Autonomous input management for Human Interaction-oriented systems design

In this paper evaluation of a policy-based algorithm for video inputs switching is presented. The term `data quality' is not trivial for Human-Machine Interaction systems, yet a simple and efficient algorithm is needed for choosing the most valuable video source. This becomes particularly important for systems that support functional decomposition of image processing algorithm, which are designed for non-optimal working environment. In this paper an autonomous input management system is proposed, which consists of a data quality evaluation algorithm and a simple decision algorithm.

[1]  Eduardo L. Pasiliao,et al.  Control of human-machine interaction for wide area search munitions in the presence of target uncertainty , 2012, 2012 7th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[2]  Mariusz Pelc,et al.  Flexible and Robust Run-Time Configuration for Self-Managing Systems , 2008, 2008 Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems.

[3]  Francisco Casacuberta,et al.  Human interaction for high-quality machine translation , 2009, CACM.

[4]  Aleksandra Kawala-Janik,et al.  Context-aware autonomic systems in real-time applications: Performance evaluation , 2010, 5th International Conference on Pervasive Computing and Applications.

[5]  Michal A. Podpora.  Dynamic re-definition of Region-of-Interest in vision system's feedback , 2009, 2009 2nd International Students Conference on Electrodynamic and Mechatronics.

[6]  Catherine Pelachaud,et al.  An empathic virtual dialog agent to improve human-machine interaction , 2008, AAMAS.

[7]  Mariusz Pelc,et al.  Towards policy-based self-configuration of embedded systems , 2007 .

[8]  Michal Podpora.  Task parallelization of image recognition procedures in a computer cluster , 2010 .