基于Leap motion的钢琴弹奏手指运动曲线的测量与分析

Aiming at a complete description of establishing an adaptive curve for finger key-touching movements, a new measurement method based on the Leap motion 3D spatial somatosensory sensor is proposed. Firstly, the concept of the finger movement deflection angle is introduced, a finger key-touching movement model is established and the coordinate systems are distributed and aligned; then, according to the new measurement method, the finger key-touching actions are captured and the movement feature points are selected; finally, different fitting modes are used to process the finger key-touching action data under the condition of a 95% confidence interval, and an adaptive function for describing the finger key-touching movement features is established. This function can provide an accurate piano-playing key-touching movement curve for human hands of different lengths. This research provides theoretical support for the establishment of an adaptive discrimination system for finger key-touching movement curves in a piano-playing education service robot teaching platform.

针对建立手指触键运动自适应曲线的完整描述,提出了一种基于Leap motion空间3D体感传感器的新型测量方法。首先引入手指运动偏角的概念,建立手指触键运动模型并分布对齐坐标系;然后,根据新型测量方法,进行手指触键动作捕捉与运动特征点选取;最后运用不同的拟合模式在置信区间为95%的条件下处理手指触键动作数据,建立手指触键运动特征描述自适应函数。该函数针对不同长度的人手可为其提供准确的钢琴弹奏触键运动曲线。该研究为钢琴弹奏教育服务型机器人教学平台中的手指触键运动曲线自适应判别系统的建立提供理论支持。