Invention Grant
- Patent Title: Method and apparatus for recognizing motion feature of user, using orthogonal semisupervised non-negative matrix factorization (OSSNMF)-based feature data
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Application No.: US14159790Application Date: 2014-01-21
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Publication No.: US10337868B2Publication Date: 2019-07-02
- Inventor: Jae-Mo Sung , Won-Keun Kong , Sae-Hun Kim , Seung-Jin Choi
- Applicant: Samsung Electronics Co., Ltd. , Postech Academy—Industry Foundation
- Applicant Address: KR Suwon-si KR Pohang-si
- Assignee: Samsung Electronics Co., Ltd.,Postech Academy-Industry Foundation
- Current Assignee: Samsung Electronics Co., Ltd.,Postech Academy-Industry Foundation
- Current Assignee Address: KR Suwon-si KR Pohang-si
- Agency: NSIP Law
- Priority: KR10-2013-0006012 20130118
- Main IPC: G01C21/16
- IPC: G01C21/16 ; G01C25/00

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.
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