2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)最新文献_第6页

Finger tracking and hand recognition technologies in virtual reality maritime safety training applications 手指跟踪和手部识别技术在虚拟现实海上安全培训中的应用

2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom) Pub Date : 2020-09-23 DOI: 10.1109/CogInfoCom50765.2020.9237915

E. Markopoulos, P. Markopoulos, Niko Laivuori, Christos Moridis, Mika Luimula

{"title":"Finger tracking and hand recognition technologies in virtual reality maritime safety training applications","authors":"E. Markopoulos, P. Markopoulos, Niko Laivuori, Christos Moridis, Mika Luimula","doi":"10.1109/CogInfoCom50765.2020.9237915","DOIUrl":"https://doi.org/10.1109/CogInfoCom50765.2020.9237915","url":null,"abstract":"The competitiveness and development of the maritime sector together with the continuous effort on increasing operations performance while reducing operations costs, drives the needs for on-board effective and qualitative training safety related issues. Virtual reality (VR) has been considered by classification societies and training organizations as a technology that can significantly improve seafarer's performance and competence with the adaptation of maritime applications developed for design simulation and gaming. This paper presents the evolution of the MarSEVR (Maritime Safety Education with VR) technology as a new concept and technology by integrating finger tracking and hand recognition technologies that increase immersiveness and user engagement within the MarISOT technology, a Green Ocean innovation composed of VR safety applications. The paper approaches this integration by addressing game design, pedagogic and cognitive neuroscience principles and challenges on the use of hand recognition and finger tracking in the MarSEVR learning episodes.","PeriodicalId":236400,"journal":{"name":"2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128874612","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: 12

A Presentation Room in the Virtual Building of the First National Theater of Hungary 匈牙利第一国家剧院虚拟大楼的展示厅

2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom) Pub Date : 2020-09-23 DOI: 10.1109/CogInfoCom50765.2020.9237828

A. Gilányi, Anna Rácz, Anna Mária Bólya, János Décsei, K. Chmielewska

引用次数: 6

On Uncertainty and the ‘Space-Time-Information’ Continuum : The role of the Probabilist and/or Philostochus 论不确定性和“时空-信息”连续体:概率学家和/或菲洛斯托克的作用

2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom) Pub Date : 2020-09-23 DOI: 10.1109/CogInfoCom50765.2020.9237902

P. Várlaki, P. Baranyi

引用次数: 0

3D webspace VS 2D website 3D网站空间VS 2D网站

2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom) Pub Date : 2020-09-23 DOI: 10.1109/CogInfoCom50765.2020.9237898

Dániel Kiss, P. Baranyi

引用次数: 0

Measuring Virtual Rotation Skills in MaxWhere 在MaxWhere中测量虚拟旋转技能

2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom) Pub Date : 2020-09-23 DOI: 10.1109/CogInfoCom50765.2020.9237889

Á. Csapó, A. Sudar, Borbála Berki, Bence Gergely, Blanka Berényi, Csaba Czabán

引用次数: 2

Detecting outliers and anomalies to prevent failures and accidents in Industry 4.0 检测异常值和异常情况，以防止工业4.0中的故障和事故

2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom) Pub Date : 2020-09-23 DOI: 10.1109/CogInfoCom50765.2020.9237903

Dávid Sik, J. Levendovszky

{"title":"Detecting outliers and anomalies to prevent failures and accidents in Industry 4.0","authors":"Dávid Sik, J. Levendovszky","doi":"10.1109/CogInfoCom50765.2020.9237903","DOIUrl":"https://doi.org/10.1109/CogInfoCom50765.2020.9237903","url":null,"abstract":"Due to the rapid development of IT and sensorial technologies in the previous decade, the fourth industrial revolution, Industry 4.0 has become a reality. Many new terminologies and approaches were introduced in this concept. Combined with the new technologies and advantages of the 5G telecommunication networks it is possible to gain much faster response times over a reliable infrastructure which paves the way towards efficient industrial control. Based on historical datasets and using the knowledge of the domain specific experts it is possible to label those records with the corresponding key performance indicators which stand out as anomalies or outliers from the normal operation behavior. This paper is concerned with developing new algorithms for fast identification of outliers, which ensure high operational reliability. Our approach is statistical driven, once the usually high dimensional data is mapped into a low dimension for tractable analysis, outliers are captured by statistical decision techniques. As the corresponding numerical analysis performed on industrial data has demonstrated, the method has a reliable performance. Thus, the new methods can prove to be appropriate tools for industrial control in Industry 4.0 environment.","PeriodicalId":236400,"journal":{"name":"2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116052529","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

A Statistical Modeling Method for Road Recognition in Traffic Video Analytics 交通视频分析中道路识别的统计建模方法

2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom) Pub Date : 2020-09-23 DOI: 10.1109/CogInfoCom50765.2020.9237905

Hang Shi, Hadi Ghahremannezhad, Chengjun Liu

{"title":"A Statistical Modeling Method for Road Recognition in Traffic Video Analytics","authors":"Hang Shi, Hadi Ghahremannezhad, Chengjun Liu","doi":"10.1109/CogInfoCom50765.2020.9237905","DOIUrl":"https://doi.org/10.1109/CogInfoCom50765.2020.9237905","url":null,"abstract":"A novel statistical modeling method is presented to solve the automated road recognition problem for the region of interest (RoI) detection in traffic video cognition. First, a temporal feature guided statistical modeling method is proposed for road modeling. Specifically, a foreground detection method is applied to extract the temporal features from the video and then to estimate a background image. Furthermore, the temporal features guide the statistical modeling method to select sample data. Additionally, a model pruning strategy is applied to estimate the road model. Second, a new road region detection method is presented to detect the road regions in the video. The method applies discrimination functions to classify each pixel in the estimated background image into a road class or a non-road class, respectively. The proposed method provides an intra-cognitive communication mode between the ROI selection and video analysis systems. Experimental results using real traffic videos from the New Jersey Department of Transportation (NJDOT) show that the proposed method is able to (i) detect the road region accurately and robustly and (ii) improve upon the state-of-the-art road recognition methods.","PeriodicalId":236400,"journal":{"name":"2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115247097","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

The notion of immersion in virtual reality literature and related sources 沉浸的概念在虚拟现实文献和相关来源

2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom) Pub Date : 2020-09-23 DOI: 10.1109/CogInfoCom50765.2020.9237875

B. Szabó, A. Gilányi

{"title":"The notion of immersion in virtual reality literature and related sources","authors":"B. Szabó, A. Gilányi","doi":"10.1109/CogInfoCom50765.2020.9237875","DOIUrl":"https://doi.org/10.1109/CogInfoCom50765.2020.9237875","url":null,"abstract":"The paper gives an overview of how virtual reality (VR) literature and related sources describe the notion of immersion, its sub-types and similar terms. There are two main schools giving definitions for immersion in VR, and their definitions are quite different. One school, associated with B. Witmer and M. Singer, regards immersion as a psychological state of the user. The other school, based on the works of M. Slater, sees immersion as an objective characteristic of a VR system. Some authors call the first type of immersion “psychological immersion” and the second type “technological immersion”. The authors of the present paper bring up the possibility of using alternative terms: “immersedness” for the immersion concept of the first school, and, for that of the second school, “immersingness” (denoting the actively immersing quality of the system) and “immersing” when referring to the act of immersing the user. The term “immersedness” is unambiguous, contrary to the term “psychological immersion” which could also mean a system characteristic when the system is created with the ability to try to manipulate the user with psychological means.","PeriodicalId":236400,"journal":{"name":"2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"414 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122870135","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

A new VR paradigm to measure mental rotation 一个新的虚拟现实范式来测量心理旋转

2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom) Pub Date : 2020-09-23 DOI: 10.1109/CogInfoCom50765.2020.9237914

Anna Fanni Csincsák

引用次数: 1

Solutions, experiences in online education in Hungary and Serbia related to the situation caused by Covid-19 针对新冠疫情，匈牙利和塞尔维亚在线教育的解决方案和经验

2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom) Pub Date : 2020-09-23 DOI: 10.1109/CogInfoCom50765.2020.9237844

G. Molnár, Zsolt Namesztovszki, D. Glusac, D. Karuović, Lenke Major

引用次数: 8