Real-time Ukrainian sign language recognition system

摘要：

This article focuses on the development of computational methods and software for the computerized real-time Ukrainian sign language recognition system. The proposed recognition model differs from known approaches in the identification of hand shape in motion. The system makes use of a video camera as a sensor. Hand shape recognition method based on fingertips location and pseudo 2dimentional image deformation model is used. The sign identification method is based on the hidden Markov models. There has been applied the one-dimensional hidden Markov model which consists of 8 states. Achieved 91.7％ sign recognition rate of test set comprising 85 signs.

关键词： Sign language neural networks two-dimensional image deformation model hand shape recognition gesture identification

作者: M.V.Davydov I.V.Nikolski V.V.Pasichnyk

作者单位: Information Svstems and Networks Department Lviv Polytechnic National University Lviv,Ukraine Information Svstems and Networks Department Lviv Polytechnic National University Lviv, Ukraine

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 875-879

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）