CN111665937A - Integrated self-driven full-textile gesture recognition data glove - Google Patents
Integrated self-driven full-textile gesture recognition data glove Download PDFInfo
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- CN111665937A CN111665937A CN202010446906.1A CN202010446906A CN111665937A CN 111665937 A CN111665937 A CN 111665937A CN 202010446906 A CN202010446906 A CN 202010446906A CN 111665937 A CN111665937 A CN 111665937A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
- G06F3/014—Hand-worn input/output arrangements, e.g. data gloves
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- A—HUMAN NECESSITIES
- A41—WEARING APPAREL
- A41D—OUTERWEAR; PROTECTIVE GARMENTS; ACCESSORIES
- A41D19/00—Gloves
- A41D19/0024—Gloves with accessories
- A41D19/0027—Measuring instruments, e.g. watch, thermometer
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
- G06F3/033—Pointing devices displaced or positioned by the user, e.g. mice, trackballs, pens or joysticks; Accessories therefor
Abstract
The invention discloses an integrated self-driven full-textile gesture recognition data glove which is characterized by comprising a glove substrate, a self-powered strain sensing part and flexible weak-sensitive conductive yarns, wherein the glove substrate is provided with a plurality of elastic touch pads; the glove comprises a glove base body, wherein base yarns for weaving the glove base body are elastic insulating yarns, a self-powered strain sensing part is arranged in a plurality of sensing areas of the glove base body, and the self-powered strain sensing part is connected with a control circuit through flexible weak-sensitive conductive yarns. The sensor of the data glove meets the mechanical property of the textile weaving process under the condition of meeting the electrical property, realizes the structural integration of sensing detection and glove materials, and improves the possibility of batch production. Meanwhile, the self-driven non-source of the detection circuit can effectively reduce the burden of equipment and simplify the circuit, and the use limitation caused by charging or battery replacement is avoided.
Description
Technical Field
The invention relates to an integrated self-driven full-textile gesture recognition data glove, and belongs to the technical field of man-machine interaction.
Background
With the technological progress, the use value of the data gloves is found, and the development of the data gloves has important influence on the fields of medical treatment, machinery, textile and the like. The data gloves can collect hand motion signals of a wearer in real time, convert the hand motion signals into digital signals and transmit the digital signals to terminal equipment such as a computer and a mobile phone, and corresponding gesture information is obtained through data analysis. Currently, a CAS-Glove type Data Glove, a 5DT Data Glove type Data Glove and the like are sleeved on a typical Data Glove.
The domestic CAS-Glove type data gloves are made of flexible materials, and flexible bending sensors are mounted at corresponding positions to measure bending angles of joints of fingers. The data glove is provided with 15 sensors in total, the layout is shown in figure 1, and the measurement of the bending angle of each joint of the finger and the finger opening and closing degree are respectively completed. The strain sensor is sewn on the glove base body, so that the glove is comfortable to wear, has small limitation on finger movement and light weight, but cannot detect the angle of the back of the hand relative to the forearm due to the fact that a sensing area at the wrist is not arranged. Meanwhile, the resistance strain sensor material used on the data glove not only needs an external power supply and has high power consumption, but also has great challenges in tensile property and durability of the sensor material. The detection circuit obtains a power supply through an external wire socket, and has certain space and equipment limitation during use.
Similarly, most of the existing data gloves sew sensors in the gap formed by two layers of fabric, which basically satisfies the measurement of important data, but the slight shift of the sensors and the partial overlap and friction with the adjacent sensors can cause the deviation of the measurement result, and affect the stability of the gloves and the symmetry of joints. The tight fit of gloves and hands is very important, but current data gloves when using the sensor, usually every sensor is connected with two electric wires, whole gloves will assemble thirty electric wires or so to control circuit department finally, fig. 2 shows for common data gloves sensing circuit arrangement schematic diagram, wherein the quantity and the softness degree of electric wire 3 influence and dress the travelling comfort, its deformation still can influence measurement accuracy and detection circuit's durability, if the non-flexible original paper closely fits with the hand this moment, can cause the hand not free, restriction motion, produce uncomfortable sense.
Foreign 5DT Data Glove type Data gloves use fiber optic sensors with optical fibers mounted on lightweight and flexible Lycra gloves. Each joint of the finger to be measured has an optical fiber ring, and the optical fiber is installed through a plastic accessory so as to make small movement when the finger is bent. In a standard layout, only two fiber optic sensors are mounted on the back of each finger to measure the bending motion of the major joints. One end of each fiber is connected to an LED (light emitting diode) phototransistor and the other end transmits data back to the control circuit as shown in fig. 3. Meanwhile, the 5DT DataGlove type data glove uses a battery to provide energy, collected signals can be transmitted for 20 meters at most through the Bluetooth technology, the signals are transmitted into a computer through a USB interface at a terminal, and the single use time of the wireless module can reach 8 hours. The battery easily influences the flexibility of gloves, influences and dresses laminating nature and travelling comfort, and need change the battery repeatedly, also brings the trouble for dressing for a long time when causing environmental pollution. The optical fiber sensors 5 and the optical fibers 6 used by the 5DT Data Glove type Data Glove shown in fig. 3 have poor wear resistance, and the existing Data gloves all use passive sensors, cannot be driven by themselves, and cause certain limitation on the use of the Data gloves.
Such a method is based on photoelectric conversion, and most of related inventions of developing data gloves using optical fiber sensors. According to the research, the sensor developed by the optical fiber material has the outstanding characteristics that: the body is small, and the installation and the fixation are easy; the response is real-time and stable. Simultaneously, the method has the following defects: the plastic sheath of the optical fiber generally has poor elasticity and is difficult to recover after being bent for multiple times, and the contact surface gradually generates stress, so that the optical fiber inside the optical fiber is acted; the optical fiber itself is made of plastic, and multiple bending can also generate stress, which is easy to cause cracks at the bending part. The presence of such an influence poses a great threat to the improvement of the measurement accuracy of the sensor.
The existing data gloves have complex manufacturing process, difficult establishment of automatic process, no possibility of batch production and generally higher cost. The invention adopts full textile technology and flexible integration to realize the integration of a sensing system and a glove structure, and reduces the difficulty of batch production and the measurement deviation by the application of textile sensitive materials and the design of a textile structure.
Meanwhile, the energy supply of wearable equipment is always a difficult problem, and the portability, the stability and the durability of the energy supply equipment are to be improved. The self-powered strain sensing yarn is used, so that the overall flexibility of the data glove is improved, the mechanical energy generated by the movement of the hand joints is converted into the electric energy generated by the friction of the internal structure of the self-powered strain sensing yarn along with deformation without charging or replacing batteries, and the output of a sensing signal is provided. The glove has the advantages that the use portability of the glove is effectively improved, the use is not limited by space, time and external equipment, and the use range is enlarged. The conductive yarn with strong tensile property, stable conductivity, high flexibility and strong wear resistance is used, so that the measurement accuracy and the durability of the glove are ensured.
A series of function textile material select for use, and the use burden that environmental suitability and reduction data gloves caused when finally will improving the laminating mode of data gloves and human hand, reinforcing data gloves use finally becomes a wearable weaving equipment of intelligence that all friendly sustainably to human body and environment.
Disclosure of Invention
The invention aims to solve the technical problems of heavy energy supply equipment, complex sewing of a sensing device and weak sensitivity and stability of the existing data glove.
In order to solve the technical problems, the invention provides an integrated self-driven full-textile gesture recognition data glove.
The sensor of the data glove meets the mechanical property of the textile weaving process under the condition of meeting the electrical property, realizes the structural integration of sensing detection and glove materials, and improves the possibility of batch production. Meanwhile, the self-driven non-source of the detection circuit can effectively reduce the burden of equipment and simplify the circuit, and the use limitation caused by charging or battery replacement is avoided.
The method specifically comprises the following steps: the glove comprises a glove substrate, a self-powered strain sensing part, flexible weak-sensing conductive yarns and a control circuit. The glove body uses elastic insulating yarn as the base yarn for weaving the knitted structure of the whole glove, the self-powered strain sensing part uses the self-powered strain sensing yarn as the component for sensing strain and generating electric signals, the flexible weak sensing conductive yarn of the conductive part is used as the component for capturing signals from the sensing area to the control circuit, and the configuration mode of three kinds of yarns, such as plain plaited plaid weave, is shown in fig. 9.
Wherein, the self-powered strain sensing yarn and the flexible weak sensing conductive yarn exist as a glove structure and an electronic element at the same time. On the basis of meeting the electrical property, the fiber is flexible so as to meet the mechanical property required by direct weaving by using a weaving process.
As shown in fig. 5, the sensing regions include a plurality of small finger sensing regions, a plurality of ring finger sensing regions, a plurality of middle finger sensing regions, a plurality of index finger sensing regions, a plurality of thumb sensing regions, a plurality of inter-finger sensing regions, and a wrist sensing region. The sensing areas are respectively arranged at the far interphalangeal joints (DIP joint: first phalangeal joint), the near interphalangeal joint (PIP joint: second phalangeal joint) and the metacarpophalangeal joint (MP joint: third phalangeal joint) of the little finger, the ring finger, the middle finger and the index finger, and the sensing areas are respectively arranged at the thumb far interphalangeal joint (DIP joint: first phalangeal joint), the thumb metacarpophalangeal joint (MP joint: third phalangeal joint) and the thumb carpometacarpal joint of the thumb to detect the gesture forms of the little finger, the ring finger, the middle finger, the index finger and the thumb and the motion information of the fingers relative to the palm; a sensing area is arranged at the wrist and palm joint of the back of the hand to detect the movement and the position of the palm relative to the small arm; and respectively arranging a sensing area at a first (between the thumb and the index finger) finger gap, a second (between the index finger and the middle finger) finger gap, a third (between the middle finger and the ring finger) finger gap and a fourth (between the ring finger and the little finger) finger gap, and detecting the position relation between the fingers. As a result, the motion state of each joint is accurately detected, and the gesture recognition accuracy is improved.
Preferably, the sensing regions at the far interphalangeal joints (DIP) and near interphalangeal joints (PIP) of the small finger, the ring finger, the middle finger and the index finger, and the thumb far interphalangeal joint sensing region of the thumb may be provided in a tubular shape or a sheet shape. The metacarpophalangeal joints (MP) of the little finger, the ring finger, the middle finger and the index finger, the metacarpophalangeal joints of the thumb and the carpometacarpal joints of the thumb, the first finger gap, the second finger gap, the third finger gap, the fourth finger gap and the sensing area at the carpometacarpal joints are arranged in a sheet shape.
Preferably, the glove base fabric weave structure may employ: plain knit (as shown in fig. 6), rib, interlock, and a hybrid of two to three configurations, etc. Knitting structure resilience is good, and deformation is sensitive, and through detecting the fabric structure deformation that hand motion brought, the signal of obtaining can guarantee the measuring accuracy nature.
The structure integration of the yarn used for sensing detection and the glove base material effectively keeps the excellent performances of the data glove as a textile, such as ventilation, softness, stretchable resilience and the like, and accurately detects hand movement based on the deformation of the glove fabric structure. On the other hand, structural integration is favorable to reducing batch production the degree of difficulty of data gloves improves production efficiency to a certain extent.
Preferably, the non-sensing area uses elastic insulating yarn as base yarn, and nylon yarn can be selected but not limited to. The glove can be tightly attached to the hand, the measurement sensitivity is improved, and the limitation on the movement of the hand is reduced.
Preferably, the self-powered strain sensing yarn is a self-powered strain sensing yarn based on triboelectrification, which is made of silver, polytetrafluoroethylene and polyvinyl alcohol and is schematically shown in fig. 8 in a cross-sectional view. Fibrous friction nano-generators and fibrous self-powered materials suitable for fibrous thermoelectric generation devices can also be used and selected according to specific experiments. As a result, the glove is different from the data gloves in the prior art, an external power supply is not needed to provide energy, mechanical energy caused by deformation of the gloves due to mechanical movement of hands is directly converted into electric energy, or heat energy caused by temperature difference between a human body and the environment is converted into electric energy, and self-driven non-activation of the glove can improve real-time response, effectively simplify circuits and reduce use limitation of the data gloves.
The self-powered strain sensing yarn can adopt a weaving mode as follows: plating (as shown in fig. 7), weft insertion, warp insertion, and the like. The measuring component is woven into the glove, so that the measuring component and the glove are integrally configured, the displacement and the overlapping of the sensing component are avoided, and the measuring accuracy is improved.
Preferably, the flexible weak sensitive conductive yarn is a known flexible weak sensitive conductive yarn composed of silver nanoparticles, silver nanotubes and a styrene thermoplastic elastomer, and the manufacturing process is as shown in fig. 11. And various conductive yarns with good electrical properties and stable mechanical properties can be used and selected according to specific experiments. After the signal is transmitted from the sensing area, the flexible weak-sensing conductive yarn is not influenced by the deformation of the hand in the path, the signal transmission stability is ensured, the data distortion is avoided, and the wear resistance of the glove is improved by the excellent tensile property.
The weaving mode of the flexible weak sensitive conductive yarn can be as follows: plating, weft insertion, warp insertion and the like. Through weaving the conductive circuit into in the gloves, improve gloves outward appearance and flexibility ratio realize the full weaving and weave, reduce batch production difficulty.
Preferably, the self-powered strain sensing yarn and the flexible weak sensitive conductive yarn are connected in a welding mode.
The self-driven non-activation is one of the cores of the invention, does not need an external power supply, is not limited by the use space, does not need to replace a battery, is not limited by the use time and has ecological environment-friendliness. Optionally, self-powered strain sensing yarns based on triboelectrification are used, the influence of ambient temperature, humidity and illumination intensity is small, human mechanical energy is converted into electric energy, and real-time power supply is provided.
Preferably, the weaving machine is a seamless knitting machine of the type SM8-TOP2MP 2.
The control circuit is arranged at the back of the wrist and can transmit sensing signals to external terminal equipment by adopting wireless communication or wired communication.
The sensor of the data glove meets the mechanical property of the textile weaving process under the condition of meeting the electrical property, realizes the structural integration of sensing detection and glove materials, and improves the possibility of batch production. Meanwhile, the self-driven non-source of the detection circuit can effectively reduce the burden of equipment and simplify the circuit, and the use limitation caused by charging or battery replacement is avoided.
The invention has the advantages that the self-driven non-source is used for avoiding the problems of heavy and complicated equipment caused by an external power supply and use limitation caused by charging or battery replacement, providing an environment-friendly and sustainable power supply mode, improving the structural appearance of the glove by combining a full textile process and a flexible integrated device, integrating sensing detection and a glove material structure, and reducing the difficulty of batch production. The material is soft fibrosis, so that the limitation of using the glove in daily life of a user is reduced, and the use burden is lightened.
Drawings
FIG. 1 is a schematic diagram of a prior art CAS-Glove type data Glove sensor layout;
FIG. 2 is a schematic diagram of a typical prior art data glove sensing circuit arrangement;
FIG. 3 is a schematic structural diagram of a 5DT Data Glove type Data Glove in the prior art;
FIG. 4 is a schematic diagram of an integrated self-driven full textile gesture recognition data glove structure according to the present invention;
FIG. 5 is a schematic view of the data glove sensing area covering joints;
FIG. 6 is a schematic view of a plain weave construction;
FIG. 7 is a plating stitch construction;
FIG. 8 is a schematic cross-sectional view of a self-powered strain sensing yarn;
FIG. 9 is a schematic view of the three-position plating arrangement of the data glove;
FIG. 10 is a schematic view of the three-position tubular plating arrangement of the data glove;
FIG. 11 is a schematic diagram of the data glove corresponding to two types of gesture sensing area detection;
FIG. 12 is a flow chart of a flexible, weakly-sensitive, electrically-conductive yarn preparation;
FIG. 13 is a schematic view of the data glove detection circuit;
FIG. 14 is a schematic view of a data glove configuration after opening of the tip;
FIG. 15 is a schematic diagram of detection of two gesture sensing areas corresponding to a data glove after a sharp opening;
FIG. 16 is a schematic view of a three-position sheet jacquard arrangement for a data glove;
figure 17 is a schematic diagram of a thermoelectric generation material self-powered data glove configuration.
Detailed Description
The technical scheme of the invention is clearly and completely explained below by combining the attached drawings of the invention.
The invention discloses an integrated self-driven full-textile gesture recognition data glove, which is characterized in that a glove fabric structure is driven to deform through the movement of a hand joint, deformation signals are detected through sensing yarns, signals are transmitted through flexible weak-sensitive conductive yarns, and gestures are recognized through connection of intelligent terminal equipment.
Example 1
As shown in fig. 4, the data glove of the present invention comprises a glove substrate 2, a self-powered strain sensing yarn 7, a flexible weak sensing conductive yarn 8, and a control circuit 4; wherein the glove base body 2 is partially woven by a knitting process using elastic insulating yarn, and the weave can be plain weave (as shown in fig. 6) for achieving close fit of the glove to the hand and serving as a support for supporting the whole sensing circuit. The specific elastic insulating yarn is nylon yarn; 20 self-powered strain sensing parts, wherein the self-powered strain sensing yarns 7 are respectively arranged at three joints of a far interphalangeal joint 9(DIP joint: first phalangeal joint), a near interphalangeal joint 10(PIP joint: second phalangeal joint), a metacarpophalangeal joint 11(MP joint: third phalangeal joint) of the little finger, the ring finger, the middle finger and the index finger, and a thumb far interphalangeal joint 17(DIP joint: first phalangeal joint), a thumb metacarpophalangeal joint 18(MP joint: second phalangeal joint), a thumb carpometacarpal joint 19 of the thumb in a plating manner (shown in figure 7), and detect the gesture forms of the little finger, the ring finger, the middle finger, the index finger and the thumb and the motion information of the fingers relative to the palm; the wrist and palm joints are integrated, and the movement and the position of the palm relative to the forearm are detected; detecting the position relation of the fingers at four positions, namely a first (between the thumb and the index finger) gap 12, a second (between the index finger and the middle finger) gap 13, a third (between the middle finger and the ring finger) gap 14 and a fourth (between the ring finger and the small finger) gap 15; in order to accurately detect the motion state of each joint and improve the gesture recognition accuracy, the integrated form of the self-powered strain sensing yarn 7 is divided into a sheet form (shown in fig. 9) and a tubular form (shown in fig. 10); the far interphalangeal joints 9, the near interphalangeal joints 10 and the far interphalangeal joints 17 of the thumb, the ring finger, the middle finger and the index finger are wrapped on the fingers in a tubular covering mode to measure the bending and stretching degrees of the finger joints in all directions, wherein the total number of the joints is nine; the palm joints 18 of the little finger, ring finger, middle finger, index finger and thumb, the first (between the thumb and index finger) finger gap 12, the second (between the index finger and middle finger) finger gap 13, the third (between the middle finger and ring finger) finger gap 14, the fourth (between the ring finger and little finger) finger gap 15, the wrist palm joint 16 of the back of the hand and the wrist palm joint 19 of the thumb, and eleven positions are counted, and a sheet covering mode is adopted for detecting the bending and rotation of the five fingers, the abduction of the thumb and the relative position relation of each finger in space; in the embodiment, the self-powered strain sensing yarns 7 are arranged in multiple ways according to the motion state of the hand joints, so that the bending degree of each interphalangeal joint, metacarpophalangeal joint or carpometacarpal joint can be sensed by the independent sensing yarns, and therefore the translated gesture language can be recognized; the conductive part adopts flexible weak sensing conductive yarns 8 to connect each part of self-powered strain sensing yarns 7 to the control circuit 4 part so as to transmit electric signal information; the control circuit 4 is used for controlling and processing electric signal information. The arrangement of self-powered strain sensing yarns 7 with the flexible weakly sensitive conductive yarns 8 and glove assembly 2 is shown in figure 4.
The invention takes the state that the five fingers are naturally opened and the fingers, the palm and the forearm are naturally straightened on the same plane as the standard state when a wearer wears the glove. When a wearer makes a gesture, fingers may stretch, bend, rotate and approach each other, the glove and a human body rub to cause the self-powered strain sensing yarn 7 to be stretched or compressed to deform, corresponding sensing areas generate corresponding electric signals, and therefore the gesture state of the fingers is detected. Fig. 11 illustrates two examples, a dark responsive weak sensing area 20, a gray responsive strong sensing area 21, representing a sensing area where the glove is subjected to a greater degree of stretching or compression deformation when the wearer makes a gesture. For example, when the wearer makes gesture word B, the five fingers are kept in a straight state and a standard state, compared with the standard state, so that the sensing areas at the far interphalangeal joint 9(DIP), the near interphalangeal joint 10(PIP), the metacarpophalangeal joint 11(MP), the thumb far interphalangeal joint 17(DIP) and the dorsum wrist and palm joint 16 of the four fingers have only slight or no stretching or compression deformation, and little or no signal is generated; the five fingers are close to each other, so that the sheet-shaped sensing areas at the first finger gap 12, the second finger gap 13, the third finger gap 14 and the fourth finger gap 15 are extruded to generate large-degree compression deformation, and signals are detected; the metacarpophalangeal joint 18 of the thumb is bent, and the carpometacarpal joint 19 of the thumb is rotated and extended, so that the sheet-shaped sensing area at the metacarpophalangeal joint 18(MP) of the thumb and the carpometacarpal joint 19 of the thumb is stretched to generate large stretching deformation, and signals are detected. Similarly, when the wearer makes the gesture language R, the five fingers are close to each other compared with the standard state, so that the sheet-shaped sensing areas at the first finger gap 12, the second finger gap 13, the third finger gap 14 and the fourth finger gap 15 are squeezed to generate a large degree of compression deformation, and a signal is detected; the index finger, the middle finger, the metacarpal and the carpometacarpal are kept consistent with the standard state, so that the sensing areas at the far interphalangeal joint 9(DIP), the near interphalangeal joint 10(PIP) of the index finger and the metacarpophalangeal joint 11(MP) of the middle finger have only slight or no stretching or compression deformation, and weak or no signals are generated; the rest fingers are bent and stretched and the thumb is rotated and unfolded, so that the rest sensing areas are stretched to generate a large degree of stretching deformation, and signals are detected.
Specifically, the self-powered strain sensing yarn 7 with triboelectrification is adopted, the raw materials adopted by the yarn are Ag yarn, PTFE (polytetrafluoroethylene) and PVA (polyvinyl alcohol), PTFE/Ag core-spun yarn is firstly prepared, and the core-spun yarn with PTFE coated outside Ag yarn is produced. In order to meet the requirements of wearable electronic equipment on flexibility, air permeability and flexibility, monofilaments are woven together by a knitting machine and processed to form a three-layer core-shell structure, as shown in fig. 7. The black areas of the outer layer and the inner layer are silver electrodes; the medium layer takes PTFE as a friction layer; the PVA layer between the PTFE layer and the Ag electrode enables the contact separation of the PTFE layer and the Ag electrode to be increased, and the triboelectrification electrical property of the product is ensured. Finally, the manufactured self-powered strain sensing yarn 7 and the glove collective yarn are woven together through a knitting process to obtain the data glove with the sensing area. Mechanical energy is obtained through human motion friction, and then the mechanical energy is converted into electric energy, so that self-power supply is realized. The intelligent electronic fabric woven by the yarn has good air permeability and flexibility, can adjust various parameters, can output the voltage of 8V and the current of 90nA to the maximum extent, is highly sensitive to the external pressure, and has quick response.
The conductive part adopts flexible weak sensitive conductive yarn 8 for signal data transmission; the specific process for preparing the flexible weak-sensitive conductive yarn 8 is shown in fig. 12, the flexible weak-sensitive conductive yarn 8 is prepared by electrostatic spinning, silver nanoparticles and silver nano solution are subjected to jet spinning by a high-voltage electrostatic generating device, and then the yarn on the filter paper is collected and filled into SBS to finally form the flexible weak-sensitive conductive yarn 8(AgNPs, AgNWs, SBS). The lead has excellent tensile property, the initial conductivity can reach 2450 s.m < -1 >, and the conductivity is not influenced when the tensile property reaches 220 percent. During weaving, the yarn and the glove matrix yarn are plated, laid in or laid in to achieve structural integration.
As shown in fig. 13, a schematic diagram of the data glove detection circuit is shown. As can be seen from the schematic cross-sectional view 23 of the self-powered strain sensing yarn 7, after the stress 22 is applied, the two silver electrodes generate positive and negative charges respectively, and the magnitude of the charges is related to the magnitude of the strain. The electric signal is transmitted out from the flexible weak sensitive conductive yarn 8, a schematic cross-section diagram 24 of the flexible weak sensitive conductive yarn is shown in the figure, and the stable electrical property of the flexible weak sensitive conductive yarn is ensured by the silver nanowires and the silver nanoparticles. After the electric signal is integrated into the control circuit 4, the signal can be transmitted to the terminal equipment by using the Bluetooth technology or wired connection.
Example 2
In another embodiment of the present invention, in the gesture language recognition system for deaf-mute, the far interphalangeal joint states of the little finger, ring finger, middle finger and index finger of the hand are substantially consistent with the near interphalangeal joint, so that the sensing areas of the far interphalangeal joints of the four fingers are not provided, and the configuration of the remaining sensing areas is as shown in fig. 14. The glove base 2 is provided with openings at the tips of the little finger, ring finger, middle finger and index finger (i.e. the part outside the distal interphalangeal joint) at this time, and the finger tips are exposed. Thereby reducing the resistance to bending or stretching during bending or stretching of the fingers and reducing discomfort to the wearer due to tension in the dorsal side panels. And the exposure of the fingertips facilitates the use of touch screen electronic devices. In this example, the distal interphalangeal joints of the little finger, ring finger, middle finger, and index finger are considered to be consistent with their proximal interphalangeal joint motion states. As shown in fig. 15, still using the state that the five fingers are naturally opened and the fingers and the palm and the forearm are naturally straightened on the same plane when the wearer wears the glove as the standard state, when the wearer makes the finger language B and the gesture language R, the data glove makes the reaction as shown in the figure, the corresponding gray sensing area is the response strong sensing area 21, and the black sensing area is the response weak sensing area 20.
Example 3
In another embodiment of the present invention, the self-powered strain sensing yarn 7 and glove substrate 2 may be configured not only by plating process, but also by jacquard process as shown in fig. 16, so that the resulting data glove is lighter and more breathable. Alternative arrangements include warp and weft insertion. Similarly, the data glove using the rib, the interlock or other fabric structure as the glove base body can select a proper mode to perform the structure integration operation according to the requirement when integrating the sensing yarn.
Example 4
The present invention further provides an embodiment in which the self-powered strain sensing yarn 7 is replaced by a flexible thermoelectric generation material 25 and a strain sensing yarn 26. As shown in fig. 16, the flexible thermoelectric power generation material 25 generates a potential difference under the temperature difference between the human body and the external environment, and is connected with the control circuit 4 to form a passage, the current detects the joint motion state through the strain sensing yarn 26, and the signal is transmitted back to the control circuit 4 along with the flexible weak sensing conductive yarn 8. Alternatively, the shape and placement position of the thermoelectric generation material are not limited to the description of fig. 17.
It is to be understood that the above-described embodiments are only some of the presently preferred embodiments of the invention, and not all embodiments. The emphasis of each embodiment is on the difference from the other embodiments, and the same and similar parts among the various embodiments can be referred to each other.
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above-mentioned embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may occur to those skilled in the art without departing from the principle of the invention, and are considered to be within the scope of the invention.
Claims (9)
1. An integrated self-driven full-textile gesture recognition data glove is characterized by comprising a glove substrate, a self-powered strain sensing part, flexible weak-sensing conductive yarns and a control circuit; the glove comprises a glove base body, wherein base yarns for weaving the glove base body are elastic insulating yarns, a self-powered strain sensing part is arranged in a plurality of sensing areas of the glove base body, and the self-powered strain sensing part is connected with a control circuit through flexible weak-sensitive conductive yarns.
2. The integrated self-driven full textile gesture recognition data glove of claim 1, wherein the flexible weak sensitive conductive yarn is a flexible weak sensitive conductive yarn composed of silver nanoparticles, silver nanotubes and a styrene thermoplastic elastomer, and the flexible weak sensitive conductive yarn is woven in a plating, weft insertion or warp insertion manner.
3. The integrated self-driven full textile gesture recognition data glove of claim 1, wherein the control circuit is disposed at the back of the wrist, and the control circuit transmits the sensing signal to the external terminal device through wireless communication or wired communication.
4. The all-in-one self-powered textile hand gesture recognition data glove of claim 1, wherein the self-powered strain sensing portion is a self-powered strain sensing yarn; the self-powered strain sensing yarn is a self-powered strain sensing yarn based on triboelectrification and composed of silver, polytetrafluoroethylene and polyvinyl alcohol.
5. The all-in-one self-powered textile hand gesture recognition data glove of claim 1, wherein the self-powered strain sensing portion comprises a flexible thermoelectric generation material and a strain sensing yarn.
6. The integrated self-driven full textile hand gesture recognition data glove of claim 4 or 5, wherein the fabric weave structure of the glove substrate is a plain, rib or a mixture of two or three structures; the weaving mode of the self-powered strain sensing part is plating, weft insertion or warp insertion.
7. The integrated self-driven textile-wide gesture recognition data glove of claim 6, wherein the sensing areas comprise a plurality of little finger sensing areas, a plurality of ring finger sensing areas, a plurality of middle finger sensing areas, a plurality of index finger sensing areas, a plurality of thumb sensing areas, a plurality of inter-digital sensing areas and a wrist sensing area, and specifically comprises: the distal interphalangeal joints, the proximal interphalangeal joints and the metacarpophalangeal joints of the little finger, the ring finger, the middle finger and the index finger; the distal interphalangeal joint of the thumb, the metacarpophalangeal joint of the thumb and the carpometacarpal joint of the thumb; dorsum, wrist, and palm joints; a first finger space, a second finger space, a third finger space, and a fourth finger space.
8. The all-in-one self-powered textile-full-textile gesture-recognition data glove of claim 7, wherein the self-powered strain sensing portion is tubular or sheet-like at the distal interphalangeal joint of the little finger, ring finger, middle finger, index finger, proximal interphalangeal joint, and thumb distal interphalangeal joint of the thumb; the self-powered strain sensing part is in a sheet shape at the metacarpophalangeal joints of the little finger, the ring finger, the middle finger and the index finger, the thumb metacarpophalangeal joint of the thumb, the thumb carpometacarpal joint, the first finger gap, the second finger gap, the third finger gap, the fourth finger gap and the back carpometacarpal joint of the hand.
9. The integrated self-propelled all-textile gesture-recognition data glove of claim 1, wherein the glove base is provided with openings at the tip of the little finger, ring finger, middle finger, and index finger.
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