Estimation of Hand Posture with Straight Line Detection for a Hand Pose Rally System

Ayumu Meiji, A. Suganuma
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Abstract

There is an event called "stamp rally" that collects checkpoint stamps. The event needs some rally tools. If a participant loses his/her rally tools, it will be difficult for him/her to continue the rally. We are developing the hand pose rally system, which is one of the "gesture interface". Our system attempts to identify an individual by the posture of the participant's hand captured by the USB camera. By bending and stretching five fingers, 32 types of hand postures are achieved. This system estimates which of the 32 types of hand postures whom he/she has presented. We have been constructing a posture estimation method. However, the accuracy was not so good depending on the posture of the hand. In this paper, we focus only on the posture estimation part of the hand pose rally system, and consider a method to improve the estimation accuracy.
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基于直线检测的手部姿态估计方法
有一个叫做“邮票集会”的活动,收集检查站的邮票。这个活动需要一些集会工具。如果参与者丢失了他/她的拉力赛工具,他/她将很难继续拉力赛。我们正在开发的手部姿势集合系统,是“手势界面”之一。我们的系统试图通过USB摄像头捕捉到的参与者的手的姿势来识别一个人。通过弯曲和伸展五个手指,可以实现32种手部姿势。这个系统估计他/她展示了32种手势中的哪一种。我们一直在构建一种姿态估计方法。然而,根据手的姿势,准确度不是很好。在本文中,我们只关注手部姿态集合系统的姿态估计部分,并考虑一种提高姿态估计精度的方法。
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