Adv. Hum. Comput. Interact.最新文献_第2页

A Comprehensive Study on Metaverse and Its Impacts on Humans 超宇宙及其对人类影响的综合研究

Adv. Hum. Comput. Interact. Pub Date : 2022-09-19 DOI: 10.1155/2022/3247060

Ajay Sudhir Bale, Naveen Ghorpade, Muhammed Furqaan Hashim, Jatin Vaishnav, Z. Almaspoor

引用次数: 26

Facial Expression Recognition Using a Novel Modeling of Combined Gray Local Binary Pattern 基于灰色局部二值组合模式的面部表情识别

Adv. Hum. Comput. Interact. Pub Date : 2022-09-15 DOI: 10.1155/2022/6798208

An Hoa Ton-That, Nhan T. Cao

{"title":"Facial Expression Recognition Using a Novel Modeling of Combined Gray Local Binary Pattern","authors":"An Hoa Ton-That, Nhan T. Cao","doi":"10.1155/2022/6798208","DOIUrl":"https://doi.org/10.1155/2022/6798208","url":null,"abstract":"Facial Expression Recognition (FER) is an active research field at present. Deep learning is a good method that is widely used in this field but it has extreme hardware requirements and it is hard to apply in normal terminal devices. So, many other methods are being researched to apply FER in such devices and systems. This work proposes fresh modeling of Combined Gray Local Binary Pattern (CGLBP) for extracting features in facial expression recognition to enhance the recognition rate that can apply FER in the kind of devices and systems. The work included the main steps such as the technique of cropping an input face image from a camera or dataset, the approach of dividing face images into nonoverlap regions for extracting LBP features, applying the fresh modeling of Combined Gray Local Binary Pattern (CGLBP) for extracting features, using uniform feature to reduce the lengths of descriptors, and finally using Support Vector Machine (SVM) for emotion classification. Four popular facial emotion datasets are used in experiments and their results demonstrate that the recognition rate of the proposed method is better in comparison with two types of existent features: Local Binary Pattern (LBP) and Combined Local Binary Pattern (CLBP). The accuracy of experiments performed on four facial expression datasets with different sizes is from about 95% to more than 99%.","PeriodicalId":192934,"journal":{"name":"Adv. Hum. Comput. Interact.","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124687493","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

A Delphi Evaluation of User Interface Design Guidelines: The Case of Arabic 用户界面设计指南的德尔菲评价:以阿拉伯语为例

Adv. Hum. Comput. Interact. Pub Date : 2022-09-14 DOI: 10.1155/2022/5492230

Ahmed Al-Sa’di, H. Al-Samarraie

引用次数: 4

Usability Evaluation of Educational Games: An Analysis of Culture as a Factor Affecting Children's Educational Attainment 教育游戏的可用性评价:文化因素对儿童教育成就的影响分析

Adv. Hum. Comput. Interact. Pub Date : 2022-08-22 DOI: 10.1155/2022/9427405

M. Alshar'e, A. Al-Badi, Malik Jawarneh, Noman Tahir, Marya Al Amri

{"title":"Usability Evaluation of Educational Games: An Analysis of Culture as a Factor Affecting Children's Educational Attainment","authors":"M. Alshar'e, A. Al-Badi, Malik Jawarneh, Noman Tahir, Marya Al Amri","doi":"10.1155/2022/9427405","DOIUrl":"https://doi.org/10.1155/2022/9427405","url":null,"abstract":"Educational games have been employed among Omani schools but those used by local Omani schools were imported and were mostly designed based on western contexts. For Omani children, these games may be culturally inappropriate and difficult to comprehend and follow, impeding children’s learning. Three questionnaires and one observational checklist were used to gather data from 40 respondents (observers). SPSS was used in data analysis. Through experiments, the behavior of Omani students towards the use of imported educational games was examined. Five main factors, namely, efficiency, learnability, memorability, errors, and satisfaction, of educational games for a target user were measured using Hybrid User Evaluation Methodology for Remote Evaluation (HUEMRE), Training Framework for Untrained Observer (TFUO), and Framework on Educational Games Behavior Intention (EGsBI), which are specifically designed frameworks for this purpose. The results of this study explained that the Omani children are facing difficulties in using the imported educational games; furthermore, this study proves that culture, language, animation, and interaction are contributing heavily to benefiting from educational games, and, therefore, these factors shall be highly considered in the process of educational games design to facilitate and ensure children learning; furthermore, the findings of this study enrich the comprehension of how the specified factors positively affect behavioral intention of Omani students in the use of educational games and in improving the behavior intention level of these students.","PeriodicalId":192934,"journal":{"name":"Adv. Hum. Comput. Interact.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116786442","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: 4

A Comparative Study of Some Automatic Arabic Text Diacritization Systems 几种阿拉伯语文本自动变音符系统的比较研究

Adv. Hum. Comput. Interact. Pub Date : 2022-08-16 DOI: 10.1155/2022/3613710

Ali Mijlad, Yacine El Younoussi

引用次数: 1

Multiclass Classification of Imagined Speech Vowels and Words of Electroencephalography Signals Using Deep Learning 基于深度学习的脑电信号想象语音元音和词的多类分类

Adv. Hum. Comput. Interact. Pub Date : 2022-07-20 DOI: 10.1155/2022/1374880

Nrushingh Charan Mahapatra, Prachet Bhuyan

{"title":"Multiclass Classification of Imagined Speech Vowels and Words of Electroencephalography Signals Using Deep Learning","authors":"Nrushingh Charan Mahapatra, Prachet Bhuyan","doi":"10.1155/2022/1374880","DOIUrl":"https://doi.org/10.1155/2022/1374880","url":null,"abstract":"The paper’s emphasis is on the imagined speech decoding of electroencephalography (EEG) neural signals of individuals in accordance with the expansion of the brain-computer interface to encompass individuals with speech problems encountering communication challenges. Decoding an individual’s imagined speech from nonstationary and nonlinear EEG neural signals is a complex task. Related research work in the field of imagined speech has revealed that imagined speech decoding performance and accuracy require attention to further improve. The evolution of deep learning technology increases the likelihood of decoding imagined speech from EEG signals with enhanced performance. We proposed a novel supervised deep learning model that combined the temporal convolutional networks and the convolutional neural networks with the intent of retrieving information from the EEG signals. The experiment was carried out using an open-access dataset of fifteen subjects’ imagined speech multichannel signals of vowels and words. The raw multichannel EEG signals of multiple subjects were processed using discrete wavelet transformation technique. The model was trained and evaluated using the preprocessed signals, and the model hyperparameters were adjusted to achieve higher accuracy in the classification of imagined speech. The experiment results demonstrated that the multiclass imagined speech classification of the proposed model exhibited a higher overall accuracy of 0.9649 and a classification error rate of 0.0350. The results of the study indicate that individuals with speech difficulties might well be able to leverage a noninvasive EEG-based imagined speech brain-computer interface system as one of the long-term alternative artificial verbal communication mediums.","PeriodicalId":192934,"journal":{"name":"Adv. Hum. Comput. Interact.","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129690181","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: 2

Full Diacritization of the Arabic Text to Improve Screen Readers for the Visually Impaired 阿拉伯语文本的全变音符以改善视障人士的屏幕阅读器

Adv. Hum. Comput. Interact. Pub Date : 2022-07-18 DOI: 10.1155/2022/1186678

Batool Abuali, MOHAMAD-BASSAM KURDY

{"title":"Full Diacritization of the Arabic Text to Improve Screen Readers for the Visually Impaired","authors":"Batool Abuali, MOHAMAD-BASSAM KURDY","doi":"10.1155/2022/1186678","DOIUrl":"https://doi.org/10.1155/2022/1186678","url":null,"abstract":"This paper aims to find the relationship between the full diacritization of the Arabic text and the quality of the speech synthesized in screen readers and presents a new methodology to develop screen readers for the visually impaired, focusing on preprocessing and diacritization of the text before converting it to audio. First, the actual need for our proposal was measured by conducting a MOS (Mean Opinion Score) questionnaire to evaluate the quality of the speech synthesized before and after full diacritization in the NVDA (https://www.nvda-ar.org/) screen reader. Then, an e-reader was built by integrating two models: the first one is for automatic Arabic diacritization (depending on Shakkala), and the second is a TTS model (depending on Tacotron). The quality of our proposed system was measured in terms of (1) pronunciation and (2) intelligibility, in which our system outperformed the commercial screen readers, NVDA and IBSAR (https://www.sakhr.com), as it recorded 60.67%, 17.67%, and 21.67% as correct, incorrect, and partially correct, respectively, for the isolated word test, and 84% correct results for the homograph test, and 78.50% and 93% correct results, respectively, for the DRT and DMRT tests.","PeriodicalId":192934,"journal":{"name":"Adv. Hum. Comput. Interact.","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129868632","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: 1

Midair Gestural Techniques for Translation Tasks in Large-Display Interaction 大屏幕交互中翻译任务的空中手势技术

Adv. Hum. Comput. Interact. Pub Date : 2022-07-09 DOI: 10.1155/2022/9362916

V. Remizova, Y. Gizatdinova, Veikko Surakka

{"title":"Midair Gestural Techniques for Translation Tasks in Large-Display Interaction","authors":"V. Remizova, Y. Gizatdinova, Veikko Surakka","doi":"10.1155/2022/9362916","DOIUrl":"https://doi.org/10.1155/2022/9362916","url":null,"abstract":"Midair gestural interaction has gained a lot of attention over the past decades, with numerous attempts to apply midair gestural interfaces with large displays (and TVs), interactive walls, and smart meeting rooms. These attempts, reviewed in numerous studies, utilized differing gestural techniques for the same action making them inherently incomparable, which further makes it difficult to summarize recommendations for the development of midair gestural interaction applications. Therefore, the aim was to take a closer look at one common action, translation, that is defined as dragging (or moving) an entity to a predefined target position while retaining the entity’s size and rotation. We compared performance and subjective experiences (participants = 30) of four midair gestural techniques (i.e., by fist, palm, pinch, and sideways) in the repetitive translation of 2D objects to short and long distances with a large display. The results showed statistically significant differences in movement time and error rate favoring translation by palm over pinch and sideways at both distances. Further, fist and sideways gestural techniques showed good performances, especially at short and long distances correspondingly. We summarize the implications of the results for the design of midair gestural interfaces, which would be useful for interaction designers and gesture recognition researchers.","PeriodicalId":192934,"journal":{"name":"Adv. Hum. Comput. Interact.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124781304","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

Participant Observation to Apply an Empirical Method of Codesign with Children 参与观察应用与儿童共同设计的经验方法

Adv. Hum. Comput. Interact. Pub Date : 2022-07-09 DOI: 10.1155/2022/1101847

M. C. Romero-Ternero, R. Robles, D. Cagigas-Muñiz, O. Rivera-Romero, M. J. Romero-Ternero

引用次数: 1

Infrared Thermal Image Gender Classifier Based on the Deep ResNet Model 基于Deep ResNet模型的红外热图像性别分类器

Adv. Hum. Comput. Interact. Pub Date : 2022-07-08 DOI: 10.1155/2022/3852054

Alyaa J. Jalil, Naglaa M. Reda

引用次数: 4