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Kaur et al., 2025 - Google Patents

SILK-SVM: An Effective Machine Learning Based Key-Frame Extraction Approach for Dynamic Hand Gesture Recognition

Kaur et al., 2025

Document ID
184382785857736916
Author
Kaur A
Bansal S
Publication year
Publication venue
Arabian Journal for Science and Engineering

External Links

Snippet

Dynamic hand gesture recognition is a fundamental domain in Human–Computer Interaction, wherein machine learning and deep learning models are widely employed. Key- frame extraction from the input hand gesture videos is a challenging task in this domain …
Continue reading at link.springer.com (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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    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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