Synchronized and efficient communication system based on Agent-Mediator framework for adaptive mixed reality space

In recent years, various systems in different fields of life have been developed to simulate real world scenarios with interactive virtual environments. In the mixed reality (MR) space, several objects are involved to interact in numerous ways which may lead to inconsistencies. Hence, we designed a cost-effective and robust framework that allows synchronized interaction in real time among different modules of the Adaptive Mixed Reality (AMR) space. The proposed system consists of Agent-Mediator framework. Each smart media agent (SMA) in AMR space has its own data processing, management and visualization units. SMA processes the data received from various input devices and updates the local model by reflecting the immersive contents on media walls. SMA maintains synchronization locally as well as transmits the information and raw-data to the Mediator. The central control system i.e. the Mediator receives data from several SMAs and conducts comparative analysis to select appropriate information. It updates the global model by sharing the synchronized updated status with other SMAs in AMR space. The proposed framework provides a real time interaction with immersive contents in AMR space and adjusts it efficiently to different typology on the basis of user's response.

[1]  Sung Wook Baik,et al.  Performance Evaluation of an Agent Based Distributed Data Mining System , 2005, Canadian Conference on AI.

[2]  George Papagiannakis,et al.  Believability and Presence in Mobile Mixed Reality Environments , 2005 .

[3]  Dong Wei,et al.  MTMR: A conceptual interior design framework integrating Mixed Reality with the Multi-Touch tabletop interface , 2010, 2010 IEEE International Symposium on Mixed and Augmented Reality.

[4]  Charles E. Hughes,et al.  Mixed reality in education, entertainment, and training , 2005, IEEE Computer Graphics and Applications.

[5]  Sung Wook Baik,et al.  Agent Based Distributed Data Mining , 2004, PDCAT.

[6]  M. Otsuki,et al.  Novel interaction methods with mixed reality space , 2008, 2008 SICE Annual Conference.

[7]  Loong Fah Cheong,et al.  Inserting 3D projected virtual content into broadcast tennis video , 2006, MM '06.

[8]  Ronald Azuma,et al.  Recent Advances in Augmented Reality , 2001, IEEE Computer Graphics and Applications.

[9]  Julie A. Adams,et al.  Immersion with robots in large virtual environments , 2012, 2012 7th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[10]  Kong-Wah Wan,et al.  Advertising Insertion in Sports Webcasts , 2007, IEEE MultiMedia.

[11]  Carlos Delgado Kloos,et al.  Learning a Foreign Language in a Mixed-Reality Environment , 2011, IEEE Internet Computing.

[12]  N. Magnenat-Thalmann,et al.  Practical Precomputed Radiance Transfer for Mixed Reality , 2005 .

[13]  George Papagiannakis,et al.  An Interactive Mixed Reality Framework for Virtual Humans , 2006, 2006 International Conference on Cyberworlds.

[14]  Christophe Kolski,et al.  EISEval, a generic reconfigurable environment for evaluating agent-based interactive systems , 2013, Int. J. Hum. Comput. Stud..

[15]  Peter H. N. de With,et al.  A Mixed-Reality System for Broadcasting Sports Video to Mobile Devices , 2011, IEEE MultiMedia.