Visualisting wearable sensor data for convolutional neural networks

This project aims to design and develop different visualisation mappings to transform sensor data into images so that they can be processed by convolutional neural networks (CNN). The visualisation mapping will focus on how to visualise time-series data to be processed and classified by a CNN. The purpose is to find the best mapping to […]

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Supporting the Visual Analysis of Physical Performance Data

The regular analysis of physical performance data is key to every physical training and exercise plan. However, we are still lacking tools that allow for a customized analysis of such data by athletes and trainers, on an individual basis, and across one or many teams. The University of St Andrews Strength and Conditioning Team (S&C) […]

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Visualising Sorting

Sort algorithms can greatly vary in complexity, and their mechanisms and complexity are often difficult to understand for lay-people (including students who are just starting to learn the fundamentals of computer science). This project will explore visualisation as a means to make the principles of different sort algorithms more transparent and, in this way, also […]

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Our Past, our Future: Visualising Alumni Records of the University of St Andrews

As the third oldest university in the English speaking world, the University of St Andrews has a long history of attracting students from all over the world to receive their education. MUSA – the Museum of the University of St Andrews – is currently looking for ways to help museum visitors to discover and explore […]

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Designing Graph Visualizations to Support the Navigation of Learning Material

As part of an ongoing research project, we have developed ViLO, an interactive online visual learning resource aimed to help students to learn about programming concepts. ViLO visually presents programming concepts and connections between them in order to support open-ended explorations and navigation of learning material. However, our current visualization has many flaws. For example, […]

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