posture of the user, if the sitting posture of the user is slight left inclination, severe left inclination, slight right inclination, severe right inclination, slight forward inclination, severe forward inclination, slight backward inclination, severe backward inclination, slight wrong leg posture and severe wrong leg posture, the sitting posture of the user is determined to be incorrect, otherwise, the sitting posture of the user is determined to be correct. When the user's position of sitting is incorrect, report the user's position of sitting through the pronunciation to the pronunciation reminds the user how to rectify the position of sitting, for example: if the current sitting posture of the user is seriously left inclined, the voice broadcast of the sitting posture of the user is seriously left inclined, and the user is reminded to adjust the sitting posture rightwards so as to ensure that the sitting posture is correct. When the user's sitting posture is correct, the user's sitting posture is announced to the pronunciation as correct to make the user continue to keep the correct sitting posture. The sitting posture log of the user can be generated by regularly detecting the sitting posture of the user, and the sitting posture habit of the user is analyzed according to the sitting posture log of the user to remind the user of improving the sitting posture habit.

Determining the body posture of the user by detecting the change of the gravity center position of the user, and determining the sitting posture of the user according to the change of the gravity center position of the user and the change of the body posture and/or the pressure of the backrest of the user. According to the sitting posture of the user, the user is reminded to correct the sitting posture through voice. Through the mode, the sitting posture recognition method and device can accurately recognize the sitting posture of the user.

Referring to fig. 10 and 11 together, fig. 10 is a schematic structural diagram of an intelligent seat according to an embodiment of the present invention, fig. 11 is a schematic structural diagram of a processor according to an embodiment of the present invention,

as shown in fig. 10, the smart seat 100 includes: a backrest 10, a seat cushion 20, and a signal processing device 30, wherein the signal processing device includes: a processor 31 and a memory 32.

As shown in fig. 11, the signal processing apparatus 30 includes one or more processors 31 and a memory 32. In fig. 10, one processor 31 is taken as an example.

The processor 31 and the memory 32 may be connected by a bus or other means, and fig. 10 illustrates the connection by a bus as an example.

The memory 32 is a non-volatile computer readable storage medium, and can be used for storing non-volatile software programs, non-volatile computer executable programs, and modules, such as units or modules corresponding to a sitting posture recognition method in the embodiment of the present invention (for example, the units or modules described in fig. 11). The processor 31 executes various functional applications of the sitting posture identifying method and data processing by running the nonvolatile software programs, instructions and modules stored in the memory 32, namely, the functions of the various modules and units of the above-described method embodiment sitting posture identifying method and the above-described apparatus embodiment are realized.

The memory 32 may include high speed random access memory and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, the memory 32 may optionally include memory located remotely from the processor 31, and these remote memories may be connected to the processor 31 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The module is stored in the memory 32 and when executed by the one or more processors 31 performs the sitting posture identification method in any of the above method embodiments, e.g. performs the steps shown in fig. 1, 6, 9 described above; the functions of the respective modules or units described in fig. 11 can also be implemented.

Referring to fig. 11 again, fig. 11 is a schematic structural diagram of a processor according to an embodiment of the present invention; as shown in fig. 11, the processor 31 includes: a signal receiving module 311, an abnormality judging module 312, a sitting posture identifying module 313, a result output module 314 and a voice reminding module 315;

the signal receiving module 311 is connected to the sitting posture identifying module 313 and the abnormality determining module 312, and is configured to receive a pressure signal acquired by the pressure sensor;

the abnormality determining module 312 is connected to the result outputting module 314, and is configured to determine a use state of the smart seat; the abnormal determination module 312 receives the multiple paths of abnormal pressure signals input by the signal receiving module 311, and determines the type of the product using abnormality. When the area of the effective sensor area of the backrest is smaller than the lowest threshold value or the pressure value acquired by the sensor is too small, outputting the effective contact which is not contacted with the backrest; when the area of the effective sensor area of the chair cushion is smaller than the lowest threshold value, the output is not effectively contacted with the chair cushion. When the pressure sensor of the chair cushion detects that the pressure value is too small or too large, the weight of the user is considered to exceed the preset range of the product by 10-200 kg, the preset range of the product can be adjusted, and an invalid user is output. When the signal receiving module 311 determines that all the pressure sensors of the seat cushion and the backrest are invalid, an unattended state is output.

The sitting posture identifying module 313 is connected to the result outputting module 314 and is used for determining the sitting posture of the user; the sitting posture identifying module 313 determines the sitting posture of the user through a pattern recognition method, including: SVM, neural network, HMM, and the like.

The result output module 314 is connected to the voice prompt module 315, and is configured to output the sitting posture of the user; wherein, the result output module 314 stores and outputs a sitting posture detection result, and the sitting posture detection result includes: a type of sitting abnormality, a time of occurrence of the sitting abnormality, a duration of the sitting abnormality, and a smart seat abnormality. Wherein the result output module 314 includes: an SD card storage device for storing output information.

The voice reminding module 315 is used for reminding the user of the sitting posture specification through voice; the voice reminding module 315 is implemented by a built-in speaker, and can remind the user of abnormal sitting posture in time, and can remind the user repeatedly if the user does not improve the sitting posture within 5 minutes.

The intelligent seat can further comprise a power supply module and a wireless module;

the power supply module is used for supplying power to the intelligent seat; specifically, for supplying power to the signal processing device 30, in order to save energy and protect environment, the power module may be a rechargeable battery with small volume and light weight, such as: polymer lithium batteries, and the like.

The wireless module is used for being connected with the mobile terminal in a wireless mode, and the wireless module can be a WIFI module, a Bluetooth module and the like. The mobile terminal comprises an APP, when the mobile terminal is connected with the intelligent seat to apply for updating data, the storage information is updated to the mobile terminal, and the APP is presented to the user in the form of a sitting posture detection log, and the APP can regularly remind the user whether the sitting posture is improved and reasonable opinions are given.

Since the apparatus embodiment and the method embodiment are based on the same concept, the contents of the apparatus embodiment may refer to the method embodiment on the premise that the contents do not conflict with each other, and are not described herein again.

Embodiments of the present invention also provide a non-transitory computer storage medium storing computer-executable instructions, which are executed by one or more processors, such as the processor 31 in fig. 10, to enable the one or more processors to perform the sitting posture identifying method, for example, to perform the steps shown in fig. 1, 6 and 9 described above; the functions of the various units described in fig. 11 may also be implemented.

The above-described embodiments of the apparatus or device are merely illustrative, wherein the unit modules described as separate parts may or may not be physically separate, and the parts displayed as module units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network module units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.

Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a general hardware platform, and certainly can also be implemented by hardware. Based on such understanding, the technical solutions mentioned above may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute the method according to each embodiment or some parts of the embodiments.

Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; within the idea of the invention, also technical features in the above embodiments or in different embodiments may be combined, steps may be implemented in any order, and there are many other variations of the different aspects of the invention as described above, which are not provided in detail for the sake of brevity; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A sitting posture identification method is applied to an intelligent seat, the intelligent seat comprises a backrest and a seat cushion, and the intelligent seat is provided with a plurality of pressure sensors, and is characterized by comprising the following steps:

collecting pressure applied to the pressure sensors by a user;

locating an active pressure sensor from the number of pressure sensors;

determining an active area from the active pressure sensor, comprising: determining the area where the effective pressure sensor is located as an effective area;

recognizing the sitting posture of a user according to the area change of the effective area and the pressure change of the effective area;

the locating an effective pressure sensor from the plurality of pressure sensors comprises:

by collecting the pressure of a single pressure sensor, presetting a pressure threshold value and preset time, and according to the pressure collected in the preset time, if the pressure collected in the preset time is greater than the preset pressure threshold value, determining that the pressure sensor is an effective pressure sensor, and positioning the effective pressure sensor.

2. The method of claim 1, further comprising:

and if the number of the effective pressure sensors does not exceed the number threshold, determining that the intelligent seat is in an unmanned use state.

3. The method of claim 1,

the pressure sensor is arranged on the backrest of the intelligent seat;

4. The method of claim 3, further comprising:

5. The method of claim 4, further comprising:

6. The method of claim 5, further comprising:

7. The method of any of claims 1-6, wherein the pressure sensor is further disposed on a cushion of the seat, the method further comprising:

calculating an average pressure within each of the number of zones;

8. The method of claim 7, further comprising:

9. The method of claim 8, further comprising:

10. The method of claim 9, wherein the active area on the seat cushion is divided into a left half and a right half according to a midline in the left-right direction, the method further comprising:

11. The method of claim 10, further comprising:

12. The method according to any one of claims 8-11, further comprising:

13. A smart seat, comprising:

at least one processor; and the number of the first and second groups,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-12.

14. The smart seat according to claim 13, wherein the pressure sensor comprises an acceleration sensor and/or a gyroscope.