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Phalanger: Controlling Music Software With Hand Movement Using A Computer Vision and Machine Learning Approach

机译:phalanger:使用计算机视觉和机器学习方法控制手部动作的音乐软件

摘要

Phalanger is a system which facilitates the control of music software with hand and finger motion, with the aim of creating a fluid style of interaction that promotes musicality. The system is purely video based, requires no wearables or accessories and uses affordable and accessible technology. It employs a neural network for background segmentation, a combination of imaging techniques for frame analysis, and a support vector machine (SVM) for recognition of hand positions. System evaluation showed the SVM to reliably differentiate between eight different classes. An initial formative user evaluation with ten musicians was carried out to help build a picture of how users responded to the system; this highlighted areas that need improvement and lent some insight into useful features for the next version.
机译:Phalanger是一个系统,可通过手和手指的运动来促进对音乐软件的控制,目的是创建一种流畅的交互风格,从而促进音乐性。该系统完全基于视频,不需要可穿戴设备或配件,并使用价格合理且可访问的技术。它采用神经网络进行背景分割,结合了用于帧分析的成像技术,以及用于识别手部位置的支持向量机(SVM)。系统评估表明,SVM能够可靠地区分八个不同的类别。对十位音乐家进行了初步的形成性用户评估,以帮助构建用户对系统响应方式的图片;这突出显示了需要改进的领域,并为下一版本的有用功能提供了一些见识。

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