Selective Content Removal for Egocentric Wearable Camera in Nutritional Studies

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dc.contributor.authorAbul Hassan, Mohamed
dc.contributor.authorSazonov, Edward
dc.contributor.otherUniversity of Alabama Tuscaloosa
dc.date.accessioned2023-09-28T19:31:07Z
dc.date.available2023-09-28T19:31:07Z
dc.date.issued2020
dc.description.abstractAutomatic Ingestion Monitor v2 (AIM-2) is an egocentric camera and sensor that aids monitoring of individual diet and eating behavior by capturing still images throughout the day and using sensor data to detect eating. The images may be used to recognize foods being eaten, eating environment, and other behaviors and daily activities. At the same time, captured images may carry privacy concerning content such as (1) people in social eating and/or bystanders (i.e., bystander privacy); (2) sensitive documents that may appear on a computer screen in the view of AIM-2 (i.e., context privacy). In this paper, we propose a novel approach based on automatic, image redaction for privacy protection by selective content removal by semantic segmentation using a deep learning neural network. The proposed method reported a bystander privacy removal with precision of 0.87 and recall of 0.94 and reported context privacy removal by precision and recall of 0.97 and 0.98. The results of the study showed that selective content removal using deep learning neural network is a much more desirable approach to address privacy concerns for an egocentric wearable camera for nutritional studies.en_US
dc.format.mediumelectronic
dc.format.mimetypeapplication/pdf
dc.identifier.citationHassan, M. A., & Sazonov, E. (2020). Selective Content Removal for Egocentric Wearable Camera in Nutritional Studies. In IEEE Access (Vol. 8, pp. 198615–198623). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/access.2020.3030723
dc.identifier.doi10.1109/ACCESS.2020.3030723
dc.identifier.orcidhttps://orcid.org/0000-0001-7792-4234
dc.identifier.orcidhttps://orcid.org/0000-0002-3076-8075
dc.identifier.urihttps://ir.ua.edu/handle/123456789/11358
dc.languageEnglish
dc.language.isoen_US
dc.publisherIEEE
dc.subjectPrivacy
dc.subjectWearable sensors
dc.subjectCameras
dc.subjectData privacy
dc.subjectBiomedical monitoring
dc.subjectMonitoring
dc.subjectSemantics
dc.subjectegocentric wearable camera
dc.subjectbystander privacy
dc.subjectcontext privacy
dc.subjectlifelogging
dc.subjectmonitoring of ingestive behavior
dc.subjectfood intake
dc.subjectdiet
dc.subjectnutritional studies
dc.subjectPRIVACY PROTECTION
dc.subjectVISUAL PRIVACY
dc.subjectSENSORS
dc.subjectComputer Science, Information Systems
dc.subjectEngineering, Electrical & Electronic
dc.subjectTelecommunications
dc.titleSelective Content Removal for Egocentric Wearable Camera in Nutritional Studiesen_US
dc.typeArticle
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