CN112568878A - Vision-based pressure sensor, equipment and application method - Google Patents

Vision-based pressure sensor, equipment and application method Download PDF

Info

Publication number
CN112568878A
CN112568878A CN202011427445.XA CN202011427445A CN112568878A CN 112568878 A CN112568878 A CN 112568878A CN 202011427445 A CN202011427445 A CN 202011427445A CN 112568878 A CN112568878 A CN 112568878A
Authority
CN
China
Prior art keywords
pressure
flexible
layer
acquiring
image
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202011427445.XA
Other languages
Chinese (zh)
Inventor
魏培企
于雯珺
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CN202011427445.XA priority Critical patent/CN112568878A/en
Publication of CN112568878A publication Critical patent/CN112568878A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/48Other medical applications
    • A61B5/4854Diagnosis based on concepts of traditional oriental medicine
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802Sensor mounted on worn items
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Pathology (AREA)
  • Animal Behavior & Ethology (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Cardiology (AREA)
  • Physiology (AREA)
  • Alternative & Traditional Medicine (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

The invention relates to a pressure sensor based on vision, equipment and an application method, belonging to the technical field of pressure sensors.A flexible pressure sensing layer is attached to a target part to sense the pressure of the target part; and the data acquisition layer is used for acquiring the variable quantity of the flexible pressure-sensitive layer under the action of the pressure of the target part. The sensor can sense the compression condition in an array mode, can be widely used in the fields of pulse detection, corresponding body health conditions and disease monitoring as an intelligent pulse diagnosis instrument or corresponding wearable equipment, and can be used as flexible array robot skin in the fields of robots and the like. When the pulse diagnosis device is used, the operation is convenient and fast, the human health condition is analyzed by obtaining the two-dimensional arrayed pressure data of the human pulse, and the technical problem that the pulse diagnosis technology in the prior art can not diagnose the physiological information of the human body only through a single physiological signal is solved.

Description

Vision-based pressure sensor, equipment and application method
Technical Field
The invention belongs to the technical field of human health monitoring, and particularly relates to a pressure sensor based on vision, equipment and an application method.
Background
The improvement of living standard, healthy becomes the focus of people's attention gradually, and when people pursue the comfort level of healthy monitoring, the development of flexible electron field has been promoted.
In order to realize the comfort level of monitoring the health, various wearable sensors appear on the market at present, and the user wears the sensors on the body, thereby collecting the information of the body and monitoring the health condition of the body.
However, when the pressure sensor in the prior art collects information, the accuracy is low because the pressure sensor usually analyzes the health of a human body by collecting single information.
Disclosure of Invention
In order to at least solve the above problems of the prior art, the present invention provides a vision-based pressure sensor, a device and an application method.
The technical scheme provided by the invention is as follows:
in one aspect, a vision-based pressure sensor, comprising: a flexible pressure-sensitive layer and a data acquisition layer;
the flexible pressure sensing layer is positioned at the lower part of the data acquisition layer and is in close contact with the target part; the data acquisition layer is connected with the flexible pressure sensing layer;
the flexible pressure sensing layer is attached to the target part and senses the pressure of the target part;
the data acquisition layer is used for acquiring the variable quantity of the flexible pressure-sensitive layer under the action of the pressure of the target part.
Optionally, the method further includes: a data processing layer;
the data processing layer is positioned at the upper part of the data acquisition layer; and the data processing layer is used for acquiring the preset characteristics of the target part corresponding to the variable quantity based on the preset variable quantity and the mapping model.
Optionally, the target site includes: the target part of the human body, the variable quantity comprises pulse pressure variable quantity, the mapping model comprises a pathological mapping model, and the preset characteristics comprise the health condition and pathological features of the human body; or the like, or, alternatively,
the target site includes: the surface of an object grabbed by the manipulator, wherein the variable quantity comprises pressure sensing quantity of a pressure sensor positioned at different positions of the manipulator, the position of the pressure sensor, and the space state and the motion state of the manipulator, the mapping model comprises an object apparent physical characteristic mapping model, and the preset characteristics comprise the shape of the object grabbed by the manipulator and the hardness degree of the object grabbed by the manipulator at different positions; or the like, or, alternatively,
the target site includes: the variable quantity comprises a pressure perception quantity of a vision-based pressure sensor arranged on the mechanical foot in an array mode, and a space state and a motion state of the mechanical foot, the mapping model comprises an object apparent physical characteristic mapping model, and the preset characteristics comprise a landform and a surface material physical condition characteristic of the position of the mechanical foot.
Optionally, flexible tips are arranged on the flexible pressure sensing layer in an arrayed manner; the number of the flexible tips is at least one;
the flexible tip is in a tetrahedron shape, a semispherical shape or a flexible transparent spherical shape; or, the flexible pressure-sensitive layer is a flat layer; or the like, or, alternatively,
the tip of the flexible pressure sensitive layer is coated with a coating comprising: a press polish coating or a press heat coating; or the like, or, alternatively,
the surface of the flexible tip is covered with a layer of calendaring material or autoclaving material.
Optionally, the data acquisition layer includes: an image pressure signal conversion device; the image pressure signal conversion device comprises an image sensor or a common camera or a night vision camera or a thermal imaging sensor;
the image pressure signal conversion device is matched with the material of the flexible pressure sensing layer according to a preset rule;
the flexible pressure sensing layer is a flexible transparent pressure sensing layer, and the image pressure signal conversion device is a night vision camera, or a combination of a common camera and an LED lamp or a common image sensor; or the like, or, alternatively,
the flexible pressure sensing layer is a flexible pressure sensing layer made of a calendaring material, and the image pressure signal conversion device is at least one of a common image sensor, a night vision camera and a common camera; or the like, or, alternatively,
the flexible pressure sensing layer is a flexible pressure-heat material pressure sensing layer, and the image pressure signal conversion device is a thermal imaging sensor.
In yet another aspect, an apparatus includes: a contact portion that contacts a target portion, the contact portion being provided with any of the vision-based pressure sensors described above.
In yet another aspect, a method of applying a vision-based pressure sensor includes:
acquiring the variable quantity of the pressure-sensitive layer under the action of the pressure of the target part;
and acquiring preset characteristics of the target part corresponding to the variable quantity based on the preset variable quantity and the mapping model and the variable quantity.
Optionally, the application method is a human body condition monitoring method, including:
acquiring the variable quantity of the pressure sensing layer under the action of the pulse pressure of a target user;
based on the preset variation and the pathological mapping model, and the variation, the health condition and pathological features of the human body corresponding to the variation are obtained, or,
the application method is a human body condition monitoring method, and comprises the following steps:
acquiring the variable quantity of the pressure-sensitive layer under the action of the pressure of the target part;
and acquiring the apparent physical characteristics of the object corresponding to the variation based on a preset variation and object apparent physical characteristic mapping model, the variation and the corresponding space state and motion state of a manipulator and a mechanical foot.
Optionally, the variation includes: at least one of a deformation image, a deformation image video, an array pressure signal and an array pressure signal change sequence; based on preset variation and a mapping model, the variation is obtained, and the preset characteristic of the target part corresponding to the variation is obtained, including:
acquiring the human health condition and pathological features of a target user according to a preset deformation image, a pathological mapping model and the deformation image; or the like, or, alternatively,
acquiring the human health condition and pathological features of a target user according to a preset deformation image video, a pathological mapping model and the deformation image video; or the like, or, alternatively,
processing the variable quantity to obtain an arrayed pressure signal;
acquiring the human health condition and pathological features of a target user according to a preset array pressure signal, a pathological mapping model and the array pressure signal; or the like, or, alternatively,
processing the variable quantity to obtain an array pressure signal change sequence;
acquiring human health conditions and pathological characteristics of a target user according to the array pressure signal change sequence, a pathological mapping model and the array pressure signal change sequence; or the like, or, alternatively,
acquiring the apparent physical characteristics of the object at the target part according to a preset deformation image, an object apparent physical characteristic mapping model and the deformation image; or the like, or, alternatively,
acquiring the apparent physical characteristics of the object at the target part according to a preset deformation image video, an object apparent physical characteristic mapping model and the deformation image video; or the like, or, alternatively,
processing the variable quantity to obtain an arrayed pressure signal;
acquiring an object apparent physical characteristic of a target part according to a preset array pressure signal, an object apparent physical characteristic mapping model and the array pressure signal; or the like, or, alternatively,
processing the variable quantity to obtain an array pressure signal change sequence;
and acquiring the apparent physical characteristics of the object at the target part according to the array pressure signal change sequence, the object apparent physical characteristic mapping model and the array pressure signal change sequence.
Optionally, the processing the variation to obtain the arrayed pressure signal includes at least one of the following conditions:
determining the change information of the contact area of the flexible light-transmitting photosensitive laminated layer and the flexible part; acquiring arrayed pressure information according to the change information of the contact area; or the like, or, alternatively,
determining deformation information of a contact part of the flexible light-transmitting pressure-sensing layer when the flexible light-transmitting pressure-sensing layer is in contact with the rigid part; acquiring arrayed pressure information according to the deformation information; or the like, or, alternatively,
determining circumferential elastic deformation information generated by the whole pressure of the flexible light-transmitting pressure-sensing layer; acquiring arrayed pressure information according to the circumferential elastic deformation information; or the like, or, alternatively,
the flexible pressure sensing layer is made of a calendaring material and is a flexible calendaring material pressure sensing layer; determining different luminous images and information generated after the pressure sensing layer of the flexible calendaring material is pressed; acquiring arrayed pressure information according to the different light information; or the like, or, alternatively,
the flexible pressure sensing layer is made of a pressure heat material and is a flexible pressure heat material pressure sensing layer; determining heat information generated after the pressure sensing layer of the flexible pressure-heat material is pressed; acquiring arrayed pressure heat distribution by using a thermal imaging sensor according to the heat information so as to acquire arrayed pressure information; or the like, or, alternatively,
a flexible pressure sensitive layer comprising: a flexible transparent elastic pressure layer; determining image information generated after the flexible transparent elastic pressure sensing layer is pressed; according to the image information, post-processing the image information to obtain arrayed pressure signal distribution so as to obtain physical condition information or object apparent physical characteristics of a patient or directly processing the video image to obtain physiological signals of a wearer and potential diseases or corresponding or object apparent physical characteristics; or the like, or, alternatively,
a flexible calendered material pressure sensitive layer comprising: a flexible calendered material pressure sensitive layer; determining image information generated after the pressure sensing layer of the flexible calendaring material is pressed; according to the image information, post-processing the image information to obtain arrayed pressure signal distribution so as to obtain physiological conditions or object apparent physical characteristics of the patient or directly processing the video image or the night vision video image so as to obtain physiological signals and potential diseases or object apparent physical characteristics of the wearer; or the like, or, alternatively,
a flexible autoclave material pressure sensitive layer comprising: a flexible autoclave material pressure sensitive layer; determining thermal imaging image information generated after the flexible pressure-heat material pressure sensing layer is pressed; according to the image information, the image information and the retrograde motion post-processing are carried out, and arrayed pressure signal distribution is obtained, so that the physiological condition or the object apparent physical characteristics of the patient are obtained, or the thermal imaging video image is directly processed, so that the physiological signal and the potential disease or the object apparent physical characteristics of the wearer are obtained.
The invention has the beneficial effects that:
according to the vision-based pressure sensor, the equipment and the application method provided by the embodiment of the invention, the flexible pressure sensing layer is attached to the target part to sense the pressure of the target part; and the data acquisition layer is used for acquiring the variable quantity of the flexible pressure-sensitive layer under the action of the pressure of the target part. The sensor can sense the compression condition in an array mode, can be widely used in the fields of pulse detection, corresponding body health conditions and disease monitoring as an intelligent pulse diagnosis instrument or corresponding wearable equipment, and can be used as flexible array robot skin in the fields of robots and the like. When the pulse diagnosis device is used, the operation is convenient and fast, the human health condition is analyzed by obtaining the two-dimensional arrayed pressure data of the human pulse, and the technical problem that the pulse diagnosis technology in the prior art can not diagnose the physiological information of the human body only through a single physiological signal is solved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of a vision-based pressure sensor according to an embodiment of the present invention;
FIG. 2 is a schematic illustration of an embodiment of an embedding scheme;
fig. 3 is a schematic structural diagram of an apparatus according to an embodiment of the present invention;
FIG. 4 is a flow chart illustrating a method for applying a vision-based pressure sensor according to an embodiment of the present invention;
FIG. 5 is a schematic view of the deformation of a flexible pressure sensitive layer when in contact with a flexible object;
FIG. 6 is a schematic view of the deformation of a flexible pressure sensitive layer in contact with a hard object;
FIG. 7 is a schematic view of the deformation of the flexible pressure sensitive layer upon contact with an elastic object;
FIG. 8 is a schematic structural diagram of a flexible pressure-sensitive layer according to an embodiment of the present invention;
FIG. 9 is a schematic view of a detailed structure of a data acquisition layer according to an embodiment of the present invention;
fig. 10 is a schematic structural diagram of a vision-based pressure sensor unit according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without any inventive step, are within the scope of the present invention.
In order to solve at least the technical problems set forth in the present invention, embodiments of the present invention provide a vision-based pressure sensor.
Fig. 1 is a schematic structural diagram of a vision-based pressure sensor according to an embodiment of the present invention, and referring to fig. 1, the vision-based pressure sensor provided in the present application may include: a flexible pressure sensitive layer 51, a data acquisition layer 52. The data acquisition layer can be provided with a camera or an image sensor A and the like. And may further include a data processing layer 53 and a data display layer 54. A photodiode or a phototransistor may be used in the flexible pressure sensing unit.
The flexible pressure-sensitive layer 51 is positioned at the lower part of the data acquisition layer 52 and is in close contact with the target part, the data processing layer 53 is positioned at the upper part of the data acquisition layer 52, and the data display layer 54 is positioned at the upper part of the data processing layer 53; the data acquisition layer is respectively connected with the flexible pressure sensing layer and the data processing layer; the data display layer is connected with the data processing layer; a flexible pressure-sensitive layer 51 which is attached to the target user site and senses the pressure of the target site; and the data acquisition layer 52 is used for acquiring the variation of the flexible pressure-sensitive layer under the pressure of the target part.
In a specific implementation process, the target portion may be a body portion of a person whose health condition is to be monitored, or may be a surface of an object grasped by a robot hand, and the like, which is not specifically limited herein. Thereby, the vision-based pressure sensor provided by the present application monitors the human body condition or the external condition information of the robot.
The data acquisition layer may include an image pressure conversion device, the flexible pressure sensing layer may be a flexible tip, fig. 10 is a schematic structural diagram of a pressure sensor unit based on vision according to an embodiment of the present invention, referring to fig. 10, a schematic structural diagram of a certain unit is illustrated, the pressure sensor unit includes a flexible tip and an image pressure conversion device, and in a specific implementation process, one pressure sensor unit based on vision may be adopted, or the pressure sensor unit may be arranged in an array manner on the basis of the unit.
Optionally, a data processing layer 53 located on top of the data acquisition layer; and the data processing layer is used for acquiring the preset characteristics of the target part corresponding to the variable quantity based on the preset variable quantity, the mapping model and the variable quantity. And the data display layer 54 is used for displaying the data generated by the data acquisition layer and the data processing layer.
Optionally, the target site includes: the variation comprises pulse pressure variation, the mapping model comprises a pathological mapping model, and the preset characteristics comprise the health condition and pathological features of the human body; or the like, or, alternatively,
the target site includes: the surface of an object grabbed by the manipulator is changed in quantity, wherein the variable quantity comprises pressure sensing quantity of a pressure sensor positioned at different positions of the manipulator, the position of the pressure sensor and the space state and motion state of the manipulator, the mapping model comprises an object apparent physical characteristic mapping model, and the preset characteristics comprise the shape of the object grabbed by the manipulator and the hardness degree of the object grabbed by the manipulator at different positions; or the like, or, alternatively,
the target site includes: the variable quantity comprises the pressure perception quantity of a vision-based pressure sensor arranged on the mechanical foot in an array mode, the space state and the motion state of the mechanical foot, the mapping model comprises an object apparent physical characteristic mapping model, and the preset characteristics comprise the landform and surface material physical condition characteristics of the position of the mechanical foot.
For example, when a human body is measured, a pathological mapping model may be constructed in advance, and the pathological mapping model is a model in which a variation corresponds to a pathological condition, so that the pulse pressure variation of the human body is input to a preset pathological mapping model to obtain a health condition of the human body corresponding to the pulse pressure variation.
For example, when the vision-based pressure sensor of the present application is used on the surface of an object grasped by the manipulator, an object apparent physical characteristic mapping model may be constructed in advance, where the object apparent physical characteristic mapping model is a correspondence between a variation and a shape of the object and a degree of hardness at different positions, so that the shape of the object grasped by the manipulator and the degree of hardness at different positions are obtained by using a pressure sensing amount of the pressure sensor and a position of the pressure sensor at different positions of the manipulator and a spatial state and a motion state of the manipulator.
For example, when the vision-based pressure sensor of the present application is used at the position of the mechanical foot, an object apparent physical characteristic mapping model may be constructed in advance, where the object apparent physical characteristic mapping model is a corresponding relation between the variation and the topographic features and the physical condition characteristics of the surface material at the position of the mechanical foot, so as to determine the topographic features and the physical condition characteristics of the surface material at the position of the mechanical foot by measuring the pressure sensing quantity of the vision-based pressure sensor arranged in an array on the mechanical foot and the spatial state and the motion state of the mechanical foot.
For example, the image, the spatial state of the manipulator, the motion state, and the position distribution of the sensors may be combined to determine the shape of the object and the degree of softness at different positions; firstly, the shape of an object can be determined according to the distribution of sensors on a manipulator and the space state of the manipulator; the spatial state of the manipulator is the current position state of the manipulator.
In some embodiments, optionally, flexible tips are arrayed on the flexible pressure sensing layer; the number of the flexible tips is at least one; the shape of the flexible tip can be tetrahedral, hemispherical or flexible transparent spherical; or the flexible pressure-sensitive layer is a flat layer; or the like, or, alternatively,
the tip of the flexible pressure sensitive layer may be coated with a coating comprising: a calendaring coating or a calendaring coating, wherein the coating can be a fluorescent coating; or the like, or, alternatively,
the flexible tip surface is covered or embedded with a layer of calendered or autoclaved material.
For example, fig. 2 is a schematic diagram of an embedding scheme according to an embodiment of the present invention. Referring to fig. 2, the embedding principle may be: the liquid calendaring or autoclaving material, which solidifies after heating, cures the underlying substrate, then adds calendaring or autoclaving material to the surface, and then cures the calendaring or autoclaving material of the surface layer to achieve embedding.
For example, the target site may be a human body, a robot gripper, or the like, and is not particularly limited herein.
In the embodiment, the surface at the tip of the flexible light-transmitting pressure sensing layer is coated with fluorescent paint, or press polish paint, or press heat paint; if the common camera is required to be added with the LED when the fluorescent paint is not coated, the LED can be not added after the paint is coated; in addition, only the calendaring coating and the flexible light-permeable calendaring layer are used, compared with the method of directly using the calendaring material to manufacture the whole flexible calendaring layer, the calendaring material can be saved, and the cost can be saved.
In some embodiments, optionally, the data acquisition layer, comprises: an image pressure signal conversion device; the image pressure signal conversion device comprises an image sensor or a common camera or a night vision camera or a thermal imaging sensor; the image pressure signal conversion device is matched with the material of the flexible pressure sensing layer according to a preset rule; the flexible pressure sensing layer is a flexible transparent pressure sensing layer, and the image pressure signal conversion device is a night vision camera, or a combination of a common camera and an LED lamp or a common image sensor; or the like, or, alternatively,
the flexible pressure sensing layer is a flexible pressure sensing layer made of a calendaring material, and the image pressure signal conversion device is at least one of a common image sensor, a night vision camera and a common camera; or the like, or, alternatively,
the flexible pressure sensing layer is a flexible pressure-heat material pressure sensing layer, and the image pressure signal conversion device is a thermal imaging sensor.
Based on one general inventive concept, the embodiment of the present application also provides an apparatus.
Fig. 3 is a schematic structural diagram of an apparatus according to an embodiment of the present invention, and referring to fig. 3, the apparatus according to the embodiment of the present invention may include: a contact portion M that is in contact with a target portion, the contact portion being provided with the vision-based pressure sensor N described above.
For example, the device is a wearable device, such as an elastic bracelet, where the elastic bracelet contacts with a human body, and the sensor described in any of the above embodiments is provided.
In some embodiments, optionally, the sensor described in any of the above embodiments may also be used as a portable or stationary intelligent information-based pulse instrument.
It should be noted that, in the embodiment of the present invention, the device is not necessarily a wearable device, and may also be applied as a dedicated medical pulse diagnosis instrument (non-wearable), may also be applied as a flexible pressure-sensitive skin of a robot, or applied to an auxiliary mechanical exoskeleton (as part of human-computer interaction), and may also be applied to a robot as part of human-computer interaction.
According to the wearable device provided by the embodiment of the invention, the variation of the flexible pressure sensing layer under the action of the pulse pressure of the target user is obtained; and acquiring the human health condition and the pathological features corresponding to the variation based on the preset variation and the pathological mapping model and the variation. When the pressure sensor is used, the method is convenient and quick, the human health condition is analyzed by obtaining the two-dimensional arrayed pressure data of the human pulse, and the technical problem that the human health condition and the pathological condition can not be diagnosed by single signal analysis in the prior art is solved.
Based on one general inventive concept, embodiments of the present invention also provide a method for applying a vision-based pressure sensor.
Fig. 4 is a schematic flow chart of an application method of a vision-based pressure sensor according to an embodiment of the present invention, and referring to fig. 4, the method according to an embodiment of the present invention may include the following steps:
and S11, acquiring the variation of the pressure-sensitive layer under the action of the pressure of the target part.
And S12, acquiring the preset characteristics of the target part corresponding to the variation based on the preset variation, the mapping model and the variation.
Optionally, the application method is a human body condition monitoring method, including: acquiring the variable quantity of the pressure sensing layer under the action of the pulse pressure of a target user; based on the preset variation and the pathological mapping model and variation, the health condition and pathological features of the human body corresponding to the variation are obtained, or,
the application method is a human body condition monitoring method, which comprises the following steps: acquiring the variable quantity of the pressure-sensitive layer under the action of the pressure of the target part; and acquiring the apparent physical characteristics of the object corresponding to the variation based on the preset variation, the mapping model of the apparent physical characteristics of the object, the variation and the corresponding mechanical arm and the space state and motion state of the mechanical foot.
For example, in the embodiment, the human health monitoring is used for illustration, and the theoretical basis of the robot is similar, which is not described herein. Acquiring the variable quantity of the flexible pressure sensing layer under the action of the pulse pressure of a target user; and acquiring the human health condition and the pathological features corresponding to the variation based on the preset variation and the pathological mapping model and the variation.
In the aspect of detecting human health, pulse information is one of the most important health information, the pulse information can reflect the health condition of a human body, and the like, and in order to accurately acquire the health condition of the human body, in the embodiment of the invention, the health condition of the human body is analyzed by obtaining two-dimensional arrayed pressure data of the human body pulse or based on image data.
In a specific implementation process, a person of the human health condition to be monitored is defined as a target user, so that the variation of the flexible pressure sensing layer under the action of the pulse pressure of the target user is collected through the human condition monitoring method of the vision-based pressure sensor provided by the application; and acquiring the human health condition and the pathological features corresponding to the variation based on the preset variation and the pathological mapping model and the variation.
For example, the flexible pressure-sensitive layer may be attached to a portion to be monitored of the target user, such as a wrist, and the pulse vibration in the wrist may generate pressure between the pulse and the flexible pressure-sensitive layer, so that the flexible pressure-sensitive layer deforms to obtain a variation amount in a preset time period, for example, the preset time period may be 30 seconds, and the like, which is not specifically limited herein. Since the variation can be formed after the flexible pressure sensing layer acts on the pulse pressure of the user, the variation can be regarded as a pulse pressure image video. Therefore, the variation can be input into the preset variation and pathology mapping model, and the human health condition and the pathology characteristics corresponding to the variation are obtained. Thereby knowing the human health condition and pathological features of the target user.
In some embodiments, optionally, the present embodiment takes the construction of the preset variation and the pathology mapping model as an example, and the description of the model construction method includes:
collecting sample variation and corresponding pathological characteristics, wherein the sample variation carries a patient data label;
training is carried out according to the sample variation and the patient data label, and a preset variation and pathology mapping model is obtained.
For example, in the present embodiment, a deep learning or knowledge graph model trained based on a large amount of variation and corresponding disease data is used as a preset variation and pathology mapping model. For example, the model can be a deep learning model, wherein the deep learning model can be obtained after training based on sample variation after the flexible transparent pressure sensing layer is subjected to force and a corresponding patient data label, and the identification label is predetermined according to a standard vision-based pulse arrayed pressure sensor and corresponds to the sample variation characteristic in a one-to-one manner. The variation may be pulse arrayed pressure data information.
In some embodiments, the variance comprises: at least one of a deformation image, a deformation image video, an array pressure signal, and an array pressure signal change sequence, wherein the deformation image may include: a video of a morphed image, a series of images taken in succession, a sequence of morphed images, etc. Based on preset variation and pathology mapping model, variation, obtain the health status and the pathological features that the variation corresponds, include:
acquiring the human health condition and pathological features of a target user according to a preset variation, a pathological mapping model and the variation; or the like, or, alternatively,
acquiring the human health condition and pathological features of a target user according to a preset deformation image video, a pathological mapping model and a deformation image video; or the like, or, alternatively,
preprocessing the variable quantity to obtain an arrayed pressure signal in the variable quantity;
acquiring the human health condition and pathological characteristics of a target user according to a preset array pressure signal, a pathological mapping model and the array pressure signal; or the like, or, alternatively,
processing the variable quantity to obtain an array pressure signal change sequence;
and acquiring the human health condition and pathological characteristics of the target user according to the array pressure signal change sequence, the pathological mapping model and the array pressure signal change sequence.
For example, when the human health condition and the pathological features of the user are obtained, the variation may be directly input into the preset variation and pathological mapping model to obtain the human health condition and the pathological features corresponding to the variation. The variation can also be preprocessed to obtain pulse arrayed pressure data, and then the pulse arrayed pressure data is input into a preset array pressure signal and a pathological mapping model, so that the health and pathological characteristics of the human body are obtained. After the arrayed pressure data of the pulse is obtained, the arrayed pressure data sequence of the pulse can be input to obtain the health and pathological characteristics of the human body, and the preset arrayed pressure signal and pathological mapping model can be the arrayed pressure data sequence of the pulse. The principle of the method for constructing the preset array pressure signal and the pathology mapping model is the same as the principle of the preset variation and the pathology mapping model construction, and details are not repeated here, please refer to the above contents.
In some embodiments, preprocessing the variance to obtain an arrayed pressure signal therein comprises:
determining the change information of the contact area of the flexible light-transmitting photosensitive laminated layer and the flexible part; acquiring arrayed pressure information according to the change information of the contact area; or the like, or, alternatively,
determining deformation information of a contact part of the flexible light-transmitting pressure-sensing layer when the flexible light-transmitting pressure-sensing layer is in contact with the rigid part; acquiring arrayed pressure information according to the deformation information; or the like, or, alternatively,
determining circumferential elastic deformation information generated by the whole pressure of the flexible light-transmitting pressure-sensing layer; acquiring arrayed pressure information according to the circumferential elastic deformation information; or the like, or, alternatively,
the determination can be made by combining the three.
The flexible light-transmitting press layer is made of press polish materials and is a flexible press polish material pressure sensing layer; determining different luminous images and information generated after the pressure sensing layer of the flexible calendaring material is pressed; acquiring arrayed pressure information according to different images and information; or the like, or, alternatively,
the flexible light-transmitting pressure sensing layer is made of a heat pressing material and is a flexible heat pressing material pressure sensing layer; determining heat information generated after the pressure sensing layer of the flexible pressure-heat material is pressed; acquiring arrayed pressure and heat distribution by using a thermal imaging sensor according to heat information so as to obtain pulse arrayed pressure distribution; or the like, or, alternatively,
a flexible pressure sensitive layer comprising: a flexible transparent elastic pressure layer; determining image information generated after the flexible transparent elastic pressure sensing layer is pressed; acquiring the arrayed pressure signal distribution by using an image sensor according to image information so as to obtain the physiological condition of a patient or directly processing a video image to obtain the physiological signal and potential diseases of a wearer; or the like, or, alternatively,
a flexible calendered material pressure sensitive layer comprising: a flexible calendered material pressure sensitive layer; determining image information generated after the pressure sensing layer of the flexible calendaring material is pressed; acquiring arrayed pressure signal distribution by using an image sensor or a night vision sensor according to image information so as to acquire the physiological condition of a patient or directly processing a video image or a night vision video image so as to acquire the physiological signal and potential diseases of a wearer; or the like, or, alternatively,
a flexible autoclave material pressure sensitive layer comprising: a flexible autoclave material pressure sensitive layer; determining image information generated after the pressure sensing layer of the flexible pressure-heat material is pressed; the thermal imaging sensor is used for acquiring the arrayed pressure signal distribution according to the image information so as to acquire the physiological condition of a patient or directly processing the thermal imaging video image so as to acquire the physiological signal and potential diseases of a wearer.
In this embodiment, a flexible pressure sensitive layer comprises: a flexible transparent elastic pressure layer; determining image information generated after the flexible transparent elastic pressure sensing layer is pressed (including a deformation image of the flexible transparent elastic pressure sensing layer and an image generated by interaction with the environment (such as a contact area between the flexible transparent elastic pressure sensing layer and an object); the image sensor (including a common image sensor, a night vision image sensor, or an unknown novel image sensor) is used for acquiring the arrayed pressure signal distribution according to the image information, so that the physiological condition (including various health information, potential diseases and the like) of the patient can be acquired, or the video image can be directly processed to acquire the physiological signal, the potential diseases and the like of the wearer.
In the aspect of detecting human health, pulse information is one of the most important health information, the pulse information can reflect the health condition of a human body, and the like, in order to obtain the health condition of a human body, two-dimensional arrayed pressure data of the pulse of the human body needs to be obtained, and existing wearable sensors in the current market can only measure a single pressure signal of the whole pulse and cannot obtain the two-dimensional arrayed pressure data of the pulse.
In this embodiment, a principle of acquiring an arrayed pressure signal by the flexible pressure-sensitive layer is explained.
Fig. 5 is a schematic view of the deformation of a flexible pressure sensitive layer when in contact with a flexible object.
For example, the target user may be a wrist or a chest, and the flexible pressure sensing layer may be deformed when subjected to pressure. When the flexible pressure sensing layer is in contact with the flexible substance, the flexible substance is deformed due to pressure, so that the contact area between the flexible pressure sensing tip and the flexible substance is changed, and an arrayed pressure signal is obtained. Alternatively, referring to fig. 5, when the flexible pressure sensing layer is in contact with a soft object, the tip is in contact with the soft object under pressure, and the tip penetrates into the soft object, so that the soft object covers part of the tip, and the contact area and the contact form are changed, thereby being embodied on the image. When the preset model is constructed, the model is constructed according to the changed area and the pathology.
Optionally, the flexible tip may not be provided, only one layer of flat and smooth pressure-heat material is used, and the distribution of the thermal imaging image can be obtained by using the thermal imaging sensor, so that the pulse arrayed pressure signal distribution can be obtained, which is not described in detail in this embodiment.
Fig. 6 is a schematic view of the deformation of the flexible pressure sensitive layer when in contact with a hard object.
For example, referring to fig. 6, when the flexible pressure sensing layer is in contact with the hard substance, the flexible pressure sensing tip is subjected to pressure, so that deformation occurs at the flexible pressure sensing tip, and the contact area between the flexible pressure sensing tip and the hard substance is changed, so that arrayed pressure data is obtained. The tip of the flexible pressure layer is pressed to contact with the hard object, the tip is flattened, and the image of the tip is seen to be enlarged on the image.
FIG. 7 is a schematic view of the deformation of the flexible pressure sensitive layer upon contact with an elastic object.
For example, referring to fig. 7, when the flexible pressure sensing layer is subjected to pressure, the flexible pressure sensing tip is subjected to pressure as a whole, and the flexible pressure sensing tip is subjected to circumferential elastic deformation due to poisson's principle, so that the flexible pressure sensing tip reacts on a video image to obtain an arrayed pressure signal. Due to poisson's theorem, when the elastic body is subjected to pressure, the elastic body expands in the direction perpendicular to the pressure, generates expansion deformation and is reflected on the image sensor.
The three situations can also be generated simultaneously, and in this case, the image can be received, and the information of the three types of deformation in the image can be analyzed, so that the total arrayed pressure information can be obtained.
For example, the flexible pressure sensing layer may be a flexible press polish material pressure sensing layer, and after the flexible press polish material pressure sensing layer receives pressure, the flexible press polish material pressure sensing layer emits corresponding different lights due to corresponding different pressures, so that a common video image sensor can obtain corresponding signals, and further obtain arrayed pressure signals.
For example, the flexible pressure sensing layer can be a flexible pressure-sensitive thermal material pressure sensing layer, and the flexible pressure-sensitive thermal material pressure sensing layer is subjected to pressure, and when the pressure-sensitive thermal material is subjected to corresponding pressure, corresponding heat can be generated, so that corresponding video images can be obtained by sensors such as a thermal imaging sensor, and corresponding arrayed pressure signals can be obtained.
In this embodiment, if the sensor used is a thermal imaging sensor pressurized thermal material, the pressure sensing layer may be flat; alternatively, the sensor may be a calendered material or flat.
In the embodiment of the invention, the preset variation and pathology mapping model can be a decoupling model, the decoupling model can be a model based on a deep learning technology, can also be a model based on a traditional machine learning technology, and can also be a model based on the combination of the traditional machine learning technology and the deep learning technology, the pathology is analyzed by using the technologies such as knowledge maps, and the decoupling model comprises but is not limited to the models, and can also be a model adopting some novel technologies or a model combining multiple novel or traditional technologies.
In this embodiment, the flexible pressure sensing tips are arrayed, so that arrayed pressure data can be collected and analyzed, and the monitoring result is more accurate.
In the embodiment, the surface at the tip of the flexible light-transmitting pressure sensing layer is coated with fluorescent paint, or press polish paint, or press heat paint; if the common camera is required to be added with the LED when the fluorescent paint is not coated, the LED can be not added after the paint is coated; in addition, only the calendaring coating and the flexible light-permeable calendaring layer are used, compared with the method of directly using the calendaring material to manufacture the whole flexible calendaring layer, the calendaring material can be saved, and the cost can be saved.
In this embodiment, the variation after the pressure is applied may be obtained by a pressure sensing unit, for example, the pressure sensing unit includes: a photosensitive element and a pressure image conversion device; the pressure image conversion apparatus includes: a flexible tip; the photosensitive element is used for obtaining corresponding images or light intensity.
For example, the photosensitive element may be a photodiode, a phototransistor, an image sensor, a solid-state image sensor, a photoconductive camera tube, or the like. The amount of change in the target portion can be obtained by using a plurality of pressure-sensitive units in common.
For example, in one particular implementation, the data processing layer may be embedded directly into the pressure sensing unit for use.
The pressure sensing unit of this embodiment can carry out the array and arrange and can be applied to human health and detect, and as pulse pressure sensor or other types of sensor, can be applied to the robot field as the flexible pressure sensing skin of robot, also can be used to other each fields that are suitable for.
According to the human body condition monitoring method of the vision-based pressure sensor, provided by the embodiment of the invention, the variation of the flexible pressure sensing layer under the action of the pulse pressure of a target user is obtained; and acquiring the human health condition and the pathological features corresponding to the variation based on the preset variation and the pathological mapping model and the variation. When the device is used, the device is convenient and quick, the health condition of a human body is analyzed by obtaining two-dimensional arrayed pressure data of human body pulse, and the technical problem that in the prior art, single signal analysis cannot be carried out, so that pathology cannot be diagnosed is solved.
Fig. 8 is a schematic structural diagram of a flexible pressure-sensitive layer according to an embodiment of the present invention, in which a flexible tip is a triangular pyramid for example, which is used for illustration, and it should be noted that the drawings are only for illustration and not for limitation.
Fig. 9 is a schematic view of a specific structure of a data acquisition layer according to an embodiment of the present invention, and referring to fig. 9, an image sensor a or a camera may be disposed on the data acquisition layer, so as to acquire deformation information of the flexible pressure-sensitive layer.
In some embodiments, optionally, the data acquisition layer, comprises: an image sensor or a night vision camera or a thermal imaging sensor;
the image sensor is matched with the material of the flexible pressure-sensitive layer according to a preset rule.
In some embodiments, optionally, the flexible pressure sensing layer is a flexible pressure sensing layer, the image sensor is a night vision camera, or a combination of a common image sensor and an LED lamp; or the like, or, alternatively,
the flexible pressure sensing layer is a flexible pressure sensing layer made of a calendaring material, and the image sensor is at least one of a common image sensor, a camera and a night vision camera; or the like, or, alternatively,
the flexible pressure sensing layer is a flexible pressure and heat material pressure sensing layer, and the image sensor is a thermal imaging sensor.
In some embodiments, the flexible stretchable transparent pressure sensing layer is made of a material selected from the group consisting of: PDMS, Ecoflex, etc.
With regard to the sensor in the above-described embodiment, the specific manner in which the respective components perform operations has been described in detail in relation to the embodiment of the method, and will not be elaborated upon here.
The data processing layer can be provided with a data processing chip, and the data processing chip can be an artificial intelligent chip such as a brain-like neural network chip and the like, and can also be other types of chips capable of completing corresponding functions.
According to the pulse arrayed pressure sensor provided by the embodiment of the invention, the variation of the flexible pressure sensing layer under the action of the pulse pressure of a target user is obtained; and acquiring the human health condition and the pathological features corresponding to the variation based on the preset variation and the pathological mapping model and the variation. When the pressure sensor is used, the pressure sensor is convenient and quick to use, the health condition of a human body is analyzed by obtaining two-dimensional arrayed pressure data of human body pulse, and the technical problem that in the prior art, single signal analysis cannot be carried out on pathology is solved.
Optionally, the variation includes: at least one of a deformation image, a deformation image video, an array pressure signal and an array pressure signal change sequence; based on preset variation and mapping model, variation, obtain the preset characteristic of the target portion that the variation corresponds, include:
acquiring the human health condition and pathological features of a target user according to a preset deformation image, a pathological mapping model and the deformation image; or the like, or, alternatively,
acquiring the human health condition and pathological features of a target user according to a preset deformation image video, a pathological mapping model and a deformation image video; or the like, or, alternatively,
processing the variable quantity to obtain an arrayed pressure signal in the variable quantity;
acquiring the human health condition and pathological characteristics of a target user according to a preset array pressure signal, a pathological mapping model and the array pressure signal; or the like, or, alternatively,
processing the variable quantity to obtain an array pressure signal change sequence;
acquiring the human health condition and pathological features of a target user according to the array pressure signal change sequence, the pathological mapping model and the array pressure signal change sequence; or the like, or, alternatively,
acquiring the apparent physical characteristics of the object at the target part according to the preset deformation image, the object apparent physical characteristic mapping model and the deformation image; or the like, or, alternatively,
acquiring the apparent physical characteristics of the object at the target part according to the preset deformation image video, the object apparent physical characteristic mapping model and the deformation image video; or the like, or, alternatively,
processing the variable quantity to obtain an arrayed pressure signal in the variable quantity;
acquiring the apparent physical characteristics of the object at the target part according to the preset array pressure signal, the object apparent physical characteristic mapping model and the array pressure signal; or the like, or, alternatively,
processing the variable quantity to obtain an array pressure signal change sequence;
and acquiring the object apparent physical characteristics of the target part according to the array pressure signal change sequence, the object apparent physical characteristic mapping model and the array pressure signal change sequence.
Optionally, processing the variation to obtain an arrayed pressure signal therein includes at least one of the following conditions:
determining the change information of the contact area of the flexible light-transmitting photosensitive laminated layer and the flexible part; acquiring arrayed pressure information according to the change information of the contact area; or the like, or, alternatively,
determining deformation information of a contact part of the flexible light-transmitting pressure-sensing layer when the flexible light-transmitting pressure-sensing layer is in contact with the rigid part; acquiring arrayed pressure information according to the deformation information; or the like, or, alternatively,
determining circumferential elastic deformation information generated by the whole pressure of the flexible light-transmitting pressure-sensing layer; acquiring arrayed pressure information according to the circumferential elastic deformation information; or the like, or, alternatively,
the flexible pressure sensing layer is made of a calendaring material and is a flexible calendaring material pressure sensing layer; determining different luminous images and information generated after the pressure sensing layer of the flexible calendaring material is pressed; acquiring arrayed pressure information according to different optical information; or the like, or, alternatively,
the flexible pressure sensing layer is made of a pressure heat material and is a flexible pressure heat material pressure sensing layer; determining heat information generated after the pressure sensing layer of the flexible pressure-heat material is pressed; acquiring arrayed pressure heat distribution by using a thermal imaging sensor according to heat information so as to acquire arrayed pressure information; or the like, or, alternatively,
a flexible pressure sensitive layer comprising: a flexible transparent elastic pressure layer; determining image information generated after the flexible transparent elastic pressure sensing layer is pressed; acquiring arrayed pressure signal distribution by using an image pressure signal conversion device according to image information so as to acquire physical condition information or object apparent physical characteristics of a patient or directly processing a video image to acquire physiological signals of a wearer and potential diseases or corresponding or object apparent physical characteristics; or the like, or, alternatively,
a flexible calendered material pressure sensitive layer comprising: a flexible calendered material pressure sensitive layer; determining image information generated after the pressure sensing layer of the flexible calendaring material is pressed; acquiring arrayed pressure signal distribution by using an image pressure signal conversion device according to image information so as to obtain physiological conditions or object apparent physical characteristics of patients or directly processing video images or night vision video images so as to obtain physiological signals and potential diseases or object apparent physical characteristics of wearers; or the like, or, alternatively,
a flexible autoclave material pressure sensitive layer comprising: a flexible autoclave material pressure sensitive layer; determining image information generated after the pressure sensing layer of the flexible pressure-heat material is pressed; the thermal imaging sensor is used for acquiring the arrayed pressure signal distribution according to the image information so as to obtain the physiological condition or the apparent physical characteristics of the object of the patient or directly process the thermal imaging video image so as to obtain the physiological signal and the potential disease or the apparent physical characteristics of the object of the wearer.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that the terms "first," "second," and the like in the description of the present invention are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present invention, the meaning of "a plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.

Claims (10)

1. A vision-based pressure sensor, comprising: a flexible pressure-sensitive layer and a data acquisition layer;
the flexible pressure sensing layer is positioned at the lower part of the data acquisition layer and is in close contact with the target part; the data acquisition layer is connected with the flexible pressure sensing layer;
the flexible pressure sensing layer is attached to the target part and senses the pressure of the target part;
the data acquisition layer is used for acquiring the variable quantity of the flexible pressure-sensitive layer under the action of the pressure of the target part.
2. The sensor of claim 1, further comprising: a data processing layer;
the data processing layer is positioned at the upper part of the data acquisition layer; and the data processing layer is used for acquiring the preset characteristics of the target part corresponding to the variable quantity based on the preset variable quantity and the mapping model.
3. The sensor of claim 2, wherein the target site comprises: the target part of the human body, the variable quantity comprises pulse pressure variable quantity, the mapping model comprises a pathological mapping model, and the preset characteristics comprise the health condition and pathological features of the human body; or the like, or, alternatively,
the target site includes: the surface of an object grabbed by the manipulator, wherein the variable quantity comprises pressure sensing quantity of a pressure sensor positioned at different positions of the manipulator, the position of the pressure sensor, and the space state and the motion state of the manipulator, the mapping model comprises an object apparent physical characteristic mapping model, and the preset characteristics comprise the shape of the object grabbed by the manipulator and the hardness degree of the object grabbed by the manipulator at different positions; or the like, or, alternatively,
the target site includes: the variable quantity comprises a pressure perception quantity of a vision-based pressure sensor arranged on the mechanical foot in an array mode, and a space state and a motion state of the mechanical foot, the mapping model comprises an object apparent physical characteristic mapping model, and the preset characteristics comprise a landform and a surface material physical condition characteristic of the position of the mechanical foot.
4. The sensor of claim 1, wherein the flexible pressure sensing layer is provided with flexible tips arrayed thereon; the number of the flexible tips is at least one;
the flexible tip is in a tetrahedron shape, a semispherical shape or a flexible transparent spherical shape; or, the flexible pressure-sensitive layer is a flat layer; or the like, or, alternatively,
the tip of the flexible pressure sensitive layer is coated with a coating comprising: a press polish coating or a press heat coating; or the like, or, alternatively,
the flexible tip surface is embedded with a layer of calendered or autoclaved material.
5. The sensor of claim 1, wherein the data acquisition layer comprises: an image pressure signal conversion device; the image pressure signal conversion device comprises an image sensor or a common camera or a night vision camera or a thermal imaging sensor;
the image pressure signal conversion device is matched with the material of the flexible pressure sensing layer according to a preset rule;
the flexible pressure sensing layer is a flexible transparent pressure sensing layer, and the image pressure signal conversion device is a night vision camera, or a combination of a common camera and an LED lamp or a common image sensor; or the like, or, alternatively,
the flexible pressure sensing layer is a flexible pressure sensing layer made of a calendaring material, and the image pressure signal conversion device is at least one of a common image sensor, a night vision camera and a common camera; or the like, or, alternatively,
the flexible pressure sensing layer is a flexible pressure-heat material pressure sensing layer, and the image pressure signal conversion device is a thermal imaging sensor.
6. An apparatus, comprising: a contact site for contacting a target site, the contact site being provided with a vision-based pressure sensor of any one of claims 1-6 above.
7. A method of using a vision-based pressure sensor, comprising:
acquiring the variable quantity of the pressure-sensitive layer under the action of the pressure of the target part;
and acquiring preset characteristics of the target part corresponding to the variable quantity based on the preset variable quantity and the mapping model and the variable quantity.
8. The method according to claim 7, wherein the application method is a human condition monitoring method, comprising:
acquiring the variable quantity of the pressure sensing layer under the action of the pulse pressure of a target user;
based on the preset variation and the pathological mapping model, and the variation, the health condition and pathological features of the human body corresponding to the variation are obtained, or,
the application method is a human body condition monitoring method, and comprises the following steps:
acquiring the variable quantity of the pressure-sensitive layer under the action of the pressure of the target part;
and acquiring the apparent physical characteristics of the object corresponding to the variation based on a preset variation and object apparent physical characteristic mapping model, the variation and the corresponding space state and motion state of a manipulator and a mechanical foot.
9. The method of claim 6, wherein the variance comprises: at least one of a deformation image, a deformation image video, an array pressure signal and an array pressure signal change sequence; based on preset variation and a mapping model, the variation is obtained, and the preset characteristic of the target part corresponding to the variation is obtained, including:
acquiring the human health condition and pathological features of a target user according to a preset deformation image, a pathological mapping model and the deformation image; or the like, or, alternatively,
acquiring the human health condition and pathological features of a target user according to a preset deformation image video, a pathological mapping model and the deformation image video; or the like, or, alternatively,
processing the variable quantity to obtain an arrayed pressure signal;
acquiring the human health condition and pathological features of a target user according to a preset array pressure signal, a pathological mapping model and the array pressure signal; or the like, or, alternatively,
processing the variable quantity to obtain an array pressure signal change sequence;
acquiring human health conditions and pathological characteristics of a target user according to the array pressure signal change sequence, a pathological mapping model and the array pressure signal change sequence; or the like, or, alternatively,
acquiring the apparent physical characteristics of the object at the target part according to a preset deformation image, an object apparent physical characteristic mapping model and the deformation image; or the like, or, alternatively,
acquiring the apparent physical characteristics of the object at the target part according to a preset deformation image video, an object apparent physical characteristic mapping model and the deformation image video; or the like, or, alternatively,
processing the variable quantity to obtain an arrayed pressure signal;
acquiring an object apparent physical characteristic of a target part according to a preset array pressure signal, an object apparent physical characteristic mapping model and the array pressure signal; or the like, or, alternatively,
processing the variable quantity to obtain an array pressure signal change sequence;
and acquiring the apparent physical characteristics of the object at the target part according to the array pressure signal change sequence, the object apparent physical characteristic mapping model and the array pressure signal change sequence.
10. The method of claim 9, wherein processing the variance to obtain an arrayed pressure signal comprises at least one of:
determining the change information of the contact area of the flexible light-transmitting photosensitive laminated layer and the flexible part; acquiring arrayed pressure information according to the change information of the contact area; or the like, or, alternatively,
determining deformation information of a contact part of the flexible light-transmitting pressure-sensing layer when the flexible light-transmitting pressure-sensing layer is in contact with the rigid part; acquiring arrayed pressure information according to the deformation information; or the like, or, alternatively,
determining circumferential elastic deformation information generated by the whole pressure of the flexible light-transmitting pressure-sensing layer; acquiring arrayed pressure information according to the circumferential elastic deformation information; or the like, or, alternatively,
the flexible pressure sensing layer is made of a calendaring material and is a flexible calendaring material pressure sensing layer; determining different luminous images and information generated after the pressure sensing layer of the flexible calendaring material is pressed; acquiring arrayed pressure information according to the different light information; or the like, or, alternatively,
the flexible pressure sensing layer is made of a pressure heat material and is a flexible pressure heat material pressure sensing layer; determining heat information generated after the pressure sensing layer of the flexible pressure-heat material is pressed; acquiring arrayed pressure heat distribution by using a thermal imaging sensor according to the heat information so as to acquire arrayed pressure information; or the like, or, alternatively,
a flexible pressure sensitive layer comprising: a flexible transparent elastic pressure layer; determining image information generated after the flexible transparent elastic pressure sensing layer is pressed; acquiring arrayed pressure signal distribution by using an image pressure signal conversion device according to the image information so as to acquire physical condition information or object apparent physical characteristics of a patient or directly processing a video image to acquire physiological signals of a wearer and potential diseases or corresponding or object apparent physical characteristics; or the like, or, alternatively,
a flexible calendered material pressure sensitive layer comprising: a flexible calendered material pressure sensitive layer; determining image information generated after the pressure sensing layer of the flexible calendaring material is pressed; acquiring arrayed pressure signal distribution by using an image pressure signal conversion device according to the image information so as to obtain physiological conditions or object apparent physical characteristics of patients or directly processing video images or night vision video images so as to obtain physiological signals and potential diseases or object apparent physical characteristics of wearers; or the like, or, alternatively,
a flexible autoclave material pressure sensitive layer comprising: a flexible autoclave material pressure sensitive layer; determining image information generated after the pressure sensing layer of the flexible pressure-heat material is pressed; and acquiring arrayed pressure signal distribution by using a thermal imaging sensor according to the image information so as to obtain the physiological condition or object apparent physical characteristics of the patient or directly processing the thermal imaging video image to obtain the physiological signal and potential diseases or object apparent physical characteristics of the wearer.
CN202011427445.XA 2020-12-09 2020-12-09 Vision-based pressure sensor, equipment and application method Pending CN112568878A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011427445.XA CN112568878A (en) 2020-12-09 2020-12-09 Vision-based pressure sensor, equipment and application method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011427445.XA CN112568878A (en) 2020-12-09 2020-12-09 Vision-based pressure sensor, equipment and application method

Publications (1)

Publication Number Publication Date
CN112568878A true CN112568878A (en) 2021-03-30

Family

ID=75128038

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011427445.XA Pending CN112568878A (en) 2020-12-09 2020-12-09 Vision-based pressure sensor, equipment and application method

Country Status (1)

Country Link
CN (1) CN112568878A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114043507A (en) * 2021-11-24 2022-02-15 南方科技大学 Force sensor, robot and application method of force sensor
CN114659460A (en) * 2022-04-12 2022-06-24 深圳市松果体机器人科技有限公司 Device for collecting massage signals
CN114043507B (en) * 2021-11-24 2024-05-31 南方科技大学 Force sensor, robot and application method of force sensor

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007147443A (en) * 2005-11-28 2007-06-14 Nitta Ind Corp Optical touch sensor
CN107979984A (en) * 2016-12-30 2018-05-01 深圳配天智能技术研究院有限公司 A kind of pulse condition detecting devices and method
CN108760111A (en) * 2018-05-22 2018-11-06 京东方科技集团股份有限公司 Pressure sensor and preparation method, pressure sensitive method and display device
CN109176590A (en) * 2018-10-18 2019-01-11 山东大学 A kind of flexible finger tip, device and method with the sliding feel perception of pressure
CN110542497A (en) * 2019-10-15 2019-12-06 中国科学院电子学研究所 meniscus-like distributed pressure sensor for knee replacement and method of making same

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007147443A (en) * 2005-11-28 2007-06-14 Nitta Ind Corp Optical touch sensor
CN107979984A (en) * 2016-12-30 2018-05-01 深圳配天智能技术研究院有限公司 A kind of pulse condition detecting devices and method
CN108760111A (en) * 2018-05-22 2018-11-06 京东方科技集团股份有限公司 Pressure sensor and preparation method, pressure sensitive method and display device
CN109176590A (en) * 2018-10-18 2019-01-11 山东大学 A kind of flexible finger tip, device and method with the sliding feel perception of pressure
CN110542497A (en) * 2019-10-15 2019-12-06 中国科学院电子学研究所 meniscus-like distributed pressure sensor for knee replacement and method of making same

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114043507A (en) * 2021-11-24 2022-02-15 南方科技大学 Force sensor, robot and application method of force sensor
CN114043507B (en) * 2021-11-24 2024-05-31 南方科技大学 Force sensor, robot and application method of force sensor
CN114659460A (en) * 2022-04-12 2022-06-24 深圳市松果体机器人科技有限公司 Device for collecting massage signals

Similar Documents

Publication Publication Date Title
Fujiwara et al. Optical fiber force myography sensor for identification of hand postures
CN206641449U (en) A kind of pressure sensitivity Intelligent insole and Intelligent sole pressure monitor system
EP2793688A1 (en) System for and method of quantifying on-body palpitation for improved medical diagnosis
Won et al. Tactile sensing systems for tumor characterization: A review
US10687710B2 (en) Device and method for palpation of tissues for characterization and mechanical differentiation of subcutaneous structures
CN112568878A (en) Vision-based pressure sensor, equipment and application method
RU2706534C1 (en) Segmented electrode
Xie et al. Wearable multisource quantitative gait analysis of Parkinson's diseases
CN108324283B (en) Recording method for pain
Hernandez-Ossa et al. Haptic feedback for remote clinical palpation examination
CN112120679A (en) Pulse detection equipment and manufacturing method thereof
CN210931350U (en) Piezoelectric type skin detector
CN211460251U (en) Abdominal wall tension monitoring system
KR101859670B1 (en) Apparatus for measuring in-shoe pressure with weight
Fei et al. Development of a wearable human gait analysis system based on plantar pressure sensors
Lang Optical tactile sensors for medical palpation
CN207851520U (en) A kind of watchcase of wrist-watch for physiological parameter measurement
CN114670224B (en) Fingertip touch information acquisition device
Gao et al. Insole systems for disease diagnosis and rehabilitation
CN111110246A (en) Gait analysis system based on high-deformation strain type sensor
Yeh et al. Smart tape for monitoring human joint motion and sweat with unique stiffness design of piezoelectric sensing mechanisim in stretching and bending motion
US20230233900A1 (en) Method and apparatus for determining biological movement
CN212698871U (en) Abnormal gait data acquisition and display device
CN114869270B (en) Gait analysis method based on fusion of small animal image and plantar pressure data
CN210902976U (en) Pulse detection equipment

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
CB02 Change of applicant information
CB02 Change of applicant information

Address after: 100000 East Campus of Beijing University of chemical technology, No. 15, North Third Ring East Road, Chaoyang District, Beijing

Applicant after: Wei Peiqi

Address before: 455000 No.34, back street, liangshao village, Yindu District, Anyang City, Henan Province

Applicant before: Wei Peiqi