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

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A Wearable Electronic System for Objective Dietary Assessment

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Ethical Challenges with Welfare Technology: A Review of the Literature

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

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Unpopular PrivacyWhat Must We Hide?

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

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Recognizing physical activity from ego-motion of a camera

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Editor's introduction: ethics in visual research

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LifeLogging: Personal Big Data

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Free‐living monitoring of Parkinson's disease: Lessons from the field

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Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants

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Image-Assisted Dietary Assessment: A Systematic Review of the Evidence

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Screen Time and Health Indicators Among Children and Youth: Current Evidence, Limitations and Future Directions

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Wearable Cameras in Health

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Scalable crowd-sourcing of video from mobile devices

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A Descriptive Epidemiology of Screen-Based Devices by Children and Adolescents: a Scoping Review of 130 Surveillance Studies Since 2000

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Testing Self-Report Time-Use Diaries against Objective Instruments in Real Time

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Short-term prediction of suicidal thoughts and behaviors in adolescents: Can recent developments in technology and computational science provide a breakthrough?

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Rethinking the Belmont Report?

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Validation of the ActiGraph GT3X and activPAL Accelerometers for the Assessment of Sedentary Behavior

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Ethical and regulatory challenges of research using pervasive sensing and other emerging technologies: IRB perspectives

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

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Automatic food detection in egocentric images using artificial intelligence technology

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“Automatic Ingestion Monitor Version 2” – A Novel Wearable Device for Automatic Food Intake Detection and Passive Capture of Food Images

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Acceptability and design of video-based research on healthcare communication: Evidence and recommendations

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Passive data collection and use in healthcare: A systematic review of ethical issues

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Predicting daily activities from egocentric images using deep learning

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

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Key indicators of ethical challenges in digital healthcare: A combined Delphi exploration and confirmative factor analysis approach with evidence from Khorasan province in Iran

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Engaging research participants to inform the ethical conduct of mobile imaging, pervasive sensing, and location tracking research

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Smart-Glasses: Exposing and Elucidating the Ethical Issues

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Kids’Cam: An Objective Methodology to Study the World in Which Children Live

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Objective Assessment of Physical Activity

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Combining ecological momentary assessment with objective, ambulatory measures of behavior and physiology in substance-use research

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The Smartphone As a Platform for Wearable Cameras in Health Research

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Technologies That Assess the Location of Physical Activity and Sedentary Behavior: A Systematic Review

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Positioning Methods and the Use of Location and Activity Data in Forests

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

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Longform recordings of everyday life: Ethics for best practices

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Towards a closer dialogue between policy and practice

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Assessment of medication self-administration using artificial intelligence

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Neurocognitive mechanisms of real‐world autobiographical memory retrieval: insights from studies using wearable camera technology

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Objective and subjective measurement of sedentary behavior in human adults: A toolkit

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Screen Use at Bedtime and Sleep Duration and Quality Among Youths

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Remote monitoring technologies in Alzheimer’s disease: design of the RADAR-AD study

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A critical review of the effects of wearable cameras on memory

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Feasibility of identifying eating moments from first-person images leveraging human computation

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

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Extending the Passive-Sensing Toolbox: Using Smart-Home Technology in Psychological Science

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CAPTURE-24: A large dataset of wrist-worn activity tracker data collected in the wild for human activity recognition

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Mitigating Bystander Privacy Concerns in Egocentric Activity Recognition with Deep Learning and Intentional Image Degradation

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Acceptance of Mobile Health in Communities Underrepresented in Biomedical Research: Barriers and Ethical Considerations for Scientists

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SR-clustering: Semantic regularized clustering for egocentric photo streams segmentation

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Derivation of Time-Activity Data Using Wearable Cameras and Measures of Personal Inhalation Exposure among Workers at an Informal Electronic-Waste Recovery Site in Ghana

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Lifelogging in the Wild: Participant Experiences of Using Lifelogging as a Research Tool

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

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Ethical Considerations for Research Involving (Speculative) Public Data

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

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Challenges and Opportunities of Lifelog Technologies: A Literature Review and Critical Analysis

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Technological approaches for addressing privacy concerns when recognizing eating behaviors with wearable cameras

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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., Matthews, A., Doherty, A., Hamilton, A., Kelly, P., Williams, J., Foster, C. E., & Nelson, M. (2015) · Public Health Nutrition · doi:10.1017/s1368980015000889 · Cited by 48 · see citing works

Experiential Learning and Simulation-Based Training in Norwegian Police Education: Examining Body-Worn Video as a Tool to Encourage Reflection

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I Can't Be Myself

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Practical Suggestions for Legal and Ethical Concerns With Social Environment Sampling Methods

Robbins, M. L. (2017) · Social Psychological and Personality Science · doi:10.1177/1948550617699253 · Cited by 46 · see citing works

A validation study of the Eurostat harmonised European time use study (HETUS) diary using wearable technology

Harms, T. A., Gershuny, J., Doherty, A., Thomas, E. E., Milton, K. E., & Foster, C. E. (2019) · BMC Public Health · doi:10.1186/s12889-019-6761-x · Cited by 45 · see citing works

Wearable Cameras Are Useful Tools to Investigate and Remediate Autobiographical Memory Impairment: A Systematic PRISMA Review

Allé, M. C., Manning, L., Potheegadoo, J., Coutelle, R., Danion, J., & Berna, F. S. (2017) · Neuropsychology Review · doi:10.1007/s11065-016-9337-x · Cited by 43 · see citing works

Integrated assessment of exposure to PM2.5 in South India and its relation with cardiovascular risk: Design of the CHAI observational cohort study

Tonne, C. C., Salmon, M., Sanchez, M., Sreekanth, V., Bhogadi, S., Sambandam, S., Balakrishnan, K., Kinra, S., & Marshall, J. D. (2017) · International Journal of Hygiene and Environmental Health · doi:10.1016/j.ijheh.2017.05.005 · Cited by 43 · see citing works

Validation of a previous day recall for measuring the location and purpose of active and sedentary behaviors compared to direct observation

Keadle, S. K., Lyden, K. A., Hickey, A., Ray, E. L., Fowke, J. H., Freedson, P. S., & Matthews, C. E. (2014) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-11-12 · Cited by 41 · see citing works

Usefulness of Wearable Cameras as a Tool to Enhance Chronic Disease Self-Management: Scoping Review

Maddison, R., Cartledge, S. H., Rogerson, M., Goedhart, N. S., Singh, T. R., Neil, C., Phung, D., & Ball, K. (2018) · JMIR mhealth and uhealth · doi:10.2196/10371 · Cited by 41 · see citing works

Can Wearable Cameras Be Used to Validate School-Aged Children’s Lifestyle Behaviours?

Everson, B., Mackintosh, K. A., McNarry, M. A., Todd, C., & Stratton, G. (2019) · Children · doi:10.3390/children6020020 · Cited by 43 · see citing works

Perspective: Opportunities and Challenges of Technology Tools in Dietary and Activity Assessment: Bridging Stakeholder Viewpoints

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Using MapMyFitness to Place Physical Activity into Neighborhood Context

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Capturing exposures: using automated cameras to document environmental determinants of obesity

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Reciprocal Relationships between Trajectories of Loneliness and Screen Media Use during Adolescence

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The use of wearable cameras in assessing children's dietary intake and behaviours in China

Zhou, Q., Wang, D., Mhurchú, C. N., Gurrin, C. G., Zhou, J., Cheng, Y., & Wang, H. (2019) · Appetite · doi:10.1016/j.appet.2019.03.032 · Cited by 35 · see citing works

Feasibility of automated cameras to measure screen use in adolescents.

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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) · International Journal of Health Geographics · doi:10.1186/s12942-023-00334-7 · Cited by 34 · see citing works

Exploring the Potential of a Wearable Camera to Examine the Early Obesogenic Home Environment: Comparison of SenseCam Images to the Home Environment Interview

Schrempft, S., van Jaarsveld, C. H. M., & Fisher, A. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7748 · Cited by 33 · see citing works

Using Wearable Cameras to Assess Foods and Beverages Omitted in 24 Hour Dietary Recalls and a Text Entry Food Record App

Chan, V., Davies, A. J., Wellard‐Cole, L., Lu, S., Ng, H., Tsoi, L., Tiscia, A., Signal, L. N., Rangan, A., Gemming, L., et al. (2021) · Nutrients · doi:10.3390/nu13061806 · Cited by 33 · see citing works

Experiences of using a wearable camera to record activity, participation and health-related behaviours: Qualitative reflections of using the Sensecam

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Acceptability of novel lifelogging technology to determine context of sedentary behaviour in older adults

Harvey, J., Skelton, D. A., & CHASTIN, S. F. M. (2016) · AIMS Public Health · doi:10.3934/publichealth.2016.1.158 · Cited by 30 · see citing works

Challenges in Collecting Big Data in A Clinical Environment with Vulnerable Population: Lessons Learned from A Study Using A Multi-modal Sensors Platform

Ye, B., Khan, S. S., Chikhaoui, B., Iaboni, A., Martin, L. S., Newman, K., Wang, A. H., & Mihailidis, A. (2018) · Science and Engineering Ethics · doi:10.1007/s11948-018-0072-y · Cited by 29 · see citing works

Self-Supervised Machine Learning to Characterize Step Counts from Wrist-Worn Accelerometers in the UK Biobank

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Validation of a life-logging wearable camera method and the 24-h diet recall method for assessing maternal and child dietary diversity

Bulungu, A. L. S., Palla, L., Priebe, J., Forsythe, L., Katic, P., Varley, G., Galinda, B. D., Sarah, N., Nambooze, J., Wellard, K., et al. (2020) · British Journal Of Nutrition · doi:10.1017/s0007114520003530 · Cited by 29 · see citing works

Wearable smart textiles for mood regulation: A critical review of emerging technologies and their psychological impacts

Dejene, B. K. (2025) · Journal of Industrial Textiles · doi:10.1177/15280837251314190 · Cited by 27 · see citing works

Factors Influencing British Adolescents’ Intake of Whole Grains: A Pilot Feasibility Study Using SenseCam Assisted Interviews

Kamar, M., Evans, C. E. L., & Hugh‐Jones, S. (2019) · Nutrients · doi:10.3390/nu11112620 · Cited by 27 · see citing works

Using Wearable Cameras to Categorize the Type and Context of Screen-Based Behaviors Among Adolescents: Observational Study

Thomas, G., Bennie, J. A., De Cocker, K., Dwi Andriyani, F., Booker, B., & Biddle, S. J. H. (2022) · JMIR Pediatrics and Parenting · doi:10.2196/28208 · Cited by 26 · see citing works

Exploring built environment correlates of older adults’ walking travel from lifelogging images

Hou, Y., Moogoor, A., Dieterich, A. V., Song, S., & Yuen, B. (2021) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2021.102850 · Cited by 26 · see citing works

Behavioural responses to cold thermal discomfort

Gauthier, S., & Shipworth, D. (2015) · Building Research & Information · doi:10.1080/09613218.2015.1003277 · Cited by 26 · see citing works

Logging you, Logging me

Price, B. A., Stuart, A., Çalıklı, G., McCormick, C., Mehta, V., Hutton, L., Bandara, A. K., Levine, M., & Nuseibeh, B. (2017) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3090087 · Cited by 27 · see citing works

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. L., Galland, B. C., Haszard, J. J., Meredith-Jones, K., Morrison, S., McIntosh, D. R., Jackson, R., Beebe, D. W., Fangupo, L. J., Richards, R., et al. (2019) · BMC Public Health · doi:10.1186/s12889-019-7628-x · Cited by 26 · see citing works

Automatic Dietary Monitoring Using Wearable Accessories

Schiboni, G., & Amft, O. (2017) · Springer eBooks · doi:10.1007/978-3-319-69362-0_13 · Cited by 26 · see citing works

Wearable Egocentric Camera as a Monitoring Tool of Free-Living Cigarette Smoking: A Feasibility Study

Imtiaz, M. H., Hossain, D., Senyurek, V. Y., Belsare, P. V., Tiffany, S. T., & Sazonov, E. E. (2019) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntz208 · Cited by 25 · see citing works

Using wearable cameras to monitor eating and drinking behaviours during transport journeys

Davies, A. J., Chan, V., Bauman, A. E., Signal, L. N., Hosking, C., Gemming, L., & Allman-Farinelli, M. A. (2020) · European Journal of Nutrition · doi:10.1007/s00394-020-02380-4 · Cited by 25 · see citing works

Novel technology to help understand the context of physical activity and sedentary behaviour

Loveday, A., Sherar, L. B., Sanders, J. P., Sanderson, P. W., & Esliger, D. (2016) · Physiological Measurement · doi:10.1088/0967-3334/37/10/1834 · Cited by 25 · see citing works

Determining the Intellectual Structure and Academic Trends of Smart Home Health Care Research: Coword and Topic Analyses

Kang, H., Han, J., & Kwon, G. H. (2021) · Journal of Medical Internet Research · doi:10.2196/19625 · Cited by 23 · see citing works

Development and Validation of a Machine Learning Wrist-worn Step Detection Algorithm with Deployment in the UK Biobank

Small, S. R., Chan, S., Walmsley, R., Fritsch, L. V., Acquah, A., Mertes, G., Feakins, B. G., Creagh, A., Strange, A., Matthews, C. E., et al. (2023) · doi:10.1101/2023.02.20.23285750 · Cited by 22 · see citing works

Wearable camera-derived microenvironments in relation to personal exposure to PM2.5

Salmon, M., Milà, C., Bhogadi, S., Addanki, S., Madhira, P., Muddepaka, N., Mora, A., Sanchez, M., Kinra, S., Sreekanth, V., et al. (2018) · Environment International · doi:10.1016/j.envint.2018.05.021 · Cited by 22 · see citing works

Ethical Considerations and Checklist for Affective Research With Wearables

Behnke, M., Saganowski, S., Kunc, D., & Kazienko, P. (2022) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2022.3222524 · Cited by 22 · see citing works

Wearable Cameras: Identifying Healthy Transportation Choices

Doherty, A., Kelly, P., & Foster, C. E. (2013) · IEEE Pervasive Computing · doi:10.1109/mprv.2013.21 · Cited by 21 · see citing works

Annapurna: Building a Real-World Smartwatch-Based Automated Food Journal

Sen, S., Subbaraju, V., Misra, A., Balan, R. K., & Lee, Y. (2018) · IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) · doi:10.1109/wowmom.2018.8449755 · Cited by 21 · see citing works

Evaluating Users’ Experiences of a Child Multimodal Wearable Device: Mixed Methods Approach

McElwain, N. L., Fisher, M. C., Nebeker, C., Bodway, J. M., Islam, B., & Hasegawa‐Johnson, M. (2023) · JMIR Human Factors · doi:10.2196/49316 · Cited by 21 · see citing works

Views of individuals with spinal cord injury on the use of wearable cameras to monitor upper limb function in the home and community

Likitlersuang, J., Sumitro, E. R., Theventhiran, P., Kalsi‐Ryan, S., & Zariffa, J. (2017) · Journal of Spinal Cord Medicine · doi:10.1080/10790268.2017.1349856 · Cited by 21 · see citing works

National Food Intake Assessment: Technologies to Advance Traditional Methods

Moshfegh, A. J., Rhodes, D. G., & Martin, C. (2022) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-062320-110636 · Cited by 20 · see citing works

Public restroom detection on mobile phone via active probing

Fan, M., Adams, A. T., & Truong, K. N. (2014) · ACM International Symposium on Wearable Computers (ISWC) · doi:10.1145/2634317.2634320 · Cited by 20 · see citing works

The hidden impact of home adaptations: Using a wearable camera to explore lived experiences and taken‐for‐granted behaviours

Wilson, G., Aitken, D., Hodgson, P., & Bailey, C. (2019) · Health & Social Care in the Community · doi:10.1111/hsc.12818 · Cited by 19 · see citing works

Everyday visual demands of people with low vision: A mixed methods real-life recording study

Starke, S. D., Golubova, E., Crossland, M. D., & Wolffsohn, J. S. (2020) · Journal of Vision · doi:10.1167/jov.20.9.3 · Cited by 19 · see citing works

Personality assessment in daily life

Allemand, M., & Mehl, M. R. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-804674-6.00027-2 · Cited by 19 · see citing works

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 · see citing works

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 · see citing works

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 · see citing works

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 · see citing works

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 · see citing works