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Soleimani et al., 2022 - Google Patents

Generic semi-supervised adversarial subject translation for sensor-based activity recognition

Soleimani et al., 2022

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Document ID
4570976497842377510
Author
Soleimani E
Khodabandelou G
Chibani A
Amirat Y
Publication year
Publication venue
Neurocomputing

External Links

Snippet

Abstract Performance of Human Activity Recognition (HAR) models, particularly deep neural networks, is highly contingent upon the availability of the massive amount of annotated training data. Though, data collection and manual labeling in the HAR domain are …
Continue reading at www.sciencedirect.com (PDF) (other versions)

Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G06K9/627—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches based on distances between the pattern to be recognised and training or reference patterns
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