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Self-adaptive correcting-type sign language interpreting system and method

A corrective and self-adaptive technology, applied in character and pattern recognition, instruments, computer components, etc., can solve the problems of high cost, inability to use normal communication for deaf-mute people, and large volume, and achieve simple structure and improved general use Performance and practicability, the effect of accurate recognition of sign language movements

Inactive Publication Date: 2019-08-30
HEFEI UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the volume of the auxiliary equipment is relatively large and the cost is too high. It can only be used in sign language teaching and related teaching and research for deaf-mute students, and cannot be used in the normal communication of deaf-mute people in daily life.

Method used

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  • Self-adaptive correcting-type sign language interpreting system and method
  • Self-adaptive correcting-type sign language interpreting system and method

Examples

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Embodiment Construction

[0023] Such as figure 1 As shown, an adaptive corrective sign language mutual interpretation system includes a left-hand glove body 101, a right-hand glove body 110, an Internet of Things data processing platform 116, and a mobile terminal 115; the five finger covers of the left-hand glove body 101 are respectively installed A first graphene patch type bending angle sensor 102, the left hand attitude sensor 104 and the first WIFI module 105 are installed at the center of the palm of the left hand glove body 101, the first graphene patch type bending angle sensor 102, the left hand attitude sensor 104, the first A WIFI module 105 and the three are connected by the first wire 103; a second graphene patch type bending angle sensor 106 is respectively installed on the five finger covers of the right hand glove body 110, and a right hand posture is installed at the center of the palm of the right hand glove body 110. The sensor 107 and the second WIFI module 109, the second graphen...

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Abstract

The invention relates to a self-adaptive correcting-type sign language interpreting system which comprises a left hand glove body, a right hand glove body, an internet-of-things data processing platform and a mobile terminal. First graphene patch-type bending angle sensors are mounted on five finger sleeves of the left hand glove body correspondingly, and a left hand posture sensor and a first WIFI module are installed at a palm of the left hand glove body. Second graphene patch-type bending angle sensors are mounted on five finger sleeves of the right hand glove body correspondingly, and a right-hand posture sensor and a second WIFI module are installed at a palm of the right hand glove body. A main circuit board, an OLED display, a lithium battery and a loudspeaker are arranged at an opening of the right-hand glove body. The invention further discloses a self-adaptive correcting-type sign language interpreting method. According to the self-adaptive correcting-type sign language interpreting system and method, the gesture actions are captured by sewing the graphene patch-type bending angle sensors and the posture sensors on gloves, so that the interference of the sensor activity on the gesture action recognition is avoided, and recognition of sign language actions are enabled to be more accurate.

Description

technical field [0001] The invention relates to the technical field of wearable devices for assisting the disabled, in particular to an adaptive correction type sign language inter-interpretation system and method. Background technique [0002] Sign language is a complex language system, and it is difficult for most normal people to master and apply sign language to communicate directly with deaf-mute disabled people, which leads to barriers in communication between deaf-mute people and normal people. The sign language translation device can help normal people understand sign language more intuitively, and then enable deaf-mute people to communicate directly with normal people using sign language. At present, the existing sign language recognition devices are mainly data wristbands, which use electromyographic sensors, and have a precise and complex structure and are easily damaged. [0003] In addition, Harbin Institute of Technology has developed a sign language synthesis...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G09B21/00G06K9/00G06K9/62
CPCG09B21/00G06V40/28G06F18/241
Inventor 刘鹏飞李鑫黄英王星颖周何银段冰谭润家
Owner HEFEI UNIV OF TECH
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