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A standardized sign language simulation smart glove

A glove and smart technology, applied in the field of smart wearable devices, can solve the problems of unfavorable development of standardized sign language, small vocabulary, lack of integrated signal detection and data processing equipment, etc., to achieve easy and wearable effects, simple and reliable circuits , output various effects

Active Publication Date: 2021-05-28
XI AN JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] As an effective means of communication between the hearing-impaired and speech-impaired and with other people, sign language is widely used in daily life, but there are many differences in sign language between different countries and regions, many with local Sign language learning is difficult, and sign language education is not popular enough. Therefore, it is particularly important to develop smart devices that can translate sign language
[0003] At present, there is no unified standard for sign language gestures, which is not conducive to mutual communication between hearing-impaired people and speech-impaired people from different regions
Chinese patent CN109542220A proposes a sign language glove with calibration and learning functions, a system and an implementation method. It solves the problem of the traditional sign language glove's action recognition rate being affected by individual differences and the vocabulary is small by autonomously learning the user's gestures. However, it is not conducive to the development of standardized sign language (standardized sign language is characterized by low degree of personalization of movements and simple and standardized gestures); this patent also does not solve the key problem affecting the development of standardized sign language, that is, how to ensure that the sensor in the glove follows the finger The signals generated by the activities can accurately simulate and reflect sign language gestures (mainly involving the flexion and extension of the knuckles), avoiding confusion in the results of sign language translation; the five bending sensors mentioned in the patent only detect the signals when the fingers are flexed and extended as a whole (this It is due to the insufficient detection performance of the strain sensor itself, which cannot accurately detect the signal changes caused by the flexion of the metacarpophalangeal joints, and the signal changes caused by the flexion of the interphalangeal joints), thus making it impossible to accurately simulate sign language movements by using a single type of sensor
Chinese patent CN105353866A proposes a glove for collecting data for sign language recognition, which uses a variety of sensors to detect the bending angles of multiple nodes of the hand to obtain signals that can accurately simulate hand movements, but uses a large number of non-flexible The sensor cannot guarantee its comfort and practicability as a wearable device; moreover, the test principle and operation process of the azimuth sensor used in this patent are more complicated than that of the strain sensor, and it lacks integrated signal detection and data processing equipment, which requires computer assistance Data processing cannot output signals (translation results) intuitively in real time, which is not conducive to the mass production and promotion of wearable devices

Method used

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  • A standardized sign language simulation smart glove
  • A standardized sign language simulation smart glove
  • A standardized sign language simulation smart glove

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] (1) Preparation of CNTs / PDMS fibers

[0044] 1) Weigh 1 g of PDMS precursor, 0.1 g of PDMS curing agent and 0.2 g of CNTs with a balance.

[0045] 2) The weighed PDMS precursor and PDMS curing agent were mixed and shaken at room temperature for 5 minutes and placed in a petri dish, and the weighed CNTs were added to the petri dish while stirring until the solution in the petri dish became Viscous black semi-solid.

[0046] 3) Cut off the front end of the syringe with a knife and grind it flat, and keep the cylinder area with the same diameter at the front and back to obtain a headless syringe. Put the viscous black semi-solid into the cylinder of the headless syringe equipped with a piston and compact it .

[0047] 4) Push the piston rod to pass the mixture in the headless syringe through the 120μm pore size screen and squeeze it out (when squeezing the syringe, make the cut at the front end of the syringe closely attached to one side of the screen, and push the pisto...

Embodiment 2

[0075] Except for the elastic conductive fibers, the others are the same as in Embodiment 1.

[0076] 1) Weigh 1 g of PDMS precursor, 0.1 g of PDMS curing agent and 0.175 g of CNTs with a balance.

[0077] 2) The weighed PDMS precursor and PDMS curing agent were mixed and shaken at room temperature for 5 minutes and placed in a petri dish, and the weighed CNTs were added to the petri dish while stirring until the solution in the petri dish became Viscous black semi-solid.

[0078] 3) Cut off the front end of the syringe with a knife and grind it flat, and keep the cylinder area with the same diameter at the front and back to obtain a headless syringe. Put the viscous black semi-solid into the cylinder of the headless syringe equipped with a piston and compact it .

[0079] 4) Push the piston rod to pass the mixture in the headless syringe through the 500μm pore size screen and squeeze it out (when squeezing the syringe, make the cut at the front end of the syringe closely at...

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Abstract

The invention discloses a standardized sign language simulating intelligent glove, which comprises a glove body, a flexible strain sensor, a microprocessor circuit board, a power supply module and an output module. The flexible strain sensor is fixed at the finger joint of the glove, and the resistance value of the flexible strain sensor is controlled by the flexion and extension of the human finger, so that the partial pressure at both ends of the flexible strain sensor changes. The high-frequency components in the obtained voltage signal are filtered by a low-pass filter, converted by an ADC and transmitted to the microprocessor, and finally the gesture translation result is output by the microprocessor. The results can be displayed on the OLED, broadcast in Chinese and English through the TTS speech synthesis chip and speakers, and the results can also be sent to the mobile phone APP through the Bluetooth module. The smart glove is small in size, low in cost, simple in operation, diverse in output forms, and strong in practicability, providing technical support for sign language teaching and sign language communication.

Description

technical field [0001] The invention belongs to the field of intelligent wearable devices, and specifically relates to an intelligent sign language recognition and translation device that can use gloves to simulate the basic gesture characteristics of sign language defined by standards, and perform voice broadcast, screen display, and Bluetooth transmission. Background technique [0002] As an effective means of communication between the hearing-impaired and speech-impaired and with other people, sign language is widely used in daily life, but there are many differences in sign language between different countries and regions, many with local Sign language learning is difficult, and sign language education is not popular enough. Therefore, it is particularly important to develop smart devices that can translate sign language. [0003] At present, there is no unified standard for sign language gestures, which is not conducive to mutual communication between hearing-impaired p...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G09B21/04
CPCG09B21/04
Inventor 李菲李迎春郑纯然徐峰
Owner XI AN JIAOTONG UNIV