72 Participants Needed

Obfuscation Methods for Wearable Electronic Devices

(EAT Trial)

NA
BN
NA
Overseen ByNabil Alshurafa, PhD
Age: 18+
Sex: Any
Trial Phase: Academic
Sponsor: Northwestern University
No Placebo GroupAll trial participants will receive the active study treatment (no placebo)

What You Need to Know Before You Apply

What is the purpose of this trial?

This trial tests a new wearable device designed to capture images of daily activities while preserving privacy. Worn around the neck, the device uses filters such as blur (Blur Obfuscation), cartoon (Cartoon Obfuscation), and edge effects (Edge Obfuscation) to obscure faces and objects in the images. Participants will use the device for four weeks, logging their food and drink intake and having phone check-ins with a dietitian. This study suits residents of the Chicago area who speak English and have a smartphone and computer. Participants will assist researchers in evaluating the effectiveness of the privacy features and provide feedback on the device. As an unphased trial, this study offers participants the chance to contribute to innovative research on privacy-preserving technology.

Do I need to stop taking my current medications for this trial?

The trial protocol does not specify whether you need to stop taking your current medications, so it's best to check with the study team for guidance.

What prior data suggests that this wearable device is safe for monitoring human behaviors?

Research shows that wearable devices, like those used in this study, are generally safe, though they can raise privacy concerns. Treatments such as Blur, Cartoon, and Edge Obfuscation focus on protecting privacy.

Cartoon Obfuscation reduces privacy worries, especially for nearby individuals. Blur and Edge Obfuscation help conceal identities in images, providing extra privacy protection. No safety issues have been reported with these visual filters; concerns focus more on data usage and security.

In this trial, the device's primary function is to take pictures silently. Various obfuscation methods alter these images to protect privacy. Other studies have not reported harmful effects from wearing such devices.

This trial is in the "Not Applicable" phase, indicating that safety is not a major concern. This phase typically involves non-invasive technology or trials that don't pose significant health risks. While privacy remains important, previous studies support the physical safety of wearing the device.12345

Why are researchers excited about this trial?

Researchers are excited about this trial because it explores innovative methods to enhance privacy in wearable electronic devices. The trial investigates unique obfuscation techniques like Blur Obfuscation, Cartoon Obfuscation, and Edge Obfuscation, which are distinct from current approaches that simply restrict or encrypt data. Blur Obfuscation adds a layer of distortion to the data, while Cartoon Obfuscation transforms real images into cartoon-like representations, making it harder to extract sensitive information. Edge Obfuscation focuses on altering the outlines or edges of images, offering another layer of privacy protection. These methods aim to safeguard user privacy without compromising the functionality of wearable devices, which could be a game-changer in how personal data is protected in the digital age.

What evidence suggests that these obfuscation methods are effective for privacy preservation?

This trial will compare different obfuscation methods for wearable electronic devices. Research has shown that transforming images into cartoon-like visuals, as participants in the Cartoon Obfuscation arm will experience, can reduce privacy concerns, especially for those near the device user. This method makes facial recognition more difficult while still collecting activity data. Participants in the Edge Obfuscation arm will experience outlining objects with simple lines, which studies suggest helps protect privacy by obscuring specific details. Although blur obfuscation, another method tested in this trial, is commonly used, it often proves less effective at fully protecting privacy compared to other methods. These techniques aim to balance privacy protection with the need to gather useful activity data.678910

Are You a Good Fit for This Trial?

This trial is for English-speaking individuals with a BMI of at least 18.5, living in the Chicago area, who have a computer, smartphone, and valid phone number. It's designed to assess a wearable device that monitors eating behaviors.

Inclusion Criteria

BMI greater than or equal to 18.5
Chicago metropolitan area resident
I have a working phone number.
See 3 more

Exclusion Criteria

Member of household enrolled in the study
Pregnant or breastfeeding individuals
I or someone in my family has a genetic obesity syndrome.
See 1 more

Timeline for a Trial Participant

Screening

Participants are screened for eligibility to participate in the trial

1 week
1 visit (in-person)

Device Training and Initial Recording

Participants visit the lab for consent, device training, and recording of several activities using the device

1 week
1 visit (in-person)

Active Weeks

Participants wear the device, keep a log of all food and drink items consumed, and participate in unscheduled phone calls with a dietitian

4 weeks
Unscheduled phone calls

Washout Weeks

Participants do not need to complete any study tasks during washout weeks

3 weeks

Feedback and Device Return

Participants return the device and provide feedback on the design and privacy-preserving features

1 week
1 visit (in-person)

What Are the Treatments Tested in This Trial?

Interventions

  • Blur Obfuscation
  • Cartoon Obfuscation
  • Edge Obfuscation
Trial Overview The study tests a neck-worn device capturing images without audio to monitor eating habits. Participants will use it during normal activities for four weeks with breaks in between. The device uses privacy filters (blur, edge, cartoon) on recorded images.
How Is the Trial Designed?
4Treatment groups
Experimental Treatment
Group I: No Obfuscation (Raw)Experimental Treatment1 Intervention
Group II: Edge ObfuscationExperimental Treatment1 Intervention
Group III: Cartoon ObfuscationExperimental Treatment1 Intervention
Group IV: Blur ObfuscationExperimental Treatment1 Intervention

Find a Clinic Near You

Who Is Running the Clinical Trial?

Northwestern University

Lead Sponsor

Trials
1,674
Recruited
989,000+

National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)

Collaborator

Trials
2,513
Recruited
4,366,000+

Published Research Related to This Trial

The study presents a novel method for teaching anatomical variations using 3D video animations, which enhance understanding of spatial relationships compared to traditional photographs or illustrations.
An aberrant right subclavian artery (ARSA) was identified during a dissection, and a 3D model of this variation was created, allowing students to interactively explore and understand its anatomical context on mobile devices.
Presentation of Anatomical Variations Using the Aurasma Mobile App.Hong, T., Bézard, G., Lozanoff, BK., et al.[2018]
The digital mask effectively removes identifiable features from facial images while preserving important disease-related characteristics necessary for diagnosis, enhancing patient privacy.
This innovation not only prevents recognition by both human researchers and facial-recognition algorithms but also increases patients' willingness to share their medical information, promoting better healthcare communication.
Anonymizing facial images to improve patient privacy.[2022]
A new display method using mosaic blur was developed to protect patient privacy in electronic medical records, allowing temporary concealment of sensitive information while still enabling necessary information sharing among medical personnel.
Interviews with medical staff revealed that while the mosaic blur increased awareness of patient confidentiality, it also posed challenges, such as the inconvenience of accessing concealed information and the potential risk of not having enough information for safe medical care.
Examination of an Electronic Patient Record Display Method to Protect Patient Information Privacy.Niimi, Y., Ota, K.[2017]

Citations

Obfuscation Methods for Wearable Electronic DevicesWhat data supports the effectiveness of the treatment Blur Obfuscation, Cartoon Obfuscation, Edge Obfuscation for wearable electronic devices? Research on ...
Impacts of Image Obfuscation on Fine-grained Activity ...In this paper, we tested a mask obfuscation method's effect on hand-related human activity recognition accuracy. We show on average a 2% reduction in accuracy ...
Blur vs. Block: Investigating the Effectiveness of Privacy- ...Results suggest that blurring (the most commonly used obfuscation) is much less effective at preserving privacy than blocking.
Impacts of Image Obfuscation on Fine-grained Activity ...Our findings show that it is possible to protect PUI at smaller image utility costs (loss of accuracy). Index Terms—Human Activity Recognition, Wearable Camera,.
(PDF) Effectiveness and Users' Experience of Obfuscation ...Results indicate the two most common obfuscations, blurring and pixelating, are ineffective. On the other hand, inpainting, which removes an ...
“Whispers from the Wrist”: Wearable Health Monitoring ...This manuscript explores the loopholes in current regulations and suggests a framework that categorizes wearable data and addresses challenges in data transfer.
Privacy Concerns with Wearable Health DevicesDespite their promise, wearable devices collect vast amounts of sensitive health data, making privacy a critical concern.
Medical wearables under the microscope: U.S. regulatory, ...Falsified or corrupted data streamed from a jailbroken device could induce erroneous clinical interventions or cause a device to stop ...
HabitSense: A Privacy-Aware, AI-Enhanced Multimodal ...Wearable cameras provide an objective method to visually confirm and automate the detection of health-risk behaviors such as smoking and overeating, ...
What Clinicians Should Tell Patients About Wearable ...The result is that people using wearables may be unaware of how their data may be used or the risks associated with data breaches. Many ...
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