Left and right hand distinction for multi-touch tabletop interactions

Proceedings of the 19th international conference on Intelligent User Interfaces Pub Date : 2014-02-24 DOI:10.1145/2557500.2557525

Zhensong Zhang, Fengjun Zhang, Hui Chen, Jiasheng Liu, Hongan Wang, G. Dai

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引用次数: 10

Abstract

In multi-touch interactive systems, it is of great significance to distinguish which hand of the user is touching the surface in real time. Left-right hand distinction is essential for recognizing the multi-finger gestures and further fully exploring the potential of bimanual interaction. However, left-right hand distinction is beyond the capability of most existing multi-touch systems. In this paper, we present a new method for left and right hand distinction based on the human anatomy, work area, finger orientation and finger position. Considering the ergonomics principles of gesture designing, the body-forearm triangle model was proposed. Furthermore, a heuristic algorithm was introduced to group multi-touch contact points and then made left-right hand distinction. A dataset of 2880 images has been set up to evaluate the proposed left-right hand distinction method. The experimental results demonstrate that our method can guarantee the high recognition accuracy and real time performance in freely bimanual multi-touch interactions.

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左手和右手的区别为多点触摸桌面交互

在多点触控交互系统中，实时识别用户的哪只手在触碰物体表面具有重要意义。左手和右手的区分对于识别多指手势和进一步充分挖掘双手交互的潜力至关重要。然而，大多数现有的多点触控系统都无法区分左右手。本文提出了一种基于人体解剖结构、工作区域、手指方向和手指位置的左手和右手识别新方法。结合手势设计的工效学原理，提出了人体-前臂三角形模型。在此基础上，引入启发式算法对多点触点进行分组，并进行左右手区分。建立了一个2880张图像的数据集，对所提出的左右手区分方法进行了评估。实验结果表明，该方法能够保证在自由双手多点触控交互中具有较高的识别精度和实时性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 19th international conference on Intelligent User Interfaces

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