Yo is comprised by the Yo-band and the Yo-bot. The Yo-band continuously collects data about a person’s daily activity, recording when they are still and when they are moving. The wearer of the Yo-band can also tap the band when they experience a negative thought. The number of button taps and the activity levels are relayed via Bluetooth to the Yo-bot when in range. The data is then combined and reflected in the well-being of the Yo-botvia a graphic image of a sunrise. In effect the Yo-bot mirrors the well-being of the individual and, depending on their state, it will then suggest activities for them.
The team was composed of 7 team members : Themis Omirou (BIG), Annie Lywood (UWE), Antonis Vafeas (UOB), Egho Ireo (Bath), Michal Kozlowski (UOB) , Kimberly Higgins and Olivia Tiley (Red Maids’ School). The 5000 pound award was given by the Mayor of Bristol, George Ferguson, in a ceremony that took place in Watershed.
Using Eye tracking to detect the level of understanding when reading text.
Master Thesis 2009
Themis Omirou, Sriram Subramanian
Eye tracking is available in forms of specialised equipment, but it may well be integrated soon in webcams attached in laptop computers or monitors. The main goal of this project was to investigate whether we can detect the level of understanding of a person reading text in a computer screen. To do so, a Kohonen neural network was implemented in order to categorise data gathered from a large number of participants and then make decisions on an unknown set of new participants.
Link to project:
Floating Charts : Data plotting using free floating acoustically levitated representations
Themis Omirou, Asier Marzo Perez, Sriram Subramanian, Anne Roudaut
Link to project:
Link to competition:
Yo – a system to support and enable users to self-manage symptoms of mental illness and modify behaviours, during and beyond a course of Cognitive Behavioural Therapy
LeviPath: Modular acoustic levitation for 3D path visualizations
Themis Omirou, Asier Marzo, Sue Ann Seah, and Sriram Subramanian