A Glove-Based Gesture Recognition System for Vietnamese Sign Language

被引：0
|
作者：
Phi, Lam T. [1 ]
Nguyen, Hung D. [2 ]
Bui, T. T. Quyen [1 ]
Vu, Thang T. [1 ]
机构：
[1] Vietnam Acad Sci & Technol, Inst Informat Technol, Hanoi, Vietnam
[2] Coll Mech & Met, Fac Elect & Electron, Thai Nguyen, Vietnam
来源：
2015 15TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS) | 2015年
关键词：
Vietnamese sign language; Flex sensor; Accelerometer; Matching algorithm; Recognition;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we address a development of a glove-based gesture recognition system for Vietnamese sign language. A sensor glove is attached ten flex sensors and one accelerometer. Here, flex sensors are used for sensing the curvature of fingers and the accelerometer is used in detecting a movement of a hand. Depending on the hand's postures, i.e., vertical, horizontal, and movement, sign language of letters of the Vietnamese alphabets can be divided to category 1, 2, and 3, respectively. Firstly, the hand's posture is recognized. Next, if the hand's posture belongs to either category 1 or category 2, a matching algorithm is used to detect a letter. If the posture belongs to category 3, a dynamic time warping algorithm is applied. The use of our system in recognizing Vietnamese sign language is illustrated. In addition, experimental results are provided.
引用
收藏
页码：1555 / 1559
页数：5
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