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REAL-TIME GUITAR CHORD ESTIMATION BY STEREO CAMERAS FOR SUPPORTING GUITARISTS

机译:用于支持吉他的立体声摄像机的实时吉他和弦估计

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摘要

Learning to play the guitar usually involves tedious lessons in fingering positions for the left hand. It is difficult for beginners to recognize by themselves whether they are accurately positioning their fingers on the string to make guitar chords. This paper proposes a novel approach for recognizing chords played on a guitar. In real time, it estimates whether a beginner is holding the guitar correctly. This system detects the position of a player's fingers in 3D and calculates the guitar chord which the player's left hand is producing. Stereo cameras are used to compute the 3D positions of fingers using the triangulation method. ARTag (Augmented Reality Tag) is utilized to calculate the extrinsic parameters in each frame, so that our system will allow users to move the guitar while they are playing. The experimental results have revealed that the proposed system is effective even when used in real time.
机译:学习弹吉他通常需要在左手指法位置上乏味的课程。初学者很难自己识别他们是否将手指准确地放在弦上来制作吉他和弦。本文提出了一种识别吉他演奏的和弦的新颖方法。它可以实时估计初学者是否正确握着吉他。该系统在3D模式下检测演奏者手指的位置,并计算演奏者左手产生的吉他和弦。立体相机用于使用三角测量法来计算手指的3D位置。 ARTag(增强现实标签)用于计算每个帧中的外部参数,因此我们的系统将允许用户在弹奏吉他时移动吉他。实验结果表明,所提出的系统即使在实时使用时也是有效的。

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