2022 2nd International Conference on Information Technology and Education (ICIT&E)最新文献_第6页

Engagement Emotion Classification through Facial Landmark Using Convolutional Neural Network 基于面部标记的卷积神经网络参与情绪分类

2022 2nd International Conference on Information Technology and Education (ICIT&E) Pub Date : 2022-01-22 DOI: 10.1109/ICITE54466.2022.9759546

Aulia Nurrahma Rosanti Paidja, F. A. Bachtiar

{"title":"Engagement Emotion Classification through Facial Landmark Using Convolutional Neural Network","authors":"Aulia Nurrahma Rosanti Paidja, F. A. Bachtiar","doi":"10.1109/ICITE54466.2022.9759546","DOIUrl":"https://doi.org/10.1109/ICITE54466.2022.9759546","url":null,"abstract":"The concept of engagement is the way people are involved in an activity that relates to emotional feelings and attention. In an e-learning environment, engagement can be used as a benchmark for evaluating learning activities because emotional involvement refers to students' affective reactions such as interest, boredom, confusion, or frustration. A person's emotions can be recognized through facial expressions. However, facial expression data of images have high dimensions, resulting in large computational time in the model learning process. To reduce computation time and data dimensions, feature extraction methods such as facial landmarks can be used. Therefore, this study aims to build an emotional engagement recognition system through facial landmarks by implementing the Convolutional Neural Network (CNN) method. Five facial landmarks and Euclidean distance between points and center point from the facial image dataset were detected which is then used as CNN training data. Based on the results of implementation and analysis, an average accuracy of 97.51% was obtained from CNN using five k-fold cross-validations. These results are compared with Deep Neural Network which achieved an average accuracy of 97.14% and SVM which achieved an average accuracy of 89.84%. The accuracy results obtained indicate that CNN successfully recognizes engagement emotion better than the other method.","PeriodicalId":123775,"journal":{"name":"2022 2nd International Conference on Information Technology and Education (ICIT&E)","volume":"82 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130693869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Consumer Behavior in Mobile Commerce Adoption: A Systematic Literature Review 移动商务采用中的消费者行为:系统文献综述

2022 2nd International Conference on Information Technology and Education (ICIT&E) Pub Date : 2022-01-22 DOI: 10.1109/ICITE54466.2022.9759543

Eka Novita Sari, Apol Pribadi Subriadi

引用次数: 2

Clustering of Fine Art-Images as Digital Learning Content using Data Mining-Image Analysis Techniques 基于数据挖掘图像分析技术的美术图像聚类作为数字学习内容

2022 2nd International Conference on Information Technology and Education (ICIT&E) Pub Date : 2022-01-22 DOI: 10.1109/ICITE54466.2022.9759840

Citra Kurniawan, Shirly Rizki Kusumaningrum, Ence Surahman, Zuhkriyan Zakaria

{"title":"Clustering of Fine Art-Images as Digital Learning Content using Data Mining-Image Analysis Techniques","authors":"Citra Kurniawan, Shirly Rizki Kusumaningrum, Ence Surahman, Zuhkriyan Zakaria","doi":"10.1109/ICITE54466.2022.9759840","DOIUrl":"https://doi.org/10.1109/ICITE54466.2022.9759840","url":null,"abstract":"Digital learning was currently packaged exclusively by adding images to attract the students' interest. The use of images as learning content is rarely well-presented as there was no attention given to how such images were produced. About this, Fine Art-Drawing Images are seen as a breakthrough; they have many types, and to use them as learning content, they must be clustered. Thus, this study aimed to determine and predict fine art-drawing images based on the characteristics of drawing techniques. The study used thirty images as input data in which each category (i.e., charcoal, chalk, pastel, pencil, pen and ink, and book illustration) consisted of five sample images. This study used the image analysis technique to process data with software orange data mining. This study revealed that there was a difference between the proportion of actual and proportion of predicted. Actual data were grouped by image technique only, while the prediction result considered image technique, texture, and image coloring. The similarity of drawing technique gives the result of predictive data, which is different from actual data. In a nutshell, this image analysis technique can be used to determine the cluster and prediction of images that have different characteristics and attributes.","PeriodicalId":123775,"journal":{"name":"2022 2nd International Conference on Information Technology and Education (ICIT&E)","volume":"475 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123035595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Android-Based Word Game Applications to Increase the Vocabulary of Deaf Children 基于android的文字游戏应用程序增加聋儿的词汇量

2022 2nd International Conference on Information Technology and Education (ICIT&E) Pub Date : 2022-01-22 DOI: 10.1109/ICITE54466.2022.9759881

Rizqi Fajar Pradipta, D. Wahyuni, Haikal Andrean

引用次数: 1

Predicting Student Achievement before Final Exam: A Regression-Based Approach 期末考试前预测学生成绩:基于回归的方法

2022 2nd International Conference on Information Technology and Education (ICIT&E) Pub Date : 2022-01-22 DOI: 10.1109/ICITE54466.2022.9759885

M. A. Ma'sum

引用次数: 0

Comparison of Fast Inverse Square Root Algorithms for 3D Object Rendering using Ray Tracing 基于光线追踪的快速平方根反算法的比较

2022 2nd International Conference on Information Technology and Education (ICIT&E) Pub Date : 2022-01-22 DOI: 10.1109/ICITE54466.2022.9759849

Rico Filberto, Jacky Yolanda, Alexander Agung Santoso Gunawan

引用次数: 0

Classification of Indonesian Sign Language Greeting Words for Translators for Speech Impaired Persons with Convolutional Neural Network-2D Time Distributed 基于卷积神经网络的印尼语手语问候词二维时间分布分类

2022 2nd International Conference on Information Technology and Education (ICIT&E) Pub Date : 2022-01-22 DOI: 10.1109/ICITE54466.2022.9759847

Afrizal Amri Rahman, Eko Mulyanto Yuniarno, Reza Fuad Rachmadi

引用次数: 0

Melanoma Skin Cancer Classification using Machine Learning: A Systematic Literature Review 使用机器学习进行黑色素瘤皮肤癌分类:系统文献综述

2022 2nd International Conference on Information Technology and Education (ICIT&E) Pub Date : 2022-01-22 DOI: 10.1109/ICITE54466.2022.9759852

Eloise Yemima Sari, Ihsan Najam Bimasakti Kiscahyadi, Merlyn Gracia, A. A. Gunawan

引用次数: 0

Impact of Online Teaching on the Placement in Professional Courses in India 在线教学对印度专业课程实习的影响

2022 2nd International Conference on Information Technology and Education (ICIT&E) Pub Date : 2022-01-22 DOI: 10.1109/ICITE54466.2022.9759545

Chetan Panse, Shailesh Rastogi

引用次数: 3

Implementing Cramer's V Method to Determine the Effect of Musical Style Preference on One's Emotions (Study Case: Spotify) 运用克莱默的V方法确定音乐风格偏好对个人情绪的影响(研究案例:Spotify)

2022 2nd International Conference on Information Technology and Education (ICIT&E) Pub Date : 2022-01-22 DOI: 10.1109/ICITE54466.2022.9759844

William Susanto, H. Caleb, Noviandy Dharma, Kristien Margi Suryaningrum

{"title":"Implementing Cramer's V Method to Determine the Effect of Musical Style Preference on One's Emotions (Study Case: Spotify)","authors":"William Susanto, H. Caleb, Noviandy Dharma, Kristien Margi Suryaningrum","doi":"10.1109/ICITE54466.2022.9759844","DOIUrl":"https://doi.org/10.1109/ICITE54466.2022.9759844","url":null,"abstract":"Nowadays, music has become an important part of human life. In several studies, humans listen to music for several reasons, one of them being as an emotion controller. However, only a few studies are made to examine the relationship between musical style preferences and the emotions they evoke when they hear the music. This study would like to determine whether musical style preferences affect the emotions felt when hearing the music. We conducted this research by creating a web application that retrieves data from the data set, and then participants will fill in several questions in the web application. From the data that has been collected with a total of 140 participants, 84 male participants and 56 female participants, the data were processed using SPSS with the Cramer's V method. When compared for both gender, musical style preferences have a weak or no relationship with human emotion with a yield of p < 0.001. From the overall data, it can be said that musical style preferences have a weak or no relationship with human emotions.","PeriodicalId":123775,"journal":{"name":"2022 2nd International Conference on Information Technology and Education (ICIT&E)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115778979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0