Abstract:
Traditional input devices are increasingly unable to meet people’s needs of random input. Aiming at the defect, a 3D gesture recognition scheme based on gyroscope sensor is proposed. The hardware architecture of scheme includes a high accuracy data acquisition hardware system based on gyroscope and a MCU based on atmega16 and a wireless transmission module based on nRf24API. The gesture recognition algorithm includes data preprocessing module based on multisection filter. A feature extraction algorithm is based on angular movement to extract the 3D gesture feature. Experimental results show that the average recognition rate of this scheme is 99.3% which can well realize 3D space mouse input function and the keyboard function.
Key words:
3D input,
gesture recognition,
gyro sensor,
human-computer interaction,
Support Vector Machine(SVM),
multi-class classifier
摘要: 传统输入设备无法满足人们的随意性输入需求。为此,提出一种基于陀螺仪传感器的三维手势识别方案。硬件架构由陀螺传感器信息采集模块、单片机信息处理模块以及射频无线传输模块组成。利用多功能滤波器进行数据预处理,设计一种基于角度的特征提取算法,提取三维手势特征。实验结果表明,该方案的平均识别率达到99.3%,能较好地实现3D空间的鼠标输入功能和键盘输入功能。
关键词:
3D输入,
手势识别,
陀螺传感器,
人机交互,
支持向量机,
多类分类器
CLC Number:
HUANG Qi-You, DAI Yong, HU Meng-Qing, LIU Jun-Fa, CHEN Yi-Jiang. 3D Gesture Recognition Scheme Based on Gyro Sensor[J]. Computer Engineering, 2011, 37(22): 153-155.
黄启友, 戴永, 胡明清, 刘军发, 陈益强. 基于陀螺传感器的三维手势识别方案[J]. 计算机工程, 2011, 37(22): 153-155.