Multimedia Content Development as a Facial Expression Datasets for Recognition of Human Emotions

N. E. Mamonto; H. Maulana; D. Y. Liliana; T. Basaruddin

doi:10.1088/1757-899X/306/1/012050

Multimedia Content Development as a Facial Expression Datasets for Recognition of Human Emotions

N. E. Mamonto, H. Maulana, D. Y. Liliana, T. Basaruddin

Department of Computer Science

Research output: Contribution to journal › Conference article › peer-review

2 Citations (Scopus)

Abstract

Datasets that have been developed before contain facial expression from foreign people. The development of multimedia content aims to answer the problems experienced by the research team and other researchers who will conduct similar research. The method used in the development of multimedia content as facial expression datasets for human emotion recognition is the Villamil-Molina version of the multimedia development method. Multimedia content developed with 10 subjects or talents with each talent performing 3 shots with each capturing talent having to demonstrate 19 facial expressions. After the process of editing and rendering, tests are carried out with the conclusion that the multimedia content can be used as a facial expression dataset for recognition of human emotions.

Original language	English
Article number	012050
Journal	IOP Conference Series: Materials Science and Engineering
Volume	306
Issue number	1
DOIs	https://doi.org/10.1088/1757-899X/306/1/012050
Publication status	Published - 22 Feb 2018
Event	2nd International Conference on Innovation in Engineering and Vocational Education, ICIEVE 2017 - Manado, North Sulawesi, Indonesia Duration: 25 Oct 2017 → 26 Oct 2017

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abstract = "Datasets that have been developed before contain facial expression from foreign people. The development of multimedia content aims to answer the problems experienced by the research team and other researchers who will conduct similar research. The method used in the development of multimedia content as facial expression datasets for human emotion recognition is the Villamil-Molina version of the multimedia development method. Multimedia content developed with 10 subjects or talents with each talent performing 3 shots with each capturing talent having to demonstrate 19 facial expressions. After the process of editing and rendering, tests are carried out with the conclusion that the multimedia content can be used as a facial expression dataset for recognition of human emotions.",

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AU - Maulana, H.

AU - Liliana, D. Y.

AU - Basaruddin, T.

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AB - Datasets that have been developed before contain facial expression from foreign people. The development of multimedia content aims to answer the problems experienced by the research team and other researchers who will conduct similar research. The method used in the development of multimedia content as facial expression datasets for human emotion recognition is the Villamil-Molina version of the multimedia development method. Multimedia content developed with 10 subjects or talents with each talent performing 3 shots with each capturing talent having to demonstrate 19 facial expressions. After the process of editing and rendering, tests are carried out with the conclusion that the multimedia content can be used as a facial expression dataset for recognition of human emotions.

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Multimedia Content Development as a Facial Expression Datasets for Recognition of Human Emotions

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