Investigating Segmentation of Continuous Motion in Memorizing using CNV-like Potentials(<Special Issue>Psychology, Measurement of Brain Function and VR)

DOI Web Site 17 References
  • Sunagawa Mika
    Graduate School of Information Science and Technology, Osaka University
  • Niwa Masataka
    Center for Information and Neural Networks, National Institute of Information and Communication Technology
  • Iizuka Hiroyuki
    Graduate School of Information Science and Technology, Osaka University
  • Ando Hideyuki
    Graduate School of Information Science and Technology, Osaka University
  • Maeda Taro
    Graduate School of Information Science and Technology, Osaka University:Center for Information and Neural Networks, National Institute of Information and Communication Technology

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Other Title
  • CNV様変動の検出による動作記憶の離散性の検証(<特集>VR心理学5～脳機能計測とVR～)
  • CNV様変動の検出による動作記憶の離散性の検証
  • CNV ヨウ ヘンドウ ノ ケンシュツ ニ ヨル ドウサ キオク ノ リサンセイ ノ ケンショウ

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Abstract

This study aimed at investigating if CNV-Iike variations are elicited in Electroencephalograms (EEG) when people remember human continuous motion. It is known that there are some important postures in continuous human motion, and the segments divided by the significant postures attract human attention. Since the situation is similar to Event-related brain potential (ERP) experiments, we expected that brain wave variations like Contingent Negative Variation (CNV) would also be elicited during motion remembering. In this study, we found that negative variations tend to precede segments divided by manually selected significant postures.

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