Dr. Cathal Gurrin

Capturing a Lifelog of images

Cathal, to our knowledge, has collected the most extensive collection of lifelog images in the world. He has been wearing his SenseCam for over two and a half years, recording 15 hours per day, and he has now collected approximately 3 million SenseCam images. To compliment this he has also constantly recorded GPS location data simultaneously with SenseCam data.

Dr. Hyowon Lee

Hyowon is designing an appropriate user-interface that allows interactive browsing of thousands of SenseCam images. The SenseCam Interactive Browser is a web-based, integrated interface that features visualisation of activity patterns, user control on how many events/day are chosen (using slider bar), and searching for similar events.

SenseCam Image Localisation

A person's location is an important piece of contextual information and is very useful in structuring Sensecam data. Sensecam images from a lifelog can be efficiently matched to a database of known locations using a hierarchical tree of SURF features...More

SenseCam Flow Visualisation

This alternative visualisation is designed to be a rich and engaging means to browse a SenseCam photoset. The visualisation presents only a single representative image for each the most interesting events in a user’s photoset, allowing them to quickly review their activities...More

Multimodal Segmentation of Lifelog Data

Aiden conducted research visit to Columbia University where he visited Prof. Dan Ellis during which audio data recorded by iRiver MP3 while wearing a SenseCam device was processed...More

iCLIPS

Yi's research focuses on exploiting peoples’ memory to assist information re-finding in personal lifelogs. Her current research includes: defining "context" for items in lifelogs regarding their role in human memory; exploring episodic memory on computer activities; and developing suggestive interfaces with contextual memory cues for result refining. Further information is available at iCLIPS .

Liadh Kelly

Biometric Response in Image Extraction

Liadh is investigating techniques to extract interesting images from SenseCam collections using people's biometric response. She has shown preliminary relationship between people's arousal levels at the time of SenseCam image capture and the future memorable-ness and significance of SenseCam events. Further information is available at iCLIPS .

Niamh Caprani

Older People using SenseCam

Niamh is exploring the potential benefits of SenseCam for the older population. Her work involves the evaluation of current image browsers by older participants and finding solutions to accomodate the design for older users. This work will lead to the placement of SenseCam with an older adult, where their use of SenseCam and the image browser will be studied.

Past Members

Dr. Michael Blighe - SenseCam work at Joanneum Research, Australia...More

Dr. Georgina Gaughan - The detection of features within SenseCam images...More

Barry Lavelle - SenseCam & Bluetooth...More