Author ORCID Identifier
Perez - https://orcid.org/0000-0002-2852-2041
Zeadally - https://orcid.org/0000-0002-5982-8190
Document Type
Article
Publication Date
12-3-2018
Publication Title
Electronics
Volume
7
Issue
12
First Page
379
Abstract
Given the availability of cameras in mobile phones, drones and Internet-connected devices, facial privacy has become an area of major interest in the last few years, especially when photos are captured and can be used to identify bystanders’ faces who may have not given consent for these photos to be taken and be identified. Some solutions to protect facial privacy in photos currently exist. However, many of these solutions do not give a choice to bystanders because they rely on algorithms that de-identify photos or protocols to deactivate devices and systems not controlled by bystanders, thereby being dependent on the bystanders’ trust in these systems to protect his/her facial privacy. To address these limitations, we propose FacePET (Facial Privacy Enhancing Technology), a wearable system worn by bystanders and designed to enhance facial privacy. We present the design, implementation, and evaluation of the FacePET and discuss some open research issues.
Recommended Citation
Perez, Alfredo J.; Zeadally, Sherali; Matos Garcia, Luis Y.; Mouloud, Jason A.; and Griffith, Scott, "FacePET: Enhancing Bystanders’ Facial Privacy with Smart Wearables/Internet of Things" (2018). Computer Science Faculty Publications. 87.
https://digitalcommons.unomaha.edu/compscifacpub/87
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Comments
This is an open access article that can be accessed at https://doi.org/10.3390/electronics7120379