All Outputs (6)

Computer games for user engagement in attention deficit hyperactivity disorder (ADHD) monitoring and therapy (2015)
Conference Proceeding
Craven, M. P., & Groom, M. J. (2015). Computer games for user engagement in attention deficit hyperactivity disorder (ADHD) monitoring and therapy.

State-of-the-art computer games and psychological tests for symptom monitoring and therapy in Attention Deficit Hyperactivity Disorder (ADHD) are explored and reviewed. Three foci for research studies are identified: task (human performance) focus; e... Read More about Computer games for user engagement in attention deficit hyperactivity disorder (ADHD) monitoring and therapy.

Evaluating a public display installation with game and video to raise awareness of Attention Deficit Hyperactivity Disorder (2015)
Conference Proceeding
Craven, M. P., Simons, L., Gillott, A., North, S., Schnädelbach, H., & Young, Z. (2015). Evaluating a public display installation with game and video to raise awareness of Attention Deficit Hyperactivity Disorder. In M. Kurosu (Ed.), Human-computer interaction: interaction technologies : 17th International Conference, HCI International 2015, Los Angeles, CA, USA, August 2-7, 2015, Proceedings Part II (584–595). https://doi.org/10.1007/978-3-319-20916-6_54

Networked Urban Screens offer new possibilities for public health education and awareness. An information video about Attention Deficit Hyperactivity Disorder (ADHD) was combined with a custom browser-based video game and successfully deployed on an... Read More about Evaluating a public display installation with game and video to raise awareness of Attention Deficit Hyperactivity Disorder.

Snappy App: a mobile continuous performance test with physical activity measurement for assessing Attention Deficit Hyperactivity Disorder (2014)
Conference Proceeding
Young, Z., Craven, M. P., Groom, M. J., & Crowe, J. A. (2014). Snappy App: a mobile continuous performance test with physical activity measurement for assessing Attention Deficit Hyperactivity Disorder. In M. Kurosu (Ed.), Human-computer interaction: applications and services: 16th international conference, HCI International 2014, Heraklion, Crete, Greece, June 22-27, 2014, proceedings. Part III (363–373). https://doi.org/10.1007/978-3-319-07227-2_35

A Continuous Performance Test (CPT) was incorporated into a smartphone application (App) to measure three symptom domains associated with Attention Deficit Hyperactivity Disorder (ADHD); attention, impulsivity and hyperactivity. The App was pilot tes... Read More about Snappy App: a mobile continuous performance test with physical activity measurement for assessing Attention Deficit Hyperactivity Disorder.

User requirements for the development of smartphone self-reporting applications in healthcare (2013)
Conference Proceeding
Craven, M. P., Selvarajah, K., Miles, R., Schnädelbach, H., Massey, A., Vedhara, K., …Crowe, J. (2013). User requirements for the development of smartphone self-reporting applications in healthcare. In Human-Computer Interaction. Applications and Services. https://doi.org/10.1007/978-3-642-39262-7_5

Two case studies of the development of Smartphone self-reporting mHealth applications are described: a wellness diary for asthma management combined with Bluetooth pulse oximeter and manual peak flow measurements; and a questionnaire for ecological a... Read More about User requirements for the development of smartphone self-reporting applications in healthcare.

A hybrid neural network/rule-based technique for on-line gesture and hand-written character recognition
Conference Proceeding
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.

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
Conference Proceeding
Craven, M. P., Curtis, K. M., & Hayes-Gill, B. R. Multiple channel crosstalk removal using limited connectivity neural networks.

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.