检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:孙国道[1] 黄普永 刘义鹏[1] 梁荣华[1] Sun Guodao;Huang Puyong;Liu Yipeng;Liang Ronghua(College of Information Engineering,Zhejiang University of Technology Hangzhou 310023)
出 处:《计算机辅助设计与图形学学报》2018年第7期1268-1275,共8页Journal of Computer-Aided Design & Computer Graphics
基 金:国家自然科学基金(61602409;61502426);浙江省自然科学基金(LQ15F020009);浙江省公益技术应用研究计划项目(2016C33072)
摘 要:由于Leap Motion硬件设备识别范围和其图像识别算法的局限性,当交互手势中手指平面平行于Leap Motion视觉探测方向时容易因产生手指混叠现象,降低手势识别的精度而影响交互体验.为解决手指遮挡问题提高交互体验,提出在不同角度设置双Leap Motion的方法.首先垂直设置双Leap Motion于预定位置;然后对上边Leap Motion探测数据进行矩阵转换;最后对双Leap Motion数据进行数据融合计算,得到手势运动类型.一系列用户对比实验结果表明,该方法在减少手指混叠现象、提高易用性方面有明显作用,具有实际应用价值.Due to the limitation of the recognition scope of Leap Motion(LM) and its image recognition algorithm, finger occlusion phenomenon may occur when finger plane is parallel to the detection direction of LM. It further affects accuracy and interaction experience of gesture recognition. In order to solve the problem of finger occlusion to improve the interaction experience, we propose a method to set two LMs at different angles. First, we set the two LMs vertically at the predetermined positions. Then we conduct matrix transformation for the detected data of above LMs. Data fusion process is further performed to obtain gesture types of fingers movements. User studies are conducted to demonstrate the useful-ness and effectiveness of our method in reducing finger occlusion and improving usability.
关 键 词:Leap MOTION 手指遮挡 手势交互 用户调查
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.127