Setyonugroho, Adityo and Purnama, James and Galinium, Maulahikmah (2015) Implementation of Gender Classification System for Promoting Targeting Using Depth-Camera. Bachelor thesis, Swiss German University.

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Abstract

This research is trying to prove that gender recognition by computer can be done in real time. Gender recognition can be used on many industries. This research purpose is to detect gender by using images of user (RGB image) and voice for promoting targeting. By using multi modalities, author believe that the result is more accurate than only using one factor. This research went on some processes to be able to detect gender by using visual image of face. Image processing algorithm were used on processing facial image, such as Linear Discriminant Analysis (LDA) algorithm. Autocorrelation is one from many methods that able to detect pitch from detected audio. Kinect For Windows v2 was carried out as visual and audio sensor. Most Shown Result (MSR) algorithm was developed to predict gender based on multi modalities detection result. Many problems also found during experiments, such as input data problem, not matching algorithm, and small percentage of accuracy. In conclusion that detecting gender can be done by computer (real time or not) and many adjustment must be made to get proper and high accuracy result.

Item Type:	Thesis (Bachelor)
Uncontrolled Keywords:	Gender Recognition; Face recognition; Pitch detection; Kinect For Windows v2; Linear Discriminant Analysis; Autocorrelation
Subjects:	T Technology > T Technology (General) > T58.5 Information technology T Technology > TA Engineering (General). Civil engineering (General) > TA1653 Human face recognition (Computer science)
Divisions:	Faculty of Engineering and Information Technology > Department of Information Technology
Depositing User:	Atroridho Rizky
Date Deposited:	20 Jan 2021 14:30
Last Modified:	20 Jan 2021 14:30
URI:	http://repository.sgu.ac.id/id/eprint/1711

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