Graham is interested in the ways computerized systems can automatically pick up on things from people using sensors and then do something useful with that information. For instance, you might be browsing through a photo collection when suddenly a familiar face catches your attention. At that moment, your brain will generate signals that could be picked up with what is called a Brain-Computer Interface and used to label the photo to indicate that it caught your attention in a significant way, saving you from needing to directly communicate that this has occurred. The same types of techniques that are used to support applications like this can be applied on other data sources, for other purposes too. For example, we can use a webcam to detect changes in facial expressions in response to stimuli (images) to diagnose aspects of mental health, such as depression. Similarly, we could use data captured from the person’s social media to make predictions as to whether the individual is likely to engage in a certain behaviour.
Graham is interested in how human data like this can be collected. He is interested in the machine-learning and signal processing techniques that can be used to extract actionable information from this data, and his research also concerns the types of applications that can be ultimately built using such strategies.
Insight Researchers: Alan Smeaton, Eva Mohedano, Graham Healy, Kevin McGuinness, Noel O'ConnorNon-Insight Researchers: Xavier Giró-i-NietoOrganising Body: WiCV 2015: Women in Computer Vision workshop (CVPR), Event: WiCV 2015: Women in Computer Vision workshop (CVPR), Date: 11/06/2015Event Type: ConferencePresentation Type: Poster
Insight Researchers: Alan Smeaton, Eva Mohedano, Graham Healy, Kevin McGuinness, Noel O'ConnorNon-Insight Researchers: Xavier GiróOrganising Body: Insight Centre for Data Analytics, Event: Insight Student Conference (INSIGHT-SC 2014), Venue: University College DublinDate: 12/09/2014Event Type: ConferencePresentation Type: Poster