摘要
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.
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.
出处
《广州大学学报（自然科学版）》
CAS
2012年第4期68-74,共7页
Journal of Guangzhou University:Natural Science Edition
基金
广东省
教育部产学研合作专项资金项目(2011B090400225)资助
