使用Kinect实现手指手势交互

Harrison Cook, Quang Vinh Nguyen, S. Simoff
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引用次数: 2

摘要

由于引入了带有深度传感器的相机,如微软的Kinect,在人机交互领域开发了大量的跟踪和手势识别算法和技术。大多数技术依赖于骨骼跟踪,这更适合远距离和全身交互。本文提出了一种新的实时手指手势交互系统,该系统使用Kinect v2来识别指尖和手指手势,从而实现近距离的自然用户交互。我们的贡献还包括使用两个和三个手指的各种手势识别算法,如l手势,ok手势,岩石手势和剪刀手势,以及全手和单指手势。我们通过一个水果切片游戏来证明我们系统的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enabling Finger-Gesture Interaction with Kinect
A large number of tracking and gesture recognition algorithms and technologies have been developed in the field of human-computer interactions thanks to the introduction of cameras with depth sensors such as Microsoft's Kinect. Most of the techniques rely on skeleton tracking which is more suitable for distant and full body interaction. This paper presents a new real-time finger-gesture interaction system using Kinect v2 that identifies fingertips and finger gestures that enable the natural user interaction at a close distance. Our contribution also includes various gesture recognition algorithms using two and three fingers such as L-gesture, OK-gesture, Rock-gesture and Scissor-gesture, in addition to full hand and one-finger gestures. We demonstrate the effectiveness of our system through a fruit slicing game.
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