CN210783050U

CN210783050U - Intelligent glove

Info

Publication number: CN210783050U
Application number: CN201921226713.4U
Authority: CN
Inventors: 曹慧; 周酉林; 周鑫
Original assignee: Ningbo Renhe Technology Co ltd
Current assignee: Ningbo Renhe Technology Co ltd
Priority date: 2019-07-31
Filing date: 2019-07-31
Publication date: 2020-06-19
Anticipated expiration: 2029-07-31

Abstract

The utility model provides an intelligent glove, which comprises a glove body, wherein the glove body is provided with a capacitive elastic strain sensor, a data processing module, a data sending module and a power supply; the capacitance of the capacitive elastic strain sensor changes under the action of stress. This gloves body and sensor integration in intelligent gloves are dressed comfortablely, and the xenogenesis does not have, can be used to survey stress strain such as tensile, crooked, pressure.

Description

Intelligent glove

Technical Field

The utility model relates to an intelligent glove.

Background

Wearable electronics is currently a rapidly growing technology. Currently, wearable electronic products under development and research include smart watches, continuous medical monitors, activity and fitness monitors, and clothing with environmental sensors, among others.

As one of the smart wearable devices, smart gloves can provide a variety of functions, such as hand gesture monitoring, hand protection, and assisting hand rehabilitation. In order to realize the functions, devices such as an optical fiber bending sensor, a Micro Electro Mechanical System (MEMS) sensor or a micro gyroscope and the like are integrated in some commercial intelligent gloves, and the integrated devices are thick, heavy and bulky, so that the gloves are difficult to wear and inconvenient to use and the like.

SUMMERY OF THE UTILITY MODEL

To the technical current situation of above-mentioned intelligent gloves, the utility model aims at providing an intelligent gloves, it is convenient to wear, and is good with the hand laminating degree, can follow the free motion of hand to can monitor the hand gesture.

In order to realize the technical purpose, the utility model provides a technical scheme does: the utility model provides an intelligent glove, includes the gloves body, characterized by: the glove body is provided with a capacitive elastic strain sensor, a data processing module, a data sending module and a power supply;

the data processing module is electrically connected with the capacitive elastic strain sensor and is used for receiving and processing the capacitance of the capacitive elastic strain sensor;

the data sending module is electrically connected with the data processing module and is used for sending the data processed by the data processing module to a receiving terminal;

the power supply supplies power to the capacitive elastic strain sensor, the data processing module and the data sending module.

Under the action of stress, the capacitance of the capacitive elastic strain sensor changes;

the capacitive elastic strain sensor comprises an elastic insulating substrate, a first elastic conducting layer, a second elastic conducting layer, an elastic insulating dielectric layer and an elastic insulating packaging layer; the first elastic conducting layer is positioned on the surface of the substrate and is connected with an external first electrode; the elastic insulating dielectric layer is positioned on the surface of the first elastic conductive layer; the second elastic conducting layer is positioned on the surface of the elastic insulating dielectric layer and is connected with an external second electrode; the elastic insulating packaging layer is used for packaging the second elastic conducting layer.

As one implementation, the first elastic conductive layer is composed of a conductive liquid, a conductive paste, or a conductive gel.

As one implementation, the second elastic conductive layer is composed of a conductive liquid, a conductive paste, or a conductive gel.

The utility model discloses in, elasticity means can take place deformation such as bending, tensile under the exogenic action to have the performance of certain shape resilience when external force removes.

The glove body is made of any material, including fabric textile material formed by one or more of cotton, hemp, wool, silk, woolen cloth, fiber and the like, and polymer material and the like. Preferably, the glove body material is an elastic material. Such as an elastic textile material or an elastic polymer material. The elastic textile material is a textile material with elasticity, which can be made elastic by structural design, for example, by a rib weave, or by itself.

Preferably, the glove body material is of a smaller thickness to improve flexibility.

The glove body is not limited in structure, and preferably, the glove body is provided with a finger-shaped structure adapted to the shape of the fingers and used for accommodating the fingers.

The arrangement position of the capacitive elastic strain sensor is not limited. The capacitance type elastic strain sensor can be arranged near a position corresponding to a finger joint and can be used for detecting the bending condition of the finger, and at the moment, the finger bends, and the sensor is subjected to tensile stress. The capacitive elastic strain sensor may also be placed in locations between the palm, knuckles, etc., where it is not subject to tensile stress, but may be subject to pressure, such as when a finger touches an object, the palm is subject to pressure, etc.

The capacitive elastic strain sensor can be connected to the glove body by bonding, hot pressing, sewing and the like.

Preferably, the smart glove further comprises other types of sensors, so as to obtain a multi-physical field detection smart glove, for example, further comprises a magnetic sensor, which can be used for detecting the direction of the geomagnetic field.

Preferably, the data processing module is connected with the capacitive elastic strain sensor through an elastic lead,

the sending mode of the data sending module is not limited, and the data sending module comprises one or more of Zigbee, Bluetooth, WIFI, GPRS and the like.

Preferably, the data processing module and the data sending module have flexibility.

Preferably, the power supply is a flexible power supply.

The terminal equipment is not limited and comprises a mobile phone, a computer or other intelligent equipment.

Preferably, the data transmission module may be integrated in the data processing module.

The elastic insulating base material is not limited, and includes elastic insulating polymer materials, such as one or more of thermoplastic elastomer (TPE), thermoplastic polyurethane elastomer rubber poly (TPU), dimethyl siloxane (PDMS), aliphatic aromatic random copolyester (Ecoflex), high polymer resin, silicone rubber, hydrogel, polyurethane, and polyethylene octene co-elastomer (POE).

The material of the elastic insulating dielectric layer is not limited and includes elastic polymer materials and the like. Preferably, the elastic insulating dielectric layer is made of an elastic material having a good adhesive ability with a textile material, such as one or more of thermoplastic elastomer (TPE), thermoplastic polyurethane elastomer rubber poly (TPU), dimethyl siloxane (PDMS), aliphatic aromatic random copolyester (Ecoflex), high molecular polymer resin, silicone rubber, hydrogel, polyurethane, and polyethylene octene co-elastomer (POE).

The material of the elastic insulating packaging layer is not limited and includes elastic polymer materials and the like. Preferably, the elastic insulating encapsulation layer is made of an elastic material having a good adhesive ability with a textile material, such as one or more of thermoplastic elastomer (TPE), thermoplastic polyurethane elastomer rubber poly (TPU), dimethyl siloxane (PDMS), aliphatic aromatic random copolyester (Ecoflex), high molecular polymer resin, silicone rubber, hydrogel, polyurethane, and polyethylene octene co-elastomer (POE).

The conductive liquid is not limited, such as liquid metal, conductive ink, and the like.

The conductive gel is not limited, such as graphite conductive gel, silver gel, and the like.

The conductive paste is not limited and includes graphene paste, mixed paste of a conductive material and an elastomer, and the like. The mixed slurry of the conductive material and the elastomer includes, but is not limited to, a mixed slurry of a liquid metal and an elastomer, a mixed slurry of carbon powder and an elastomer, a mixed slurry of carbon fiber and an elastomer, a mixed slurry of graphene and an elastomer, a mixed slurry of a metal powder and an elastomer, and the like. Preferably, the liquid metal and the elastomer are mixed in a mass ratio of 100: (1-100) mixing to obtain slurry; the carbon powder and the elastomer are mixed according to the mass ratio of (1-100): 100 mixing into slurry; the carbon fiber and the elastomer are mixed according to the mass ratio of (1-100): 100 mixing into slurry; the graphene and the elastomer are mixed according to the mass ratio of (1-100): 100 mixing into slurry; the metal powder and the elastomer are mixed according to the mass ratio of (1-100): 100 are mixed into a slurry.

The liquid metal refers to a metal conductive material which is liquid at room temperature, and includes but is not limited to mercury, gallium-indium alloy, gallium-indium-tin alloy, and one or more doped gallium-indium alloy, gallium-indium-tin alloy and the like of transition metal and solid nonmetal elements.

The first electrode is used for conducting and connecting with an external device, and the materials of the first electrode are not limited and include metal materials, conductive cloth, graphene, graphite conductive adhesive, silver adhesive, liquid metal, a circuit board and the like.

The second electrode is used for conducting and connecting with an external device, and the materials of the second electrode are not limited and include metal materials, conductive cloth, graphene, graphite conductive adhesive, silver adhesive, liquid metal, a circuit board and the like.

Preferably, the first conductive layer has a thickness of less than 500um, preferably less than 100um, and may even be less than 10 um.

Preferably, the thickness of the second conductive layer is less than 500um, preferably less than 100um, and may even be less than 10 um.

Preferably, the first conductive layer has a pattern structure on the surface of the elastic insulating layer. The pattern is not limited, and includes one or more patterns of straight lines, sine lines, wavy lines, sawtooth waves, triangular waves, ellipses, rings, coil shapes, heart shapes and the like, which are parallel, crossed, stacked and the like.

Preferably, the second conductive layer has a pattern structure on the surface of the elastic dielectric layer. The pattern is not limited, and includes one or more patterns of straight lines, sine lines, wavy lines, sawtooth waves, triangular waves, ellipses, rings, coil shapes, heart shapes and the like, which are parallel, crossed, stacked and the like.

The preparation method of the capacitive elastic strain sensor comprises the following steps:

(1) preparing a first elastic conductive layer on the surface of the elastic insulating layer;

(2) preparing an elastic insulating dielectric layer on the surface of the first elastic conducting layer;

(3) preparing a second elastic conductive layer on the surface of the elastic insulating dielectric layer;

(4) and preparing an elastic insulating packaging layer on the surface of the second elastic conductive layer.

In the step (1), the method for preparing the first elastic conductive layer on the surface of the elastic insulating dielectric layer is not limited. The utility model discloses preferably adopt the fretwork template, place the template on elastic insulation dielectric layer surface, then with conducting liquid, conductive paste or electrically conductive gel pouring, coating, printing or hot pressing in the fretwork of template, obtain first elasticity conducting layer, get rid of the template at last. The template is used for forming the first elastic conducting layer, plays a role in conducting material boundary positioning in the first elastic conducting layer preparation process, and can be directly and conveniently removed after the first elastic conducting layer is formed. When the first elastic conducting layer is in a certain pattern, the template is used for forming the patterned first elastic conducting layer, the function of conducting material pattern boundary positioning is achieved in the first elastic conducting layer preparation process, and the mold can be directly removed after the patterned first elastic conducting layer is formed. Therefore the utility model provides a different and prior art's mask plate of mould effect, can obtain the less first conducting layer mould of three-dimensional size on the one hand, on the other hand can conveniently simply get rid of the mould material after filling conductive paste in the mould to can conveniently obtain the less first conducting layer of three-dimensional size, especially can conveniently obtain the less first conducting layer of thickness and width, its thickness is ultra-thin, can reach hundred microns of magnitude, preferred being less than 500um, more preferred being less than 100um, be less than 10um even.

In the step (2), the method for preparing the elastic insulating dielectric layer on the surface of the first elastic conductive layer is not limited, and includes printing, baking, hot pressing and other methods.

In the step (3), the method for preparing the second elastic conductive layer on the surface of the elastic insulating dielectric layer is not limited. The utility model discloses preferably adopt the fretwork template, place the template on the elastic bonding layer surface, then with conducting liquid, conductive paste or electrically conductive gel pouring, coating, printing or hot pressing in the fretwork of template, obtain second elasticity conducting layer, get rid of the template at last. The template is used for forming a second elastic conducting layer, plays a role in conducting material boundary positioning in the preparation process of the second elastic conducting layer, and can be directly and conveniently removed after the second elastic conducting layer is formed. When the second elastic conductive layer is in a certain pattern, the template is used for forming the patterned second elastic conductive layer, the boundary positioning effect of the conductive material pattern is achieved in the preparation process of the second elastic conductive layer, and the mold can be directly removed after the patterned second elastic conductive layer is formed. Therefore the utility model provides a different and prior art's mask plate of mould effect, can obtain the less second conducting layer mould of three-dimensional size on the one hand, on the other hand can conveniently simply get rid of the mould material after filling conductive paste in the mould, thereby can conveniently obtain the less second elasticity conducting layer of three-dimensional size, especially can conveniently obtain the less second elasticity conducting layer of thickness and width, its thickness is ultra-thin, can reach hundred microns of magnitude, it is preferred to be less than 500um, more preferred less than 100um, be less than 10um even.

In the step (4), the method for preparing the elastic packaging layer on the surface of the second elastic conductive layer is not limited, and includes printing, baking, hot pressing and other methods.

Compared with the prior art, the utility model discloses following beneficial effect has:

(1) the utility model discloses combine capacitanc elastic strain sensor on the gloves body, this capacitanc elastic strain sensor can be used to survey tensile, crooked, stress strain such as pressure, and because this capacitanc elastic strain sensor uses elastic material as the basement, thickness is lower, elasticity has, can be good with the laminating of gloves body, accomplish gloves and sensor integration, the foreign object sensation does not have, especially its first elasticity conducting layer can reach hundred microns of magnitude with the thickness of second elasticity conducting layer, can be less than tens microns even, the wearable and the travelling comfort of this sensor have been improved greatly, and receive folding when gloves in practical application, rub, because the influence that the conducting layer is ultra-thin and greatly reduced suffered when exogenic action such as extrusion, thereby be favorable to improving the performance stability of sensor.

(2) The utility model discloses can set up capacitanc elastic strain sensor in the different positions of gloves body according to actual need, can be used to survey user's hand condition, for example finger joint bending condition, muscle tensile or bending condition, touching object or not, receive the condition such as pressure size. Because the user is different, its hand condition is different, as an optimized application method, the utility model discloses will capacitanc elastic strain sensor sets up in a certain position that the user pointed, at first initializes the calibration when carrying out stress such as tensile, crooked, pressure.

For example, the capacitive elastic strain sensor is disposed near a position corresponding to a finger joint of a user, and initial calibration is performed first when bending strain is performed, specifically, the method is as follows:

when a user wears the intelligent glove, fingers are opened as much as possible, and capacitance values of the capacitive elastic strain sensors at the joints of the fingers are recorded and defined as initial values; then, the hand is clenched, and the capacitance values of the capacitance type elastic strain sensors at the finger joints are recorded and defined as full-scale values; obtaining a corresponding relation between the capacitance value and the finger bending angle according to the initial value and the full scale value;

in actual use, the actual finger bending angle of the user is obtained according to the measured capacitance value and the corresponding relation.

For another example, the capacitive elastic strain sensor is disposed at a position where it is not easily subjected to stress such as stretching or bending, such as between a palm and a finger joint, and initial calibration is first performed when performing compressive strain, and a specific method is as follows:

when a user wears the intelligent glove and the glove does not contact other objects or is not stressed by the outside, recording the capacitance value of the capacitive elastic strain sensor, and defining the capacitance value as an initial value; then, when the palm is subjected to a certain reference stress, or when the fingers touch an object, and the like, recording the capacitance value of each capacitive elastic strain sensor, and defining the capacitance value as a reference value; obtaining a corresponding relation between the capacitance value and the finger bending angle according to the initial value and the reference value;

in actual use, the measured capacitance value is compared with the initial value and the reference value to obtain the relation between whether the hand of the user actually touches an object or not, or the stress on the hand and the reference stress.

(4) The utility model discloses the adaptable different users of intelligence gloves, and allow the user to make various gesture actions in a flexible way, but high efficiency, the change of human hand appearance is monitored for a long time to high travelling comfort ground, can carry out data storage simultaneously, analysis and omnidirectional management, the information that the monitoring obtained, for example, indicate bending angle, whether the hand actually touches the object, information such as the big or small relation of the stress that the hand receives and reference stress can be preferred as control signal and control some circuits, further widen the function of intelligent gloves.

Drawings

Fig. 1 is a schematic structural diagram of an intelligent glove in embodiment 1 of the present invention.

Fig. 2 is a schematic structural diagram of the capacitive elastic strain sensor in fig. 1.

Fig. 3 is a tensile strain test chart of the capacitive elastic strain sensor of fig. 1.

Fig. 4 is a schematic structural diagram of the intelligent glove in embodiment 2 of the present invention.

The reference numerals in fig. 1-3 are: 1-intelligent glove body; 2-capacitive elastic strain sensors; 3-a data processing module; 4-a data transmission module; 5-a power supply; 6-an elastic wire; 7-an elastic insulating layer; 8-a first conductive layer; 9-an elastic dielectric layer; 10-a second conductive layer; 11-an elastic encapsulation layer; 12-a first electrode; 13-second electrode.

Detailed Description

The present invention will be described in further detail with reference to the following drawings and examples, which are not intended to limit the invention, but are intended to facilitate the understanding of the invention.

Example 1:

as shown in fig. 1, the smart glove includes a glove body 1 provided with a finger-like structure adapted to the shape of the finger for receiving the finger. Each finger of the glove body 1 is provided with a capacitance type elastic strain sensor 2, and the capacitance type elastic strain sensor 2 covers the length of each finger and comprises a finger joint.

The glove body 1 is also provided with a data processing module 3, a data sending module 4 and a power supply 5. The data processing module 3 is electrically connected with the elastic capacitance sensor 2 through an elastic lead 6. The power supply 5 supplies power to the data processing module 3, the data sending module 4 and the capacitive elastic strain sensor 2.

In this embodiment, the glove body is made of a thin elastic textile material, and the hand can move freely after being worn.

In this embodiment, the data processing module 3 is electrically connected to the capacitive elastic strain sensor 2 through the elastic wire 6. The elastic lead 6 is formed by compounding an elastomer and liquid metal, the elastomer is a thermoplastic elastomer TPE, the liquid metal is GaInSn or GaIn alloy, the elastomer forms a hollow pipe body, and the liquid metal is positioned in a hollow cavity of the pipe body.

In the present embodiment, as shown in fig. 2, the capacitive elastic strain sensor 2 is composed of an elastic insulating layer 7, a first conductive layer 8, a second conductive layer 10, an elastic dielectric layer 9 and an elastic encapsulation layer 11. The elastic insulating layer 7 has a conductive insulating property; the first conducting layer 8 is positioned on the surface of the elastic insulating layer 7, is made of liquid metal and is connected with the external first electrode 12; the elastic dielectric layer 9 has conductive insulation and is positioned on the surface of the first conductive layer 8; the second conductive layer 10 is located on the surface of the elastic dielectric layer, is made of liquid metal, and is connected with the external second electrode 13; the elastic encapsulating layer 11 is used for encapsulating the second conductive layer.

In this embodiment, the elastic insulating layer, the elastic dielectric layer, and the elastic encapsulation layer are all made of thermoplastic polyurethane elastomer rubber (TPU), the first conductive layer and the second conductive layer are made of liquid metal GaInSn, and the external first electrode 12 and the external second electrode 13 are made of copper sheets.

In this embodiment, the first conductive layer and the second conductive layer are both 100 μm thick.

In this embodiment, the preparation of the capacitive elastic strain sensor includes the following steps:

(1) placing a hollow template on the surface of the elastic insulating layer; then, filling liquid metal GaInSn in the template through printing; then, removing the template material to obtain a first conducting layer;

(2) attaching thin copper sheets to two ends of the first conducting layer prepared in the step (1) to be used as external first electrodes;

(3) forming an elastic dielectric layer on the surface of the first conductive layer by adopting a hot pressing process;

(4) placing a hollow template on the surface of the elastic dielectric layer; then, filling liquid metal GaInSn in the template through printing; then, removing the template material to obtain a second conducting layer;

(5) attaching thin copper sheets to two ends of the second conducting layer to serve as external second electrodes;

(6) and forming the elastic packaging layer on the surface of the second conductive layer by adopting a hot pressing process.

When the capacitive elastic strain sensor is subjected to strain such as stretching, bending and stress, the capacitance of the capacitive elastic strain sensor changes. The capacitance type elastic strain sensor is subjected to tensile strain test, the test result is shown in fig. 3, and it can be seen that the capacitance of the elastic strain sensor is linearly changed along with the tensile strain rate, the stretching is 30%, the capacitance is changed by about 500pF, and the change rate is large. In addition, because the liquid metal layer is ultra-thin, the influence of the liquid metal layer when the liquid metal layer is subjected to external force in practical application is greatly reduced, and the performance of the liquid metal layer has high stability.

In this embodiment, the liquid metal has a conductivity of better than 3.8 × 10⁶s/m。

In this embodiment, the data processing module adopts digital capacitance chip PCAP01, can directly read the capacitance value to adopt STM32F103C8T6 to carry out data processing, thereby realize high accuracy rapid survey.

In this embodiment, the data sending module adopts a bluetooth 4.0 wireless communication mode;

in this embodiment, the power supply is a flexible battery.

In this embodiment, the circuit substrates of the data processing module and the data sending module are polyimide.

In this embodiment, the capacitive elastic strain sensor is connected to the glove body by bonding, hot pressing, or sewing.

The intelligent glove can be used for detecting finger bending strain, initial calibration is firstly carried out during detection, and the specific method is as follows:

when a user wears the intelligent glove, fingers are opened as much as possible, and capacitance values of the capacitive elastic strain sensors at the joints of the fingers are recorded and defined as initial values; then, the hand is clenched, and the capacitance values of the capacitance type elastic strain sensors at the finger joints are recorded and defined as full-scale values; and obtaining the corresponding relation between the capacitance value and the finger bending angle according to the initial value and the full scale value.

In actual use, the posture of each finger of the user changes, the capacitance value of each capacitive elastic strain sensor changes, the data processing module receives the actual capacitance value of the elastic strain sensor and processes the actual capacitance value according to the corresponding relation to obtain the actual bending angle of each finger of the user, and then the actual bending angle is transmitted to terminal equipment, such as a mobile phone, a computer and the like, through the data transmitting module.

In addition, in this embodiment, the actual bending angle of each finger can be used as a control signal to realize circuit control. In this embodiment, the actual bending angle of each finger may be used as a switch for controlling 5 LED lamps, and the specific control method is as follows: 5 fingers respectively control 5 LEDs, a thumb controls the LED1, a forefinger controls the LED2, a middle finger controls the LED3, a ring finger controls the LED4, and a little finger controls the LED 5; after the intelligent gloves are initialized, if the actual bending of the fingers is measured to exceed 30 degrees, the LEDs are on, and otherwise, the LEDs are off.

Example 2:

in this embodiment, the structure of the smart glove is substantially the same as that of embodiment 1, except that, as shown in fig. 4, the capacitive elastic strain sensors are disposed at the finger tip positions and the palm positions of the fingers of the glove body 1, and when the fingers are bent, the capacitive elastic strain sensors are not easily subjected to tensile deformation when located at these positions. As in example 1, these capacitive elastic strain sensors are connected to a data processing module (not shown in fig. 4) by elastic wires.

In this embodiment, the structure and the manufacturing method of the capacitive elastic strain sensor are the same as those in embodiment 1. When the capacitive elastic strain sensor is subjected to strain such as stretching, bending and stress, the capacitance of the capacitive elastic strain sensor changes. And performing pressure strain test on the capacitive elastic strain sensor, wherein the test result shows that the capacitance of the elastic strain sensor linearly changes along with the pressure strain. In addition, because the liquid metal layer is ultra-thin, the influence of the liquid metal layer when the liquid metal layer is subjected to external force in practical application is greatly reduced, and the performance of the liquid metal layer has high stability.

The intelligent glove can be used for detecting hand pressure strain, initial calibration is firstly carried out during detection, and the specific method is as follows:

when a user wears the intelligent glove and the glove does not contact other objects or is not stressed by the outside, recording the capacitance value of the capacitive elastic strain sensor, and defining the capacitance value as an initial value; then, when the fingertips and the palms are subjected to a certain reference stress or the fingertips and the palms touch an object, and the like, recording the capacitance value of each capacitive elastic strain sensor, and defining the capacitance value as a reference value;

in actual use, the posture of each finger and the palm of the user changes, the capacitance value of each capacitive elastic strain sensor changes, the data processing module receives the actual capacitance value of the elastic strain sensor and compares the actual capacitance value with the initial value and the reference value, so that information about whether the finger and/or the palm of the user touches an object or not and the magnitude relation between the pressure applied to the finger and/or the palm of the user and the reference pressure can be obtained, and then the result is transmitted to terminal equipment, such as a mobile phone, a computer and the like, through the data sending module.

In addition, in this embodiment, the circuit control can be realized by using the information of whether the finger and/or the palm touches the object and the magnitude relationship between the pressure and the reference pressure as the control signal. For example, whether a finger and/or a palm touches an object can be used as a switch for controlling 5 LED lamps, and the specific control method is as follows: the fingertips and the palms of 5 fingers are respectively connected with an LED, a thumb control LED1, an index finger control LED2, a middle finger control LED3, a ring finger control LED4, a little finger control LED5, and an LED6 and an LED7 are connected with the palms; after the intelligent gloves are initialized, the LED at the corresponding position is on when the finger tip or the palm touches the object, otherwise, the LED is off.

Example 3:

in this embodiment, the structure of the intelligent glove is basically the same as that of embodiment 1, except that the glove body 1 is further provided with a micro magnetic sensor, and the magnetic micro sensor in this embodiment adopts a micro hall effect magnetic sensor. The magnetic micro sensor is electrically connected with the data processing module 3 through an elastic lead 6. The angle relation between the intelligent glove and the geomagnetic field can be detected through the magnetic micro-sensor.

Example 4:

in this embodiment, the structure of the smart glove is substantially the same as that of embodiment 1, except that the glove body 1 is similar to that of embodiment 1, the capacitive elastic strain sensors 2 are disposed on the outer sides of the fingers, the capacitive elastic strain sensors 2 cover the lengths of the fingers including the joints of the fingers, and the capacitive elastic strain sensors 2 are disposed on the positions of the fingertips and the positions of the palms on the inner sides of the fingers, similar to that of embodiment 2. Therefore, in the present embodiment, not only finger bending strain detection but also hand pressure strain detection can be performed using the smart glove.

The above-mentioned embodiment is right the technical scheme and the beneficial effect of the utility model have been explained in detail, it should be understood that above only be the concrete embodiment of the utility model, and not be used for the restriction the utility model discloses, the fan is in any modification and improvement etc. that the principle within range of the utility model was done all should be contained within the protection scope of the utility model.

Claims

1. The utility model provides an intelligent glove, includes the gloves body, characterized by: the glove body is provided with a capacitive elastic strain sensor, a data processing module, a data sending module and a power supply;

the power supply supplies power to the capacitive elastic strain sensor, the data processing module and the data sending module;

2. The smart glove of claim 1, wherein: the glove body is provided with a finger-shaped structure adapted to the shape of the fingers and used for accommodating the fingers.

3. The smart glove of claim 1, wherein: the capacitive elastic strain sensor is arranged at a position corresponding to finger joints of a user, a position corresponding to a palm of the user, or/and a position corresponding to finger joints.

4. The smart glove of claim 1, wherein: the data processing module is connected with the capacitive elastic strain sensor through an elastic lead.

5. The smart glove of any one of claims 1 to 4, wherein: the thickness of the first elastic conducting layer is less than 500 um.

6. The smart glove of claim 5, wherein: the thickness of the first elastic conducting layer is less than 100 um.

7. The smart glove of claim 6, wherein: the thickness of the first elastic conducting layer is less than 10 um.

8. The smart glove of any one of claims 1 to 4, wherein: the thickness of the second elastic conductive layer is less than 500 um.

9. The smart glove of claim 8, wherein: the thickness of the second elastic conductive layer is less than 100 um.

10. The smart glove of claim 9, wherein: the thickness of the second elastic conductive layer is less than 10 um.