Augmented Reality Framework for Distributed Collaboration

Abstract

It implements a modular and effective game engine-based development architecture that is used to create shared and interactive virtual and applied projects for study and teaching. To have a wide range of 6-degree of freedom of motion for our virtual environments, we implemented lower cost Microsoft Kinect, Hydra, and Razer's Space Explorer 6-based devices into our architecture. One of the major goals of augmented reality is creating an environment where user is immersed in the scene along with other objects. In a virtual reality, user deals with only virtual objects being rendered in an artificial scene. Augmented reality is the process of rendering virtual objects in a scene such that the scene appears as mixed reality. Augmented Reality based health applications are gaining popularity due to improvement of processing and rendering techniques and open source software. Several cameras based health vital extraction techniques are being developed over last several years. However, these techniques are limited time applications, and are limited by the lighting, environment and posture. In this work we propose a unique cloud based augmented reality health vital framework that extracts continuous pulse rate and pulse signal from user face image using cloud based face detection, intensity normalization, facial contour tracking, atrial vascular network correlation on face and temporal peak detection. The proposed method is validated in real time under controlled clinical environment and provides an overall accuracy of 91%. The system also augments continuous health information on the real camera feed.