Christos Papakostas, C. Troussas, Akrivi Krouska, C. Sgouropoulou
{"title":"On the Development of a Personalized Augmented Reality Spatial Ability Training Mobile Application","authors":"Christos Papakostas, C. Troussas, Akrivi Krouska, C. Sgouropoulou","doi":"10.3233/faia210078","DOIUrl":"https://doi.org/10.3233/faia210078","url":null,"abstract":"Augmented Reality has been integrated in educational settings in the field of engineering. Prior research has examined the learning outcomes and the pedagogical affordances of this technology. However, training undergraduate engineers, from diverse knowledge level, requires customized training approach, tailored to the individual learning pace. In this paper, we present PARSAT (Personalized Augmented Reality Spatial Ability Training), which is a mobile Augmented Reality application for the enhancement of students’ spatial visualization skills. The application takes into account the theoretical contents of engineering design, deployed through video tutorials, and student-computer interaction with 3D objects. Students interpret different views of a 3D object, which are represented on their mobile screen. PARSAT efficaciously strengthens students’ recognition of spatial structures and views, adjusted to the fulfillment of their personal needs. In terms of personalization, PARSAT consists of different levels, which do not follow a linear flow, as each student takes part in a different sequence of activities, according to their time spent in the 3D object manipulation, and their assessment scores at the end of each level. Furthermore, an agent is used to analyze students’ knowledge level, and send them feedback. The system reduces unnecessary cognitive load and, at the same time, improves students learning experience in learning engineering drawing.","PeriodicalId":234167,"journal":{"name":"International Conference on Novelties in Intelligent Digital Systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122230953","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}
Christos Kampouris, P. Azariadis, Vasilis C. Moulianitis
{"title":"A Methodology for Assessing the Impact of Error Components in Gait Analysis Using Closed-Loop Testing on a Biomimetic Rig","authors":"Christos Kampouris, P. Azariadis, Vasilis C. Moulianitis","doi":"10.3233/faia210071","DOIUrl":"https://doi.org/10.3233/faia210071","url":null,"abstract":"Scientific gait analysis methods aim to offer objective measurements, to assist physicians towards an accurate diagnosis or pre-diagnosis of ailments before they actually manifest through noticeable symptoms. This paper reviews selected gait analysis system technologies, trends, applications and discusses errors and precision in spatial and angular readings. Furthermore, we propose a novel test and calibration method using a biomimetic rig. To illustrate this, we conduct three tests on an optical single-camera gait analysis system based on a mobile android smart-phone with specially developed software.","PeriodicalId":234167,"journal":{"name":"International Conference on Novelties in Intelligent Digital Systems","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133965611","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}
Akrivi Krouska, C. Troussas, Filippos Giannakas, C. Sgouropoulou, I. Voyiatzis
{"title":"Enhancing the Effectiveness of Intelligent Tutoring Systems Using Adaptation and Cognitive Diagnosis Modeling","authors":"Akrivi Krouska, C. Troussas, Filippos Giannakas, C. Sgouropoulou, I. Voyiatzis","doi":"10.3233/faia210073","DOIUrl":"https://doi.org/10.3233/faia210073","url":null,"abstract":"This paper presents a novel framework for developing educational hypermedia systems incorporating adaptation techniques and tailored feedback. In particular, the adaptation techniques refers to the content presentation; where the system hides/displays information according to students’ knowledge level and learning goals, and to the navigation design; where the system proposes the learning path that is better to be followed based on their profile. Finally, the framework embodies a diagnostic model that analyzes the students’ misconceptions and provides tailored feedback and advices on bridging students’ knowledge gap. This framework aims to enhance the effectiveness of learning process, increasing student engagement through the adaptive content and navigation and improving student performance through the tailored feedback.","PeriodicalId":234167,"journal":{"name":"International Conference on Novelties in Intelligent Digital Systems","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134176322","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}
Efstratios Kontellis, C. Troussas, Akrivi Krouska, C. Sgouropoulou
{"title":"Real-Time Face Mask Detector Using Convolutional Neural Networks Amidst COVID-19 Pandemic","authors":"Efstratios Kontellis, C. Troussas, Akrivi Krouska, C. Sgouropoulou","doi":"10.3233/faia210102","DOIUrl":"https://doi.org/10.3233/faia210102","url":null,"abstract":"The COVID-19 pandemic provoked many changes in our everyday life. For instance, wearing protective face masks has become a new norm and is an essential measure, having been imposed by countries worldwide. As such, during these times, people must wear masks to enter buildings. In view of this compelling need, the objective of this paper is to create a real-time face mask detector that uses image recognition technology to identify: (i) if it can detect a human face in a video stream and (ii) if the human face, which was detected, was wearing an object that it looked like a face mask and if it was properly worn. Our face mask detection model is using OpenCV Deep Neural Network (DNN), TensorFlow and MobileNetV2 architecture as an image classifier and after training, achieved 99.64% of accuracy.","PeriodicalId":234167,"journal":{"name":"International Conference on Novelties in Intelligent Digital Systems","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131698987","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}
N. Bakalos, Iason Katsamenis, Eleni Eirini Karolou, N. Doulamis
{"title":"Unsupervised Man Overboard Detection Using Thermal Imagery and Spatiotemporal Autoencoders","authors":"N. Bakalos, Iason Katsamenis, Eleni Eirini Karolou, N. Doulamis","doi":"10.3233/faia210103","DOIUrl":"https://doi.org/10.3233/faia210103","url":null,"abstract":"Man overboard incidents in a maritime vessel are serious accidents where the rapid detection of the even is crucial for the safe retrieval of the person. To this end, the use of deep learning models as automatic detectors of these scenarios has been tested and proven efficient, however, the use of correct capturing methods is imperative in order for the learning framework to operate well. Thermal data can be a suitable method of monitoring, as they are not affected by illumination changes and are able to operate in rough conditions, such as open sea travel. We investigate the use of a convolutional autoencoder trained over thermal data, as a mechanism for the automatic detection of man overboard scenarios. Morever, we present a dataset that was created to emulate such events and was used for training and testing the algorithm.","PeriodicalId":234167,"journal":{"name":"International Conference on Novelties in Intelligent Digital Systems","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117100440","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}
{"title":"Novelties in Intelligent Digital Systems - Proceedings of the 1st International Conference (NiDS 2021), Athens, Greece, September 30 - October 1, 2021","authors":"","doi":"10.3233/faia338","DOIUrl":"https://doi.org/10.3233/faia338","url":null,"abstract":"The proceedings contain 30 papers. The topics discussed include: an alternative educational tool through interactive software over Facebook in the era of COVID-19;a methodology for assessing the impact of error components in gait analysis using closed-loop testing on a biomimetic rig;development of an innovative learning methodology aiming to optimize learners’ spatial conception in an online mechanical CAD module during COVID-19 pandemic;enhancing the effectiveness of intelligent tutoring systems using adaptation and cognitive diagnosis modeling;ambient intelligence and smart environments: a preliminary overview;virtual reality tool for rehabilitation of patients with Parkinson’s disease: a conceptual design review;toward personalizing Alzheimer’s disease therapy using an intelligent cognitive control system;on the development of a personalized augmented reality spatial ability training mobile application;and zoo therapy for Alzheimer’s disease with real-time speech instruction and neurofeedback system.","PeriodicalId":234167,"journal":{"name":"International Conference on Novelties in Intelligent Digital Systems","volume":"356 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122036167","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}
C. Troussas, Akrivi Krouska, Filippos Giannakas, C. Sgouropoulou, I. Voyiatzis
{"title":"An Alternative Educational Tool Through Interactive Software over Facebook in the Era of COVID-19","authors":"C. Troussas, Akrivi Krouska, Filippos Giannakas, C. Sgouropoulou, I. Voyiatzis","doi":"10.3233/faia210069","DOIUrl":"https://doi.org/10.3233/faia210069","url":null,"abstract":"During the COVID-19 period, education has been required to reform and adapt to a modern, imposed paradigm in which all of its activities must be delivered in a completely digital format. As a result, in light of this pressing need, educational institutions should either repurpose existing facilities, such as learning management systems, or develop new online education options in a timely manner. In view of the above, this paper proposes an alternative educational tool over Facebook by exploiting the technology of social networking. This Facebook-based application was used as the sole platform for supporting asynchronous learning of high school students in the tutoring of mathematics during the COVID-19 lockdown. This modern educational approach through Facebook encompasses interactive software which involves an e-class environment with social characteristics, multimedia-based learning material delivery and learning activities and assessment of different types. The presented Facebook-based interactive educational software has been evaluated by school students with very encouraging results.","PeriodicalId":234167,"journal":{"name":"International Conference on Novelties in Intelligent Digital Systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122935078","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}
{"title":"Ontology Reasoning for Explanatory Feedback Generation to Teach How Algorithms Work","authors":"A. Anikin, O. Sychev, M. Denisov","doi":"10.3233/faia210100","DOIUrl":"https://doi.org/10.3233/faia210100","url":null,"abstract":"Developing algorithms using control structures and understanding their building blocks are essential skills in mastering programming. Ontologies and software reasoning is a promising method for developing intelligent tutoring systems in well-defined domains (like programming languages and algorithms); it can be used for many kinds of teaching tasks. In this work, we used a formal model consisting of production rules for Apache Jena reasoner as a basis for developing a constraint-based tutor for introductory programming domain. The tutor can determine fault reasons for any incorrect answer that a student can enter. The problem the student should solve is building an execution trace for the given algorithm. The problem is a closed-ended question that requires arranging given actions in the (unique) correct order; some actions can be used several times, while others can be omitted. Using formal reasoning to check domain constraints allowed us to provide explanatory feedback for all kinds of errors students can make.","PeriodicalId":234167,"journal":{"name":"International Conference on Novelties in Intelligent Digital Systems","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132448290","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}
Andreas Marougkas, C. Troussas, Akrivi Krouska, C. Sgouropoulou
{"title":"A Framework for Personalized Fully Immersive Virtual Reality Learning Environments with Gamified Design in Education","authors":"Andreas Marougkas, C. Troussas, Akrivi Krouska, C. Sgouropoulou","doi":"10.3233/faia210080","DOIUrl":"https://doi.org/10.3233/faia210080","url":null,"abstract":"Traditional learning methods frequently fail to provoke students’ interest, stimulate their enjoyment and encourage them to participate in learning activities, resulting in discomfort, distractions, and disengagement, if not quitting. Education’s goal is to improve the quality and effectiveness of teaching and learning methods. This paper aims to present a framework based on Virtual Reality (VR) technology and contemporary Head Mounted Displays, that incorporates game-based techniques and adaptive design according to the student’s profile. As a result, this paper analyzes the relevant literature, the VR apparatus, the importance of VR, as well as gamification, personalization and adaptive design in education, which are the learning foundations on which the framework is based. Finally, the framework’s modules and structure are presented, taking into account all of the previously mentioned parameters. This novel framework aspires to serve as a basis for educational applications that use immersive Virtual Reality technologies to transform learning procedures into entertaining, engaging, enjoyable, and effective experiences.","PeriodicalId":234167,"journal":{"name":"International Conference on Novelties in Intelligent Digital Systems","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125150563","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}
Charalampos Zafeiropoulos, Ioannis N. Tzortzis, I. Rallis, Eftychios E. Protopapadakis, N. Doulamis, A. Doulamis
{"title":"Evaluating the Usefulness of Unsupervised monitoring in Cultural Heritage Monuments","authors":"Charalampos Zafeiropoulos, Ioannis N. Tzortzis, I. Rallis, Eftychios E. Protopapadakis, N. Doulamis, A. Doulamis","doi":"10.3233/faia210086","DOIUrl":"https://doi.org/10.3233/faia210086","url":null,"abstract":"In this paper, we scrutinize the effectiveness of various clustering techniques, investigating their applicability in Cultural Heritage monitoring applications. In the context of this paper, we detect the level of decomposition and corrosion on the walls of Saint Nicholas fort in Rhodes utilizing hyperspectral images. A total of 6 different clustering approaches have been evaluated over a set of 14 different orthorectified hyperspectral images. Experimental setup in this study involves K-means, Spectral, Meanshift, DBSCAN, Birch and Optics algorithms. For each of these techniques we evaluate its performance by the use of performance metrics such as Calinski-Harabasz, Davies-Bouldin indexes and Silhouette value. In this approach, we evaluate the outcomes of the clustering methods by comparing them with a set of annotated images which denotes the ground truth regarding the decomposition and/or corrosion area of the original images. The results depict that a few clustering techniques applied on the given dataset succeeded decent accuracy, precision, recall and f1 scores. Eventually, it was observed that the deterioration was detected quite accurately.","PeriodicalId":234167,"journal":{"name":"International Conference on Novelties in Intelligent Digital Systems","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128261343","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}