The purpose of this project is to develop methodologies for automatic human emotion detection from video that can work accurately in uncontrolled, real-world, environments. Emotional activity will be assessed from signals such as the heart-rate, blinking rate or the diameter of the eye’s pupil. Architech Labs conducts research in the areas of machine learning, computer […]

CA Technology wants to design the right software products well. Their user interaction designers recently began interviewing end users in their workplace and developing archetypal descriptions of typical users called ‘personas’. The good thing about personas is that they encourage designers to take a people-first perspective, which is great most of the time. But, sometimes […]

This project aims to develop an intelligent surveillance system for automatic event detection. The proposed system will operate in an indoor environment to notify the user of events of interest in real-time. Most standard systems use visible-light cameras and basic change detection methods (e.g. Background subtraction) to recognize simple events such as intrusion. Instead, we […]

This research project with the industry partner DataWind inc. is an interdisciplinary project that joins together Education, Learning system engineering, and Human-machine interactions. The challenge is to combine these four disciplines’ contributions in order to create a learning system for mobile devices that will be adapted to the individual self-learning, particularly for children in developing […]

MediaSmarts’ vision is to ensure children and youth have the critical thinking skills to engage with media as active and informed digital citizens. This project will redesign one of MediaSmarts cybersecurity games to increase its effectiveness and engagement, through the use of Media Equation principles. The Media Equation is a communication and HCI theory on […]

This project studies efficient online optimization algorithms for large-scale data transfer among data centers in a geographically-distributed cloud system, as well as their SDN (Software Defined Networking)-facilitated implementation. Big data analytics, content distribution, and various web applications (social networking, search engine) have become dominating applications on today’s cloud platforms. Moving bulk volumes of data from […]

METO est une plateforme intégrée d’accélération de croissance pour les organisations qui désirent générer des résultats valorisants de manière organisée et amusante. METO accompagne notamment les dirigeants d’entreprises dans leurs décisions à travers l’exécution de leurs stratégies. Or, avant même d’être un outil, METO est un projet de recherche multidisciplinaire, à la croisée de l’informatique, […]

Too many people drive cars for commuting to work. If people used more active and sustainable transportation options this would reduce the impact on the environment and likely increase people’s physical activity and well-being. Our project partner Sustainable Alberta Association (SAA) is a not for profit organization that organize a Canadian annual wide competition called […]

The knowledge and skills of long-term employees are vital to the success of any business. When they leave, retire or are no longer available to perform their functions new employees are hired to take on their job functions. Somehow the skills of the departing long-term employees have to be transferred to the newly hired. The […]

Minimally invasive interventions are becoming increasingly common as they improve patient outcomes such as recovery time and infection risk; however, these procedures can be difficult for operators to learn. To improve surgical training efficacy, computer-assisted training, which must provide feedback in the form of instruction and skill evaluation, can be used. The training system must […]

Bend gestures on flexible devices allow users to provide subtle and continuous input to a computing device by bending a corner or a side of the device in question. The depth of bend can be used to control, for example, the speed at which the user scrolls through a document. This kind of input could […]

The objective of the project is to automatically learn missing information in knowledge bases (KBs), which are becoming essential tools to deal with big data, since they provide means to organize, manage and retrieve all this knowledge. These databases are huge directed multi-relational graphs, whose nodes correspond to entities connected by edges representing a certain […]