Proposal of a Hand Motion and Control Method Matching System for Interaction Optimized for Mixed Reality Control: Focusing on Meta Interface and Augmented Behavior

Saya Lee, Eunjong Lee
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Abstract

In an era where non-face-to-face meetings become common, eXtended Reality(XR) is rapidly developing and filling areas that are not satisfied in online meetings based on existing photos/video method. In particular, general users are also able to easily access and use HMD-type mixed reality devices. However, the basic operations applied in HMD-type in Mixed Reality(MR) with hands as the main input tool do not have a standardized system, and each manufacturer operates in a separate response to each other's hand movements. Therefore, this study considered that a systematic hand motion matching system considering the usability and efficiency of operations performed in mixed reality was necessary, and conducted a study to clarify this. First, the basic operation performed in the MR environment and its attributes were investigated, and at the same time, the structure of the hand and the attributes of the possible hand movements were identified. Based on the identified properties, it is intended to present a system that can intuitively and efficiently match basic operation properties in the MR environment with subtle operation properties according to the structure/context of the hand.
一种面向混合现实控制优化的手部运动与控制方法匹配系统:基于元界面和增强行为
在非面对面会议越来越普遍的时代,扩展现实(XR)正在迅速发展,并填补了基于现有照片/视频方式的在线会议无法满足的领域。特别是,普通用户也能够轻松访问和使用hmd类型的混合现实设备。然而,以手为主要输入工具的HMD-type在混合现实(MR)中应用的基本操作没有一个标准化的系统,每个制造商对彼此的手的运动都有单独的响应。因此,本研究认为有必要建立一个考虑混合现实中操作的可用性和效率的系统手部运动匹配系统,并对此进行研究。首先,研究了在MR环境下进行的基本操作及其属性,同时识别了手部的结构和可能的手部运动属性。在此基础上,提出一种能够根据手的结构/上下文,直观高效地匹配MR环境中基本操作属性与微妙操作属性的系统。
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