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首页> 外文期刊>Signal Processing. Image Communication: A Publication of the the European Association for Signal Processing >Multi-modal user interaction method based on gaze tracking and gesture recognition
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Multi-modal user interaction method based on gaze tracking and gesture recognition

机译:基于凝视跟踪和手势识别的多模式用户交互方法

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摘要

This paper presents a gaze tracking technology which provides a convenient human-centric interface for multimedia consumption without any wearable device. It enables a user to interact with various multimedia on a large display in distance by tracking user movement and acquiring high resolution eye images. This paper also presents a gesture recognition technology which is helpful to interact with scene descriptions in terms of controlling and rendering scene objects. It is based on Hidden Markov Model and CRF using a commercial depth sensor. And then, this paper shows a collaboration method with those new sensors and MPEG standards in order to achieve interoperability among interactive applications, new user interaction devices and users.
机译:本文提出了一种凝视跟踪技术,该技术提供了一种方便的以人为中心的多媒体消费界面,而无需任何可穿戴设备。通过跟踪用户的移动并获取高分辨率的眼睛图像,它使用户可以与大型显示器上的各种多媒体进行远程交互。本文还提出了一种手势识别技术,该技术有助于在控制和渲染场景对象方面与场景描述进行交互。它基于使用商业深度传感器的隐马尔可夫模型和CRF。然后,本文展示了与这些新传感器和MPEG标准的协作方法,以实现交互应用程序,新用户交互设备和用户之间的互操作性。

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