新型数据手套及其手势识别研究

摘要

在人机交互系统中,为了准确获取手部的运动信息,设计了一种基于微机电系统MEMS加速度传感器的新型数据手套.该数据手套以MXR9500传感器和SPCE061A单片机为核心元件,通过检测加速度传感器的三轴加速度来获取手势动作的空间三维信息和手指的运动信息.以该数据手套为基础开发的汉语手指语拼音字母识别系统,采用基于模糊理论的识别算法,进一步提高了识别准确率.测试结果表明手套测量数据准确,识别系统准确率高、运行稳定.%In human machine interactive system, in order to obtain the movement information of a hand accurately, the new data glove based on MEMS acceleration sensor has been designed. The data glove is composed of MXR9500 sensor and the single chip computer SPCE061A as the core components, through detecting the tri-axial acceleration of the sensor, the 3-D information of the gesture space and the movement information of fingers can be obtained. On the basis of this data glove, the Chinese finger language Pinyin character recognition system is developed.By adopting the recognition algorithm based on fuzzy theory, the precision of recognition is further enhanced. The test result indicates that the glove measuring data are accurate, and the recognition system is precise and running stably.