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

SenseCam: A Retrospective Memory Aid

Hodges, S. E., Williams, L., Berry, E., Izadi, S., Srinivasan, J., Butler, A., Smyth, G., Kapur, N., & Wood, K. R. (2006) · Lecture notes in computer science · doi:10.1007/11853565_11 · Cited by 767

Wearable computing: a first step toward personal imaging

Mann, S. (1997) · Computer · doi:10.1109/2.566147 · Cited by 520

Lifelogging: Privacy and empowerment with memories for life

O’Hara, K., Tuffield, M. M., & Shadbolt, N. (2009) · Identity in the Information Society · doi:10.1007/s12394-009-0008-4 · Cited by 195

Visual Ethics: Ethical Issues in Visual Research

Wiles, R., Prosser, J., Bagnoli, A., Clark, A., Davies, K., Holland, S., & Renold, E. (2008) · University of Salford Institutional Repository (University of Salford) · Cited by 182

A Wearable Electronic System for Objective Dietary Assessment

Sun, M., Fernstrom, J. D., Jia, W., Hackworth, S. A., Yao, N., Li, Y., Li, C., Fernstrom, M. H., & Sclabassi, R. J. (2009) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2009.10.013 · Cited by 159

Ethical Challenges with Welfare Technology: A Review of the Literature

Hofmann, B. (2012) · Science and Engineering Ethics · doi:10.1007/s11948-011-9348-1 · Cited by 153

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

Kelly, P., Doherty, A., Berry, E., Hodges, S. E., Batterham, A. M., & Foster, C. E. (2011) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-8-44 · Cited by 130

Unpopular PrivacyWhat Must We Hide?

Allen, A. (2011) · doi:10.1093/acprof:oso/9780195141375.001.0001 · Cited by 105

Feasibility testing of an automated image-capture method to aid dietary recall

Arab, L., Estrin, D. L., Kim, D. H., Burke, J. L., & Goldman, J. (2011) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2011.75 · Cited by 88

Unpopular privacy: what must we hide?

(2012) · Choice Reviews Online · doi:10.5860/choice.49-5342 · Cited by 64

E-Health in der neuropsychologischen Therapie

Thöne-Otto, A. I. T. (2016) · Nervenheilkunde · doi:10.1055/s-0037-1616355 · Cited by 1

Wearable Cameras

Drivet, A. (2016) · Advances in educational technologies and instructional design book series · doi:10.4018/978-1-5225-0069-8.ch006 · Cited by 1

Behaviors Contributing to Native American Business Success

Bolin, S. (2015) · ScholarWorks (Walden University) · Cited by 1

A scoping review of artificial intelligence-enabled wearables for medication adherence

Chen, Y., Zhao, H., Xu, R., Li, Y., Cai, S., & Hu, Y. (2026) · npj Digital Medicine · doi:10.1038/s41746-026-03246-5

Protocol for a Systematic Literature Review on Security-related Research in Ubiquitous Computing

Kušen, E., & Strembeck, M. (2014) · ePubWU Institutional Repository (Vienna University of Economics and Business) · doi:10.57938/8dfc76de-b70b-4e19-9c4b-080b8cbd32e4

A Qualitative Study on Best Practices in Technology Affordances, ICT and Good Governance in Managing Higher Education Institutions in Zimbabwe

Kabanda, G. (2015) · Global Journal of Educational Studies · doi:10.5296/gjes.v1i2.8632

An Assessment and Analysis of Dietary Practices of Irish Jockeys

O’Loughlin, G. (2014) · Arrow@dit (Dublin Institute of Technology)

Understanding the User Perception in Visual Lifelogging: A Pilot Study in Malaysian Context

Salim, M. H. M., Ali, N. M., & Lee, H. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-25939-0_43

Event Cognition-based Daily Activity Prediction Using Wearable Sensors

Lee, C.-Y., Kwak, D. H., Lee, B.-J., & Zhang, B. (2016) · Journal of KIISE · doi:10.5626/jok.2016.43.7.781

New Kinds of Survey Measurements

Lessof, C., & Sturgis, P. (2017) · Springer eBooks · doi:10.1007/978-3-319-54395-6_22

Gesture Based Help Identification for Hospital & ElderlyCare Using Dynamic Time Warping

Mohamed, A. S. A., Soter, E. B., Singh, A., & Ruhaiyem, N. I. R. (2017) · International Conference on Video and Image Processing (ICVIP) · doi:10.1145/3177404.3177426

A Novel Mixed Methods Approach to Assess Children’s Sedentary Behaviors

Hurter, L., Cooper-Ryan, A. M., Knowles, Z. R., Porcellato, L. A., Fairclough, S. J., & Boddy, L. M. (2020) · Journal for the Measurement of Physical Behaviour · doi:10.1123/jmpb.2019-0040

Physical Activity Recognition and Identification System

Twaites, J. (2020) · Figshare

Psikolojik Sağlık Hizmetlerinde Dijital Fenotipleme Kullanımı: Fırsatlar, Etik ve Yasal Sorunlar

GÜLTEKİN, M. (2021) · Nesne Psikoloji Dergisi · doi:10.7816/nesne-09-22-13

Wearable Cameras

Drivet, A. (2018) · IGI Global eBooks · doi:10.4018/978-1-5225-5484-4.ch022

The effect of mild sleep deprivation on diet and eating behaviour in children: Protocol for the Daily Rest, Eating, and Activity Monitoring (DREAM) randomized cross-over trial

Ward, A., Galland, B. C., Haszard, J., Meredith-Jones, K. A., Morrison, S., McIntosh, D., Jackson, R., Beebe, D., Fangupo, L., Richards, R., et al. (2020) · doi:10.26686/wgtn.12830828

The effect of mild sleep deprivation on diet and eating behaviour in children: Protocol for the Daily Rest, Eating, and Activity Monitoring (DREAM) randomized cross-over trial

Ward, A., Galland, B. C., Haszard, J., Meredith-Jones, K. A., Morrison, S., McIntosh, D., Jackson, R., Beebe, D., Fangupo, L., Richards, R., et al. (2020) · doi:10.26686/wgtn.12830828.v1

Exploring Boundaries to the Benefits of Lifelogging for Identity Maintenance for People with Dementia

Piasek, P., Irving, K., & Smeaton, A. F. (2016) · IGI Global eBooks · doi:10.4018/978-1-5225-0159-6.ch009

Exploring the potential of a wearable camera to examine the early obesogenic home environmentPreprint

Schrempft, S., van Jaarsveld, C. H. M., & Fisher, A. (2017) · doi:10.2196/preprints.7748

Unsupervised Human Activity Recognition Approach in Multi-User HouseholdsPreprint

Gómez-Ramos, R., Domingo, J. D., Zalama, E., & Gómez‐García‐Bermejo, J. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4586324

The Effect of Prebedtime Behaviors on Sleep Duration and Quality in Children: Protocol for a Randomized Crossover Trial

Jackson, R., Gu, C., Haszard, J. J., Meredith-Jones, K. A., Galland, B. C., Camp, J., Brown, D. A., & Taylor, R. W. (2024) · JMIR Research Protocols · doi:10.2196/63692

Exploring Context Allows Us to Better Understand Physical Activity in People with and Without Parkinson’s Who Have Fallen: A Mixed Methods Study

Baker, K., Das, J., Rochester, L., Din, S. D., & Naisby, J. (2025) · Geriatrics · doi:10.3390/geriatrics10010008

DEVELOPING A PROTOCOL USING WEARABLE CAMERAS FOR MEMORY TRAINING WITH OLDER ADULTS: A METHODOLOGICAL REPORTPreprint

Felinto, T. M., Worth, T., Welch, E., & Cabeza, R. E. L. (2025) · medRxiv · doi:10.1101/2025.11.17.25339784

Additional file 1 of Assessing the association between overcrowding and human physiological stress response in different urban contexts: a case study in Salzburg, Austria

Zhang, Z., Měchurová, K., Resch, B., Amegbor, P. M., & Sabel, C. E. (2023) · Figshare · doi:10.6084/m9.figshare.23557985

Additional file 9 of Automated wearable cameras for improving recall of diet and time use in Uganda: a cross-sectional feasibility study

Bulungu, A. L. S., Palla, L., Nambooze, J., Priebe, J., Forsythe, L., Katic, P., Varley, G., Galinda, B. D., Sarah, N., Wellard, K., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26560889

Additional file 8 of Automated wearable cameras for improving recall of diet and time use in Uganda: a cross-sectional feasibility study

Bulungu, A. L. S., Palla, L., Nambooze, J., Priebe, J., Forsythe, L., Katic, P., Varley, G., Galinda, B. D., Sarah, N., Wellard, K., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26560886

Additional file 4 of Automated wearable cameras for improving recall of diet and time use in Uganda: a cross-sectional feasibility study

Bulungu, A. L. S., Palla, L., Nambooze, J., Priebe, J., Forsythe, L., Katic, P., Varley, G., Galinda, B. D., Sarah, N., Wellard, K., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26560874

Additional file 2 of Assessing the association between overcrowding and human physiological stress response in different urban contexts: a case study in Salzburg, Austria

Zhang, Z., Měchurová, K., Resch, B., Amegbor, P. M., & Sabel, C. E. (2023) · Figshare · doi:10.6084/m9.figshare.23557988

Additional file 7 of Automated wearable cameras for improving recall of diet and time use in Uganda: a cross-sectional feasibility study

Bulungu, A. L. S., Palla, L., Nambooze, J., Priebe, J., Forsythe, L., Katic, P., Varley, G., Galinda, B. D., Sarah, N., Wellard, K., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26560883

Additional file 3 of Automated wearable cameras for improving recall of diet and time use in Uganda: a cross-sectional feasibility study

Bulungu, A. L. S., Palla, L., Nambooze, J., Priebe, J., Forsythe, L., Katic, P., Varley, G., Galinda, B. D., Sarah, N., Wellard, K., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26560871

Additional file 6 of Automated wearable cameras for improving recall of diet and time use in Uganda: a cross-sectional feasibility study

Bulungu, A. L. S., Palla, L., Nambooze, J., Priebe, J., Forsythe, L., Katic, P., Varley, G., Galinda, B. D., Sarah, N., Wellard, K., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26560880

Additional file 5 of Automated wearable cameras for improving recall of diet and time use in Uganda: a cross-sectional feasibility study

Bulungu, A. L. S., Palla, L., Nambooze, J., Priebe, J., Forsythe, L., Katic, P., Varley, G., Galinda, B. D., Sarah, N., Wellard, K., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26560877

Additional file 1 of Automated wearable cameras for improving recall of diet and time use in Uganda: a cross-sectional feasibility study

Bulungu, A. L. S., Palla, L., Nambooze, J., Priebe, J., Forsythe, L., Katic, P., Varley, G., Galinda, B. D., Sarah, N., Wellard, K., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26560865

Additional file 2 of Automated wearable cameras for improving recall of diet and time use in Uganda: a cross-sectional feasibility study

Bulungu, A. L. S., Palla, L., Nambooze, J., Priebe, J., Forsythe, L., Katic, P., Varley, G., Galinda, B. D., Sarah, N., Wellard, K., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26560868

The influence of different processing rules on wearable camera data estimates of habitual screen time in children

Jackson, R., Meredith-Jones, K. A., Haszard, J. J., Galland, B. C., Morrison, S., Jaques, M., & Taylor, R. W. (2026) · Journal of Activity Sedentary and Sleep Behaviors · doi:10.1186/s44167-026-00095-1

Autobiographical Memory Training for Older Adults using Wearable Cameras: An Integrative Review

Felinto, T. M., & Gauer, G. (2025) · Psicologia Ciência e Profissão · doi:10.1590/1982-3703003277071

Multi-Sensor Based Activity Recognition˸ Development and Validation in Real-Life context

Rahman, H. A. (2017) · theses.fr (ABES) · doi:10.70675/8c855d1fz7000z4815zab29z33f2730fb1ee

Validation of Wearable Camera Still-Image Estimates of Physical Activity and Sedentary Behavior Against Direct Observation

Martinez, J., Cho, C. C., Kate, R. J., Swartz, A. M., Doherty, A., & Strath, S. J. (2026) · Journal for the Measurement of Physical Behaviour · doi:10.1123/jmpb.2025-0046

Movement Intensities Across Screen and Nonscreen-Based Contexts in Children: A Proof-of-Concept Study Using Wearable Cameras and Accelerometers

Hänggi, J. M., Taube, W., Christodoulides, E., Spinnler, S., Gramespacher, E., Probst-Hensch, N. M., & Doherty, A. (2026) · Journal for the Measurement of Physical Behaviour · doi:10.1123/jmpb.2025-0053

Children’s attention to supermarket food displays: A real-world eye-tracking study

Driessen, C., Bhatti, A., Cameron, A. J., Martino, F. P., Pathirana, N. N. L., & Backholer, K. (2026) · Australian and New Zealand Journal of Public Health · doi:10.1016/j.anzjph.2026.100331

Evaluation of the Square Eyes Model as a Screening Tool for Identifying Digital Technologies in Wearable Camera Images Among Children: Laboratory Study

Rasmussen, C. L., Sanders, T., Howie, E. K., Beynon, A. M., Hendry, D., Zabatiero, J. G., Campbell, A., & Straker, L. M. (2026) · Journal of Medical Internet Research · doi:10.2196/100559

Comparison of Capturing Children’s Technology Use Using Wearable Camera and Fixed Room Video: Experimental Laboratory Study

Beynon, A. M., Rasmussen, C. L., Hendry, D., Thomas, G., Davey, P. C., Zabatiero, J. G., Rohl, A. L., Campbell, A., & Straker, L. M. (2026) · JMIR Pediatrics and Parenting · doi:10.2196/91113

Protocol for the Generation of a Free-Living Ground-Truth Validation Dataset for Wearable Measures of Step Count in Adults (STEPCAM) (Preprint)Preprint

O’Callaghan, V. S., Brocklebank, L. A., Maylor, B. D., Plekhanova, T., & Doherty, A. (2026) · doi:10.2196/preprints.112903

An Artificial Intelligence Supervision Program to Improve Video-Observed Therapy for Managing Tuberculosis Treatment: Development and Validation Study

Guo, X., Bai, J., Wan, X., Takiff, H. E., Yang, Y., Wang, C., Huang, S., Ma, C., & Liu, S. (2026) · Tropical Medicine and Infectious Disease · doi:10.3390/tropicalmed11100272

Protocol for a systematic literature review of security-related research in ubiquitous computing (updated version)

Kušen, E., & Strembeck, M. (2015) · ePubWU Institutional Repository (Vienna University of Economics and Business)

Using wearable cameras to investigate health-related daily life experiences: A literature review of precautions and risks in empirical studies

Meyer, L. E., Porter, L. M., Reilly, M. E., Johnson, C. C., Safir, S., Greenfield, S. F., Silverman, B. C., Hudson, J. I., & Javaras, K. N. (2021) · Research Ethics · doi:10.1177/17470161211054021 · Cited by 8

The ethics of wearable cameras in the wild

Shipp, V. E., Skatova, A., Blum, J., & Brown, M. A. (2014) · IEEE International Symposium on Ethics in Engineering, Science, and Technology (ETHICS) · doi:10.1109/ethics.2014.6893382 · Cited by 15

Influencing health-related behaviour with wearable cameras: Strategies & ethical considerations

Doherty, A., Williamson, W., Hillsdon, M. M., Hodges, S., Foster, C. C., & Kelly, P. (2013) · ACM International Conference Proceeding Series · Cited by 7

The Ethical Challenges of Experience Sampling Using Wearable Cameras

Kwok, S. Y., Skatova, A., Shipp, V. E., & Crabtree, A. (2015) · International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct (MobileHCI Adjunct) · doi:10.1145/2786567.2794325 · Cited by 7

Too Much Information: Visual Research Ethics in the Age of Wearable Cameras

Mok, T. M., Cornish, F., & Tarr, J. (2014) · Integrative Psychological and Behavioral Science · doi:10.1007/s12124-014-9289-8 · Cited by 52