Outputs (23)

From SnappyApp to Screens in the Wild: gamifying an Attention Hyperactivity Deficit Disorder continuous performance test for public engagement and awareness
Book Chapter
Craven, M. P., Young, Z., Simons, L., Schnädelbach, H., & Gillott, A. From SnappyApp to Screens in the Wild: gamifying an Attention Hyperactivity Deficit Disorder continuous performance test for public engagement and awareness. In 2014 International Conference on Interactive Technologies and Games, ITAG 2014: 16-17 October 2014, Nottingham, Nottinghamshire, United Kingdom. IEEE. https://doi.org/10.1109/iTAG.2014.12

Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental condition that is characterised by three core behaviours: inattention, hyperactivity and impulsivity. It is typically thought that around 3-5% of school aged children have ADHD,... Read More about From SnappyApp to Screens in the Wild: gamifying an Attention Hyperactivity Deficit Disorder continuous performance test for public engagement and awareness.

A hybrid neural network/rule-based technique for on-line gesture and hand-written character recognition
Presentation / Conference Contribution
Craven, M. P., Curtis, K. M., Hayes-Gill, B. H., & Thursfield, C. A hybrid neural network/rule-based technique for on-line gesture and hand-written character recognition. Presented at Proceedings of the Fourth IEEE International Conference on Electronics, Circuits and Systems

A technique is presented which combines rule-based and neural network pattern recognition methods in an integrated system in order to perform learning and recognition of hand-written characters and gestures in realtime.

The GesRec system is introd... Read More about A hybrid neural network/rule-based technique for on-line gesture and hand-written character recognition.

Multiple channel crosstalk removal using limited connectivity neural networks
Presentation / Conference Contribution
Craven, M. P., Curtis, K. M., & Hayes-Gill, B. R. Multiple channel crosstalk removal using limited connectivity neural networks. Presented at 3rd IEEE International Conference on Electronics, Circuits, and Systems (ICECS 96)

Limited connectivity neural network architectures are investigated for the removal of crosstalk in systems using mutually overlapping sub-channels for the communication of multiple signals, either analogue or digital. The crosstalk error is modelled... Read More about Multiple channel crosstalk removal using limited connectivity neural networks.