CN216772373U - Wearable intelligent glove, recognition component and grip strength detection component - Google Patents
Wearable intelligent glove, recognition component and grip strength detection component Download PDFInfo
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- CN216772373U CN216772373U CN202123232692.7U CN202123232692U CN216772373U CN 216772373 U CN216772373 U CN 216772373U CN 202123232692 U CN202123232692 U CN 202123232692U CN 216772373 U CN216772373 U CN 216772373U
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Abstract
The embodiment of the utility model relates to a wearable intelligent glove, an identification component and a grip strength detection component, wherein the wearable intelligent glove comprises: the recognition part is arranged on the back of the glove and is used for acquiring a strain signal of a gesture; the grip strength detection part is arranged at the palm of the glove and is used for collecting pressure signals of grip strength; the control unit is used for preprocessing the strain signal and the pressure signal to obtain a first strain signal and a first pressure signal after preprocessing; the data processing and storing unit is used for carrying out data processing on the first strain signal and the first pressure signal to obtain gesture data and grip strength data. The hand gesture recognition and the holding power monitoring are integrated through the recognition component and the holding power detection component, signals collected by the recognition component and the holding power detection component are processed through the control unit and the data processing and storing unit, hand gesture data and holding power data capable of showing hand gesture actions and holding power graphics are obtained, and the use requirements of a user on gloves are met.
Description
Technical Field
The utility model relates to the technical field of identification and monitoring, in particular to a wearable intelligent glove, an identification component and a grip strength detection component.
Background
Wearable technology is developing vigorously, and consumers want wearable devices to be easier to wear, more fashionable, and have more functionality. For example: the existing wearable gloves only have the functions of grip strength detection or gesture recognition, and the grip strength detection and the gesture recognition cannot be achieved at the same time. And wearable intelligent gloves on the market have certain rigidity, intervene the hand action, and sensitivity is poor, can not satisfy user's user demand.
SUMMERY OF THE UTILITY MODEL
The utility model provides a wearable intelligent glove, an identification component and a grip strength detection component, which are used for solving the technical problem that the functions of the existing wearable intelligent glove cannot meet the use requirements of users.
In order to achieve the above purpose, the utility model provides the following technical scheme:
a wearable smart glove comprises an identification component, a grip detection component and a control unit;
the recognition component is arranged on the back of the glove and used for acquiring a strain signal of a gesture and transmitting the acquired strain signal to the control unit;
the grip strength detection part is arranged in the palm of the glove and is used for acquiring a pressure signal of the grip strength and transmitting the pressure signal to the control unit;
the control unit is configured to pre-process the strain signal and the pressure signal to obtain a pre-processed first strain signal and first pressure signal, and optionally transmit the first strain signal and first pressure signal to optionally other internal and/or external components or units of the wearable smart glove.
Preferably, the wearable smart glove comprises a data processing and storing unit, wherein the data processing and storing unit is used for performing data processing on the first strain signal and the first pressure signal to obtain gesture data and grip strength data and storing the gesture data and the grip strength data.
Preferably, the wearable smart glove comprises a display unit connected with the data processing and storing unit, and the display unit is used for displaying gestures through the gesture data and displaying holding force through the holding force data.
Preferably, the wearable smart glove comprises an ADC conversion unit, the ADC conversion unit is configured to convert an analog signal of the strain signal and/or the pressure signal into a data signal, and the ADC conversion unit is connected to the identification component, the grip detection component, and the control unit, respectively.
Preferably, the recognition member has a U-shape, the recognition member has a length of 20mm to 50mm, and the recognition member has a width of 3mm to 10 mm.
Preferably, the identification component comprises a flexible strain sensor. The identification component is a component for identifying gestures, and through the flexible strain sensor, the actions (such as bending, straightening, swinging, rotating and the like) of a single finger, the closing and opening of different fingers, and the actions of mutual matching of two or more fingers, such as the traditional gestures of figures one to nine or the game gestures of stone scissors cloth, are respectively played, and signal acquisition and subsequent processing are carried out.
The application also provides an identification component, be applied to above-mentioned wearable smart glove, identification component includes the base component, sets up conductive element on the base component and cover encapsulation element on the conductive element, conductive element's both ends all are provided with the electrode.
Preferably, the conductive element is a graphene-carbon nanotube hybrid conductive film or a carbon nanotube conductive film with patterning, and the thickness of the conductive element is 20nm to 30 μm.
Preferably, the substrate element and the encapsulation element are both made of PDMS or silicone rubber, and the thickness of the substrate element and the thickness of the encapsulation element are both 300 μm to 800 μm.
The application still provides a grip detection part, is applied to the aforesaid wearable intelligent gloves, the grip detection part includes bottom electrode component and covers bottom electrode component's last electrode component, the length and the width of grip detection part are 5mm ~ 15mm, the thickness of grip detection part is less than 2 mm.
Preferably, the lower electrode element is made of a carbon nanotube film, and the interdigital electrode prepared by a laser ablation method is arranged on the lower electrode element.
Preferably, the upper electrode element is an upper electrode element which takes PDMS as a base material and adopts a template method to manufacture a microstructure.
According to the technical scheme, the utility model has the following advantages: the wearable intelligent glove comprises an identification component, a grip strength detection component, a control unit and a data processing and storing unit, wherein the identification component is arranged on the back of the glove and used for acquiring a strain signal of a gesture and transmitting the acquired strain signal to the control unit; the grip strength detection part is arranged at the palm of the glove and used for collecting pressure signals of grip strength and transmitting pressure information to the control unit; the control unit is used for preprocessing the strain signal and the pressure signal to obtain a preprocessed first strain signal and a preprocessed first pressure signal and transmitting the preprocessed first strain signal and the preprocessed first pressure signal to the data processing and storing unit; the data processing and storing unit is used for carrying out data processing on the first strain signal and the first pressure signal to obtain gesture data and grip strength data and storing the gesture data and the grip strength data. This wearable intelligent glove passes through identification component and grip detection part and realizes collecting gesture recognition and gripping power monitoring in an organic whole, still handles the signal that identification component and grip detection part gathered through the control unit and data processing memory cell, obtains gesture data and the grip data that can demonstrate gesture action and grip imaging, satisfies the user demand of user to gloves, has solved the technical problem that current wearable intelligent glove's function can not satisfy user's user demand.
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, and 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 these drawings without inventive exercise.
FIG. 1 is a frame diagram of a wearable smart glove according to an embodiment of the present application;
FIG. 2 is a frame diagram of a wearable smart glove according to another embodiment of the present application;
FIG. 3 is a frame diagram of a wearable smart glove according to another embodiment of the present application;
FIG. 4 is a flow chart illustrating the fabrication of an identification component according to another embodiment of the present application;
FIG. 5 is a test chart of an identification component according to an embodiment of the present application;
fig. 6 is a test chart of the grip strength detecting member according to the embodiment of the present application.
Detailed Description
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the embodiments of the present application, it is to be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience in describing the embodiments of the present invention and simplifying the description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the embodiments of the present invention, "a plurality" means two or more unless specifically limited otherwise.
In the embodiments of the present application, unless otherwise specifically stated or limited, the terms "mounted," "connected," and "fixed" are to be construed broadly, e.g., as meaning fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; either directly or indirectly through intervening media, either internally or in any other relationship. Specific meanings of the above terms in the embodiments of the present invention can be understood by those of ordinary skill in the art according to specific situations.
The embodiment of the application provides a wearable intelligent glove, an identification component and a grip strength detection component, and is used for solving the technical problem that the function of the existing wearable intelligent glove cannot meet the use requirement of a user.
The first embodiment is as follows:
fig. 1 is a frame diagram of a wearable smart glove according to an embodiment of the present application.
As shown in fig. 1, the embodiment of the present application provides a wearable smart glove, which includes an identification component 10, a grip detection component 20, a control unit 30, and a data processing and storing unit 40.
In the embodiment of the present application, the recognition part 10 is disposed on the back of the glove, and is mainly used for collecting the strain signal of the gesture and transmitting the collected strain signal to the control unit 30.
It should be noted that the recognition component 10 is mainly used for recognizing the gesture of the user wearing the wearable smart glove, the recognition component 10 may be disposed on the back of the glove corresponding to the finger joint, and the strain signal of the hand movement gesture of the user can be accurately acquired through the recognition component 10, so as to provide an accurate acquisition signal for the control unit 30 and the data processing and storing unit 40. In the present embodiment, the identification component 10 may be a flexible strain sensor, and the identification component 10 is disposed at each position corresponding to a finger joint on the back of the wearable smart glove. In other embodiments, the recognition component 10 may also be other sensors having recognition gestures.
In the embodiment of the present application, the grip strength detecting part 20 is disposed at the palm of the glove, and is mainly used for collecting the pressure signal of the grip strength and transmitting the pressure information to the control unit 30.
It should be noted that, the grip detection part 20 is mainly used for detecting the holding force of the hand of the user wearing the wearable smart glove, and the grip detection part 20 may be disposed at the palm of the glove corresponding to the palm, so that the pressure signal of the grip of the hand of the user can be accurately obtained through the grip detection part 20, and the control unit 30 and the data processing and storing unit 40 are conveniently provided with accurate acquisition signals. In this embodiment, the grip strength detecting member 20 may be a flexible pressure sensor, and in other embodiments, may be another sensor having a function of detecting grip strength.
In the present embodiment, the control unit 30 is mainly configured to pre-process the strain signal and the pressure signal, obtain a pre-processed first strain signal and first pressure signal, and optionally transmit the first strain signal and first pressure signal to optionally other internal and/or external components or units of the wearable smart glove. Among these, it can be understood that: the control unit 30 is mainly used for preprocessing the strain signal and the pressure signal to obtain a first preprocessed strain signal and a first preprocessed pressure signal. The control unit 30 may also be used mainly for preprocessing the strain signal and the pressure signal, obtaining a preprocessed first strain signal and first pressure signal, and transmitting the first strain signal and first pressure signal to optionally other internal and/or external components or units of the wearable smart glove.
It should be noted that the control unit 30 mainly amplifies and filters the strain signal and the pressure signal to obtain an amplified and filtered first strain signal and first pressure signal, and transmits the first strain signal and the first pressure signal to other optional internal and/or external components or units of the wearable smart glove. Optionally, other internal and/or external components or units may be the data processing and storing unit 40, and may also be other units or components having a function of processing data.
In the embodiment of the present application, a wireless communication module 50 is disposed between the control unit 30 and the data processing and storing unit 40, and the wireless communication module 50 mainly transmits the signal of the control unit 30 to the data processing and storing unit 40.
It should be noted that the wireless communication module 50 may implement signal transmission through wireless WiFi, and may also implement signal transmission through other wireless communication methods. In this embodiment, the control unit 30 is further configured to perform configuration for initialization, setting of an operation mode, and controlling a flow direction and a flow speed of data for the elements connected to the control unit 30, and package the data to the wireless communication module 50.
In the embodiment of the present application, the data processing and storing unit 40 is mainly configured to perform data processing on the first strain signal and the first pressure signal, obtain gesture data and grip strength data, and store the gesture data and grip strength data.
It should be noted that the data processing and storing unit 40 mainly performs feature extraction and classification training on the first strain signal and the first pressure signal to obtain gesture data and grip strength data which can be used for displaying gesture actions and grip strength graphics, and also stores the processed gesture data and grip strength data. In this embodiment, the feature extraction may employ an existing moving window method, extract feature variables in a specific small window, and then classify the features, and may employ an existing machine learning method (including deep learning) to model the features and the corresponding categories, thereby obtaining gesture data and grip strength data for displaying gesture actions and grip strength graphics.
The wearable intelligent glove comprises an identification part, a grip strength detection part, a control unit and a data processing and storing unit, wherein the identification part is arranged on the back of the glove and used for acquiring a strain signal of a gesture and transmitting the acquired strain signal to the control unit; the grip strength detection part is arranged at the palm of the glove and used for collecting pressure signals of grip strength and transmitting pressure information to the control unit; the control unit is used for preprocessing the strain signal and the pressure signal to obtain a first preprocessed strain signal and a first preprocessed pressure signal and transmitting the first strain signal and the first preprocessed pressure signal to the data processing and storing unit; the data processing and storing unit is used for carrying out data processing on the first strain signal and the first pressure signal to obtain gesture data and grip strength data and storing the gesture data and the grip strength data. This wearable intelligent glove passes through identification component and grip detection part and realizes collecting gesture recognition and gripping power monitoring in an organic whole, still handles the signal that identification component and grip detection part gathered through the control unit and data processing memory cell, obtains gesture data and the grip data that can demonstrate gesture action and grip imaging, satisfies the user demand of user to gloves, has solved the technical problem that current wearable intelligent glove's function can not satisfy user's user demand.
Fig. 2 is a frame diagram of a wearable smart glove according to another embodiment of the present application.
As shown in fig. 2, in one embodiment of the present application, the wearable smart glove includes a display unit 60 connected to the data processing and storing unit 40, the display unit 60 is used for displaying the gesture through the gesture data and displaying the holding power through the holding power data.
The display unit 60 may be a display screen or an LED screen. The display unit 60 can not only display the gesture and grip strength graphics of the wearable smart glove processed by the data processing and storing unit 40, but also display the signal data collected by the recognition component 10 and the grip strength detection component 20. In the present embodiment, the display unit 60 is mainly for facilitating the user to view the monitoring data.
Fig. 3 is a frame diagram of a wearable smart glove according to another embodiment of the present application.
As shown in fig. 3, in one embodiment of the present application, the wearable smart glove includes an ADC conversion unit 70, the ADC conversion unit 70 is configured to convert an analog signal of the strain signal and/or the pressure signal into a data signal, and the ADC conversion unit 70 is connected to the identification component 10, the grip detection component 20, and the control unit 30 respectively.
Note that, the input terminals of the ADC conversion unit 70 are connected to the identification unit 10 and the grip strength detection unit 20, respectively, and the output terminal of the ADC conversion unit 70 is connected to the control unit 30. The ADC conversion unit 70 mainly converts the analog signal into a digital signal and amplifies the digital signal, so as to reduce interference of other signals during the preprocessing of the control unit 30 on the strain signal and the pressure signal, and improve the precision and accuracy of the preprocessed data.
In one embodiment of the present application, the identification member 10 has a U-shape, the length of the identification member 10 is 20mm to 50mm, and the width of the identification member 10 is 3mm to 10 mm.
It should be noted that, the identification component 10 is arranged in a U shape, so that the stress of the identification component 10 corresponding to the stretching of the identification component in the identification process is reduced, and the length-width ratio of the identification component 10 can be improved, so that the identification component 10 has larger resistance variation under the same dependent variable, has better sensitivity, and acquires more accurate signals.
Example two:
fig. 4 is a flowchart illustrating a process of manufacturing an identification component according to another embodiment of the present application.
As shown in fig. 4, the present application further provides an identification component, which is applied to the wearable smart glove, where the identification component includes a base element 11, a conductive element 12 disposed on the base element 11, and an encapsulation element 13 covering the conductive element 12, and both ends of the conductive element 12 are disposed with electrodes 14.
As shown in fig. 4, the process of producing the identification member 10 is: preparing a substrate material to prepare a substrate element 11, transferring a conductive element 12 onto the substrate element 11, patterning the conductive element 12, connecting two ends of the conductive element 12 with electrodes, and finally covering a packaging element 13 made of a flexible material to prepare the identification component.
In the embodiment of the present application, the substrate element 11 and the encapsulation element 13 are both made of PDMS or silicone rubber, and the thickness of the substrate element 11 and the thickness of the encapsulation element 13 are both 300 μm to 800 μm.
It should be noted that, the substrate element 11 and the encapsulation element 13 are preferably made of flexible PDMS or silicone rubber, so that the identification element 10 can be tightly attached to the skin of the user, the identification element 10 has good fitting performance, and is convenient for wearing gloves, and the hand motions of the user cannot be interfered with. In the present embodiment, the thickness specifications of the base element 11 and the encapsulation element 13 are defined, and the identification component 10 is mainly made light and thin, so as to facilitate wearing the wearable smart glove.
In the embodiment of the present application, the conductive element 12 is a graphene-carbon nanotube hybrid conductive film or a carbon nanotube conductive film with a patterning, and the thickness of the conductive element is 20nm to 30 μm.
It should be noted that the conductive element 12 is a patterned conductive film, so that the sensitivity of the identification element 10 is high.
Example three:
the application also provides a grip detection part, is applied to foretell wearable intelligent gloves, and grip detection part includes bottom electrode component and covers the last electrode component at bottom electrode component, and the length and the width of grip detection part are 5mm ~ 15mm, and the thickness of grip detection part is less than 2 mm.
It should be noted that the length and width of the grip strength detection member may preferably be 10mm, and the thickness of the grip strength detection member is preferably 1 mm.
In the embodiment of the application, the lower electrode element is made of a carbon nanotube film, and the interdigital electrode prepared by a laser ablation method is arranged on the lower electrode element. The upper electrode element is an upper electrode element which takes PDMS as a base material and adopts a template method to manufacture a microstructure.
It should be noted that the process of manufacturing the grip strength detecting member 20 is: growing carbon nanotubes on a copper foil, flattening the carbon nanotubes, transferring the carbon nanotubes to a PDMS substrate, and firing a pattern by using a laser ablation method to prepare an interdigital electrode of a lower electrode element; and in the upper electrode element, constructing a surface microstructure based on an abrasive paper template, pouring PDMS (polydimethylsiloxane) for curing, stripping the abrasive paper template, dropwise adding titanium carbide, and performing vacuum drying to manufacture the upper electrode element. The grip strength detecting member 20 is obtained by covering the upper electrode element on the lower electrode element. In this embodiment, the grip strength detection component 20 manufactured by the template method and the laser ablation method has good sensitivity, and the accuracy of pressure detection of the wearable smart glove is improved. The grip strength detection part 20 adopts a micro-structural design, so that the grip strength detection part 20 is convenient to be designed to be light and thin.
Fig. 5 is a test chart of the identification means according to the embodiment of the present application, and fig. 6 is a test chart of the grip strength detection means according to the embodiment of the present application.
In the embodiment of the present application, the above-mentioned identification element 10 and grip strength detection member 20 are used for testing, for example: the identification element 10 is arranged at the finger joint of the user, the finger of the user bends to obtain a relationship graph of the finger joint bending and the resistance value change, as shown in fig. 5, as can be seen from fig. 5, the resistance value obtained by detecting along with the increase of the finger bending strength is obviously increased. The user holds 50g of the object and 500g of the object (e.g., wash bottle) and detects the change in signal intensity as shown in FIG. 6.
The terminal device may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The terminal device may include, but is not limited to, a processor, a memory. Those skilled in the art will appreciate that the terminal device is not limited and may include more or fewer components than those shown, or some components may be combined, or different components, e.g., the terminal device may also include input output devices, network access devices, buses, etc.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage may be an internal storage unit of the terminal device, such as a hard disk or a memory of the terminal device. The memory may also be an external storage device of the terminal device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the terminal device. Further, the memory may also include both an internal storage unit of the terminal device and an external storage device. The memory is used for storing computer programs and other programs and data required by the terminal device. The memory may also be used to temporarily store data that has been output or is to be output.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one type of logical functional division, and other divisions may be realized in practice, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (9)
1. A wearable smart glove is characterized by comprising an identification component, a grip strength detection component and a control unit;
the recognition component is arranged on the back of the glove and used for acquiring a strain signal of a gesture and transmitting the acquired strain signal to the control unit;
the grip strength detection part is arranged at the palm of the glove and is used for collecting a pressure signal of the grip strength and transmitting the pressure signal to the control unit;
the control unit is used for preprocessing the strain signal and the pressure signal to obtain a first preprocessed strain signal and a first preprocessed pressure signal; and optionally, communicating the first strain signal and first pressure signal to optionally other internal and/or external components or units of the wearable smart glove;
further comprising:
the data processing and storing unit is used for carrying out data processing on the first strain signal and the first pressure signal to obtain gesture data and grip strength data and storing the gesture data and the grip strength data; and/or
The display unit is used for displaying gestures through the gesture data and displaying holding force through the holding force data; and/or
And the ADC conversion unit is used for converting the analog signal of the strain signal and/or the pressure signal into a data signal, and the ADC conversion unit is respectively connected with the identification component, the grip strength detection component and the control unit.
2. The wearable smart glove of claim 1, wherein the identification component is U-shaped.
3. The wearable smart glove of claim 1 wherein the identification component comprises a flexible strain sensor.
4. An identification component applied to the wearable smart glove according to any one of claims 1 to 3, wherein the identification component comprises a base element, a conductive element disposed on the base element, and an encapsulation element covering the conductive element, and both ends of the conductive element are provided with electrodes.
5. The identification component of claim 4, wherein the conductive element is a patterned graphene-carbon nanotube hybrid conductive film or a carbon nanotube conductive film, and the conductive element has a thickness of 20nm to 30 μm.
6. The identification member according to claim 4, wherein the base member and the encapsulation member are made of PDMS or silicone rubber, and the thickness of the base member and the thickness of the encapsulation member are both 300 μm to 800 μm.
7. A grip strength detection part applied to the wearable smart glove of any one of claims 1 to 3, wherein the grip strength detection part comprises a lower electrode element and an upper electrode element covering the lower electrode element, the length and the width of the grip strength detection part are both 5mm to 15mm, and the thickness of the grip strength detection part is less than 2 mm.
8. The grip strength detection member according to claim 7, wherein the lower electrode element is made of a carbon nanotube film, and the interdigital electrode is formed by laser ablation.
9. The grip strength detection member of claim 7, wherein the upper electrode element is an upper electrode element that is made of PDMS as a base material and has a microstructure by a template method.
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| CN202123232692.7U CN216772373U (en) | 2021-12-21 | 2021-12-21 | Wearable intelligent glove, recognition component and grip strength detection component |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116114949A (en) * | 2023-02-27 | 2023-05-16 | 联纲光电科技股份有限公司 | VR glove preparation method and breathable intelligent VR glove |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116114949A (en) * | 2023-02-27 | 2023-05-16 | 联纲光电科技股份有限公司 | VR glove preparation method and breathable intelligent VR glove |
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