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Blur Obfuscation for Wearable Electronic Devices
Study Summary
This trial is testing the acceptability of a wearable device, WildCam, which captures video data of the user's face and upper torso to capture eating behaviors. The device is privacy conscious, meaning it utilizes a computer vision algorithm that extracts proximal features (the user's body and objects-in-hand) from the video and digitally obfuscates the distal features (background environment and entities therein) to preserve the privacy of the wearer, as well as any bystanders who may be in the device's visual field.
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Outcome measures can provide a clearer picture of what you can expect from a treatment.Trial Design
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Frequently Asked Questions
What criteria must be fulfilled by individuals to qualify for participation in the trial?
"To be eligible for this research initiative, potential participants must possess the designated electronic device and fall between 18-64 years of age. A maximum of 30 individuals will be admitted into the trial."
Is geriatric participation permissible in this medical experiment?
"In order to qualify for this trial, participants must be aged between 18 and 64 years old."
What is the capacity for recruitment of participants to this medical trial?
"Indeed, the data on clinicaltrials.gov suggests that this medical research is recruiting participants. It was initially uploaded to the website on September 1st 2022 and updated most recently on the 16th of September in the same year. The trial requires 30 volunteers from a single site for its completion."
Are there opportunities for enrollment in this clinical trial presently?
"Per the listings on clinicaltrials.gov, this research is looking for participants, having been initial posted in early September of 2022 and last modified late that same month."
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