APPARATUS FOR RECOGNIZING MOTION FEATURE OF USER, METHOD FOR GENERATING ORTHOGONAL NON-NEGATIVE MATRIX FACTORIZATION (ONMF)-BASED BASIS MATRIX, AND METHOD FOR GENERATING ORTHOGONAL SEMI-SUPERVISED NON-NEGATIVE MATRIX FACTORIZATION (OSSNMF)-BASED BASIS MATRIX
    2.
    发明申请
    APPARATUS FOR RECOGNIZING MOTION FEATURE OF USER, METHOD FOR GENERATING ORTHOGONAL NON-NEGATIVE MATRIX FACTORIZATION (ONMF)-BASED BASIS MATRIX, AND METHOD FOR GENERATING ORTHOGONAL SEMI-SUPERVISED NON-NEGATIVE MATRIX FACTORIZATION (OSSNMF)-BASED BASIS MATRIX 审中-公开
    用于识别用户的运动特征的装置,用于生成正交非负矩阵法(ONMF)的基础矩阵的方法和用于生成正交半潜式非负矩阵加法(OSSNMF)的基于矩阵的方法

    公开(公告)号:US20140207401A1

    公开(公告)日:2014-07-24

    申请号:US14159790

    申请日:2014-01-21

    CPC classification number: G01C21/16 G01C25/005

    Abstract: An apparatus for recognizing a user's motions based on sensor information and label information, a method for establishing an ONMF-based basis matrix, and a method for establishing an OSSNMF-based basis matrix are provided, where the basis matrices are used to extract motion features of the user. The apparatus for recognizing the user's motions may include a feature vector extractor configured to multiply a transposed matrix of an orthogonalized basis matrix by a sensor data matrix of frequency domain sensor data acquired from sensors to extract an ONMF-based feature vector and a multi-class classifier configured to use the extracted ONMF-based feature vector to classify the user's motion into a type from among types of a user's motions.

    Abstract translation: 提供一种用于基于传感器信息和标签信息来识别用户的运动的装置,用于建立基于ONMF的基矩阵的方法以及用于建立基于OSSNMF的基矩阵的方法,其中基矩阵用于提取运动特征 的用户。 用于识别用户运动的装置可以包括特征向量提取器,其被配置为通过从传感器获取的频域传感器数据的传感器数据矩阵来乘积正交基矩阵的转置矩阵,以提取基于ONMF的特征向量和多类 分类器被配置为使用所提取的基于ONMF的特征向量将用户的运动分类为来自用户运动的类型的类型。

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