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                <identifier>oai:data.mendeley.com/2fjd53sbhf.1</identifier>
                <datestamp>2026-08-24T01:10:35Z</datestamp>
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    <dc:creator>guo, ling</dc:creator>
    <dc:title>Dataset for Continuous Block Missing in Data Gloves</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This dataset contains raw multivariate time-series motion data collected from a custom tactile data glove system. It includes continuous sensor readings for five distinct hand gestures: &quot;ok&quot;, &quot;rock&quot;, &quot;rock_roll&quot;, &quot;scissors&quot;, and &quot;thumbs_up&quot;. The hardware utilizes an Arduino Mega 2560 to capture physical interactions through five angular rotation sensors and five linear displacement sensors simultaneously. This dataset is provided to support the evaluation of time-series processing algorithms, particularly for tasks involving missing data imputation, noise filtering, and hand pose estimation.</dc:description>
    <dc:subject>Artificial Intelligence</dc:subject>
    <dc:contributor>Xu, Jin</dc:contributor>
    <dc:contributor>Shen, Cheng</dc:contributor>
    <dc:contributor>Lou, Huanzhi</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/2fjd53sbhf.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/2fjd53sbhf.1</dc:identifier>
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    <dc:date>2026-08-24T01:10:35Z</dc:date>
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