LANGA – Big Data for Language Learning

LANGA is a project at Copernicus Studios (Halifax, NS) that is experimenting with the use of automated speech recognition in on-line video games to assist in language learning. Over the past 2 years, the company has been developing prototypes of the game and testing them in conjunction with the NeuroCognitive Imaging Lab at Dalhousie University. […]

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Computer vision for 3D environment recognitionin augmented reality mobile games

We propose to develop computer vision technologies for recognizing 3D environment for augmented reality (AR) mobile games. Given an image/video taken captured a mobile device (e.g. iPad), we would like to be able to recognize some useful information about the 3D environment of the game player. For example, one of our goals is to recognize […]

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Gearbolts / télécommande SteelGrip

Le projet vise à concevoir une nouvelle télécommande de jeu interactive utilisant des fonctions inédites parmi les consoles de jeu existantes. Le design sera développé selon une approche centrée sur les utilisateurs afin d’assurer leur confort et le plaisir de jouer. La methode prévoit l’analyse ergonomique des modèles de commandes offertes sur le marché, l’élaboration […]

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Visite virtuelle du modèle 3D interactif du monastère des Ursulines de Québec

Le projet consiste à créer un modèle 3D interactif du monastère des Ursulines de Québec pour une diffusion Web afin de mettre en valeur l’héritage des religieuses ainsi que son monastère (considéré comme un bien patrimonial national). Notre projet est avant-gardiste parce qu’il propose une libre navigation dans le modèle aux internautes. En effet, la […]

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A Group Recommender System for deviantART

deviantART is the world's largest online arts community with a huge number of users and items. They currently recommend art to users only via an algorithmic presentation of "popular" items, and an item-item recommender system presented alongside every individual piece of art. deviantART expects to use recommender systems technology to enhance and leverage the contributions […]

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Embedded stereo disparity computation

CogniVue is a leading innovator in embedded computer vision, providing both hardware and software solutions that enable its customers to develop high-performance, low-power embedded vision applications. From the success of recent 3D sensing technologies such as the Microsoft Kinect or the Intel Creative camera, the need for innovative low-cost depth sensors is rapidly growing. In […]

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User Profile generation for Mobile Ad Targeting

Personalized ad targeting is one of the most important features to ensure a successful advertising campaign—e.g., F-150 ford pickup trucks are best shown to construction workers than teenage girls. Another important aspect of ad personalization is frequency capping the ads. For example, showing the same ad 100 times to 1 user will result in not […]

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Big Data Processing and Analysis

Addictive Mobility is a leading online advertising company in Canada. The success of ad campaigns drives the majority of the company revenue. Exploring advanced machine-learning techniques to efficiently control an ad's performance is crucial to the company strategy. The objective of the proposed project is to optimize the real-time bidding system in the sense that […]

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Beyond the Book

The ultimate aim of this project is to design and develop methods and tools for classifying attributes of books such as genre, style, tone, and likelihood of being popular. Towards this end we will make use of various information types available on books and users of the Kobo catalog, including the text, meta-data associated with […]

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Federation of heterogeneous data sources for the linked data back-end in the Gold Fish mobile application

The overall goal is to create the backend of a mobile personal organizer that suggests professional events (conferences, colloquia, workshops, exhibitions) and contacts to establish while attending events, to members. Currently, the target audience are professionals in the biomedical domain. Given the need to feed data and meta-data from heterogeneous sources into the application, the […]

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IMMERSe: the interactive and multi-modal experience research syndicate

The purpose of this project is to provide insight into how game-based learning can be used to motivate positive workplace behaviour and learning over time. The intern will work with an established industry partner that has deployed a game-based learning platform for the workplace, and analyze user performance and motivation data that the industry partner […]

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Challenge for Change (C4C) Listening Projects

Building on Canada’s rich history as a participatory media producer, the project partners aim to use the democratic power and potential of media to help build a stronger, more inclusive Canada by creating opportunities for Canadians to talk and especially listen to each other: one-on-one, with friends, mothers, daughters, neighbours and strangers. In partnership with […]

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