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Gesture based human motion and game principles to aid understanding of science and cultural practices

机译:基于手势的人体运动和游戏原理,有助于理解科学和文化实践

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We present a novel approach for recreating life-like experiences through an easy and natural gesture-based interaction. By focusing on the locations and transforming the role of the user, we are able to significantly maximise the understanding of an ancient cultural practice, behaviour or event over traditional approaches. Technology-based virtual environments that display object reconstructions, old landscapes, cultural artefacts, and scientific phenomena are coming into vogue. In traditional approaches the user is a visitor navigating through these virtual environments observing and picking objects. However, cultural practices and certain behaviours from nature are not normally made explicit and their dynamics still need to be understood. Thus, our research idea is to bring such practices to life by allowing the user to enact them. This means that user may re-live a step-by-step process to understand a practice, behaviour or event. Our solution is to enable the user to enact using gesture-based interaction with sensor-based technologies such as the versatile Kinect. This allows easier and natural ways to interact in multidimensional spaces such as museum exhibits. We use heuristic approaches and semantic models to interpret human gestures that are captured from the user's skeletal representation. We present and evaluate three applications. For each of the three applications, we integrate these interaction metaphors with gaming elements, thereby achieving a gesture-set to enact a cultural practice, behaviour or event. User evaluation experiments revealed that our approach achieved easy and natural interaction with an overall enhanced learning experience.
机译:我们提出了一种新颖的方法,可通过基于手势的简单自然的交互来重新创建逼真的体验。通过专注于位置并转变用户的角色,我们能够大大地超越传统方法,最大限度地理解古代文化实践,行为或事件。显示对象重建,旧景观,文化文物和科学现象的基于技术的虚拟环境正在流行。在传统方法中,用户是访问者,他们在这些虚拟环境中导航以观察和拾取对象。但是,文化习俗和自然界的某些行为通常没有被明确地阐明,它们的动力仍然需要理解。因此,我们的研究思路是通过允许用户制定实践来使这种实践变为现实。这意味着用户可以重新执行逐步的过程以了解实践,行为或事件。我们的解决方案是使用户能够通过基于手势的交互以及基于传感器的技术(例如通用的Kinect)来执行操作。这允许在多维空间(例如博物馆展品)中进行交互的更轻松自然的方式。我们使用启发式方法和语义模型来解释从用户的骨骼表示中捕获的人类手势。我们介绍并评估三个应用程序。对于这三个应用程序中的每个应用程序,我们将这些交互隐喻与游戏元素进行集成,从而获得一种手势集,以制定一种文化实践,行为或事件。用户评估实验表明,我们的方法实现了轻松自然的互动,并带来了整体增强的学习体验。

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