Banca de QUALIFICAÇÃO: DANILO RODRIGO CAVALCANTE BANDEIRA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : DANILO RODRIGO CAVALCANTE BANDEIRA
DATE: 31/01/2020
TIME: 08:30
LOCAL: Auditorio I - DIMAp
TITLE:

A Study About the Impact of Combining Handwritten Signature and Keyboard Keystroke Dynamics on Gender and Emotional State prediction


KEY WORDS:

soft biometrics, gender prediction, emotional state prediction


PAGES: 76
BIG AREA: Ciências Exatas e da Terra
AREA: Ciência da Computação
SUBÁREA: Metodologia e Técnicas da Computação
SPECIALTY: Sistemas de Informação
SUMMARY:

The use of soft biometrics as an auxiliary tool on user identification is already well known.
It is not, however, the only use possible for biometric data, as such data can be adequate to
get low level information from the user that are not only related to his identity. Gender,
hand-orientation and emotional state are some examples, which it can be called softbiometrics.
It is very common to find work using physiologic modalities for soft-biometric
prediction, but the behavioural data is often neglected. Two possible behavioural modalities
that are not often found in the literature are keystroke dynamics and handwriting
signature, which can be seen used alone to predict the users gender, but not in any kind of
combination scenario. In order to fill this space, this study aims to investigate whether the
combination of those two different biometric modalities can impact the gender prediction
accuracy, and how this combination should be done.


BANKING MEMBERS:
Presidente - 1350250 - ANNE MAGALY DE PAULA CANUTO
Interna - 2524467 - MARJORY CRISTIANY DA COSTA ABREU
Externo à Instituição - DIEGO SILVEIRA COSTA NASCIMENTO - IFRN
Notícia cadastrada em: 17/01/2020 16:24
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