(WKSP) On the Potential of Data Extraction by Detecting Unaware Facial Recognition with Brain-Computer Interfaces

Bellman, Christopher; Martin, Miguel Vargas; MacDonald, Shane

doi:10.1109/iccc.2018.00022

Cited by 4 publications

(3 citation statements)

References 12 publications

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“…In addition, it is essential to differentiate between specific technologies, their costs, and their benefits. (Bellman et al, 2018) On the potential of data extraction by detecting unaware facial recognition with brain-computer interfaces…”

Section: Discussionmentioning

confidence: 99%

“…To avoid the alteration or attack of the EEG signal during the transmission of the wireless BCI, Bhalerao et al (2020) introduce a security lock-in between the EEG recording system and the processing system. Bellman et al (2018) studied as attackers can obtain private information from individuals without their consent using modern consumergrade BCI devices based on the level of recognition a victim has of a specific face. For example, Gladden (2016) proposed a conceptual framework neuroprosthetic devices (sensory, cognitive, and motor neuroprostheses), utilized for the treatment of medical conditions or purposes of human enhancement.…”

Section: Cyberattacksmentioning

confidence: 99%

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Brain-computer interfaces in safety and security fields: Risks and applications

Brocal

2023

Safety Science

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Section: Discussionmentioning

confidence: 99%

Section: Cyberattacksmentioning

confidence: 99%

Brain-computer interfaces in safety and security fields: Risks and applications

Brocal

2023

Safety Science

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“…In this year there were five studies assessing the capabilities of EPOC. These studies assessed the accuracy of P300 identification [6], the validity of affect signatures [7], and whether EPOC could be used to collect valid ERPs [8,29,30]. Another five EPOC validation studies were published in 2014 before peaking in 2015 (n = 7) and then declining in 2016, 2017, 2018, and 2019 (n = 4, n = 4, n = 3, and n = 3, respectively).…”

Section: Fig 2 Number Of Epoc Studies By Type From 2010 To 2019 Stamentioning

confidence: 99%

10 years of EPOC: A scoping review of Emotiv’s portable EEG device

Williams

McArthur

Badcock

2020

Preprint

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BACKGROUND Commercially-made low-cost electroencephalography (EEG) devices have become increasingly available over the last decade. One of these devices, Emotiv EPOC, is currently used in a wide variety of settings, including brain-computer interface (BCI) and cognitive neuroscience research. PURPOSE The aim of this study was to chart peer-reviewed reports of Emotiv EPOC projects to provide an informed summary on the use of this device for scientific purposes. METHODS We followed a five-stage methodological framework for a scoping review that included a systematic search using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines. We searched the following electronic databases: PsychINFO, MEDLINE, Embase, Web of Science, and IEEE Xplore. We charted study data according to application (BCI, clinical, signal processing, experimental research, and validation) and location of use (as indexed by the first author’s address). RESULTS We identified 382 relevant studies. The top five publishing countries were the United States (n = 35), India (n = 25), China (n = 20), Poland (n = 17), and Pakistan (n = 17). The top five publishing cities were Islamabad (n = 11), Singapore (n = 10), Cairo, Sydney, and Bandung (n = 7 each). Most of these studies used Emotiv EPOC for BCI purposes (n = 277), followed by experimental research (n = 51). Thirty-one studies were aimed at validating EPOC as an EEG device and a handful of studies used EPOC for improving EEG signal processing (n = 12) or for clinical purposes (n = 11). CONCLUSIONS In its first 10 years, Emotiv EPOC has been used around the world in diverse applications, from control of robotic limbs and wheelchairs to user authentication in security systems to identification of emotional states. Given the widespread use and breadth of applications, it is clear that researchers are embracing this technology.

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Reflecting on Two Decades of Services Computing

Hung

Blake

2018

IEEE Internet Comput.

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(WKSP) On the Potential of Data Extraction by Detecting Unaware Facial Recognition with Brain-Computer Interfaces

Cited by 4 publications

References 12 publications

Brain-computer interfaces in safety and security fields: Risks and applications

Brain-computer interfaces in safety and security fields: Risks and applications

10 years of EPOC: A scoping review of Emotiv’s portable EEG device

Reflecting on Two Decades of Services Computing

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