Aiden Doherty
Colleges
Websites
-
Wearables Group
Principal Investigator
-
Big Data Institute
Group Leader
-
Reuben College
Vice-President
-
BHF Centre of Research Excellence
Sub-theme Lead for AI in Pathology
- Sleep and Circadian Neuroscience Institute
Aiden Doherty
Professor of Biomedical Informatics
- Wellcome Senior Research Fellow
Wearable sensors, machine learning, genomics
Aiden is a Wellcome Trust Senior Research Fellow and a Professor of Biomedical Informatics at the University of Oxford. He has the privilige of leading a team of >20 researchers and believes that it is critical to support junior researchers to develop their own independent careers at the intersection of computing and medicine to tackle the most important scientific questions. To date, he has mentored 15 early career researchers to obtain £8.8M in fellowships from Wellcome, Cancer Research UK, British Heart Foundation, US National Institute of Health, and the UK National Institute of Health Research. To support training opportunities for the next generation of interdisciplinary scientists, Aiden is Vice-President at Reuben College, Oxford’s 39th and newest graduate interdisciplinary college.
He has been fortunate to play a key role in the UK and China Kadoorie Biobank activity monitoring projects, with accelerometer data collected in ≈150,000 participants. These resources are now used by thousands of researchers worldwide to interrogate a range of scientific questions. His team’s development of self-supervised learning has helped transform physical activity and sleep measurement with our 2024 paper in Nature’s Digital Medicine Journal already receiving >160 citations. Aiden chairs the UK Biobank’s international expert working group on remote monitoring technologies and sits on the scientific advisory boards of the EU-IMI IDEA-FAST wearable sensing project (46 industrial/academic partners across 15 countries) and the €7M EU iPROLEPSIS project on psoriatic arthritis inflammation. In addition, Aiden advises the World Health Organisation on strategies to use wearables in disease surveillance, with reports published in 2024 and 2025.
Awards
2022-27 Wellcome Senior Research Fellowship
2015 Marie Sklodowska-Curie Actions COFUND Award (only 3 selected from ~9000 EU fellows between ’07-’13)
2015-17 British Heart Foundation Centre for Research Excellence intermediate transition fellowship
2010-13 Marie Curie postdoctoral fellowship (E.U. FP7 and Irish Health Research Board)
2005-08 Irish Research Council science PhD scholarship
Recent publications
Sleep and circadian health in the UK Biobank: Report on the 2023 sleep questionnaire enhancement.
Journal article
Tse KYK. et al, (2026), Sleep
Reproducibility and associated regression dilution bias of accelerometer-derived physical activity and sleep in UK Biobank.
Journal article
Zisou C. et al, (2026), Int J Epidemiol, 55
Establishing global standards on wearable technology for measuring mobility in ageing populations: an international consensus exercise.
Journal article
Beauchamp MK. et al, (2026), Age Ageing, 55
Daily Steps as a Public Health Metric for Physical Activity Monitoring and Promotion.
Journal article
Paluch AE. et al, (2026), Exerc Sport Sci Rev, 54, 15 - 25
Generation of a Free-Living Ground-Truth Validation Dataset for Wearable Measures of Physical Activity, Sedentary Behavior, Sleep, and Heart Rate in Adults (OxWEARS): Protocol for a Cross-Sectional Study.
Journal article
Maylor BD. et al, (2025), JMIR Res Protoc, 14
Characterising Parkinson's Disease-like Walking Using Wrist-worn Accelerometers
Conference paper
Acquah A. et al, (2025), Ubicomp Companion 2025 Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 50 - 54
UK Biobank at 20 years old: a growing, global resource for dementia research
Journal article
ALLEN N. et al, (2025), Nature Reviews Neurology
The active cohort: a population-based smartphone intervention for health outcomes.
Journal article
Senderey AB. et al, (2025), J Public Health (Oxf), 47, 765 - 772
Daily steps are a predictor of, but perhaps not a risk factor for Parkinson's disease: findings from the UK Biobank.
Journal article
Acquah A. et al, (2025), NPJ Parkinsons Dis, 11
Heart Rate Profiles During Exercise and Incident Parkinson's Disease.
Journal article
van Duijvenboden S. et al, (2025), Ann Neurol, 98, 1004 - 1013
Reducing annotation burden in physical activity research using vision language models.
Journal article
Schönfeldt A. et al, (2025), Sci Rep, 15
ssociation of Daily Steps with Incident Nonalcoholic Fatty Liver Disease: Evidence from the UK Biobank Cohort.
Journal article
Fulda ES. et al, (2025), Med Sci Sports Exerc, 57, 1905 - 1913
Comparing two wrist-worn accelerometers (Axivity AX3 and Matrix 003) for measuring movement behaviours in British and Chinese older adults
Journal article
Brocklebank LAURA., (2025), Journal for the Measurement of Physical Behaviour
mount and intensity of daily total physical activity, step count and risk of incident cancer in the UK Biobank.
Journal article
Shreves AH. et al, (2025), Br J Sports Med, 59, 839 - 847
Predictive performance of wearable sensors for mortality risk in older adults: a model development and validation study.
Preprint
Harper C. et al, (2025)
Integrating the environmental and genetic architectures of aging and mortality.
Journal article
Argentieri MA. et al, (2025), Nat Med, 31, 1016 - 1025
Passive sensing at scale to transform understanding of poor mental health.
Journal article
Doherty A. et al, (2025), Lancet Digit Health, 7, e172 - e174
Digital health technologies to strengthen patient-centred outcome assessment in clinical trials in inflammatory arthritis.
Journal article
McGagh D. et al, (2025), Lancet Rheumatol, 7, e55 - e63
Performance evaluation of algorithms to estimate daily sedentary time using wrist-worn sensors in free-living adults.
Journal article
Matthews CE. et al, (2025), J Meas Phys Behav, 8
Sleep and circadian health in the UK Biobank: Report on the 2023 sleep questionnaire enhancement
Preprint
Tse K. et al, (2025)
Joint association of genetic risk and accelerometer-based step count with cardiovascular disease: a UK-Biobank cohort study
Preprint
Birmpili P. et al, (2025)
24-hour Physical Activity, Sedentary, and Sleep Profiles in Individuals with Cancer: A UK Biobank Cohort Study
Preprint
Le F. et al, (2025)
Reproducibility and associated regression dilution bias of accelerometer-derived physical activity and sleep in the UK Biobank
Preprint
Zisou C. et al, (2025)
ssociations of accelerometer-measured physical activity, sedentary behaviour, and sleep with next-day cognitive performance in older adults: a micro-longitudinal study.
Journal article
Bloomberg M. et al, (2024), Int J Behav Nutr Phys Act, 21
Corrigendum to "Modelling personal temperature exposure using household and outdoor temperature and questionnaire data: Implications for epidemiological studies" [Environ. Inter. 192 (2024) 109060].
Journal article
Xia X. et al, (2024), Environ Int, 194
Optimal Instruments for Measurement of Dietary Intake, Physical Activity, and Sleep Among Adults in Population-Based Studies: Report of a National Heart, Lung, and Blood Institute Workshop.
Journal article
Anaya G. et al, (2024), J Am Heart Assoc, 13
CAPTURE-24: A large dataset of wrist-worn activity tracker data collected in the wild for human activity recognition.
Journal article
Chan S. et al, (2024), Sci Data, 11
Modelling personal temperature exposure using household and outdoor temperature and questionnaire data: Implications for epidemiological studies.
Journal article
Xia X. et al, (2024), Environ Int, 192
Self-Supervised Machine Learning to Characterize Step Counts from Wrist-Worn Accelerometers in the UK Biobank.
Journal article
Small SR. et al, (2024), Med Sci Sports Exerc, 56, 1945 - 1953
systematic review of the performance of actigraphy in measuring sleep stages.
Journal article
Yuan H. et al, (2024), J Sleep Res, 33
Daily steps are a predictor of, but perhaps not a modifiable risk factor for Parkinson's Disease: findings from the UK Biobank.
Preprint
Acquah A. et al, (2024)
Response by Lambiase and van Duijvenboden to Letter Regarding Article, "Prognostic Significance of Different Ventricular Ectopic Burdens During Submaximal Exercise in Asymptomatic UK Biobank Subjects".
Journal article
Lambiase PD. and van Duijvenboden S., (2024), Circulation, 150
Correction: Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality.
Journal article
Yuan H. et al, (2024), NPJ Digit Med, 7
Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality.
Journal article
Yuan H. et al, (2024), NPJ Digit Med, 7
Device-Measured Physical Activity in 3506 Individuals with Knee or Hip Arthroplasty.
Journal article
Small SR. et al, (2024), Med Sci Sports Exerc, 56, 805 - 812
Correction: Device-measured movement behaviours in over 20,000 China Kadoorie Biobank participants.
Journal article
Chen Y. et al, (2024), Int J Behav Nutr Phys Act, 21
Self-supervised learning for human activity recognition using 700,000 person-days of wearable data.
Journal article
Yuan H. et al, (2024), NPJ Digit Med, 7
Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis.
Journal article
Creagh AP. et al, (2024), NPJ Digit Med, 7
[Progress and practice of objective measurement of physical behaviors in large-scale cohort research].
Journal article
Chen YY. et al, (2024), Zhonghua Liu Xing Bing Xue Za Zhi, 45, 35 - 40
Feasibility and usability of remote monitoring in Alzheimer's disease.
Journal article
Muurling M. et al, (2024), Digit Health, 10
ssociation of daily steps with incident non-alcoholic fatty liver disease: Evidence from the UK Biobank cohort
Preprint
Fulda E. et al, (2024)
DEVICE-MEASURED MOVEMENT BEHAVIORS IN A NATIONALLY REPRESENTATIVE COHORT OF OLDER ENGLISH ADULTS
Conference paper
Brocklebank L. et al, (2024), INNOVATION IN AGING, 8, 361 - 361
Characterising personal, household, and community PM2.5 exposure in one urban and two rural communities in China.
Journal article
Chan KH. et al, (2023), Sci Total Environ, 904
Prognostic Significance of Different Ventricular Ectopic Burdens During Submaximal Exercise in Asymptomatic UK Biobank Subjects.
Journal article
van Duijvenboden S. et al, (2023), Circulation, 148, 1932 - 1944
mount and intensity of physical activity and risk of incident cancer in the UK Biobank.
Preprint
Shreves AH. et al, (2023)
Device-measured movement behaviours in over 20,000 China Kadoorie Biobank participants.
Journal article
Chen Y. et al, (2023), Int J Behav Nutr Phys Act, 20
Dose-response of accelerometer-measured physical activity, step count, and cancer risk in the UK Biobank: a prospective cohort analysis.
Journal article
Shreves AH. et al, (2023), Lancet, 402 Suppl 1
Brief bouts of device-measured intermittent lifestyle physical activity and its association with major adverse cardiovascular events and mortality in people who do not exercise: a prospective cohort study.
Journal article
Ahmadi MN. et al, (2023), Lancet Public Health, 8, e800 - e810
Potential impact of wearables on physical activity guidelines and interventions: opportunities and challenges.
Journal article
Gill JM. et al, (2023), Br J Sports Med, 57, 1223 - 1225
Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality.
Preprint
Yuan H. et al, (2023)
Integrating at-scale health data into doctoral training (Preprint)
Preprint
Nichols TE. et al, (2023)
The impact of selected methodological factors on data collection outcomes in observational studies of device-measured physical behaviour in adults: A systematic review.
Journal article
Pulsford RM. et al, (2023), Int J Behav Nutr Phys Act, 20
Development and Validation of a Machine Learning Wrist-worn Step Detection Algorithm with Deployment in the UK Biobank.
Preprint
Small SR. et al, (2023)
Charting a Course for Smartphones and Wearables to Transform Population Health Research.
Journal article
Dixon WG. et al, (2023), J Med Internet Res, 25
ssociation of Accelerometer-Measured Physical Activity Level With Risks of Hospitalization for 25 Common Health Conditions in UK Adults.
Journal article
Watts EL. et al, (2023), JAMA Netw Open, 6
Level of accelerometer-measured physical activity and risks of hospitalization for 25 common health conditions in UK adults
Journal article
DOHERTY A. et al, (2023), JAMA Network Open
Integrating the environmental and genetic architectures of mortality and aging
Preprint
Argentieri A. et al, (2023)
Device-Measured Physical Activity in 3,511 Individuals with Knee or Hip Arthroplasty
Preprint
Small S. et al, (2023)
Characterising personal, household, and community PM2.5 exposure in one urban and two rural communities in China
Preprint
Chan KH. et al, (2023)
ssociation of wearable device-measured vigorous intermittent lifestyle physical activity with mortality.
Journal article
Stamatakis E. et al, (2022), Nat Med, 28, 2521 - 2529
Effect of moderate to high intensity aerobic exercise on blood pressure in young adults: The TEPHRA open, two-arm, parallel superiority randomized clinical trial.
Journal article
Williamson W. et al, (2022), EClinicalMedicine, 48
Correction: Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants.
Journal article
Willetts M. et al, (2022), Sci Rep, 12
Your best day: An interactive app to translate how time reallocations within a 24-hour day are associated with health measures.
Journal article
Dumuid D. et al, (2022), PLoS One, 17
n overview of synthetic administrative data for research.
Journal article
Kokosi T. et al, (2022), Int J Popul Data Sci, 7
Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis
Preprint
Creagh A. et al, (2022)
Physical activity in relation to circulating hormone concentrations in 117,100 men in UK Biobank.
Journal article
Watts EL. et al, (2021), Cancer Causes Control, 32, 1197 - 1212
Impact of reduced sampling rate on accelerometer-based physical activity monitoring and machine learning activity classification
Journal article
Small S. et al, (2021), Journal for the Measurement of Physical Behaviour, 4, 298 - 310
Reallocation of time between device-measured movement behaviours and risk of incident cardiovascular disease.
Journal article
Walmsley R. et al, (2021), Br J Sports Med, 56, 1008 - 1017
Correction: Accelerometer measured physical activity and the incidence of cardiovascular disease: Evidence from the UK Biobank cohort study.
Journal article
Ramakrishnan R. et al, (2021), PLoS Med, 18
cross-sectional study exploring levels of physical activity and motivators and barriers towards physical activity in haemodialysis patients to inform intervention development.
Journal article
Sutherland S. et al, (2021), Disabil Rehabil, 43, 1675 - 1681
ccelerometer-measured physical activity and functional behaviours among people on dialysis.
Journal article
Nawab KA. et al, (2021), Clin Kidney J, 14, 950 - 958
ccelerometer measured physical activity and the incidence of cardiovascular disease: Evidence from the UK Biobank cohort study.
Journal article
Ramakrishnan R. et al, (2021), PLoS Med, 18
ssociation of genetic liability for psychiatric disorders with accelerometer-assessed physical activity in the UK Biobank.
Journal article
Dennison CA. et al, (2021), PLoS One, 16
Validation of Wearable Camera Still Images to Assess Posture in Free-Living Conditions.
Journal article
Martinez J. et al, (2021), J Meas Phys Behav, 4, 47 - 52
Sedentary Behavior in Children by Wearable Cameras: Development of an Annotation Protocol.
Journal article
Hänggi JM. et al, (2020), Am J Prev Med, 59, 880 - 886
The effects of an aerobic training intervention on cognition, grey matter volumes and white matter microstructure.
Journal article
Sexton CE. et al, (2020), Physiol Behav, 223
Sedentary Behavior and Chronic Disease: Mechanisms and Future Directions.
Journal article
Dempsey PC. et al, (2020), J Phys Act Health, 17, 52 - 61
Self-reported and objectively measured physical activity in people with and without chronic heart failure: UK Biobank analysis.
Journal article
O'Donnell J. et al, (2020), Open Heart, 7
Impact of Reduced Sampling Rate on Accelerometer-based Physical Activity Monitoring and Machine Learning Activity Classification
Journal article
Small S. et al, (2020)
Testing Self-Report Time-Use Diaries against Objective Instruments in Real Time
Journal article
Gershuny J. et al, (2019), Sociological Methodology
Response to: One size does not fit all-application of accelerometer thresholds in chronic disease.
Journal article
Barker J. et al, (2019), Int J Epidemiol, 48
Physical activity of UK adults with chronic disease: cross sectional analysis of accelerometer measured physical activity in 96 706 UK Biobank participants.
Journal article
Barker J. et al, (2019), Int J Epidemiol, 48
Physical activity of UK adults with chronic disease: cross-sectional analysis of accelerometer-measured physical activity in 96 706 UK Biobank participants.
Journal article
Barker J. et al, (2019), Int J Epidemiol, 48, 1167 - 1174
validation study of the Eurostat harmonised European time use study (HETUS) diary using wearable technology.
Journal article
Harms T. et al, (2019), BMC Public Health, 19
Pilot Randomized Controlled Trial of a Digital Intervention Aimed at Improving Food Purchasing Behavior: The Front-of-Pack Food Labels Impact on Consumer Choice Study.
Journal article
Harrington RA. et al, (2019), JMIR Form Res, 3
dvancing the Use of Mobile Technologies in Clinical Trials: Recommendations from the Clinical Trials Transformation Initiative.
Journal article
Coran P. et al, (2019), Digit Biomark, 3, 145 - 154
GWAS identifies 14 loci for device-measured physical activity and sleep duration.
Journal article
Doherty A. et al, (2018), Nat Commun, 9
Genome-Wide Association Study of Circadian Rhythmicity in 71,500 UK Biobank Participants and Polygenic Association with Mood Instability.
Journal article
Ferguson A. et al, (2018), EBioMedicine, 35, 279 - 287
ssociation of Cardiovascular Risk Factors With MRI Indices of Cerebrovascular Structure and Function and White Matter Hyperintensities in Young Adults.
Journal article
Williamson W. et al, (2018), JAMA, 320, 665 - 673
Wearable camera-derived microenvironments in relation to personal exposure to PM2.5.
Journal article
Salmon M. et al, (2018), Environ Int, 117, 300 - 307
Circadian rhythms and mental health: wearable sensing at scale.
Journal article
Doherty A., (2018), Lancet Psychiatry, 5, 457 - 458
Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants.
Journal article
Willetts M. et al, (2018), Sci Rep, 8
Genome-wide association study of circadian rhythmicity in 71 500 UK Biobank participants and polygenic association with mood instability
Preprint
Ferguson A. et al, (2018)
Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study.
Journal article
Doherty A. et al, (2017), PLoS One, 12
Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants
Preprint
Willetts M. et al, (2017)
Evaluating Digital Health Interventions: Key Questions and Approaches.
Journal article
Murray E. et al, (2016), Am J Prev Med, 51, 843 - 851
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.
Journal article
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
Journal article
Gemming L. et al, (2015), The British Journal of Nutrition: an international journal of nutritional science
The use of a wearable camera to capture and categorise the environmental and social context of self-identified eating episodes.
Journal article
Gemming L. et al, (2015), Appetite, 92, 118 - 125
Is the Current Focus of the Global Physical Activity Recommendations for Youth Appropriate in All Settings?
Journal article
Richards J. et al, (2015), J Phys Act Health, 12, 901 - 903
Wearable cameras can reduce dietary under-reporting: doubly labelled water validation of a camera-assisted 24 h recall.
Journal article
Gemming L. et al, (2015), Br J Nutr, 113, 284 - 291
Developing a Method to Test the Validity of 24 Hour Time Use Diaries Using Wearable Cameras: A Feasibility Pilot.
Journal article
Kelly P. et al, (2015), PLoS One, 10
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).
Journal article
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
Journal article
Kelly P. et al, (2015), PLoS One
High group level validity but high random error of a self-report travel diary, as assessed by wearable cameras
Journal article
Kelly P. et al, (2014), Journal of Transport and Health, 1, 190 - 201
LifeLogging: Personal big data
Journal article
Gurrin C. et al, (2014), Foundations and Trends in Information Retrieval, 8, 1 - 125
Exploring the technical challenges of large-scale lifelogging
Conference paper
Gurrin C. et al, (2013), ACM International Conference Proceeding Series, 68 - 75
Measuring time spent outdoors using a wearable camera and GPS
Conference paper
Lam MS. et al, (2013), ACM International Conference Proceeding Series, 1 - 7
Using the sensecam as an objective tool for evaluating eating patterns
Conference paper
Chen J. et al, (2013), ACM International Conference Proceeding Series, 34 - 41
Influencing health-related behaviour with wearable cameras: Strategies & ethical considerations
Journal article
Doherty A. et al, (2013), ACM International Conference Proceeding Series, 60 - 67
Using sensecam images to assess the environment
Conference paper
Mavoa S. et al, (2013), ACM International Conference Proceeding Series, 84 - 85
Feasibility of a SenseCam-assisted 24-h recall to reduce under-reporting of energy intake.
Journal article
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.
Journal article
Oliver M. et al, (2013), Int J Health Geogr, 12
Persuading consumers to reduce their consumption of electricity in the home
Journal article
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
Using the SenseCam to improve classifications of sedentary behavior in free-living settings.
Journal article
Kerr J. et al, (2013), Am J Prev Med, 44, 290 - 296
n ethical framework for automated, wearable cameras in health behavior research.
Journal article
Kelly P. et al, (2013), Am J Prev Med, 44, 314 - 319
Wearable cameras in health: the state of the art and future possibilities.
Journal article
Doherty AR. et al, (2013), Am J Prev Med, 44, 320 - 323
The smartphone as a platform for wearable cameras in health research.
Journal article
Gurrin C. et al, (2013), Am J Prev Med, 44, 308 - 313
Using wearable cameras to categorise type and context of accelerometer-identified episodes of physical activity.
Journal article
Doherty AR. et al, (2013), Int J Behav Nutr Phys Act, 10
Wearable cameras: Identifying healthy transportation choices
Journal article
Doherty A. et al, (2013), IEEE Pervasive Computing, 12, 44 - 47
The uncertain representation ranking framework for concept-based video retrieval.
Journal article
Aly R. et al, (2013), Inf Retr Boston, 16, 557 - 583
Identifying sedentary behaviour types using SenseCam: A pilot study
Journal article
Doherty A. et al, (2012), Journal of Science and Medicine in Sport, 15, S296 - S297
Evaluating the feasibility of measuring travel to school using a wearable camera.
Journal article
Kelly P. et al, (2012), Am J Prev Med, 43, 546 - 550
Use of wearable cameras to assess population physical activity behaviours: an observational study
Journal article
Doherty AR. et al, (2012), The Lancet, 380, S35 - S35
Experiences of aiding autobiographical memory using the sensecam
Journal article
Doherty AR. et al, (2012), Human-Computer Interaction, 27, 151 - 174
matically assisting human memory: a SenseCam browser.
Journal article
Doherty AR. et al, (2011), Memory, 19, 785 - 795
Generating power footprints without appliance interaction: An enabler for privacy intrusion
Conference paper
Sintoni A. et al, (2011), 2011 International Conference on Distributed Computing in Sensor Systems and Workshops, DCOSS'11
Passively recognising human activities through lifelogging
Journal article
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.
Journal article
Kelly P. et al, (2011), Int J Behav Nutr Phys Act, 8
Remote real-time monitoring of subsurface landfill gas migration.
Journal article
Fay C. et al, (2011), Sensors (Basel), 11, 6603 - 6628
Everyday concept detection in visual lifelogs: Validation, relationships and trends
Journal article
Byrne D. et al, (2010), Multimedia Tools and Applications, 49, 119 - 144
Designing a touch-screen SenseCam browser to support an aging population
Journal article
Caprani N. et al, (2010), Conference on Human Factors in Computing Systems - Proceedings, 4291 - 4296
Video shot boundary detection: Seven years of TRECVid activity
Journal article
Smeaton AF. et al, (2010), Computer Vision and Image Understanding, 114, 411 - 418
matically augmenting lifelog events using pervasively generated content from millions of people.
Journal article
Doherty AR. and Smeaton AF., (2010), Sensors (Basel), 10, 1423 - 1446
Correlating multimodal physical sensor information with biological analysis in ultra endurance cycling.
Journal article
May GC. et al, (2010), Sensors (Basel), 10, 7216 - 7235
Beyond shot retrieval: Searching for broadcast news items using language models of concepts
Conference paper
Aly R. et al, (2010), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5993 LNCS, 241 - 252
Keyframe detection in visual lifelogs
Conference paper
Blighe M. et al, (2008), 1st International Conference on Pervasive Technologies Related to Assistive Environments, PETRA 2008
Investigating keyframe selection methods in the novel domain of passively captured visual lifelogs
Journal article
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
Journal article
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
Constructing a SenseCam visual diary as a media process
Journal article
Lee H. et al, (2008), Multimedia Systems, 14, 341 - 349
Combining image descriptors to effectively retrieve events from visual lifelogs
Journal article
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
matically segmenting lifelog data into events
Journal article
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
Conference paper
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
automated broadcast media monitoring using the google API
Conference paper
Curran K. and Doherty A., (2006), 2006 3rd IEEE Consumer Communications and Networking Conference, CCNC 2006, 2, 1098 - 1102
