Identifying Facial Microexpressions During a Personnel Selection Process
DOI:
https://doi.org/10.26439/ciis2019.5525Abstract
How to know if the information provided by an applicant during a personnel selection process is true? Paul Ekman, a pioneer psychologist in the study of facial expressions, links lies with microexpressions, a type of subtle, short facial gesture that represents emotions that a person tries to repress. This research proposes the use of “local binary patterns” and “support vector machines” to detect microexpressions and classify them through the implementation of a system evaluated in the SAMM database and test subjects.