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An all-in-one self-driving all-textile gesture recognition data glove

A gesture recognition and data glove technology, applied in the field of human-computer interaction, can solve the problems of complex stitching of sensor devices, weak sensitivity and stability, and bulky data glove energy supply equipment, and achieve simplified circuits, improved structural appearance, and environmentally friendly power supply methods Effect

Active Publication Date: 2021-08-27
DONGHUA UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] The technical problem to be solved by the present invention is that the energy supply equipment of the existing data glove is heavy, the sewing of the sensor device is complicated, and the stability of the sensitivity is weak

Method used

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  • An all-in-one self-driving all-textile gesture recognition data glove
  • An all-in-one self-driving all-textile gesture recognition data glove
  • An all-in-one self-driving all-textile gesture recognition data glove

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0050] like Figure 4 As shown, the data glove shown in the present invention includes a glove base 2, a self-powered strain sensing yarn 7, a flexible and weakly sensitive conductive yarn 8, and a control circuit 4; wherein, the glove base 2 is woven with elastic insulating yarn through a knitting process , the fabric can be plain weave (such as Image 6 shown) for a snug glove-to-hand fit and as a stand to support the entire sensing circuit. The specific elastic insulating yarn adopts nylon yarn; the self-powered strain sensing part has a total of 20 different positions, and the self-powered strain sensing yarn 7 is used for plating (such as Figure 7 Shown) are respectively set on the distal interphalangeal joint 9 (DIP joint: first phalanx joint), proximal interphalangeal joint 10 (PIP joint: second phalangeal joint) and metacarpophalangeal joint 11 of the little finger, ring finger, middle finger, and index finger (MP joint: third phalangeal joint) and the distal interp...

Embodiment 2

[0056] The present invention also provides an embodiment, because in the deaf-mute sign language recognition system, the states of the far interphalangeal joints of the little finger, ring finger, middle finger, and index finger of the hand are basically the same as the proximal interphalangeal joints, so the above four joints are no longer set. The sensing area of ​​the far interphalangeal joint of only one finger, and the remaining sensing areas are configured as follows Figure 14 shown. The glove base 2 has openings at the fingertips of the little finger, ring finger, middle finger and index finger (that is, the part other than the far interphalangeal joint) to expose the fingertips. This reduces inhibition of flexion or extension during flexion or extension of the fingers, and reduces discomfort to the wearer due to tension in the dorsal side of the hand. And the exposure of the fingertips is helpful to the use of the touch screen electronic equipment. In this example, ...

Embodiment 3

[0058] The present invention also provides an embodiment, the configuration of the self-powered strain sensing yarn 7 and the glove base 2 is not limited to the plating process, and can also be used such as Figure 16 The jacquard process shown, the resulting data gloves are lighter, thinner and more breathable. Optional configuration methods include warp interlining, weft interlining and other processes. Similarly, for the data glove with rib, double rib or other fabric structure as the glove base, when integrating the sensing yarn, select an appropriate method for structural integration according to needs.

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Abstract

The invention discloses an integrated self-driven all-textile gesture recognition data glove, which is characterized in that it includes a glove base, a self-powered strain sensing part, and a flexible and weakly sensitive conductive yarn; the base yarn for weaving the glove base is elastic Insulating yarn, the self-powered strain sensing part is arranged in several sensing areas of the glove base, and the self-powered strain sensing part is connected to the control circuit through the flexible and weakly sensitive conductive yarn. The sensor of the data glove of the present invention is flexible and fibrous under the condition of satisfying the electrical performance, so as to meet the mechanical performance used in the textile weaving process, realize the structural integration of sensor detection and glove material, and improve the possibility of batch production. At the same time, the self-driven passivation of the detection circuit can effectively reduce the burden on the equipment and simplify the circuit, and also avoid the use restrictions caused by charging or replacing the battery.

Description

technical field [0001] The invention relates to an integrated self-driven all-textile gesture recognition data glove, which belongs to the technical field of human-computer interaction. Background technique [0002] With the advancement of science and technology, the use value of data gloves has been discovered, and its development will have an important impact on the fields of medical treatment, machinery and textiles. Data gloves can collect the wearer's hand movement signals in real time, convert them into digital signals and transmit them to terminal devices such as computers and mobile phones, and obtain corresponding gesture information through data analysis. At present, more typical data gloves include CAS-Glove type data gloves, 5DT Data Glove type data gloves, etc. [0003] Domestic CAS-Glove type data gloves are made of flexible materials, and flexible bending sensors are installed at corresponding positions to measure the bending angle of each joint of the finger...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F3/01G06F3/033A41D19/00
CPCA41D19/0027G06F3/014G06F3/033
Inventor 胡吉永梁贞黄静方俊英杨旭东
Owner DONGHUA UNIV
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