基于特征敏感性控制的智能手机动作识别算法

Intelligent Mobile Action Recognition Algorithm Based on Feature Sensitivity Control

通过对智能手机动作识别算法改进,提高智能手机的嵌入式集成水平和面向对象能力。传统的智能手机动作识别算法采用静态姿势状态空间模型提取算法,当状态空间出现敏感性变化时,识别效果不好。提出一种基于特征敏感性控制的智能手机动作识别算法。基于特征敏感性控制,按翻转的方向,分向前、向后、向侧手翻三种,三个方向上的姿态特征信息采集特征向量,计算智能手机动作状态的变换矩阵分布强度,通过特征敏感性控制,得到的特征方程对模糊状态动作进行完全跟踪补偿,提高手机动作识别能力。仿真结果表明,该算法能有效实现对智能手机动作的实时跟踪和识别,对手机状态特征的追随性能较好,识别误差收敛于0,性能优越,使得智能手机更具有面向对象性,提高了对手机的控制精度。

Through the improvement of the intelligent mobile action recognition algorithm, improve the embedded integrated level of smart phones and object oriented capabilities. Intelligent mobile action recognition algorithm of traditional extraction algorithm by using static posture state space model is constructed, when the state space sensitivity change, the recognition effect is not good. Presents a new intelligent mobile action recognition algorithm based on feature sensitivity control. Based on the characteristics of sensitivity control, in the reverse direction, divided into forward and backward, to a cartwheel three, collecting the characteristic attitude feature informnation vectors in three directions, the intensity distribution of computational intelligent mobile action state transformation matrix, control through the characteristics of sensitivity, the characteristic equation is obtained by the fuzzy state action to complete tracking compensation, improve the mobile action recognition ability. Simulation results show that the algorithm can effectively realize the real-time tracking and recognition of intelligent mobile action, on the phone state characteristics follow performance is better, the identification error converges to O, superior performance, the smart phone has a more object-oriented, improve the control precision of the mobile phone of.