It is our great pleasure to welcome you to the Ubiquitous Meta User Interfaces (Ubi-MUI) workshop 2011. Nowadays, there is a growing research community in the field of interactive systems that can be deployed for intelligent environments. The major characteristics of such environments are the increasing number of embedded intelligent devices (ubiquity) into the background (transparency). The Ubi-MUI 2011 workshop intends to cover research that addresses representation of intelligent environments, concept of Meta user interfaces, and implementation and evaluation aspects. Using Ubi-MUI, users could observe, analyze, understand, control, and customize the adaptive behavior and context-dependent interactions of their surrounding. Addressing the challenges of such research venue is a community-spanning effort, necessitating the pooling of resources and experiences of different research groups. The aim of this workshop thus is to provide a link (1) between these different research groups and (2) between the academic communities and industry groups.
The call for papers attracted 10 submissions. The program committee accepted 4 papers that cover the following topics: control of smart homes with easy touch, gamification of intelligent environments, object detection, multimedia systems for nutrition intake monitoring. We are very confident that you will find this workshop to be very valuable.
Proceeding Downloads
Control smart homes easily with simple touch
Ambient Intelligence (AmI) environments contain many smart artifacts and appliances that users can control automatically or manually. In the manual mode, user interacts with intelligent controllers, touch screens or mobile-phones to control electric and ...
Gamifying intelligent environments
Recently digital designers have begun to integrate game elements and mechanics into non-game applications, systems, and services, to better engage end-users. This notion is named as the "gamification". In this paper, we discuss the idea of applying the ...
Real time object detection using a novel adaptive color thresholding method
Object detection is an important area of research in computer vision. One of the challenges in this domain is to detect objects in real time using the minimum resources possible. In this paper, we describe a robust method for real time object detection ...
A personal assistive system for nutrient intake monitoring
According to the World Health Organization (WHO) statistics, Obesity has reached epidemic proportions, with over than 1.5 billion adults suffering from overweight in 2008. As Obesity and overweight are major risks to human health, obesity treatment has ...