Indian-sign language alphabets identification system based on gestures for children with autism spectrum disorder and deaf children, has neural network constructed to classify which letter of American sign language alphabet is being signed
2023-10-16
专利权人BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
申请日期2023-10-16
专利号IN202341069536-A
成果简介NOVELTY - The system has a sign language detection system which shows what the position of hands in view finder of camera module unit with good accuracy. The sign language detection system is used to help the people who are just beginning to learn the sign language or those who do not know sign language but have a close one who is deaf. A neural network is constructed to classify which letter of American sign language (ASL) alphabet is being signed and provides an image of a signing hand. USE - Indian-sign language alphabets identification system based on gestures for children with autism spectrum disorder (ASD) and deaf children. ADVANTAGE - The system ensures that people around children with ASD and deaf children use sign language detection model to understand what the child is saying.
IPC 分类号A61B-005/00 ; G06F-003/01 ; G06K-009/62 ; G06N-020/00 ; G09B-021/00
国家印度
专业领域信息技术
语种英语
成果类型专利
文献类型科技成果
条目标识符http://119.78.100.226:8889/handle/3KE4DYBR/19952
专题中国科学院新疆生态与地理研究所
作者单位
BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
推荐引用方式
GB/T 7714
ATLAS G L,ETHIRAJULU V,YASWANTH T,et al. Indian-sign language alphabets identification system based on gestures for children with autism spectrum disorder and deaf children, has neural network constructed to classify which letter of American sign language alphabet is being signed. IN202341069536-A[P]. 2023.
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