CAJ | 학술논문

文章介绍了以ARM9芯片S3C2440为平台的数据手套及其手语识别系统的设计与实现．首先给出了利用弯曲传感器和三轴加速传感器组成的数据手套的整体架构设计；其次，描述了采用FLX-03传感器的手指弯曲度模块、采用ADXL345传感器的手部动作模块、USB通讯模块的实现以及与Mini2440开发板的连接方法；最后，给出了基于该数据手套的一个手语识别系统，该系统界面友好，功能实用、扩展性强、手语识别效率高，可添加更多的手势语，能很好地识别简单的手语．
문장개소료이ARM9심편S3C2440위평태적수거수투급기수어식별계통적설계여실현．수선급출료이용만곡전감기화삼축가속전감기조성적수거수투적정체가구설계；기차，묘술료채용FLX-03전감기적수지만곡도모괴、채용ADXL345전감기적수부동작모괴、USB통신모괴적실현이급여Mini2440개발판적련접방법；최후，급출료기우해수거수투적일개수어식별계통，해계통계면우호，공능실용、확전성강、수어식별효솔고，가첨가경다적수세어，능흔호지식별간단적수어．
This paper describes the design and realization of data glove and sign language recognition system based on ARM9 S3C2440 chip. Firstly, the architecture of data glove with the bend sensor FLX-03 and threeaxis acceleration sensor ADXL345 is proposed. Then, the finger curvature module, hand movement module, USB communication module and connection method with Mini2440 are also described. Finally, we proposed a sign language recognition system based on the data glove. The system has operation-friendly interface, good function, scalability and high recognition rate. And more sign languages can be added in the system and identified.