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Author Dragos Datcu; Leon J.M. Rothkrantz
Title The use of active appearance model for facial expression recognition in crisis environments Type Conference Article
Year 2007 Publication Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers Abbreviated Journal ISCRAM 2007
Volume Issue Pages 515-524
Keywords Face recognition; Gesture recognition; Active appearance models; Automatic evaluation; Automatic facial expression recognition; Computer vision techniques; Context-aware systems; Crisis management systems; Facial expression recognition; Human computer interfaces; Human computer interaction
Abstract In the past a crisis event was notified by local witnesses that use to make phone calls to the special services. They reported by speech according to their observation on the crisis site. The recent improvements in the area of human computer interfaces make possible the development of context-aware systems for crisis management that support people in escaping a crisis even before external help is available at site. Apart from collecting the people's reports on the crisis, these systems are assumed to automatically extract useful clues during typical human computer interaction sessions. The novelty of the current research resides in the attempt to involve computer vision techniques for performing an automatic evaluation of facial expressions during human-computer interaction sessions with a crisis management system. The current paper details an approach for an automatic facial expression recognition module that may be included in crisis-oriented applications. The algorithm uses Active Appearance Model for facial shape extraction and SVM classifier for Action Units detection and facial expression recognition.
Address Man-Machine Interaction Group, Delft University of Technology, 2628 CD, Delft, Netherlands
Corporate Author Thesis
Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Delft Editor B. Van de Walle, P. Burghardt, K. Nieuwenhuis
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9789054874171; 9789090218717 Medium
Track EMOT Expedition Conference 4th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 425
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Author Julie Dugdale; Bernard Pavard; Nico Pallamin; Mehdi El Jed; Laurent Maugan
Title Emergency fire incident training in a virtual world Type Conference Article
Year 2004 Publication Proceedings of ISCRAM 2004 – 1st International Workshop on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2004
Volume Issue Pages 167-172
Keywords Information systems; Virtual reality; Emotional expressions; Fire fighting; Human interactions; Real-time motion; Training simulation; Training simulator; Virtual interactions; Virtual reality training; E-learning
Abstract The effectiveness of 'close to reality' training simulations is due to the fact that they provide a sense of immersion and allow several participants to interact naturally. However, they are expensive, time-consuming, difficult to organise and have a limited scope. We present a virtual reality training simulator which overcomes these disadvantages. We describe the approach and methodology and conclude with a discussion of the most crucial challenges when developing such a system. In this paper we would like to introduce the notion of cultural technologies which produce a sense of social as well as cultural immersion. We will discuss the main ingredients of such an immersion, in particular the notion of situated virtual interaction (how interactions in a virtual world can be comparable with human interactions in real situations). We also discuss on the role of interfaces (real time motion capture) and emotional expression in the design of such environments. © Proceedings ISCRAM 2004.
Address GRIC – IRIT (Cognitive Engineering Research Group – Computer Science Research Institute of Toulouse), UPS-CNRS (UMR 5505), Toulouse, France; EDIS (Ecole Departemental D'Incendie et de Secours), Departmental School of Fire and Rescue, 11, Avenue des Peupliers, 91705 Fleury-Merogis, France
Corporate Author Thesis
Publisher Royal Flemish Academy of Belgium Place of Publication Brussels Editor B. Van de Walle, B. Carle
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9076971080 Medium
Track Emergency Response Simulation and Training Systems Expedition Conference 1st International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 104
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Author Siska Fitrianie; Ronald Poppe; Trung H. Bui; Alin Gavril Chitu; Dragos Datcu; Ramón Dor; Denis Hofs; Pascal Wiggers; Don J.M. Willems; Mannes Poel; Leon J.M. Rothkrantz; Louis G. Vuurpijl; Job Zwiers
Title A multimodal human-computer interaction framework for research into crisis management Type Conference Article
Year 2007 Publication Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers Abbreviated Journal ISCRAM 2007
Volume Issue Pages 149-158
Keywords Character recognition; Communication systems; Disasters; Human computer interaction; Speech recognition; Communication modalities; Evaluation methods; Facial Expressions; Multi-modal information; Multimodal human computer interaction; Multimodal system; Rescue simulation; Technological aspects; Face recognition
Abstract Unreliable communication networks, chaotic environments and stressful conditions can make communication during crisis events difficult. The current practice in crisis management can be improved by introducing ICT systems in the process. However, much experimentation is needed to determine where and how ICT can aid. Therefore, we propose a framework in which predefined modules can be connected in an ad hoc fashion. Such a framework allows for rapid development and evaluation of such ICT systems. The framework offers recognition of various communication modalities including speech, lip movement, facial expression, handwriting and drawing, body gesture, text and visual symbols. It provides mechanisms to fuse these modalities into a context dependent interpretation of the current situation and generate appropriate the multimodal information responses. The proposed toolbox can be used as part of a disaster and rescue simulation. We propose evaluation methods, and focus on the technological aspects of our framework.
Address Man-Machine Interaction Group, Delft University of Technology, Netherlands; Human Media Interaction Group, University of Twente, Netherlands; Nijmegen Institute for Cognition and Information, Radboud University Nijmegen, Netherlands
Corporate Author Thesis
Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Delft Editor B. Van de Walle, P. Burghardt, K. Nieuwenhuis
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9789054874171; 9789090218717 Medium
Track HCIS Expedition Conference 4th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 497
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Author Stephen C. Fortier; Ioannis M. Dokas
Title Setting the specification framework of an Early Warning System using IDEF0 and information modeling Type Conference Article
Year 2008 Publication Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2008
Volume Issue Pages 441-450
Keywords Disasters; Facilities; Information systems; Information theory; Information use; Sensors; Specifications; Systems engineering; Analysis; Data collection; Early Warning System; Express; IDEF0 modeling; Information Modeling; Material recovery facilities; Requirements; Sadt; Alarm systems
Abstract Our goal is to develop an Early Warning System for an engineering system with a special interest in applying this to a material recovery facility. This on-going research points out that there is no clear definition of what Early Warning Systems are. A literature search for Early Warning Systems identifies hundred of thousands hits (Buchanan-Smith, 1999; Davies, Buchanan-Smith, Lambert, 1991). Almost all of the references had to do with financial systems for third world countries, tracking the destructive nature of violent conflicts that led to human suffering, or systems for syndromic surveillance. The goal of our research, and of this paper, is to define a framework for creating a specification that can be considered as the basis for the development of any Early Warning System-specifically for engineering systems. Therefore, we will describe Early Warning Systems and its requirements and specifications. Based on specification patterns, we have developed an abstract model of an Early Warning System; and developed an IDEF0 model of a material recovery facility that provides the framework for specifying an Early Warning System. The Early Warning System is then specified using information modeling.
Address George Washington University, School of Engineering and Applied Science, Washington, DC, United States; Cork Constrained Computation Centre, University College Cork, Cork, Ireland
Corporate Author Thesis
Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Washington, DC Editor F. Fiedrich, B. Van de Walle
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780615206974 Medium
Track Early Warning Systems Expedition Conference 5th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 503
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Author Takuya Oki
Title Possibility of Using Tweets to Detect Crowd Congestion: A Case Study Using Tweets just before/after the Great East Japan Earthquake Type Conference Article
Year 2018 Publication ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2018
Volume Issue Pages 584-596
Keywords Twitter, crowd congestion, time-series analysis, linguistic expression, disaster mitigation.
Abstract During large earthquakes, it is critical to safely guide evacuation efforts and to prevent accidents caused by congestion. In this paper, we focus on detecting the degree of crowd congestion following an earthquake based on information posted to Social Networking Services (SNSs). This research uses text data posted to Twitter just before/after the occurrence of the Great East Japan Earthquake (11 March 2011 at 02:46 PM JST). First, we extract co-occurring place names, proper nouns, and time-series information from tweets about congestion in the Tokyo metropolitan area (TMA). Next, using these extracted data, we analyze the frequency and spatiotemporal characteristics of these tweets. Finally, we identify expressions that describe the degree of crowd congestion and discuss methods to quantify these expressions based on a questionnaire survey and tweets that contain a photograph.
Address
Corporate Author Thesis
Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium
Track Social Media Studies Expedition Conference ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 2133
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