WO2022141495A1

WO2022141495A1 - Seat

Info

Publication number: WO2022141495A1
Application number: PCT/CN2020/142365
Authority: WO
Inventors: 焦旭
Original assignee: 焦旭
Priority date: 2020-12-31
Filing date: 2020-12-31
Publication date: 2022-07-07
Also published as: CN113038872B; TW202227008A; CN113038872A

Abstract

The present application provides a seat, so as to effectively improve the accuracy of an intelligent seat detection signal. The seat comprises: a seat cushion; a backrest, connected to the seat cushion; a seat cushion sensor array, disposed on the seat cushion and comprising a plurality of pressure sensors arranged in an array, and configured to generate a seat cushion pressure signal in response to a user pressing the seat cushion; a backrest sensor array, disposed on the backrest and comprising a plurality of pressure sensors arranged in an array, and configured to generate a backrest pressure signal in response to the user pressing the backrest; a signal processor, separately in signal connection with the seat cushion sensor array and the backrest sensor array, and configured to process the seat cushion pressure signal and the backrest pressure signal generated by the seat cushion sensor array and the backrest sensor array.

Description

a seat

technical field

The present application relates to the technical field of intelligent devices, and in particular, to a seat.

Background technique

With the development of science and technology, more and more technologies can be used for the detection of human body characteristics, and then for health monitoring and other scenarios. Health detection equipment has also been used more and more widely.

In some health detection equipment, a sensor array is used to measure the pressure change signal of a person, and the person's heartbeat, breathing, body movement and other signals are extracted from the pressure change signal, and these signals are processed to make decisions on people's health. Some hints. However, these sensor arrays are installed on one of the seat cushion and the backrest, and only collect and process data on a local area of the seat. The accuracy of the prompt information provided needs to be improved in application scenarios, or it is difficult to adapt to multiple application scenarios. .

SUMMARY OF THE INVENTION

In order to at least solve the above-mentioned problems of the background technology, the present application proposes a seat, which can effectively improve the accuracy of the detection signal of the smart seat, thereby improving the user experience.

In at least one embodiment provided by this application, a seat is provided, comprising:

seat cushion;

a backrest, connected with the seat cushion;

a seat cushion sensor array, disposed on the seat cushion and comprising a plurality of pressure sensors arranged in an array, configured to generate a seat cushion pressure signal in response to a user pressing the seat cushion;

a backrest sensor array, disposed on the backrest and comprising a plurality of pressure sensors arranged in an array, configured to generate a backrest pressure signal in response to the user pressing the backrest;

a signal processor, which is signal-connected to the seat cushion sensor array and the backrest sensor array respectively, and is configured to generate the seat cushion pressure signal and the backrest pressure signal from the seat cushion sensor array and the backrest sensor array to be processed.

In some embodiments, the signal processor is configured to extract the user's first body motion data and first heartbeat data according to the seat cushion pressure signal, and extract the user's first body motion data according to the backrest pressure signal. Two body motion data, second heartbeat data and respiration data, wherein the first heartbeat data and the second heartbeat data have the same frequency.

In some embodiments, the signal processor is configured to extract the first body motion data from the seat cushion pressure signal when detecting that the first body motion data and the second body motion data are below a first threshold The frequency of the heartbeat data; and after filtering the signal with the same frequency as the first heartbeat data in the backrest pressure signal, the remaining signal is used as the respiration signal to extract the respiration data.

In some embodiments, the signal processor detects the pressure value of each sensor on the seat cushion sensor array, and when the fluctuation range of the pressure value of each sensor within a predetermined time is less than a second threshold, it is determined that the the first body motion data is lower than the first threshold; the signal processor also detects the pressure value of each sensor on the backrest sensor array, when the fluctuation range of the pressure value of each sensor within a predetermined time is less than When the third threshold is used, it is determined that the second body motion data is lower than the first threshold.

In some implementations, the signal processor determines the user's health status according to the first body motion data and the second body motion data, the respiration data and the first heartbeat data and the second heartbeat data. Different types of behavior characteristics, and output different control instructions according to the different types of behavior characteristics.

In some embodiments, the signal processor is configured to determine whether a pressure signal generated by at least one pressure sensor in the seat cushion pressure sensor array exceeds a fourth threshold, and if so, determine that a user is sitting on the seat, And further extract the first body movement data, the first heartbeat data, the second body movement data, the second heartbeat data and the breathing data.

In some embodiments, the signal processor is configured to judge the user's emotional level according to the first heartbeat data, the second heartbeat data and the breathing data; The external device outputs a control signal to make the external device play a predetermined type of music, or outputs a control signal to an external alarm device according to the emotion level to cause the alarm device to output prompt information.

In some embodiments, the signal processor is further configured to determine the mental state of the user according to the first heartbeat data, the second heartbeat data and the breathing data, if the mental state is about to fall asleep or has already In the sleep state, a control signal is output to the external device to switch the working mode of the external device.

In some embodiments, the signal processor is further configured to output a control signal to an external device according to the body movement characteristics of the first body movement data and the second body movement data, so that the external device outputs prompt information.

In some embodiments, the signal processor is disposed on the backrest, and the seat cushion sensor array on the seat cushion is connected to the signal processor through wires; or

The signal processor is arranged on the seat cushion, and the backrest sensor array on the backrest is connected to the signal processor through lead wires.

In the present application, sensor arrays are respectively provided on the seat cushion and the backrest, and a signal processor is respectively connected to the seat cushion sensor array and the backrest sensor array for signal connection, and is configured to process all the signals generated by the seat cushion sensor array and the backrest sensor array. The seat cushion pressure signal and the backrest pressure signal are processed to effectively improve the accuracy of the detection signal of the smart seat.

Description of drawings

In order to more clearly illustrate the technical solutions of the limited embodiments of the inventive concept of the present application, the following will briefly introduce the accompanying drawings used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only For some embodiments of the present application, for those of ordinary skill in the art, other drawings can also be obtained based on these drawings without any creative effort.

1 is a schematic diagram of the overall structure of a seat according to one or more embodiments of the present application;

FIG. 2 is a schematic diagram of an array of sensors distributed on a seat cushion or a chair of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the examples in this application, all other implementations obtained by those of ordinary skill in the art without creative work fall within the protection scope of this application.

The seat provided by the inventive concept of the present application has at least a seat cushion and a backrest, and a pressure sensor array is arranged on the seat cushion and the backrest, and these pressure sensor arrays arranged at different positions can respectively detect the pressure signals generated by the user pressing the seat cushion and the backrest. . The user's body motion data and heartbeat data are extracted according to the pressure signal and provided to the signal processor.

The seat is a seat in different usage scenarios, and in some embodiments, the seat is a sofa, a bed, a chair, etc. in a home scene. In some embodiments, the seat is a car seat, a game seat, a hospital smart bed, an office seat, etc. in scenes such as a vehicle, a game hall, a hospital, and an office.

1 is an overall schematic diagram of a seat structure in at least some embodiments. Seat includes:

seat cushion 01;

The backrest 02 is connected to the seat cushion 01. Exemplarily, the connection is detachable connection or fixed connection. There may be a non-zero included angle between the seat cushion 01 and the backrest 02. Exemplarily, the The angle can be adjusted with the cooperation of the adjustment device.

a seat cushion sensor array 03, disposed on the seat cushion 01, and comprising a plurality of pressure sensors arranged in an array, configured to generate a seat cushion pressure signal in response to a user pressing the seat cushion;

a backrest sensor array 04, disposed on the backrest 02, and comprising a plurality of pressure sensors arranged in an array, configured to generate a backrest pressure signal in response to the user pressing the backrest;

The signal processor 05 is respectively connected to the seat cushion sensor array 03 and the backrest sensor array 04 in signal connection, and is configured to compare the seat cushion pressure signals generated by the seat cushion sensor array 03 and the backrest sensor array 04 with The backrest pressure signal is processed.

The physical structures mentioned in the above embodiments are exemplarily introduced below.

In the above-mentioned embodiment, the sensors may be arranged in a plurality of arrays distributed over the seat cushion. In some embodiments, there may be a plurality of sensors distributed in an array throughout a set area, which may correspond to the user's usual position on the seat cushion, such as showing the user's buttocks on some seat cushions , The sitting position of the legs, multiple array sensors can be set in this position range, and the rest areas can be set or not set according to actual needs. The setting position of the backrest sensor array 04 on the backrest is similar to the setting position of the above-mentioned seat cushion sensor, and will not be repeated here.

The pressure sensor can be a miniature pressure sensor, and each sensor is fixed on the surface of the backrest and the seat cushion, which can not only ensure that the pressure measurement pad can deform arbitrarily with the shape of the seat cushion surface, but also ensure that the relative positions between the sensors are not equal. changes to ensure the required pressure measurement accuracy. Layout of the micro pressure sensor in the pressure measurement pad.

Referring to FIG. 1 , the seat further includes a communication interface 07 for signal connection with an external device to output a control signal, and the communication interface is signally connected with the signal processor. Exemplarily, the type of the communication interface is at least one of 4G, 5G, wifi, bluetooth, infrared interface and the like.

A rotating shaft 06 is disposed between the seat cushion and the backrest, and the rotating shaft is configured to rotate the backrest relative to the seat cushion to change the angle between the seat cushion and the backrest.

Referring to FIG. 1 , the backrest 01 and the seat cushion 02 are cushions of flexible material (ie, nylon silk), and the seat cushion sensor 03 and the backrest sensor 04 are arranged on the surface of the cushion of the flexible material (ie, nylon silk).

In some embodiments, referring to FIG. 2 , the plane size of the pressure measurement pad is 500×500 mm 2 , referring to FIG. 2 , and there are 400 micro-chip pressure sensors in 20 rows and 20 columns. The size of each sensor is 10mm×10mm, the horizontal and vertical spacing is 10mm, and the horizontal and vertical spacing between each sensor is 10mm. The settings of many sensors ensure the needs of stress testing for different groups of people. It can accurately measure the pressure at each point and the maximum pressure of the human-chair contact interface. The measurement data acquisition is almost synchronous, and the acquisition of 400 channels of signals can be realized within one second.

The above-mentioned signal processors may be signal processors, the number of which may be one or more. If there are multiple signal processors, there may be multiple signal processors connected to sensors at different positions and a main signal processor. The signal processors connected to each sensor preprocess the signals and provide them to the main signal processor. The signal processor separates signals, for example, separates body motion data, heartbeat data, and respiration data from pressure signals of different magnitudes and magnitudes fed back by multiple pressure sensors at different times, and determines the corresponding control command output.

The above signal processor also includes preprocessing of the collected pressure signals, such as signal amplifier, denoising, etc., and can process, analyze, display and record each signal through special measurement and analysis software.

The signal processor is arranged on the backrest, and the seat cushion sensor array on the seat cushion is connected to the signal processor through lead wires; or

The following will exemplarily describe the content related to the processor acquiring and processing data.

Exemplarily, the seat cushion pressure signal is a signal output from one or more pressure sensors within a period of time, and the backrest pressure signal is a signal output from one or more pressure sensors within a period of time. Exemplarily, when the processor detects that the sudden change in the pressure value of the pressure sensor exceeds a threshold, the processor acquires a pressure signal that lasts for a period of time starting from this moment, and the data within the duration at least includes body motion data and when the body motion is relatively calm. heartbeat data and respiration data.

In some embodiments, the signals output by the one or more pressure sensors may be signals detected by a corresponding number of one or more pressure sensors, in other words, no pressure signals are detected by other pressure sensors. For example, the seat cushion sensor array includes 200X200 pressure sensors, and each sensor is set with a number. When the user sits on the seat cushion, some of the pressure sensors sense pressure signals and output them to the processor, and the rest of the pressure sensors are not Pressure signal detected. Of course, those skilled in the art should understand that the number of pressure sensors here is just an example, and more or less sensors may be provided in actual situations.

In some embodiments, the signal output by the one or more pressure sensors may be a signal output by a part of the pressure sensors in each sensor that senses the pressure signal. For example, pre-processing the pressure signal in each sensor, filtering out the data below the threshold as noise data, and outputting the pressure signal when the detected pressure signal is higher than the threshold.

Exemplarily, the signal processor 05 is configured to extract the first body motion data and the first heartbeat data of the user according to the seat cushion pressure signal, and extract the second data of the user according to the backrest pressure signal. Body motion data, second heartbeat data, and respiration data, wherein the first heartbeat data and the second heartbeat data have the same frequency.

In the above embodiment, compared with the seat cushion, the backrest can detect breathing data more accurately, because the user's heartbeat behavior exerts greater pressure on the backrest, and the detection result is relatively more accurate.

For the backrest or seat cushion, the same pressure sensor can simultaneously detect the user's body movement, heartbeat and breathing data, and the signal processor extracts the body movement from the pressure signal according to the pressure signal output by each sensor for a period of time. , heartbeat and respiration data.

For example, in general, when the user sits on the seat, the relative change of the body motion data at different times is relatively large in the initial period of time, and the heartbeat data is relatively regular. The relative change range is small, and even the change range is based on a tendency to 0. At this time, it is relatively easy to detect the heartbeat data. Generally, the larger the variation range, the larger the fluctuation range of the data, and the smaller the variation range, the smaller the data fluctuation range. The reference value of the variation range and the fluctuation range may be an average value within a period of data, or may be a series of data within a period of time.

Based on the above application scenarios, in some embodiments of the present application, the first step of the above technical solution includes: the signal processor is configured to detect that the first body motion data and the second body motion data are lower than a first threshold When the frequency of the first heartbeat data is extracted from the seat cushion pressure signal; and after filtering the signal with the same frequency as the first heartbeat data in the backrest pressure signal, the remaining The signal is used as the breathing signal to extract the breathing data.

It can be seen from the above embodiment that the signal processor is configured to detect that when the first body motion data and the second body motion data are lower than the first threshold value, it means that the body motion change range is small, and the data change of the pressure value is also smaller. It tends to be relatively stable, and the heartbeat data is relatively accurate after that. In order to improve the accuracy and timeliness of data extraction, the frequency of the first heartbeat data is extracted from the seat cushion pressure signal, and the signal with the same frequency as the first heartbeat data is filtered in the backrest pressure signal Afterwards; take the remaining signal in the backrest pressure signal as the breathing signal to extract the breathing data. The above technical solutions can relatively accurately and timely separate different types of signals from a pressure signal.

Wherein, in one embodiment, the signal processor detects the pressure value of each sensor on the seat cushion sensor array 03, and when the fluctuation range of the pressure value of each sensor within a predetermined time is smaller than the second threshold, Then it is determined that the first body motion data is lower than the first threshold; the signal processor also detects the pressure value of each sensor on the backrest sensor array, and when the pressure value of each sensor is within a predetermined period of time. When the fluctuation range is smaller than the third threshold, it is determined that the second body motion data is lower than the first threshold.

The second threshold and the third threshold may be the same or different, and the different second and third thresholds are all within a preset range.

It can be seen that the body motion data of the user is detected by the seat cushion sensor array 03 and the backrest sensor array 04, and the processor integrates the detection results of the seat cushion sensor array 03 and the backrest sensor array 04 to determine the body motion data; the user's heartbeat data is determined by The seat cushion sensor array 03 and the backrest sensor array 04 detect. The processor integrates the detection results of the seat cushion sensor array 03 and the backrest sensor array 04 to determine the current heartbeat data of the user. The accuracy of data detection results can be improved.

Further, before separating the above-mentioned body motion data, heartbeat data and respiration data from the data fed back by the sensor, it is necessary to judge whether the user is sitting on the seat cushion, so as to avoid placing some objects on the seat to start the technical solution of the present application. corresponding product function.

Exemplarily, the signal processor is configured to determine whether a pressure signal generated by at least one pressure sensor in the seat cushion pressure sensor array exceeds a fourth threshold, and if so, determine that a user is sitting on the seat, and further The first body movement data, the first heartbeat data, the second body movement data, the second heartbeat data, and the respiration data are extracted.

The fourth threshold may be preset by the user. For example, the driver's seat cushion is generally set within the adult weight range, and the child seat is generally set within the child's weight range.

In one or more of the above embodiments, the signal processor judges according to the first body movement data and the second body movement data, the respiration data and the first heartbeat data and the second heartbeat data. Different types of behavior characteristics of the user, and output different control instructions according to the different types of behavior characteristics.

The control instructions have different instruction contents in different scenarios. In various scenarios, the control instruction can at least be a prompt message instruction, or an instruction to control some devices to change the working mode. Wherein, changing the working mode may be starting the working or stopping the working, or switching between different working states after starting the working.

The above behavior data is used to output different control commands corresponding to different scenarios.

In some scenarios, the seat is a vehicle seat cushion with a backrest, a home seat cushion with a backrest, a sofa with a backrest, or a bed with a backrest;

The signal processor is configured to judge the user's emotional level according to the first heartbeat data, the second heartbeat data and the breathing data; output a control signal to a preset external device with a playback function according to the emotional level So that the external device can play a predetermined type of music, or output a control signal to an external alarm device according to the emotion level, so that the alarm device can output prompt information. For example, control the audio to output soft-type music when you are emotional, and control the audio to output rock music when you are down. For example, when you are emotional, control the intelligent robot to have a dialogue with the user, and the intelligent robot obtains the user's preference for listening to music according to the dialogue with the user. Like genres of music or like specific tracks. For example, when the seat is used for a patient, when it is judged that the patient is emotionally excited, a prompt message for notifying the nurse is output to the nurse-side device. The above embodiment can also control the mobile phone terminal to automatically establish communication with a third party and notify an alarm according to the emotion level.

In other scenarios, the signal processor is further configured to determine the mental state of the user according to the first heartbeat data, the second heartbeat and the breathing data, if the mental state is about to fall asleep or has fallen asleep state, output a control signal to the external device to switch the working mode of the external device. The mental state at least includes excited state, peaceful state, about to fall asleep, and already falling asleep. If the seat is a car seat cushion, when the user is about to enter the sleep state, switch the vehicle to enter the automatic driving mode, or switch the vehicle to an emergency stop, or switch the airbag of the vehicle from the non-working state to the working state, or start the player to output a warning prompt Information, such as prompting passengers or drivers to pay attention to safety and not to nap.

For example, if the seat is a sofa, when the user is about to enter a sleep state, the TV in the on state is controlled to be automatically turned off.

In other scenarios, the signal processor is further configured to output a control signal to an external device according to the body motion characteristics of the first body motion data and the second body motion data, so that the external device outputs prompt information. For example, when the car is driving on a bumpy road, there is relative movement between the user and the seat cushion. The sensor detects the user's movement and provides it to the signal processor. The signal processor recognizes the bumpy state and outputs voice broadcast prompt information to the speaker, such as please sit down. Hold steady.

In some embodiments, an intelligent system including the aforementioned seat is also provided. The intelligent system includes a seat, and may further include an electronic device that responds according to a control signal output by the seat. The electronic device for responding is, for example, home appliances such as a music player and a TV, and may also be an alarm, a prompter, a mobile phone, a vehicle-mounted computer, and the like.

The seat and the intelligent system provided by the present application have been introduced in detail above. The principles and implementations of the present application are described with specific examples. The descriptions of the above embodiments are only used to help understand the method and the core idea of the present application. At the same time, for those skilled in the art, according to the idea of the present application, various changes and improvements can also be made, and these changes and improvements should be included in the protection scope defined by the claims of the present application.

Claims

A seat, comprising:

seat cushion;

a backrest, connected with the seat cushion;

a seat cushion sensor array, disposed on the seat cushion and comprising a plurality of pressure sensors arranged in an array, configured to generate a seat cushion pressure signal in response to a user pressing the seat cushion;

a backrest sensor array, disposed on the backrest and comprising a plurality of pressure sensors arranged in an array, configured to generate a backrest pressure signal in response to the user pressing the backrest;

a signal processor, which is signal-connected to the seat cushion sensor array and the backrest sensor array respectively, and is configured to generate the seat cushion pressure signal and the backrest pressure signal from the seat cushion sensor array and the backrest sensor array to be processed.
The seat according to claim 1, wherein,

The signal processor is configured to extract the first body motion data and the first heartbeat data of the user according to the seat cushion pressure signal, and extract the second body motion data, the first heartbeat data of the user according to the backrest pressure signal. Two heartbeat data and respiration data, wherein the first heartbeat data and the second heartbeat data have the same frequency.
3. The seat according to claim 2, wherein the signal processor is configured to detect that the first body motion data and the second body motion data are lower than a first threshold value, from the seat cushion pressure The frequency of the first heartbeat data is extracted from the signal; and after filtering the signal with the same frequency as the first heartbeat data in the backrest pressure signal, the remaining signal is used as a breathing signal to extract the breathing data.
The seat tool according to claim 3, wherein the signal processor detects the pressure value of each sensor on the seat cushion sensor array, and when the fluctuation range of the pressure value of each sensor within a predetermined time is smaller than the first When there are two thresholds, it is determined that the first body motion data is lower than the first threshold; the signal processor also detects the pressure value of each sensor on the backrest sensor array, and when the pressure value of each sensor is within When the fluctuation range within a predetermined time is smaller than the third threshold, it is determined that the second body motion data is lower than the first threshold.
The seat tool according to claim 3, wherein the signal processor is based on the first body motion data and the second body motion data, the breathing data and the first heartbeat data and the second body motion data. The second heartbeat data determines different types of behavior characteristics of the user, and outputs different control instructions according to the different types of behavior characteristics.
The seat according to any one of claims 2 to 5, characterized in that:

The signal processor is configured to determine whether a pressure signal generated by at least one pressure sensor in the seat cushion pressure sensor array exceeds a fourth threshold, and if so, determine that a user is sitting on the seat, and further extract the first pressure signal. One movement data, the first heartbeat data, the second body movement data, the second heartbeat data, and the respiration data.
The seat according to claim 5, wherein,

The signal processor is configured to judge the user's emotional level according to the first heartbeat data, the second heartbeat data and the breathing data; output a control signal to a preset external device with a playback function according to the emotional level to make The external device plays a predetermined type of music, or outputs a control signal to an external alarm device according to the emotion level, so that the alarm device outputs prompt information.
The seat according to claim 5, wherein the signal processor is further configured to determine the mental state of the user according to the first heartbeat data, the second heartbeat data and the breathing data, if the mental state is When it is about to fall asleep or has fallen asleep, a control signal is output to the external device to switch the working mode of the external device.
The seat tool according to claim 5, wherein the signal processor is further configured to output a control signal to an external device according to the body movement characteristics of the first body movement data and the second body movement data, so as to enable the external device The device outputs prompt information.
The seat tool according to claim 1, wherein the signal processor is arranged on the backrest, and the seat cushion sensor array on the seat cushion is connected to the signal processor through leads; or, the signal The processor is arranged on the seat cushion, and the backrest sensor array on the backrest is connected to the signal processor through lead wires.
An intelligent system, characterized in that it comprises the seat according to any one of claims 1-10.