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	Improvement of Chinese sign language translation system based on multi-node micro inertial measurement unit
	Tu, Keke ; Pan, Chong ; Zhang, Jiye ; Jin, Yufeng ; Wang, Jack ; Shi, Guangyi
	2015
英文摘要	This paper presents the improvement of Chinese sign language translation system based on studying in HMM algorithm, modeling and analysis. Based on the multi-node micro inertial measurement unit built by MEMS sensors, finger motion can be recoded and analyzed by computer. The computer preprocesses the data from the MEMS sensor nodes, including filtering noise removal and feature extraction. At last we train a classifier through HMM training process. Against 100 daily operations of sign language recognition experiments, the overall recognition rate is 90%. With the optimization and improvement of the algorithm, recognition accuracy and practicability will be greatly improved. We also designed a bidirectional translation system which can switch translation between Chinese sign language and voice freely. ? 2015 IEEE.; EI; 1781-1786
语种	英语
出处	5th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2015
DOI标识	10.1109/CYBER.2015.7288216
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/436589]
专题	软件与微电子学院
推荐引用方式 GB/T 7714	Tu, Keke,Pan, Chong,Zhang, Jiye,et al. Improvement of Chinese sign language translation system based on multi-node micro inertial measurement unit. 2015-01-01.

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