Recognizing postures in Vietnamese sign language with MEMS accelerometers

Bui, The Duy
Nguyen, Long Thang
In this paper, we discuss the application of microelectronic mechanical system (MEMS) accelerometers for recognizing postures in Vietnamese Sign Language (VSL). We develop a similar device to the Accele Glove [6] for the recognition of VSL. In addition to the five sensors as in the Accele Glove, we placed one more sensor on the back of the hand to improve the recognition process. In addition, we use a completely different method for the classification process leading to very promising results. This paper concentrates on signing with postures, in which the user spells each word with finger signs corresponding to the letters of the alphabet. Therefore, we focus on the recognition of postures that represent the 23 Vietnamese-based letters together with two postures for "space" and "punctuation." The data obtained from the sensing device is transformed to relative angles between fingers and the palm. Each character is recognized by a fuzzy rule-based classification system, which allows the concept of vagueness in recognition. In addition, a set of Vietnamese spelling rules has been applied to improve the classification results. The recognition rate is high even when the postures are not performed perfectly, e.g., the finger is not bended completely or the palm is not straight.
Chi tiết xin mời tham khảo tại http://repository.vnu.edu.vn/handle/VNU_123/31356 
Title: Recognizing postures in Vietnamese sign language with MEMS accelerometers
Authors: Bui, The Duy
Nguyen, Long Thang
Keywords: human computer interaction;microelectronic mechanical system (MEMS) sensors;sign language recognition;Vietnamese sign language (VSL)
Issue Date: 2007
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
Citation: ISIKNOWLEDGE
Description: TNS07628 ; IEEE SENSORS JOURNAL Volume: 7 Issue: 5-6 Pages: 707-712 Published: MAY-JUN 2007
URI: http://repository.vnu.edu.vn/handle/VNU_123/31356
ISSN: 1530-437X
1558-1748
Appears in Collections:Bài báo của ĐHQGHN trong Web of Science

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