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Xu et al., 2017 - Google Patents

Learning multi-level features for sensor-based human action recognition

Xu et al., 2017

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Document ID
5402635946727955619
Author
Xu Y
Shen Z
Zhang X
Gao Y
Deng S
Wang Y
Fan Y
Chang E
Publication year
Publication venue
Pervasive and Mobile Computing

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Snippet

This paper proposes a multi-level feature learning framework for human action recognition using a single body-worn inertial sensor. The framework consists of three phases, respectively designed to analyze signal-based (low-level), components (mid-level) and …
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Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
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