首页> 外国专利> APPARATUS FOR RECOGNIZING FEATURE OF USER METHOD FOR ESTABLISHING BASIS MATRIX BASED ON ORTHOGONAL NON-NEGATIVE MATRIX FACTORIZATION AND METHOD FOR ESTABLISHING BASIS MATRIX BASED ON ORTHOGONAL SEMI-SUPERVISED NON-NEGATIVE MATRIX FACTORIZATION

APPARATUS FOR RECOGNIZING FEATURE OF USER METHOD FOR ESTABLISHING BASIS MATRIX BASED ON ORTHOGONAL NON-NEGATIVE MATRIX FACTORIZATION AND METHOD FOR ESTABLISHING BASIS MATRIX BASED ON ORTHOGONAL SEMI-SUPERVISED NON-NEGATIVE MATRIX FACTORIZATION

机译:基于正交非负矩阵分解建立基础矩阵的用户方法的特征识别装置及基于正交半监督非负矩阵分解建立基础矩阵的用户方法的特征识别装置

摘要

Disclosed are a user behavior recognition apparatus based on multiple sensors and label information, an ONMF based basis matrix generation method, and an OSSNMF based basis matrix generation method. According to an aspect, an apparatus for recognizing user behavior includes: a feature vector extractor configured to multiply a transpose matrix of an orthogonal basis matrix by a sensor data matrix of sensor data of frequency domains obtained from two or more sensors; And a multi-class classification unit classifying the extracted ONMF-based feature vector into any one of two or more types of user behaviors.
机译:公开了一种基于多个传感器和标签信息的用户行为识别装置,基于ONMF的基本矩阵生成方法和基于OSSNMF的基本矩阵生成方法。根据一个方面,一种用于识别用户行为的设备包括:特征向量提取器,被配置为将正交基矩阵的转置矩阵与从两个或更多个传感器获得的频域的传感器数据的传感器数据矩阵相乘;以及一个多类分类单元将提取的基于ONMF的特征向量分类为两种或多种类型的用户行为中的任何一种。

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