RECOGNITION OF SIGN LANGUAGE GESTURES USING DEEP LEARNING

被引：0

作者：

Manoj, R. ^{[1
]}

Karthick, R. E. ^{[2
]}

Priyadharshini, Indira R. ^{[1
]}

Renuka, G. ^{[1
]}

Monica ^{[3
]}

机构：

[1] Prince Shri Venkateshwara Padmavathy Engn Coll Ch, Chennai, Tamil Nadu, India

[2] Prince Shri Venkateshwara Padmavathy Engn Coll Ch, Dept Elect & Commun Engn, Chennai, Tamil Nadu, India

[3] Prince Dr K Vasudevan Coll Engn & Technol Chennai, Chennai, India

来源：

INTERNATIONAL JOURNAL OF EARLY CHILDHOOD SPECIAL EDUCATION | 2022年 / 14卷 / 05期

关键词：

sign language detection; alexnet algorithm; WIND TURBINE; VIBRATION;

D O I：

10.9756/INTJECSE/V14I5.52

中图分类号：

G76 [特殊教育];

学科分类号：

040109 ;

摘要：

Sign language is an incredible advancement that has grown over the years. Unfortunately, there are some drawbacks that have come along with this language. Not everyone knows how to interpret sign language when having a conversation with a deaf and dumb person. There is always a need to communicate using sign language. One finds it hard to communicate without an interpreter. To solve this, we need a product that is versatile and robust. We need to convert the sign language so that it is understood by common people and will help them to communicate without any barriers. Here we used ALEXNET algorithm. Then we compared the CNN algorithm and Alexnet algorithm which one is give more accuracy

引用

页码：508 / 516

页数：9

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