Wahyono, Irawan Dwi and Saryono, Djoko and Ashar, Muhammad and Asfani, Khoirudin (2019) Face emotional detection using computational intelligence based ubiquitous computing. 2019 International Seminar on Application for Technology of Information and …, 2019.
Full text not available from this repository.Abstract
The ubiquitous use of industrial technology 4.0 is increasing mainly to facilitate human work. This is because ubiquitous is a small and inexpensive device but has limitations in resources. Research on ubiquitous continues to be developed especially in the use of sensors in ubiquitous. Optimization of face sensors for face detection has also been done. High computing for face detection optimization causes overload on ubiquitous and low accuracy of face detection. This is because resources are limited to ubiquitous. This study developed the human face emotional detection using Computational Intelligence in ubiquitous devices. The computations carried out on ubiquitous devices to detect facial emotions using the K-Means algorithm to segment colors in the results of face images. Photos of segmentation were carried out by histogram to get the gray value.
| Item Type: | Article |
|---|---|
| Subjects: | L Education > L Education (General) |
| Divisions: | Fakultas Sastra (FS) > Laporan Karya Ilmiah FS |
| Depositing User: | library UM |
| Date Deposited: | 29 Apr 2019 06 |
| Last Modified: | 14 Jun 2023 06:43 |
| URI: | http://repository.um.ac.id/id/eprint/196746 |
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