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

An apparatus for recognizing a user's motions, comprising:

• a first feature vector extractor configured to multiply a sensor data matrix comprising frequency domain sensor data acquired from sensors by a transposed matrix of a first basis matrix orthogonalized with respect to the sensor data matrix to extract a first feature vector;
• a second feature vector extractor configured to multiply a label matrix comprising label information by a transposed matrix of a second basis matrix of the label matrix to extract a second feature vector;
• an integrated feature vector generator configured to integrate the first feature vector and the second feature vector to generate an integrated feature vector;
• and
• a multi-class classifier configured to use the integrated feature vector to classify the user's motion into a type from among types of a user's motions.

A method for generating an Orthogonal Non-negative Matrix Factorization (ONMF)-based basis matrix for extracting motion features of a user, comprising:

• obtaining a sensor data matrix comprising sensor data acquired from sensors;
• extracting an integrated feature vector from the sensor data matrix comprising an ONMF-based feature vector;
• and
• generating a basis matrix of the integrated feature vector.

A method for generating an Orthogonal Semi-Supervised Non-negative Matrix Factorization (OSSNMF)-based basis matrix for extracting motion features of a user comprising:

• acquiring sensor data measured from a plurality of sensors and a spectrogram of the sensor data;
• generating an integrated feature vector comprising an OSSNMF-based feature vector based on the spectrogram and label data;
• randomly initializing a first basis matrix of the sensor data, a second basis matrix of the label data, and an encoding matrix;
• updating an initialized first basis matrix, an initialized second basis matrix and an initialized encoding matrix;
• and
• generating a basis matrix of the integrated feature vector.

An apparatus for generating an Orthogonal Non-negative Matrix Factorization (ONMF)-based basis matrix for extracting motion features of a user, comprising:

• sensors;
• and
• a feature vector extractor configured to:
• obtain sensor data from the sensors;
• extract an integrated feature vector from the sensor data comprising an ONMF-based feature vector;
• and
• generate a basis matrix of the integrated feature vector.