基于多重触控的多通道视觉界面信息传达仿真

Information Communication Simulation of Multi-Channel Visual Interface Based on Multi Touch

多通道视觉界面信息操作手势多样化,为满足不同用户需求,提出一种基于多重触控的多通道视觉界面信息传达方法。使用神经网络对原子手势建模,引入逻辑、时序和空间关系描述符分析组合手势架构,运用BP网络分类器检测原子手势,触发组合手势模型转移,实现多重触控手势识别;定义交互界面与程序主体功能不同路径,划分交互设备与信息处理过程,实现多通道信息整合与交互控制;最后将初始数据材料变换成信息模式,变量删除网络界面,把所有删除变量安置在删除树内组建连接树,将观测变量似然函数进行势更新,完成视觉界面信息传达全部过程。仿真结果表明,人机交互自然性有效提高,可为用户提供更加多元化网络服务。

In this paper, a multi-channel visual interface information communication method based on multi touch was designed to meet the needs of different users owing to the diversity of multi-channel visual interface information operation gestures. Atomic gestures were modeled by neural networks. Logical, temporal and spatial relationship descriptors were introduced to analyze the architecture of combined gestures. Based on BP network classifier, atomic gestures were detected to trigger the transfer of combined gesture model, recognizing multiple touch gestures. Different paths of interactive interface and program main function were defined to divide interactive equipment and information processing process for integrating and interactively controlling multi-channel information. The initial data material was converted into an information mode to remove variables from the network interface. All deletion variables were placed in the deletion tree to form a connection tree. The likelihood function of the observation variable was updated by the potential. Finally, the whole process of visual interface information transmission was achieved. The simulation results show that the naturalness of human-computer interaction is effectively improved, indicating that more diversified network services can be provided for users.