Integration and Visualisation of Multimodal Biological Data

A Constraint-Based Graph Visualisation Architecture for Mobile Semantic Web Interfaces

Multimodal and dialogue-based mobile interfaces to the Semantic Web offer access to complex knowledge and information structures. We explore more fine-grained co-ordination of multimodal presentations in mobile environments by graph visualisations and navigation in ontological RDF result structures and multimedia archives. Semantic Navigation employs integrated ontology structures and leverages...

Evaluation of a Multimodal Sonification and Visualisation of Depth of Market Stock Data

Day traders make minute by minute decisions from depth of market stock data read from a table. A visualisation has been designed to help traders make better decisions from extra context and history in the display. An expert review of the visualisation identified the need for more dynamic information and higher resolution in critical areas. We designed a sonification to complement the visualisat...

23 Multimodal Analytical Visualisation of Spatio- Temporal Data

A multi-software integration platform and support for multimedia transcripts of language

Using and sharing multimedia corpora is a vital feature for research about language, but the number of different and often not easily compatible tools available makes this difficult to do. As the aims of the COLAJE project are to use multimodal linguistic data about language development in oral and sign languages, it was necessary to create a system (VICLO) that allowed sharing and using data c...

Spatial Data Correlation: An interactive 3D visualisation tool for correlating the motion cature data streams from different devices

We have developed an interactive, three-dimensional visualisation that plots individual motion capture data streams so they can be visually inspected concurrently to yield a unified, multimodal view of a complex problem. The primary objective in this study is to facilitate analysis of groups of putatively correlated time series with large numbers of data points. Our unique contribution is that ...