Aiden Doherty

• Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study.

  Doherty A. et al, (2017), PLoS One, 12

• Exploring the opportunities for food and drink purchasing and consumption by teenagers during their journeys between home and school: a feasibility study using a novel method.

  Cowburn G. et al, (2016), Public Health Nutr, 19, 93 - 103

• Wearable cameras can reduce dietary under-reporting: doubly labelled water validation of a camera-assisted 24 h recall

  Gemming L. et al, (2015), British Journal of Nutrition, 113, 284 - 291

• Protocol for a pilot randomised controlled trial of an intervention to increase the use of traffic light food labelling in UK shoppers (the FLICC trial).

  Scarborough P. et al, (2015), Pilot Feasibility Stud, 1

• Developing a Method to Test the Validity of 24 Hour Time Use Diaries Using Wearable Cameras: A Feasibility Pilot.

  Kelly P. et al, (2015), PLoS One, 10

• LifeLogging: Personal big data

  Gurrin C. et al, (2014), Foundations and Trends in Information Retrieval, 8, 1 - 125

• High group level validity but high random error of a self-report travel diary, as assessed by wearable cameras

  Kelly P. et al, (2014), Journal of Transport and Health, 1, 190 - 201

• Feasibility of a SenseCam-assisted 24-h recall to reduce under-reporting of energy intake.

  Gemming L. et al, (2013), Eur J Clin Nutr, 67, 1095 - 1099

• Utility of passive photography to objectively audit built environment features of active transport journeys: an observational study.

  Oliver M. et al, (2013), Int J Health Geogr, 12

• Persuading consumers to reduce their consumption of electricity in the home

  Smeaton AF. and Doherty AR., (2013), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7822 LNCS, 204 - 215

• Wearable cameras in health: the state of the art and future possibilities.

  Doherty AR. et al, (2013), Am J Prev Med, 44, 320 - 323

• Using the SenseCam to improve classifications of sedentary behavior in free-living settings.

  Kerr J. et al, (2013), Am J Prev Med, 44, 290 - 296

• The smartphone as a platform for wearable cameras in health research.

  Gurrin C. et al, (2013), Am J Prev Med, 44, 308 - 313

• An ethical framework for automated, wearable cameras in health behavior research.

  Kelly P. et al, (2013), Am J Prev Med, 44, 314 - 319

• Using wearable cameras to categorise type and context of accelerometer-identified episodes of physical activity.

  Doherty AR. et al, (2013), Int J Behav Nutr Phys Act, 10

• Wearable cameras: Identifying healthy transportation choices

  Doherty A. et al, (2013), IEEE Pervasive Computing, 12, 44 - 47

• Identifying sedentary behaviour types using SenseCam: A pilot study

  Doherty A. et al, (2012), Journal of Science and Medicine in Sport, 15, S296 - S297

• Use of wearable cameras to assess population physical activity behaviours: an observational study

  Doherty AR. et al, (2012), The Lancet, 380, S35 - S35

• Evaluating the feasibility of measuring travel to school using a wearable camera.

  Kelly P. et al, (2012), Am J Prev Med, 43, 546 - 550

• Experiences of aiding autobiographical memory using the sensecam

  Doherty AR. et al, (2012), Human-Computer Interaction, 27, 151 - 174

• Automatically assisting human memory: a SenseCam browser.

  Doherty AR. et al, (2011), Memory, 19, 785 - 795

• Passively recognising human activities through lifelogging

  Doherty AR. et al, (2011), Computers in Human Behavior, 27, 1948 - 1958

• Can we use digital life-log images to investigate active and sedentary travel behaviour? Results from a pilot study.

  Kelly P. et al, (2011), Int J Behav Nutr Phys Act, 8

• Remote real-time monitoring of subsurface landfill gas migration.

  Fay C. et al, (2011), Sensors (Basel), 11, 6603 - 6628

• Everyday concept detection in visual lifelogs: Validation, relationships and trends

  Byrne D. et al, (2010), Multimedia Tools and Applications, 49, 119 - 144

• Designing a touch-screen SenseCam browser to support an aging population

  Caprani N. et al, (2010), Conference on Human Factors in Computing Systems - Proceedings, 4291 - 4296

• Video shot boundary detection: Seven years of TRECVid activity

  Smeaton AF. et al, (2010), Computer Vision and Image Understanding, 114, 411 - 418

• Correlating multimodal physical sensor information with biological analysis in ultra endurance cycling.

  May GC. et al, (2010), Sensors (Basel), 10, 7216 - 7235

• Automatically augmenting lifelog events using pervasively generated content from millions of people.

  Doherty AR. and Smeaton AF., (2010), Sensors (Basel), 10, 1423 - 1446

• Investigating keyframe selection methods in the novel domain of passively captured visual lifelogs

  Doherty AR. et al, (2008), CIVR 2008 - Proceedings of the International Conference on Content-based Image and Video Retrieval, 259 - 268

• Validating the detection of everyday concepts in visual lifelogs

  Byrne D. et al, (2008), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5392 LNCS, 15 - 30

• Combining image descriptors to effectively retrieve events from visual lifelogs

  Doherty AR. et al, (2008), Proceedings of the 1st International ACM Conference on Multimedia Information Retrieval, MIR2008, Co-located with the 2008 ACM International Conference on Multimedia, MM'08, 10 - 17

• Automatically segmenting lifelog data into events

  Doherty AR. and Smeaton AF., (2008), WIAMIS 2008 - Proceedings of the 9th International Workshop on Image Analysis for Multimedia Interactive Services, 20 - 23

• The SenseCam as a tool for task observation

  Byrne D. et al, (2008), Proceedings of the 22nd British HCI Group Annual Conference on People and Computers: Culture, Creativity, Interaction, BCS HCI 2008, 2, 19 - 22

• Wearable cameras can reduce dietary under-reporting: doubly labelled water validation of a camera-assisted 24 h recall

  Gemming L. et al, The British Journal of Nutrition: an international journal of nutritional science

• The use of a wearable camera to capture and categorise the environmental and socail context of self-identified eating episodes

  Gemming L. et al, Appetite

• Developing a method to test the validity of 24 hour time use diaries using wearable cameras: A Feasibility Pilot

  Kelly P. et al, PLoS One

Selected Publications

• Using wearable cameras to categorise type and context of accelerometer-identified episodes of physical activity.

  Doherty AR. et al, (2013), Int J Behav Nutr Phys Act, 10
• Wearable cameras in health: the state of the art and future possibilities.

  Doherty AR. et al, (2013), Am J Prev Med, 44, 320 - 323
• Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study.

  Doherty A. et al, (2017), PLoS One, 12

Recent Publications

• Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study.

  Doherty A. et al, (2017), PLoS One, 12
• Exploring the opportunities for food and drink purchasing and consumption by teenagers during their journeys between home and school: a feasibility study using a novel method.

  Cowburn G. et al, (2016), Public Health Nutr, 19, 93 - 103
• Wearable cameras can reduce dietary under-reporting: doubly labelled water validation of a camera-assisted 24 h recall

  Gemming L. et al, (2015), British Journal of Nutrition, 113, 284 - 291
• Protocol for a pilot randomised controlled trial of an intervention to increase the use of traffic light food labelling in UK shoppers (the FLICC trial).

  Scarborough P. et al, (2015), Pilot Feasibility Stud, 1
• Developing a Method to Test the Validity of 24 Hour Time Use Diaries Using Wearable Cameras: A Feasibility Pilot.

  Kelly P. et al, (2015), PLoS One, 10