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        <identifier>oai:kait.repo.nii.ac.jp:00000980</identifier>
        <datestamp>2025-06-17T04:46:24Z</datestamp>
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          <dc:title xml:lang="ja">筆圧ダブレットによるオンラインサイン認証の改良</dc:title>
          <dc:title xml:lang="en">Integrated Online Sign Detection Using Writing Stroke and Writing Pressure</dc:title>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="ja">小南, 嘉史</jpcoar:creatorName>
            <jpcoar:creatorName xml:lang="en">Kominami, Yoshifumi</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="ja">西村, 広光</jpcoar:creatorName>
            <jpcoar:creatorName xml:lang="en">Nishimura, Hiromitsu</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="ja">富川, 武彦</jpcoar:creatorName>
            <jpcoar:creatorName xml:lang="en">Tomikawa, Takehiko</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:subject xml:lang="en" subjectScheme="Other">User detection</jpcoar:subject>
          <jpcoar:subject xml:lang="en" subjectScheme="Other">User identification</jpcoar:subject>
          <jpcoar:subject xml:lang="en" subjectScheme="Other">On-line sign</jpcoar:subject>
          <jpcoar:subject xml:lang="en" subjectScheme="Other">pen pressure</jpcoar:subject>
          <jpcoar:subject xml:lang="en" subjectScheme="Other">pen stroke</jpcoar:subject>
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          <datacite:description xml:lang="en" descriptionType="Abstract">In the field of user detection, many detection methods using biometrics attracts are reported in recent years. We reported an online sign detection system using writing stroke and writing pressure. Our system is improved to be able to distinguish similar online sign form using differences of the number of writing strokes. In this paper, we investigate better relationship between writing stroke and writing pressure for sign detection.Im proving our user detection system based on these considerations, user detection performances were evaluated. From our evaluation results, proposed method correctly detected registrants and non-registrants. Comprehensive evaluation results show that our system would perform high capability on user detection.</datacite:description>
          <dc:publisher>神奈川工科大学</dc:publisher>
          <datacite:date dateType="Issued">2005-03-20</datacite:date>
          <dc:language>jpn</dc:language>
          <dc:type rdf:resource="http://purl.org/coar/resource_type/c_6501">departmental bulletin paper</dc:type>
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          <jpcoar:identifier identifierType="DOI">https://doi.org/10.34411/00000973</jpcoar:identifier>
          <jpcoar:identifier identifierType="HDL">http://hdl.handle.net/10368/968</jpcoar:identifier>
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          <jpcoar:sourceIdentifier identifierType="NCID">AN10074179</jpcoar:sourceIdentifier>
          <jpcoar:sourceIdentifier identifierType="PISSN">09161902</jpcoar:sourceIdentifier>
          <jpcoar:sourceTitle>神奈川工科大学研究報告.B,理工学編</jpcoar:sourceTitle>
          <jpcoar:volume>29</jpcoar:volume>
          <jpcoar:pageStart>47</jpcoar:pageStart>
          <jpcoar:pageEnd>54</jpcoar:pageEnd>
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            <datacite:date dateType="Available">2010-02-03</datacite:date>
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