Chi tiết| Tên | Special Characters of Vietnamese Sign Language Recognition System Based on Virtual Reality Glove |
| Lĩnh vực | Tin học |
| Tác giả | Diep Nguyen Thi Bich, Trung-Nghia Phung, Thang Vu Tat, Lam Phi Tung |
| Nhà xuất bản / Tạp chí | Năm 2017 |
| Số hiệu ISSN/ISBN | 978-3-319-49072-4 |
| Tóm tắt nội dung | |
In this paper, we introduce a method of recognition numbers and special characters of Vietnam sign language. We address a development of a glove-based gesture recognition system. A sensor glove is attached ten flex sensors and one accelerometer. 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 numbers and special characters can be divided to group 1, 2, and 3, respectively. Firstly, the
hand’s posture is recognized. Next, if the hand’s posture belongs to either group 1 or group 2, a matching algorithm is used to detect a number or one of special characters. If the posture belongs to group 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.
In this paper, we introduce a method of recognition numbersand special characters of Vietnam sign language. We address a developmentof a glove-based gesture recognition system. A sensor glove isattached ten flex sensors and one accelerometer. Flex sensors are usedfor sensing the curvature of fingers and the accelerometer is used indetecting a movement of a hand. Depending on the hand’s postures, i.e.,vertical, horizontal, and movement, sign language of numbers and specialcharacters can be divided to group 1, 2, and 3, respectively. Firstly, thehand’s posture is recognized. Next, if the hand’s posture belongs to eithergroup 1 or group 2, a matching algorithm is used to detect a number orone of special characters. If the posture belongs to group 3, a dynamictime warping algorithm is applied. The use of our system in recognizingVietnamese sign language is illustrated. In addition, experimental resultsare provided. |
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