CN109984749A - Gesture recognition bed necessaries and gesture recognition method - Google Patents
Gesture recognition bed necessaries and gesture recognition method Download PDFInfo
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- CN109984749A CN109984749A CN201910224129.3A CN201910224129A CN109984749A CN 109984749 A CN109984749 A CN 109984749A CN 201910224129 A CN201910224129 A CN 201910224129A CN 109984749 A CN109984749 A CN 109984749A
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- 239000002356 single layer Substances 0.000 claims description 49
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- 238000009826 distribution Methods 0.000 claims description 21
- 230000008859 change Effects 0.000 claims description 19
- 230000000694 effects Effects 0.000 claims description 16
- 239000004744 fabric Substances 0.000 claims description 16
- 238000010586 diagram Methods 0.000 claims description 12
- 238000012545 processing Methods 0.000 claims description 8
- 230000005611 electricity Effects 0.000 claims description 7
- 238000012544 monitoring process Methods 0.000 claims description 7
- 230000006835 compression Effects 0.000 claims description 6
- 238000007906 compression Methods 0.000 claims description 6
- 238000004891 communication Methods 0.000 claims description 4
- 239000011810 insulating material Substances 0.000 claims description 4
- 239000000463 material Substances 0.000 claims description 3
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- 230000009471 action Effects 0.000 description 3
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- 238000013507 mapping Methods 0.000 description 3
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- 230000000994 depressogenic effect Effects 0.000 description 2
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Classifications
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1113—Local tracking of patients, e.g. in a hospital or private home
- A61B5/1115—Monitoring leaving of a patient support, e.g. a bed or a wheelchair
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1116—Determining posture transitions
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
- A61B5/6891—Furniture
Abstract
This application discloses a kind of gesture recognition bed necessaries and gesture recognition methods, wherein gesture recognition bed necessaries include bed necessaries ontology and signal acquisition module, it include multiple capacitance sensors in the bed necessaries ontology, multiple capacitance sensors are electrically connected with the signal acquisition module respectively；Multiple capacitance sensors are arranged in the bed necessaries ontology according to the first default arrangement mode along the direction that human body lies down；Comprising using electrode made of flexible extending conductive material, each described parallel with the direction that the human body lies down using electrode made of flexible extending conductive material, each capacitance sensor is not in contact with each other in each capacitance sensor.The application can accurately detect the human body coverage information of corresponding region, greatly improve the accuracy rate of gesture recognition.
Description
Technical field
This application involves field of sensing technologies, and in particular to a kind of gesture recognition bed necessaries and gesture recognition method.
Background technique
Everyone was sleeping time there are about the time of a quarter to one third in one day, the monitoring about sleep quality
Demand it is higher and higher, as monitored, whether for a long time whether the posture in user's sleep procedure comfortable, user's some position stress
Deng.In addition, for some specific crowds, such as old man, child also need early warning to fall risk.Therefore, for user in bed necessaries
On the monitoring of posture type be highly desirable.There are some intelligent mattresses on the market at present, is passed by the way that pressure is arranged on mattress
Sensor, the gravity of the human body of monitoring covering thereon, the Status Type of human body is judged according to the position of the pressure sensor of compression.
But since the human body in sleep procedure and mattress are in close contact, the pressure of the resilient support layer (such as sponge) of mattress in human body
Under can be deformed, larger displacement can then be generated therewith by being set to the pressure sensor inside mattress, and intelligent mattress is caused to be examined
The error of the depressed position measured is larger, and the human body attitude types results parsed according to depressed position are often inaccurate.
Summary of the invention
The purpose of the application is to provide a kind of gesture recognition bed necessaries and gesture recognition method, it is intended to it solves in the prior art,
Human body can not be accurately identified the posture on bed necessaries the problem of.
Present applicant proposes a kind of gesture recognition bed necessaries, including bed necessaries ontology and signal acquisition module, the bed necessaries ontology
Interior includes multiple capacitance sensors, and multiple capacitance sensors are electrically connected with the signal acquisition module respectively；It is multiple described
Capacitance sensor is arranged in the bed necessaries ontology according to the first default arrangement mode along the direction that human body lies down；Each electricity
Hold comprising using electrode made of flexible extending conductive material in sensor, it is each described using flexible extending conductive material
Manufactured electrode is parallel with the direction that the human body lies down, and each capacitance sensor is not in contact with each other.
Further, the capacitance sensor includes single-layer capacitance sensor, and the electrode of the single-layer capacitance sensor is
One layer, it is denoted as first electrode；The first electrode of the single-layer capacitance sensor is electrically connected AC power source.
Further, the bed necessaries ontology further includes upper layer of fabric, and the upper layer of fabric is along the side to lie down perpendicular to human body
To being set to above the first electrode, the thickness of the upper layer of fabric is less than preset thickness threshold value.
Further, the capacitance sensor includes double layer capacity sensor, and the electrode of the double layer capacity sensor is
Two layers, it is denoted as second electrode and third electrode, the second electrode and the third electrode are oppositely arranged；The double layer capacity passes
The second electrode and third electrode of sensor are separately connected DC power supply；The double layer capacity sensor lies down on edge perpendicular to human body
Direction, from top to bottom successively include the second electrode, the resilient support layer and third electrode, the second electrode uses
Flexible extending conductive material is made, and the resilient support layer is made of flexible extending insulating materials, the third electrode
It is made of conductive material.
Further, the third electrode is made of flexible extending conductive material.
Further, the capacitance sensor further includes single-layer capacitance sensor, the electrode of the single-layer capacitance sensor
It is one layer, is denoted as first electrode；The first electrode of the single-layer capacitance sensor is electrically connected AC power source；The single layer capacitor passes
Sensor and the double layer capacity sensor are along the direction that human body lies down, according to the second default arrangement mode in the bed necessaries ontology
It is staggered.
Further, the gesture recognition bed necessaries further include controller, and the controller is electrically connected with the bed necessaries ontology；
Signal processing module, display module and wireless communication module are also connected on the controller.
The application also proposed a kind of gesture recognition method, use above-mentioned gesture recognition bed necessaries, comprising:
The capacitance of each capacitance sensor of real-time monitoring；
Judge whether that the capacitance of at least one capacitance sensor changes；
If so, being denoted as the changed capacitance sensor of capacitance by pressure sensor, each compression is obtained respectively
The capacitance variation information of sensor；
According to each capacitance variation information by pressure sensor, posture of the human body on the gesture recognition bed necessaries is determined
Type.
Further, the type of the capacitance sensor includes single-layer capacitance sensor and double layer capacity sensor, described
The changed capacitance sensor of capacitance is denoted as and is obtained each capacitance variations by pressure sensor respectively by pressure sensor
The step of information, comprising:
The type of the changed each capacitance sensor of capacitance is judged respectively；
If the single-layer capacitance sensor, then the changed each single-layer capacitance sensor of capacitance is denoted as
First, by pressure sensor, obtains each described first first capacitor change information by pressure sensor；It is passed if the double layer capacity
The changed each double layer capacity sensor of capacitance is then denoted as second by pressure sensor, obtained each described by sensor
Second by pressure sensor the second capacitance variation information.
Further, described according to each capacitance variation information by pressure sensor, determine that human body is known in the posture
The step of posture type on other bed necessaries, comprising:
According to each described first by pressure sensor first capacitor change information, judge on the gesture recognition bed necessaries whether
There is human body；
If so, obtaining the people according to each described second position by pressure sensor on the gesture recognition bed necessaries
Overlay area of the body on the gesture recognition bed necessaries, and believed according to each described second by the second capacitance variations of pressure sensor
Breath, obtains the distribution of force information in the overlay area；
The distribution of force information in the overlay area is parsed, each stress peak value letter in the overlay area is obtained
Breath；
By the overlay area and each stress peak information, matched in preset posture types of database,
The corresponding posture type of the stress coverage diagram is determined according to matching result, wherein is stored in the posture types of database
Between each reference attitude type and the corresponding benchmark overlay area of each reference attitude type, benchmark stress peak position
Mapping relations.
Further, described according to each capacitance variation information by pressure sensor, determine that human body is known in the posture
After the step of posture type on other bed necessaries, comprising:
Judge whether the posture type of the human body changes；
If so, obtaining the consecutive variations information of the posture type of the human body；
The consecutive variations information is attempted to match in database in preset activity, institute is determined according to matching result
The activity for stating human body is attempted, wherein the activity is attempted to store the base that corresponding posture type is attempted in each activity in database
Quasi-continuous change information.
The application's the utility model has the advantages that
The gesture recognition bed necessaries and gesture recognition method of the application, by the way that multiple capacitance sensings are arranged in bed necessaries ontology
Device, comprising using electrode made of flexible extending conductive material in each capacitance sensor；Gravity in human body covering
Under effect, using electrode made of flexible extending conductive material, follow gesture recognition bed necessaries sink that deformation occurs, vertical
Direction sinks, and certain extension occurs in the horizontal direction, substantially position will not occur in the horizontal direction for the center of capacitance sensor
It moves；When human body leaves, gravity disappears, then the electrode of capacitance sensor restores to first in the vertical direction and the horizontal direction
Beginning and end deformed state.Multiple capacitance sensors are distributed along the direction that human body lies down in array, and each capacitance sensor is respectively induced
The human body coverage information of corresponding region, so as to obtain overlay area of the human body on gesture recognition bed necessaries, according to the area of coverage
The image in domain carries out the identification of human posture.Using the electrode of flexible extending conductive material, so that the center of capacitance sensor
Position will not occur substantially to be displaced in the horizontal direction, so as to accurately detect the human body coverage information of corresponding region, significantly
Improve the accuracy rate of gesture recognition.
Detailed description of the invention
Fig. 1 is the schematic diagram of the section structure of the gesture recognition bed necessaries of one embodiment of the application；
Fig. 2 is the planar structure schematic diagram of the capacitance sensor distribution of the gesture recognition bed necessaries of one embodiment of the application；
Fig. 3 is the structural schematic diagram of the single-layer capacitance sensor of one embodiment of the application；
Fig. 4 is the structural schematic diagram of the double layer capacity sensor of one embodiment of the application；
Fig. 5 is the structural schematic diagram of the double layer capacity sensor of the another embodiment of the application；
Fig. 6 is the planar structure schematic diagram of the capacitance sensor distribution of the gesture recognition bed necessaries of the another embodiment of the application；
Fig. 7 is the structural schematic block diagram of the gesture recognition bed necessaries of one embodiment of the application；
Fig. 8 is the flow diagram of the gesture recognition method of one embodiment of the application.
Appended drawing reference:
1: bed necessaries ontology；2: signal acquisition module；10: capacitance sensor；101: single-layer capacitance sensor；102: alternating current
Source；1011: first electrode；3: upper layer of fabric；111: double layer capacity sensor；112: DC power supply；1111: second electrode；
1112: resilient support layer；1113: third electrode.
The embodiments will be further described with reference to the accompanying drawings for realization, functional characteristics and the advantage of the application purpose.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete
Site preparation description, it is clear that described embodiment is only a part of the embodiment of the application, instead of all the embodiments.Base
Embodiment in the application, it is obtained by those of ordinary skill in the art without making creative efforts it is all its
His embodiment, shall fall in the protection scope of this application.
In addition, the description for being such as related to " first ", " second " in this application is used for description purposes only, and should not be understood as
Its relative importance of indication or suggestion or the quantity for implicitly indicating indicated technical characteristic.Define as a result, " first ",
The feature of " second " can explicitly or implicitly include at least one of the features.In addition, the technical side between each embodiment
Case can be combined with each other, but must be based on can be realized by those of ordinary skill in the art, when the combination of technical solution
Conflicting or cannot achieve when occur will be understood that the combination of this technical solution is not present, also not this application claims guarantor
Within the scope of shield.
Referring to Figures 1 and 2, a kind of gesture recognition bed necessaries provided by the present application, including bed necessaries ontology 1 and signal acquisition module
2, include multiple capacitance sensors 10 in the bed necessaries ontology 1, multiple capacitance sensors 10 respectively with the signal acquisition
Module 2 is electrically connected；Multiple capacitance sensors 10 are pre- according to first in the bed necessaries ontology 1 along the direction that human body lies down
If arrangement mode is arranged；Comprising using electrode made of flexible extending conductive material in each capacitance sensor 10, respectively
It is described parallel with the direction that the human body lies down using electrode made of flexible extending conductive material, each capacitance sensor
10 are not in contact with each other.
In the present embodiment, above-mentioned gesture recognition bed necessaries are used to support human body, are generally equipped with resilient support layer in inside, such as
Sponge, spring, rubber etc., including such as pillow, mattress, back cushion, can be applied not only on bed, are also widely applied to such as sand
Hair, seat etc..The multiple capacitance sensors 10 of distribution in bed necessaries ontology 1, multiple capacitance sensors 10 along the direction that human body lies down by
According to the first default arrangement mode arrangement, two adjacent capacitance sensors 10 are not in contact, mutual insulating.When there is human body covering
When, above-mentioned gesture recognition bed necessaries can sink because of stress, since the electrode of capacitance sensor 10 is using flexible extending conduction
Material is made, then electrode sinks under human bady gravitational effect in vertical direction, and certain extension, capacitance sensing occur in the horizontal direction
The center of device 10 will not occur substantially to be displaced in the horizontal direction；When human body leaves, gravity disappears, then capacitance sensing
The electrode of device 10 restores to initial undeformed state in the vertical direction and the horizontal direction.Using flexible extending conductive material
Electrode can accurately detect corresponding region so that the position of capacitance sensor 10 will not occur substantially to be displaced in the horizontal direction
Human body coverage information, greatly improve the accuracy rate of gesture recognition.Specifically, the above-mentioned extending conductive material of flexibility is preferably conductive
The conductive effective phase of sponge, conductive sponge is long, and is not influenced by temperature and humidity, has flexible and strong ductility well.
When there is human body covering, the capacitance signal of capacitance sensor 10 changes, and each capacitance sensor 10 is only respectively
Whether on the spot detect has human body covering thereon.Respective capacitance signal is separately transferred to letter by each capacitance sensor 10
Number acquisition module 2.In this way when there is human body covering, pass through the capacitor for each capacitance sensor 10 that signal acquisition module 2 acquires
Variation, overlay area of the available human body on above-mentioned gesture recognition bed necessaries.The image of overlay area is identified again, it can
To from which further follow that the posture type of human body, including such as lie on one's side, face upward lie, sitting posture.Further, existed by lasting detection human body
Posture type on above-mentioned gesture recognition bed necessaries can identify that the activity of human body is attempted according to continuous posture Change of types,
Including such as going to bed, getting up, turn over, twitch, from bed etc., such as by detect neck from bed, back from bed, waist from bed
A series of actions, then can identify the attempt of getting up of human body.
Above-mentioned first default arrangement mode can be arranged according to specifically used demand.It can be uniform in bed necessaries ontology 1
Array distribution；It can also be configured in different zones according to different density, such as in the intermediate region of bed necessaries ontology 1 with first
Density is distributed, and is distributed, the second density can be set greater than with the second density in the fringe region of bed necessaries ontology 1
First density falls risk by the capacitance sensor 10 of the fringe region of bed necessaries ontology 1 come key monitoring human body.Each capacitor
For sensor 10 under the premise of not contacting with each other, the electrode area of single capacitance sensor 10 is smaller, adjacent capacitive sensors 10
Interval it is closer, then it is finer to the Image Rendering of the overlay area of human body and accurate.
The gesture recognition bed necessaries of the present embodiment, by the way that multiple capacitance sensors 10, each capacitor are arranged in bed necessaries ontology 1
Comprising using electrode made of flexible extending conductive material in sensor 10；Under gravity in human body covering, adopt
The electrode made of flexible extending conductive material, follow gesture recognition bed necessaries sink that deformation occurs, sinks in vertical direction,
Certain extension occurs in the horizontal direction, the center of capacitance sensor 10 will not occur substantially to be displaced in the horizontal direction；Work as people
When body leaves, gravity disappears, then the electrode of capacitance sensor 10 restores to the first beginning and end in the vertical direction and the horizontal direction
Deformed state.Multiple capacitance sensors 10 are distributed along the direction that human body lies down in array, and each capacitance sensor 10 is respectively induced
The human body coverage information of corresponding region, so as to obtain overlay area of the human body on gesture recognition bed necessaries, according to the area of coverage
The image in domain carries out the identification of human posture.Using the electrode of flexible extending conductive material, so that in capacitance sensor 10
Heart position will not occur substantially to be displaced in the horizontal direction, so as to accurately detect the human body coverage information of corresponding region, greatly
The big accuracy rate for improving gesture recognition.
Referring to Fig. 3, in one embodiment, above-mentioned capacitance sensor 10 includes single-layer capacitance sensor 101, the single layer
The electrode of capacitance sensor 101 is one layer, is denoted as first electrode 1011；The first electrode of the single-layer capacitance sensor 101
1011 electrical connection AC power sources 102.
In the present embodiment, single-layer capacitance sensor 101 is that a type of capacitor that above-mentioned capacitance sensor 10 includes passes
Sensor.Single-layer capacitance sensor 101 is connected with AC power source 102, and AC power source 102 is high-frequency current.When having human body close to upper
When stating the first electrode 1011 of first capacitor device 101, since human body is conductor, human body can siphon away one from 1011 surface of first electrode
The electric current of a very little, then the capacitor of single-layer capacitance sensor 101 changes, and signal acquisition module 2 then collects capacitance variations
Information.For textile fabrics such as quilts, since quilt is not conductor, quilt etc. then will not be to the capacitor of single-layer capacitance sensor 101
Information has an impact.It can distinguish that be covered on bed necessaries ontology 1 be human body or weaving by single-layer capacitance sensor 101
Object.Signal acquisition module 2 obtains human body covering according to the capacitance variation information of collected each single-layer capacitance sensor 101
Area image, and then according to the gesture recognition of human body overlay area image progress next step.
Referring to Fig.1, in one embodiment, above-mentioned bed necessaries ontology 1 further includes upper layer of fabric 3, and the upper layer of fabric 3 is along vertical
Directly in the direction that human body lies down, it is set to 1011 top of first electrode, the thickness of the upper layer of fabric 3 is less than preset thickness
Threshold value.
In the present embodiment, above-mentioned preset thickness threshold value can be determined according to particular condition in use, in above-mentioned preset thickness
In threshold value, above-mentioned first capacitor device 101 can delicately recognize the close signal of human body.
Referring to Fig. 4, in one embodiment, above-mentioned capacitance sensor 10 further includes double layer capacity sensor 111, described double
The electrode of layer capacitance sensor 111 is two layers, is denoted as second electrode 1111 and third electrode 1113,1111 He of second electrode
The third electrode 1113 is oppositely arranged；The second electrode 1111 and third electrode 1113 of the double layer capacity sensor 111 are divided
It Lian Jie not DC power supply 112；The direction that the double layer capacity sensor 111 lies down on edge perpendicular to human body, from top to bottom successively
Including the second electrode 1111, resilient support layer 1112 and the third electrode 1113, the second electrode 1111 is using soft
Property extending conductive material be made, the resilient support layer 1112 is made of flexible extending insulating materials, the third electricity
Pole 1113 is made of conductive material.
In the present embodiment, double layer capacity sensor 111 is the another type of capacitor that above-mentioned capacitance sensor 10 includes
Sensor.Double layer capacity sensor 111 is electrically connected with DC power supply 112.When human body is covered on bed necessaries ontology 1, due to people
Body gravity, resilient support layer 1112 can sink, and second electrode 1111 is also sunk in vertical direction, second electrode 1111 and the
The distance between three electrodes 1113 reduce, then the capacitor of double layer capacity sensor 111 changes.Double layer capacity sensor 111
The pressure of the different location of human body overlay area can be detected, pressure is bigger, then it is compressed to flexibly support layer 1112
Degree is bigger, and the distance of second electrode 1111 and third electrode 1113 between vertical direction is smaller, i.e. pressure large area pair
The capacitance variations for the double layer capacity sensor 111 answered are larger, the capacitor of the corresponding double layer capacity sensor 111 of pressure smaller area
Change smaller.Second electrode 1111 is made of flexible extending insulating materials, and in human body covering, second electrode 1111 is followed
It flexibly supporting layer 1112 and carries out ductile deformation, the center of second electrode 1111 will not occur substantially to be displaced in the horizontal direction,
That is position of the second electrode 1111 in the horizontal direction relative to third electrode 1113 will not change, double layer capacity sensor 111
Capacitance variations can accurately reflect the human pressure's situation of covering thereon.
When human body is covered on bed necessaries ontology 1, each position of human body is different to the pressure of bed necessaries ontology 1, for example, working as people
Body is faced upward when lying on bed necessaries ontology 1, and the back side of head, shoulder, buttocks, heel are larger to the pressure of bed necessaries ontology 1, other human bodies
Position is placed in the middle to the pressure of bed necessaries ontology 1, and the textile fabric of no human body overlay area is smaller to the pressure of bed necessaries ontology 1.To each
The capacitance variations value of a double layer capacity sensor 111 is also different, and signal acquisition module 2 is by acquiring each double layer capacity sensing
The capacitance variations value of device 111, the distribution of force information on available bed necessaries ontology 1, parses distribution of force information, can
To obtain the stress condition in human body overlay area and human body overlay area on bed necessaries ontology 1, further parses human body and cover
Stress condition in cover area obtains each stress peak point in human body overlay area, according to the phase of each stress peak point
Posture type of the human body on bed necessaries ontology 1 is judged position distribution situation.
In specific production, second electrode 1111 and third electrode 1113 can be shape and the identical figure of area
(such as rectangular, circle etc.) is arranged in a one-to-one correspondence respectively in resilient support layer 1112.It can also be as shown in figure 5, second electrode 1111
It is strip with third electrode 1113, the deployment direction of second electrode 1111 and third electrode 1113 is perpendicular, in this way, second
The region opposite with third electrode 1113 of electrode 1111 then forms double layer capacity sensor 111.Above-mentioned resilient support layer 1112 can
To be a part (such as common insulating sponge) of bed necessaries ontology；It is also possible to independently of bed necessaries ontology, in addition in production
The elastomeric element (such as common insulating sponge) being put into.
In one embodiment, above-mentioned third electrode 1113 is made of flexible extending conductive material.
In the present embodiment, above-mentioned third electrode 1113 preferably uses the extending conduction of flexibility identical with second electrode 1111
Material, such as conductive sponge.It should be noted that when the thickness for flexibly supporting layer 1112 is greater than preset thickness threshold value, human body
When the pressure being covered on bed necessaries ontology 1 not will lead to third electrode 1113 obvious deformation occurs, third electrode 1113 can also be adopted
With other common conductive materials, such as metal etc..Above-mentioned resilient support layer 1112 can use common insulating sponge.
Referring to Fig. 6, in one embodiment, above-mentioned capacitance sensor 10 further includes single-layer capacitance sensor 101, the list
The electrode of layer capacitance sensor 101 is one layer, is denoted as first electrode 1011；The first electrode of the single-layer capacitance sensor 101
1011 electrical connection AC power sources 102；The single-layer capacitance sensor 101 and the double layer capacity sensor 111 lie down along human body
Direction, it is staggered according to the second default arrangement mode in the bed necessaries ontology 1.
In the present embodiment, above-mentioned single-layer capacitance sensor 101 is disposed simultaneously on bed necessaries ontology 1 and above-mentioned double layer capacity passes
Single-layer capacitance sensor 101 and double layer capacity sensor 111 are interspersed, pass through single-layer capacitance sensor by sensor 111
101 come identify covering thereon whether be human body, covering human body thereon is detected by double layer capacity sensor 111
Distribution of force judges the posture type of human body according to the distribution of force of human body.Single-layer capacitance sensor 101 in the present embodiment
Identical as previous embodiment with the specific structure of double layer capacity sensor 111, details are not described herein again.Above-mentioned second default arrangement side
Formula can be arranged according to specifically used demand.It can uniformly be staggered in bed necessaries ontology 1；It can also be according to different points
Cloth density is configured, such as the double layer capacity sensor 111 of each preset quantity (preset quantity is greater than 2), is inserted into setting one
A single-layer capacitance sensor 101；Single-layer capacitance sensor 101 and double layer capacity sensor 111 in vertical direction, can be located at
The different location of bed necessaries ontology 1, such as upper surface of the first electrode 1011 apart from bed necessaries ontology 1 of single-layer capacitance sensor 101
Distance be first distance, the distance of upper surface of the second electrode 1111 of double layer capacity sensor 111 apart from bed necessaries ontology 1 is
Second distance, first distance are less than second distance.
Referring to Fig. 7, in one embodiment, above-mentioned gesture recognition bed necessaries further include controller, the controller with it is described
Bed necessaries ontology 1 is electrically connected；Signal processing module, display module and wireless communication module are also connected on the controller.
In the present embodiment, above controller is used to receive the signal processing results of signal processing module, according to signal processing
As a result control gesture recognition bed necessaries make respective action, for example, when signal processing module judges human body apart from gesture recognition bed necessaries
Edge distance be less than preset threshold when, controller control gesture recognition bed necessaries vibration, or issue the tinkle of bells remind, Huo Zhetong
It crosses wireless communication module and sends information warning to related guardian etc., signal processing results can also be shown and shown by controller
In module, user is facilitated to consult.
Referring to Fig. 8, the application also proposed a kind of gesture recognition method, use above-mentioned gesture recognition bed necessaries, comprising:
The capacitance of each capacitance sensor 10 of S1, real-time monitoring；
S2, judge whether that the capacitance of at least one capacitance sensor 10 changes；
S3, if so, being denoted as the changed capacitance sensor 10 of capacitance by pressure sensor, obtain respectively each described
By the capacitance variation information of pressure sensor；
S4, according to each capacitance variation information by pressure sensor, determine human body on the gesture recognition bed necessaries
Posture type.
In the present embodiment, in above-mentioned steps S1~S2, the capacitance of each capacitance sensor 10 is detected respectively.Make daily
The capacitance of used time, each capacitance sensor 10 when no human body can be covered are set as a reference value.When capacitance sensor 10
When capacitance deviates a reference value more than predetermined capacitive threshold value, then determine that capacitance changes.
In above-mentioned steps S3~S4, multiple capacitance sensors 10 are in array distribution, when there is human body to be covered on bed necessaries ontology 1
When, the capacitor of the corresponding capacitance sensor 10 in overlay area changes, the electricity of the corresponding capacitance sensor 10 of uncovered area
Appearance will not change.The changed capacitance sensor 10 of above-mentioned capacitance is denoted as by pressure sensor, records each compression respectively
The voltage change information of sensor.According to each voltage change information by pressure sensor, available human body is in gesture recognition
Overlay area on bed necessaries, parses overlay area, then may determine that human body in gesture recognition bed necessaries according to parsing result
On posture type.
Multiple capacitance sensors are arranged in the bed necessaries ontology 1 of gesture recognition bed necessaries in the gesture recognition method of the present embodiment
10, multiple capacitance sensors 10 are distributed along the direction that human body lies down in array, are respectively induced pair by each capacitance sensor 10
The human body coverage information in region is answered, so as to obtain overlay area of the human body on gesture recognition bed necessaries, according to overlay area
Image can identify the posture type of human body.Comprising using flexible extending conductive material in each capacitance sensor 10
Manufactured electrode, so that the center of capacitance sensor 10 will not occur substantially to be displaced in the horizontal direction, so as to accurate
Ground detects the human body coverage information of corresponding region, greatly improves the accuracy rate of gesture recognition.
In one embodiment, the type of above-mentioned capacitance sensor 10 includes single-layer capacitance sensor 101 and double layer capacity
Sensor 111, it is above-mentioned that the changed capacitance sensor of capacitance is denoted as by pressure sensor, each compression is obtained respectively to be passed
The step S3 of the capacitance variation information of sensor, comprising:
S301, the type for judging the changed each capacitance sensor 10 of capacitance respectively；
S302, if the single-layer capacitance sensor 101, then the changed each single layer capacitor of capacitance is passed
Sensor 101 is denoted as first by pressure sensor, obtains each described first first capacitor change information by pressure sensor；If described
The changed each double layer capacity sensor 111 of capacitance is then denoted as the second compression and passed by double layer capacity sensor 111
Sensor obtains each described second the second capacitance variation information by pressure sensor.
In the present embodiment, in above-mentioned steps S301~S302, when deploying single layer capacitor simultaneously on gesture recognition bed necessaries
When sensor 101 and double layer capacity sensor 111, the capacitor of single-layer capacitance sensor 101 and double layer capacity sensor 111 is become
Change information to be recorded and analyzed respectively.The capacitance variation information of single-layer capacitance sensor 101 is for judging gesture recognition bed necessaries
Whether upper covering is human body, and the capacitance variation information of double layer capacity sensor 111 is used to judge the posture type of human body.
In one embodiment, described according to each capacitance variation information by pressure sensor, determine human body described
The step S4 of posture type on gesture recognition bed necessaries, comprising:
S401, according to each described first by pressure sensor first capacitor change information, judge be on gesture recognition bed necessaries
It is no to have human body；
S402, if so, according to each described second position by pressure sensor on the gesture recognition bed necessaries, obtain institute
Overlay area of the human body on the gesture recognition bed necessaries is stated, and is become according to each described second by the second capacitor of pressure sensor
Change information, obtains the distribution of force information in the overlay area；
Distribution of force information in S403, the parsing overlay area, obtains each stress peak in the overlay area
Value information；
S404, by the overlay area and each stress peak information, carried out in preset posture types of database
Matching, determines the corresponding posture type of the stress coverage diagram according to matching result, wherein deposit in the posture types of database
Each reference attitude type and the corresponding benchmark overlay area of each reference attitude type, benchmark stress peak position are stored up
Between mapping relations.
In the present embodiment, in above-mentioned steps S401, since human body is conductor, human body can be siphoned away from 1011 surface of first electrode
The electric current of one very little then first is changed by the capacitor of pressure sensor, and signal acquisition module 2 then collects capacitance variations letter
Breath.For textile fabrics such as quilts, since quilt is not conductor, quilt etc. will not then be produced to first by the capacitance information of pressure sensor
It is raw to influence.It can be distinguished by pressure sensor that be covered on bed necessaries ontology 1 be human body or textile fabric by first.
In above-mentioned steps S402, if it is decided that have human body on gesture recognition bed necessaries, be then further pressurized according to each second
Second capacitance variation information of sensor, to obtain the distribution of force information in overlay area.If first by pressure sensor 101
Determine bed necessaries ontology 1 on be not human body, then it could also be possible that the accumulations such as textile formed pressure so that second be pressurized sensing
The capacitor of device generates variation, at this time necessity then without parsing distribution of force information.
In above-mentioned steps S403, the distribution of force information in overlay area is parsed, since human body is covered in bed necessaries
When on ontology 1, each position of human body is different to the pressure of bed necessaries ontology 1, for example, when human body is faced upward and lain on bed necessaries ontology 1, after
Brain spoon, shoulder, buttocks, heel are larger to the pressure of bed necessaries ontology 1, other human bodies to the pressure of bed necessaries ontology 1 compared with
It is small.To each second by pressure sensor the second capacitance variation information it is also different.The larger position of pressure corresponding second by
The capacitance variations of pressure sensor are larger, parse to distribution of force information, can obtain the human body area of coverage on bed necessaries ontology 1
Each stress peak point in domain, such as when human body is faced upward and lain, the of the corresponding position of the back side of head, shoulder, buttocks, heel
Two by pressure sensor capacitance variations it is larger, the corresponding position in above-mentioned position is respectively formed corresponding stress peak point.
In above-mentioned steps S404, the corresponding base of each reference attitude type is stored in preset posture types of database
Quasi- overlay area, benchmark stress peak position related information.Existed by each stress peak information for obtaining step S403
It is matched in preset posture types of database, the posture that matching degree is more than preset matching degree threshold value is covered as above-mentioned stress
Lid schemes corresponding posture type.
In one embodiment, described according to each capacitance variation information by pressure sensor, determine human body described
After the step S4 of posture type on gesture recognition bed necessaries, comprising:
S5, judge whether the posture type of the human body changes；
S6, if so, obtaining the consecutive variations information of the posture type of the human body；
S7, the consecutive variations information is attempted to match in database in preset activity, it is true according to matching result
The activity of the fixed human body is attempted, wherein stores each activity in the activity attempt database and attempts corresponding posture type
The continuous change information of benchmark.
In the present embodiment, S5~S7, continues to monitor the variation of the posture type of human body, according to posture class through the above steps
The consecutive variations information of type can identify that the activity of human body is attempted, including such as go to bed, gets up, turning over, twitching, from bed, example
Such as by detecting a series of actions of neck from bed, back from bed, waist from bed, then getting up for human body can be identified
Attempt.
In another specific embodiment of the application, when only disposing single-layer capacitance sensor 1001 on bed necessaries ontology 1,
The changed each single-layer capacitance sensor 101 of capacitance is denoted as third by pressure sensor；According to each third
By the third capacitance variation information of pressure sensor, judge whether there is human body on the gesture recognition bed necessaries；If so, according to each institute
Position of the third by pressure sensor on the gesture recognition bed necessaries is stated, obtains the human body on the gesture recognition bed necessaries
Overlay area；The corresponding graphical information in the overlay area is parsed, is covered according to the judgement of the parsing result of the graphical information
The corresponding posture type of cover area.
In another specific embodiment of the application, when only disposing double layer capacity sensor 111 on bed necessaries ontology 1,
The changed each double layer capacity sensor 111 of capacitance is denoted as the 4th by pressure sensor；According to each described 4th
By position of the pressure sensor on the gesture recognition bed necessaries, the area of coverage of the human body on the gesture recognition bed necessaries is obtained
Domain, and according to each described 4th by pressure sensor the 4th capacitance variation information, obtain stress in the overlay area point
Cloth information；The distribution of force information in the overlay area is parsed, each stress peak information in the overlay area is obtained；
It is matched, the overlay area and each stress peak information according to matching in preset posture types of database
As a result the corresponding posture type of the stress coverage diagram is determined, wherein each benchmark appearance is stored in the posture types of database
Mapping between state type and the corresponding benchmark overlay area of each reference attitude type, benchmark stress peak position is closed
System.
The foregoing is merely preferred embodiment of the present application, are not intended to limit the scope of the patents of the application, all utilizations
Equivalent structure or equivalent flow shift made by present specification and accompanying drawing content is applied directly or indirectly in other correlations
Technical field, similarly include in the scope of patent protection of the application.
Claims (11)
1. a kind of gesture recognition bed necessaries, which is characterized in that including bed necessaries ontology and signal acquisition module, packet in the bed necessaries ontology
Multiple capacitance sensors are included, multiple capacitance sensors are electrically connected with the signal acquisition module respectively；Multiple capacitors
Sensor is arranged in the bed necessaries ontology according to the first default arrangement mode along the direction that human body lies down；Each capacitor passes
It is each described to be made of flexible extending conductive material comprising using electrode made of flexible extending conductive material in sensor
Electrode it is parallel with the direction that the human body lies down, each capacitance sensor is not in contact with each other.
2. gesture recognition bed necessaries as described in claim 1, which is characterized in that the capacitance sensor includes single layer capacitance sensing
Device, the electrode of the single-layer capacitance sensor are one layer, are denoted as first electrode；The first electrode electricity of the single-layer capacitance sensor
Connect AC power source.
3. gesture recognition bed necessaries as claimed in claim 2, which is characterized in that the bed necessaries ontology further includes upper layer of fabric, institute
Upper layer of fabric is stated along the direction to lie down perpendicular to human body, is set to above the first electrode, the thickness of the upper layer of fabric is small
In preset thickness threshold value.
4. gesture recognition bed necessaries as described in claim 1, which is characterized in that the capacitance sensor includes double layer capacity sensing
Device, the electrode of the double layer capacity sensor are two layers, are denoted as second electrode and third electrode, the second electrode and described the
Three electrodes are oppositely arranged；The second electrode and third electrode of the double layer capacity sensor are separately connected DC power supply；It is described double
Layer capacitance sensor along the direction to lie down perpendicular to human body, is successively including the second electrode, resilient support layer from top to bottom
With the third electrode, the second electrode is made of flexible extending conductive material, and the resilient support layer is using flexible
Extending insulating materials is made, and the third electrode is made of conductive material.
5. gesture recognition bed necessaries as claimed in claim 4, which is characterized in that the third electrode is using flexible extending conduction
Material is made.
6. gesture recognition bed necessaries as claimed in claim 4, which is characterized in that the capacitance sensor further includes that single layer capacitor passes
Sensor, the electrode of the single-layer capacitance sensor are one layer, are denoted as first electrode；The first electrode of the single-layer capacitance sensor
It is electrically connected AC power source；The single-layer capacitance sensor and the double layer capacity sensor are along the direction that human body lies down, described
It is staggered according to the second default arrangement mode in bed necessaries ontology.
7. gesture recognition bed necessaries as described in any one of claims 1 to 6, which is characterized in that the gesture recognition bed necessaries also wrap
Controller is included, the controller is electrically connected with the bed necessaries ontology；Signal processing module, display are also connected on the controller
Module and wireless communication module.
8. a kind of gesture recognition method uses the described in any item gesture recognition bed necessaries of claim 1~7, which is characterized in that packet
It includes:
The capacitance of each capacitance sensor of real-time monitoring；
Judge whether that the capacitance of at least one capacitance sensor changes；
If so, being denoted as the changed capacitance sensor of capacitance by pressure sensor, each compression sensing is obtained respectively
The capacitance variation information of device；
According to each capacitance variation information by pressure sensor, posture class of the human body on the gesture recognition bed necessaries is determined
Type.
9. gesture recognition method as claimed in claim 8, which is characterized in that the type of the capacitance sensor includes single layer electricity
Hold sensor and double layer capacity sensor, it is described to be denoted as the changed capacitance sensor of capacitance by pressure sensor, respectively
The step of obtaining each capacitance variation information by pressure sensor, comprising:
The type of the changed each capacitance sensor of capacitance is judged respectively；
If the single-layer capacitance sensor, then the changed each single-layer capacitance sensor of capacitance is denoted as first
By pressure sensor, each described first first capacitor change information by pressure sensor is obtained；If the double layer capacity sensor,
The changed each double layer capacity sensor of capacitance is then denoted as second by pressure sensor, obtain each described second by
Second capacitance variation information of pressure sensor.
10. gesture recognition method as claimed in claim 9, which is characterized in that described according to each electricity by pressure sensor
Hold change information, determine human body the posture type on the gesture recognition bed necessaries the step of, comprising:
According to each described first by pressure sensor first capacitor change information, judge on the gesture recognition bed necessaries whether someone
Body；
If so, obtaining the human body according to each described second position by pressure sensor on the gesture recognition bed necessaries and existing
Overlay area on the gesture recognition bed necessaries, and according to each described second by pressure sensor the second capacitance variation information,
Obtain the distribution of force information in the overlay area；
The distribution of force information in the overlay area is parsed, each stress peak information in the overlay area is obtained；
By the overlay area and each stress peak information, matched in preset posture types of database, according to
Matching result determines the corresponding posture type of the stress coverage diagram, wherein stores each base in the posture types of database
Reflecting between quasi- posture type and the corresponding benchmark overlay area of each reference attitude type, benchmark stress peak position
Penetrate relationship.
11. gesture recognition method as claimed in claim 8, which is characterized in that described according to each electricity by pressure sensor
Hold change information, after determining human body the posture type on the gesture recognition bed necessaries the step of, comprising:
Judge whether the posture type of the human body changes；
If so, obtaining the consecutive variations information of the posture type of the human body；
The consecutive variations information is attempted to match in database in preset activity, the people is determined according to matching result
The activity of body is attempted, wherein the activity is attempted to store the base company that corresponding posture type is attempted in each activity in database
Continuous change information.
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| CN110555978A (en) * | 2019-09-06 | 2019-12-10 | 上海长征医院 | prevent falling and weigh down warning mattress of bed |
| CN111413014A (en) * | 2020-03-24 | 2020-07-14 | 北京大学深圳医院 | Optical fiber pressure detection system |
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| CN112741621A (en) * | 2021-01-12 | 2021-05-04 | 深圳大学 | Gesture recognition system and method based on capacitive sensor |
| CN112972233A (en) * | 2021-02-04 | 2021-06-18 | 哈工大机器人(中山)无人装备与人工智能研究院 | Massage bed and human body position identification method |
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