Real Time Isolated Turkish Sign Language Recognition from Video Using Hidden Markov Models with Global Features

机译：使用具有全局特征的隐马尔可夫模型从视频进行实时隔离的土耳其手语识别

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This paper introduces a video based system that recognizes gestures of Turkish Sign Language (TSL). Hidden Markov Models (HMMs) have been applied to design a sign language recognizer because of the fact that HMMs seem ideal technology for gesture recognition due to its ability of handling dynamic motion. It is seen that sampling only four key-frames is enough to detect the gesture. Concentrating only on the global features of the generated signs, the system achieves a word accuracy of 95.7%.

机译：本文介绍了一种基于视频的系统，该系统可识别土耳其手语（TSL）的手势。隐马尔可夫模型（HMM）已被用于设计手语识别器，因为HMM由于具有动态运动处理能力，因此似乎是手势识别的理想技术。可以看出，仅采样四个关键帧就足以检测到手势。该系统仅专注于所生成符号的整体特征，就可以达到95.7％的字准确度。

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来源
《International Symposium on Computer and Information Sciences(ISCIS 2005); 20051026-28; Istanbul(TR)》|2005年|P.677-687|共11页
会议地点 Istanbul(TR)
作者
Hakan Haberdar; Songuel Albayrak;
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作者单位

Yildiz Technical University, Department of Computer Engineering, 34349 Istanbul, Turkey;

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原文格式 PDF
正文语种 eng
中图分类计算机的应用;
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1. Video-based signer-independent Arabic sign language recognition using hidden Markov models [J] . M. AL-Rousan, K. Assaleh, A. Talaa Applied Soft Computing . 2009,第3期

机译：使用隐马尔可夫模型的基于视频的独立于签名人的阿拉伯手语识别
2. Isolated and Continuous Greek Sign Language Recognition with Hidden Markov Models [J] . Vassilia Pashaloudi, Konstantinos Margaritis Neural, Parallel & Scientific Computations . 2004,第2期

机译：隐马尔可夫模型的孤立和连续希腊手语识别
3. Turkish Sign Language Recognition Using Hidden Markov Model [J] . Kakajan Kakayev, Ph.D. Songül Albayrak Computer Science & Information Technology . 2016,第8期

机译：隐马尔可夫模型的土耳其手语识别
4. Real Time Isolated Turkish Sign Language Recognition from Video Using Hidden Markov Models with Global Features [C] . Hakan Haberdar, Songül Albayrak International Symposium on Computer and Information Sciences . 2005

机译：实时孤立土耳其语手语识别来自视频使用隐藏的马尔可夫模型与全局功能
5. American Sign Language recognition: Reducing the complexity of the task with phoneme-based modeling and parallel hidden Markov models. [D] . Vogler, Christian Philipp. 2003

机译：美国手语识别：通过基于音素的建模和并行隐马尔可夫模型，降低了任务的复杂性。
6. Rejection of Irrelevant Human Actions in Real-time Hidden Markov Model based Recognition Systems for Wearable Computers [O] . Jerry Mannil, Mohammad-Mahdi Bidmeshki, Roozbeh Jafari -1

机译：基于可穿戴计算机的实时隐马尔可夫模型的实时隐马尔可夫模型拒绝不相关的人类行动
7. Real-Time American Sign Language Recognition from Video Using Hidden Markov Models [O] . Thad Starner, Alex Pentland 1996

机译：基于隐马尔可夫模型的视频实时美国手语识别

Real Time Isolated Turkish Sign Language Recognition from Video Using Hidden Markov Models with Global Features

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