Using Brain-Computer Interfaces to Determine the Location of Missing People

Publication Title
IEEE Xplore
Publication/Creation Date
October 22 2014
Gabriel Aversano (contributor)
Victor Cho (contributor)
Dr. Miguel Vargas Martin (contributor)
Dr. Matthew Shane (contributor)
Ms. Kirendeep Kaur (contributor)
R. Howard Webster Foundation (contributor)
University Of Ontario Institute Of Technology (contributor)
Persuasive Intent
Low-cost, non-invasive electroencephalography (EEG) headsets have become increasingly popular in recent years. Most noteworthy is the adoption of brain-computer interfaces (BCIs) by the non-academic community. Traditionally, these devices were used to assist persons with disabilities, but there has been a large momentum shift to applications for the regular consumer such as cognitive monitoring, cognitive well-being, entertainment, and personal software development through API’s and other software development tools. It is believed that the acceptance and interest will continue to grow. BCIs will be incorporated into everyday life and could be used to benefit society. The application proposed in this paper is determining the location of missing people. A description of the background and methodology behind the approach is used to test the hypothesis that a BCI system can narrow down the location of a missing person, which includes the procedure for ongoing experimental work. BCI systems can be incorporated into games, also known as serious games, and entertainment environments such as movies and YouTube videos. The increased interest in serious games and user-generated content make these the perfect media for the research.
HCI Platform
Discursive Type
Location on Body
Brain, Ear

Date archived
September 15 2015
Last edited
November 28 2018
How to cite this entry
(October 22 2014). "Using Brain-Computer Interfaces to Determine the Location of Missing People ". IEEE Xplore. IEEE. Fabric of Digital Life.