scholarly journals APLIKASI PENGEKSTRAK CIRI KERIPUT WAJAH MANUSIA DENGAN PENDEKATAN KEACAKKAN STATISTIS ENTROPI

2021 ◽  
Vol 2 (2) ◽  
pp. 85-92
Author(s):  
Syukri Gazali Suatkab ◽  
Alphin Stephanus (Stevie)
Keyword(s):  
User Interface ◽  
Histogram Equalization ◽  
Graphic User Interface

Proses penuaan merupakan hal yang tidak bisa dihindari dan sifatnya alami pada manusia. Perubahan wajah manusia terjadi secara signifikan seiring dengan bertambahnya usia.  Aspek-aspek yang mempengaruhi perubahan ini antara lain: heriditas, psikologis, nutrisi, lifestyle, ras maupun dearah geografis.  Manusia memiliki kebutuhan yang berbeda pada setiap kelompok usia. Sebagai konsekuensi perkembangan ilmu pengetahuan, teknologi dan informasi maka dibutuhkan layanan publik yang dapat membantu manusia dalam memenuhi kebutuhan berdasarkan kelompok umur. Untuk dapat mengelompokkan umur dengan baik maka dibutuhkan diskriptor yang baik sebagai ciri pembeda utama. Penelitian ini menggunakan MATLAB 7.8 berbasis GUI (Graphic User Interface) untuk membuat aplikasi pengekstrak ciri keriput wajah. Pengekstrakan ciri citra dibagi menjadi dua sub proses yaitu pra pengolahan citra dan ekstraksi ciri. Praproses diawali dengan Cropping citra asli menjadi lebih kecil, pengubahan citra warna menjadi citra aras keabuan (grayscale), melakukan histogram equalization dan cropping pada 5 daerah kerutan wajah. Berdasarkan lima daerah kerutan wajah manusia tersebut, dihasilkan ciri tekstur sebagai ciri keriput diperoleh dari pendekatan keacakan statistis yaitu entropi. Penelitian ini menggunakan 12 citra wajah laki-laki dengan batasan umur 20 tahun sampai dengan diatas 60 tahun sebagai bahan sampel. Sistem ini berhasil mengekstrak seluruh sampel citra wajah. Dan akhirnya aplikasi ini diharapkan dapat menjadi referensi yang dapat diimplementasikan dibidang yang lain.                                                                                                            

Graphic User Interface for Extreme Level Eliminating Adaptive Histogram Equalization

2016 ◽  
Vol 4 (1) ◽  
pp. 42-45
Author(s):  
Kok Swee Sim ◽  
◽  
Desmond Teck Kiang Kho ◽  
Mohsen Esmaeilinia ◽  
Yang Lee ◽  
...  
Keyword(s):  
User Interface ◽  
Histogram Equalization ◽  
Graphic User Interface ◽  
Adaptive Histogram Equalization

A Chinese cooking robot for elderly and disabled people

Robotica ◽  
2011 ◽  
Vol 29 (6) ◽  
pp. 843-852 ◽  
Author(s):  
Wen-Tao Ma ◽  
Wei-Xin Yan ◽  
Zhuang Fu ◽  
Yan-Zheng Zhao
Keyword(s):  
User Interface ◽  
Special Needs ◽  
Daily Life ◽  
Personal Digital Assistant ◽  
Design Principles ◽  
Graphic User Interface ◽  
Disabled People ◽  
Chinese Cooking ◽  
Barrier Free

Cooking themselves is very important and difficult for elderly and disabled people in daily life. This paper presents a cooking robot for those people who are confined to wheelchairs. The robot can automatically load ingredients, cook Chinese dishes, take cooked foods out, deliver dishes to the table, self-clean, collect used ingredient box components, and so on. Its structure and interface is designed based on the barrier-free design principles. Elderly and disabled people can only click one button in the friendly Graphic User Interface of a Personal Digital Assistant (PDA) to launch the cooking processes, and several classic Chinese dishes would be placed in front of them one after another within few minutes. Experiments show that the robot can meet their special needs, and the involved aid activities are easy and effective for elderly and disabled people.

scholarly journals eRNA: a graphic user interface-based tool optimized for large data analysis from high-throughput RNA sequencing

BMC Genomics ◽  
2014 ◽  
Vol 15 (1) ◽  
pp. 176 ◽  
Author(s):  
Tiezheng Yuan ◽  
Xiaoyi Huang ◽  
Rachel L Dittmar ◽  
Meijun Du ◽  
Manish Kohli ◽  
...  
Keyword(s):  
Data Analysis ◽  
User Interface ◽  
Rna Sequencing ◽  
High Throughput ◽  
Large Data ◽  
Graphic User Interface ◽  
Large Data Analysis

scholarly journals Research on EEG-based Graphic User Interface Kansei Design Evaluation

2020 ◽  
Vol 179 ◽  
pp. 02103
Author(s):  
Hong Ren ◽  
Chunyu Zhang ◽  
Ningning Zhang
Keyword(s):  
User Interface ◽  
Graphical User Interface ◽  
Perceptual Experience ◽  
Evaluation Method ◽  
Design Evaluation ◽  
Graphic User Interface ◽  
Activity Levels ◽  
Design Elements ◽  
Visual Style ◽  
Visual Interface

Graphical user interface (GUI) is designed as the interaction medium between the user and the interface, and the perceptual experience of GUI design has been paid more and more attention by users. Based on the theory of perceptual engineering (KE), two groups of different visual style interfaces were taken as an example to record the EEG data when users watched two groups of visual interfaces, in order to explore the user’s perceptual imagery and perceptual experience for the visual interface. It aims to meet the user’s perceptual needs and provide an effective evaluation method and design basis for the graphical user interface design. Firstly, the EEG spectrogram and brain topographic maps were obtained by data analysis and processing. The results showed that the activity levels of the θ wave and α wave induced by the two groups of different visual style interfaces were significantly different. Secondly, this paper analyzed the user’s perceptual imagery with GUI perceptual design elements, and concluded that the perceptual design elements of GUI would affect the user’s cognitive interest and perceptual experience. GUI design should focus on the unity and coordination of perceptual design elements and perceptual imageries. Finally, it is concluded that the EEG-based perceptual design evaluation method can effectively evaluate the GUI visual interface.

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