WISS [1] [2] [3] [13] ( ) [4] [5, 6] MiruSinger[7] [8] [9, 10] [11] Thermoscore[12] Thermoscore 3 2 J. Lave ( )[14]

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1 WISS2012. AR VR 1 AR VR [1]-[12] [2] [4] [8] [7]-[12] Copyright is held by the author(s)., /, [8] 2

2 WISS [1] [2] [3] [13] ( ) [4] [5, 6] MiruSinger[7] [8] [9, 10] [11] Thermoscore[12] Thermoscore 3 2 J. Lave ( )[14]

3 4 ( ) MIDI ( ) (1) 2. (2)

4 WISS 2012 拡大図 ②現在の演奏位置 ④鍵盤目視ボール 楽譜を見ているとき ①楽譜 ③次に打鍵する鍵 鍵盤を見ているとき 図 1. 提示コンテンツ 図 3. 視線認識用カメラの装着 プロジェクタ 映像信号 視線認識 映像生成用PC 実装 5 カメラ映像 視線認識用 カメラ MIDI情報 MIDI鍵盤 図 2. システム構成 学習者は現在どこを演奏しているか直観的に 理解できる また 正しい鍵を弾いたときの み演奏位置は進むようになる 3. 鍵盤上には 光る鍵盤と同様 次に演奏する 鍵上を赤枠 (3) で提示する 4. 各音符の上に鍵盤を見ずに弾けたかどうかを 意味する鍵盤目視ボール (4) を提示する 図 1 に示すようにある瞬間において同時に弾く べき音に対して 1 つの鍵盤目視ボールが対 応づけられている 鍵盤目視ボールの初期カ ラーは赤色で 鍵盤を見ずに弾けた場合 信 号機のように 1 回目は黄色 2 回連続ででき た場合は青色 3 回連続でできた場合は透明 に変化する 一度でも鍵盤を見れば玉の色は 赤色に戻ってしまう また たとえ鍵盤を見 ずに弾いたとしても打鍵ミスをすれば玉の色 が赤色に変わる これにより 学習者は楽譜 上のどの音符で鍵盤や鍵盤上に提示される情 報に頼っているかがわかる 本研究ではこれ を視線チェック機能と呼ぶ このように 打 鍵位置情報を見ないように促すことで打鍵位 置情報からの離脱を支援する 5. 上記で述べた各種機能の On/Off を切り替え るアイコンを 演奏で使用しない鍵の鍵盤上 に用意し ユーザが選択的に利用できるよう にする 4 章で述べた学習支援システムのプロトタイプを 実装した PC は SONY 社の VPCSA を使用した また MIDI 鍵盤として CASIO 社の PriviA PX110 を使用し 視線認識用カメラとして Buffallo 社 の BBT-WC01/SV を使用した 図 3 に示すように 目の前にカメラを設置し あらかじめ楽譜を見てい る場合と鍵盤を見ている場合における目の画像を取 得し テンプレートマッチング法により楽譜か鍵盤 のどちらを見ているか認識する プロトタイプの視 線認識器は 2 種類のテンプレート画像から入力画 像を識別するためリアルタイムに確実に鍵盤か楽譜 のどちらを見ているか判別できるが 例えば 鍵盤 上にあるどちらの手を見ているか 楽譜上のどの音 符を見ているかといった細かな認識はできない な お 目の前にあるカメラは演奏を妨げない プロジェクタとして BenQ 社の MP776 ST を使 用した プロジェクタの鍵盤投影領域は 6 オクター ブ (72 鍵) で プロジェクタの映像がよく見えるよう に黒鍵を白く塗りスクリーンとして鍵盤上部に白い プラスチックの板を設置した PC 上のソフトウェア の開発は Windows 7 上で Microsoft 社の Visual C と Intel 社の OpenCV ライブラリを用 いて行った 評価実験 6 評価実験では 視線チェック機能の有用性を検証 するために演奏初期段階 (ピアノ初心者が初見の楽 曲に対して運指や打鍵位置を覚えるために練習して いる段階) における提案システムを用いた際のピア ノ演奏に関する習熟の速さを評価した 6.1 実験の手順 実験の手順を以下に示す 比較対象 評価実験では 視線チェック機能を適用 した場合と適用していない場合についてそれぞれ比 較した 両手法において視線チェック機能の有無以 外は 4 章で説明したコンテンツを全て提示した 被験者 手法ごとにそれぞれ 3 名ずつ実験しても らった また 一度実験に参加した被験者は他の比

5 A B C D E F W. A. Mozart ( ) ( ) ( ) F 10% (p =0.057) A A D E F B B 1 5 A 5 C C A B

6 WISS [1] C. Lewiston: MaGKeyS: A haptic guidance keyboard system for facilitating sensorimotor training and rehabilitation, PhD Thesis. MIT Media Laboratory, [2] S. Kawamura, M. Ida, T. Wada, and J. Wu: Development of A Virtual Sports Machine Using a Wire Drive System-A Trial of Virtual Tennis, Proceedings of IEEE/SRJ International Conference on Intelligent Robots and Systems, pp , [3] K. Henmi and T. Yoshikawa: Virtual Lesson and Its Application to Virtual Calligraphy System, Proceedings of IEEE International Conference on Robotics and Automation, pp , [4] CASIO lighting/. [5],, :,, Vol. 52, No. 2, pp , [6],, :, 2012, pp , [7] T. Nakano, M. Goto, and Y. Hiraga: MiruSinger: A Singing Skill Visualization Interface Using Real-Time Feedback and Music CD Recordings as Referential Data, Proceedings of IEEE International Symposium on Multimedia Workshops, pp , [8],,,,, :, (Vol.2009-CE-99 No.7), Vol. 2009, No. 7, pp. 1 7, [9] M. Mukai, N. Emura, M. MIURA, and M. Yanagida: Generation of Suitable Phrases for Basic Training to Overcome Weak Points in Playing the Piano, Proceedings of International Congress on Acoustics, MUS , [10] T. Kitamura and M. Miura: Constructing a Support System for Self-learning Playing the Piano at the Beginning Stage, Proceedings of International Conference on Music Perception and Cognition, pp , [11],,, :, 20, pp , [12] H. Miyashita, K. Nishimoto: Thermoscore: A New-type Score with Temperature Sensation, Proceedings of International Conference on New Interface for Musical Expression, pp , [13] J.A. Adams: A Closed Loop Theory of Motor Learning, Journal of Motor Behavior, pp , [14] J. Lave: The Culture of Acquisition and the Practice of Understanding, Cambridge University Press, pp , 1988.

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