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    <responseDate>2026-10-13T11:57:57Z</responseDate>
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    <identifier>10.57760/sciencedb.41373</identifier>
    <datestamp>2026-06-30T17:07:16Z</datestamp>
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  <dc:date>2026-06-30</dc:date>
  <dc:title>Impact of Movement Amplitude in Dynamic Visual Cues on Motor Imagery Ability and BCI Classification</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.41373</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Motor imagery-based brain-computer interface (MI-BCI) is an important research topic in the field of motor function rehabilitation. Dynamic visual cues can modulate motor imagery (MI) performance, yet the influence of movement amplitude remains underexplored. This study investigates the modulatory effects of movement amplitude in dynamic visual cues on motor imagery ability and MI-BCI classification performance. Participants performed right-hand MI tasks cued by dynamic visual stimuli of three amplitudes (large: 60&amp;deg;, medium: 40&amp;deg;, small: 20&amp;deg;). Subjective kinesthetic imagery vividness, beta-band Event-related desynchronization (ERD), and classification accuracy were measured. Results showed that large-amplitude visual cues significantly enhanced subjective vividness scores (KMI: 3.14 &amp;plusmn; 0.85), elicited stronger MI-related cortical activation (beta-band ERD: -6.92 &amp;plusmn; 9.97), and achieved higher MI-BCI classification accuracy (e.g., beta-band accuracy: 93.45% &amp;plusmn; 5.37%) compared with medium and small amplitudes. These findings indicate that the amplitude of dynamic visual cues modulates both subjective and objective MI performance, providing practical insights for optimizing MI-BCI training paradigms and HCI-based rehabilitation interventions.</dc:description>
  <dc:subject>Motor imagery; Brain-computer interface; Dynamic visual cue; Movement amplitude; Event-related desynchronization</dc:subject>
  <dc:creator>Huang Xueqin</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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