Imperial College London
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Professor Rafael A. Calvo

Faculty of Engineering, Dyson School of Design Engineering

Chair in Engineering Design
 
 
 
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Contact

 

r.calvo

 
 
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Location

 

Dyson BuildingSouth Kensington Campus

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Summary

 

Publications

Publication Type
Year
to

306 results found

Calvo RA, 2010, Latent and Emergent Models in Affective Computing, EMOTION REVIEW, Vol: 2, Pages: 288-289, ISSN: 1754-0739

Journal article

Gargiulo G, Calvo RA, Bifulco P, Cesarelli M, Jin C, Mohamed A, van Schaik Aet al., 2010, A new EEG recording system for passive dry electrodes, CLINICAL NEUROPHYSIOLOGY, Vol: 121, Pages: 686-693, ISSN: 1388-2457

Journal article

Lee JM, Cho SH, Kim SD, Calvo RAet al., 2010, An improvement of flocking algorithm based on spatial subdivision method, Pages: 26-30

In this paper we present a noble flocking algorithm that yields an improvement in the execution time over the existing method based on the spatial subdivision method. One of characteristics in flocking behaviors is that two agents may share many common neighbors if they are spatially close to each other. The proposed algorithm improves the existing algorithm of the flocking behaviors by computing simultaneously the k-nearest neighbors of agents if they share many common neighbors. The performance of the proposed algorithm was compared with other method. The results of the comparisons show that the proposed algorithm outperforms the recently proposed flocking algorithm by about 31% with respect to the execution time. © 2010 The University of Wolverhampton.

Conference paper

Gargiulo G, Bifulco P, Cesarelli M, Ruffo M, Romano M, Calvo RA, Jin C, van Schaik Aet al., 2010, An ultra-high input impedance ECG amplifier for long-term monitoring of athletes, Medical Devices: Evidence and Research, Vol: 3, Pages: 1-9

We present a new, low-power electrocardiogram (ECG) recording system with an ultra-high input impedance that enables the use of long-lasting, dry electrodes. The system incorporates a low-power Bluetooth module for wireless connectivity and is designed to be suitable for long-term monitoring during daily activities. The new system using dry electrodes was compared with a clinically approved ECG reference system using gelled Ag/AgCl electrodes and performance was found to be equivalent. In addition, the system was used to monitor an athlete during several physical tasks, and a good quality ECG was obtained in all cases, including when the athlete was totally submerged in fresh water. © 2010 Gargiulo et al.

Journal article

Calvo RA, D'Mello S, 2010, Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications, IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, Vol: 1, Pages: 18-37, ISSN: 1949-3045

Journal article

Liu M, Calvo RA, Rus V, 2010, Automatic Question Generation for Literature Review Writing Support, 10th International Conference on Intelligent Tutoring Systems, Publisher: SPRINGER-VERLAG BERLIN, Pages: 45-+, ISSN: 0302-9743

Conference paper

Pour PA, Hussain MS, AlZoubi O, D'Mello S, Calvo RAet al., 2010, The Impact of System Feedback on Learners' Affective and Physiological States, 10th International Conference on Intelligent Tutoring Systems, Publisher: SPRINGER-VERLAG BERLIN, Pages: 264-+, ISSN: 0302-9743

Conference paper

Derntl M, Calvo RA, 2010, Embedding Educational Design Pattern Frameworks into Learning Management Systems, 1st International Conference on Reforming Education, Quality of Teaching and Technology-Enhanced Learning: Learning Technologies, Quality of Education, Educational Systems, Evaluation, Pedagogies, Publisher: SPRINGER-VERLAG BERLIN, Pages: 439-+, ISSN: 1865-0929

Conference paper

, 2010, Intelligent Tutoring Systems, Publisher: Springer Berlin Heidelberg, ISBN: 9783642133879

Book

Gargiulo G, Bifulco P, Calvo RA, Cesarelli M, Jin C, McEwan A, van Schaik Aet al., 2010, Non-invasive Electronic Biosensor Circuits and Systems, INTELLIGENT AND BIOSENSORS, Editors: Somerset, Publisher: INTECH EUROPE, Pages: 123-146

Book chapter

Gargiulo G, Bifulco P, McEwan A, Tehrani JN, Calvo RA, Romano M, Ruffo M, Shephard R, Cesarelli M, Jin C, Mohamed A, van Schaik Aet al., 2010, Dry electrode Bio-potential Recordings, 2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), Pages: 6493-6496, ISSN: 1557-170X

Journal article

Lee JM, Cho SH, Calvo RA, 2009, A fast algorithm for simulation of flocking behavior, Pages: 186-190

This paper proposes an algorithm to enhance the performance of the spatial partitioning method for flocking behavior. Even when a moving entity (boid) in a flock changes its direction and location, its k-nearest neighbors (kNN), which influence its decision for the next direction, seldom change. Using this fact, this paper improves the performance by finding kNN of boids efficiently. A method to check that the new kNN is not changed from the previous kNN is proposed, and the correctness of the method is proven with two theorems. In order to minimize the cost of computing the new kNN, the method checks the fact that the new kNN did not change from the previous kNN. If the new kNN is not changed, the method copies the previous kNN to the new kNN instead of computing the new kNN. The proposed algorithm was implemented and its performance was compared with the original spatial partitioning method. The results of the comparison showed that the proposed algorithm outperformed the original method by about 57.7% with respect to the number of frames per second. © 2009 IEEE.

Conference paper

Demetriadis S, Dimitriadis Y, Fischer F, Calvo R, Dillenbourg P, Grigoriadou M, Harrer A, Retalis S, Tchounikine P, Tsiatsos T, Weinberger Aet al., 2009, Scripted vs. free CS collaboration: Alternatives and paths for adaptable and flexible CS scripted collaboration

Conference paper

Southavilay V, Yacef K, Calvo RA, 2009, WriteProc: A framework for exploring collaborative writing processes, ADCS 2009 - Proceedings of the Fourteenth Australasian Document Computing Symposium, Pages: 129-136

Collaboration and particularly collaborative writing is an increasingly essential skill needed in the workplace and education. Until recently most of the focus of research has been the final product of the writing, rather than the process itself. In this paper, we propose an innovative framework for investigating collaborative writing processes. The WriteProc framework utilizes both process and text mining tools to analyze the process that groups (or individual) writers follow, and how the process correlates to the quality and semantic features of the final product. Furthermore, WriteProc is integrated with existing web 2.0 writing tools, providing full support for writing, reviewing and collaboration. We describe the architecture that integrates tools for analyzing the process and semantics of the writing. We also provide a case study on data collected from a group of undergraduate students writing collaboratively an essay, with peer reviewing and use of an automatic feedback tool.

Journal article

O'Rourke ST, Calvo RA, 2009, Visualising social networks in collaborative environments, Handbook of Research on Web 2.0, 3.0, and X.0: Technologies, Business, and Social Applications, Pages: 817-827, ISBN: 9781605663845

Social networking and other Web 2.0 applications are becoming ever more popular, with a staggering growth in the number of users and the amount of data they produce. This trend brings new challenges to the Web engineering community, particularly with regard to how we can help users make sense of all this new data. The success of collaborative work and learning environments will increasingly depend on how well they support users in integrating the data that describes the social aspects of the task and its context. This chapter explores the concept of social networking in a collaboration environment, and presents a simple strategy for developers who wish to provide visualisation functionalities as part of their own application. As an explanatory case study, we describe the development of a social network visualisation (SNV) tool, using software components and data publicly available. The SNV tool is designed to support users of a collaborative application by facilitating the exploration of interactions from a network perspective. Since social networks can be large and complex, graph theory is commonly used as a mathematical framework. Our SNV tool integrates techniques from social networking and graph theory, including the filtering and clustering of data, in this case, from a large email dataset. These functions help to facilitate the analysis of the social network and reveal the embedded patterns of user behaviour in the underlying data. © 2010, IGI Global.

Book chapter

Liu M, Calvo RA, 2009, An automatic question generation tool for supporting sourcing and integration in students' essays, ADCS 2009 - Proceedings of the Fourteenth Australasian Document Computing Symposium, Pages: 90-97

This paper presents a domain independent Automatic Question Generation (AQG) tool that generates questions which can be used as a form of support for students to revise their essay. The focus here is on generating questions based on semantic and syntactic information acquired from citations. The semantic information includes the author's name, the citation type (describing the aim of the cited study, its results or an opinion), the author's expressed sentiment, and the syntactic information of the citation. Pedagogically, the question templates are designed using Bloom's learning taxonomy where the questions reach the Analysis Level. We used 40 undergraduate students essays for our experiment and the Name Entity Recognition component is trained on 20 essays. The result of our experiment shows that the question coverage is 96% and accuracy of generated questions can reach 78%. This AQG tool will be integrated into our peer review system to scaffold feedback from peers.

Journal article

Villalon J, Calvo RA, 2009, Single document semantic spaces, Conferences in Research and Practice in Information Technology Series, Vol: 101, Pages: 175-181, ISSN: 1445-1336

Latent Semantic Analysis (LSA) has been success-fully used in a number of information retrieval, doc-ument visualization and summarization applications. LSA semantic spaces are normally created from large corpora that reflect an assumed background knowl-edge. However the right size and coverage of the back-ground knowledge for each application are still open research questions. Moreover, LSA's computational cost is directly related to the size of the corpus, mak-ing the technique inviable in many cases. This paper introduces a technique for creating semantic spaces using a single document and no background knowl-edge, which cuts computational cost and is domain independent. Single document semantic spaces' relia-bility was evaluated on a collection of student essays. Several semantic spaces generated from large corpora and single documents were used to compare how es-says are represented. The distance between consecu-tive sentences in the essays changes between semantic spaces, but the rank of the distances is preserved. The results show that high correlations (0.7) of ranked dis-tances between sentences can be achieved on the dif-ferent spaces for the weight schemes evaluated. This has important implications for the applications dis-cussed. © 2009, Australian Computer Society, Inc.

Journal article

O'Rourke ST, Calvo RA, 2009, Visualizing Paragraph Closeness for Academic Writing Support, IEEE International Conference on Advanced Learning Technologies, Publisher: IEEE, Pages: 688-692

Conference paper

Villalon J, Calvo RA, 2009, Concept Extraction from student essays, towards Concept Map Mining, IEEE International Conference on Advanced Learning Technologies, Publisher: IEEE, Pages: 221-225

Conference paper

Lee JM, Cho SH, Calvo RA, 2009, A Fast Algorithm for Simulation of Flocking Behavior, 1st IEEE International Games Innovations Conference (ICE-GIC 2009), Publisher: IEEE, Pages: 1-+

Conference paper

Calvo RA, 2009, Incorporating Affect into Educational Design Patterns and Frameworks, IEEE International Conference on Advanced Learning Technologies, Publisher: IEEE, Pages: 377-381

Conference paper

O'Rourke ST, Calvo RA, 2009, Analysing Semantic Flow in Academic Writing, 14th International Conference on Artificial Intelligence in Education (AIED 2009), Publisher: IOS PRESS, Pages: 173-+, ISSN: 0922-6389

Conference paper

AlZoubi O, Calvo RA, Stevens RH, 2009, Classification of EEG for Affect Recognition: An Adaptive Approach, 22nd Australian Joint Conference on Artificial Intelligence, Publisher: SPRINGER-VERLAG BERLIN, Pages: 52-+, ISSN: 2945-9133

Conference paper

Calvo RA, Brown I, Scheding S, 2009, Effect of Experimental Factors on the Recognition of Affective Mental States through Physiological Measures, 22nd Australian Joint Conference on Artificial Intelligence, Publisher: SPRINGER-VERLAG BERLIN, Pages: 62-+, ISSN: 0302-9743

Conference paper

Villalon JJ, Calvo RA, 2008, Concept Map Mining: A definition and a framework for its evaluation, Pages: 357-360

Concept maps are visual representations of knowledge, widely used in educational contexts. We use the term "Concept Map Mining" (CMM) to refer to the automatic extraction of Concept Maps from documents such as essays. The principles behind CMM have been proposed for applications such as: information extraction in specific knowledge domains, the measurement of student understanding and misconceptions based on written essays, and as a preliminary step to creating domain ontologies. Previous work on the automatic extraction of concept maps present two problems: 1) overly simplistic and varying definitions of concept maps, and 2) the lack of an evaluation framework that can be used to measure the quality of the generated maps. In this paper, we propose a formal definition of the term CMM, with a focus on educational applications. We also propose an evaluation framework that will allow other researchers to share a common ground to evaluate the performance of CMM methods. © 2008 IEEE.

Conference paper

AlZoubi O, Koprinska I, Calvo RA, 2008, Classification of brain-computer interface data, Conferences in Research and Practice in Information Technology Series, Vol: 87, Pages: 123-131, ISSN: 1445-1336

In this paper we investigate the classification of mental tasks based on electroencephalographic (EEG) data for Brain Computer Interfaces (BCI) in two scenarios: off line and on-line. In the off-line scenario we evaluate the performance of a number of classifiers using a benchmark dataset, the same pre-processing and feature selection and show that classifiers that haven't been used before are good choices. We also apply a new feature selection method that is suitable for the highly correlated EEG data and show that it greatly reduces the number of features without deteriorating the classification accuracy. In the on-line scenario that we have designed, we study the performance of our system to play a computer game for which the signals are processed in real time and the subject receives visual feedback of the resulting control within the game environment..We discuss the performance and highlight important issues. © 2008, Australian Computer Society, Inc.

Journal article

Ellis RA, Goodyear P, Calvo RA, Prosser Met al., 2008, Engineering through students' conceptions of and approaches to learning discussions in face-to-face and online contexts, LEARNING AND INSTRUCTION, Vol: 18, Pages: 267-282, ISSN: 0959-4752

Journal article

Pour PA, Gulrez T, AlZoubi O, Gargiulo G, Calvo RAet al., 2008, Brain-Computer Interface: Next Generation Thought Controlled Distributed Video Game Development Platform, IEEE Symposium on Computational Intelligence and Games, Publisher: IEEE, Pages: 251-257

Conference paper

Gargiulo G, Bifulco P, Calvo RA, Cesarelli M, Jin C, van Schaik Aet al., 2008, A mobile EEG system with dry electrodes, IEEE Biomedical Circuits and Systems Conference - Intelligent Biomedical Systems, Publisher: IEEE, Pages: 273-+

Conference paper

Villalon J, Kearney P, Calvo RA, Reimann Pet al., 2008, Glosser:: Enhanced feedback for student writing tasks, 8th IEEE International Conference on Advanced Learning Technologies, Publisher: IEEE COMPUTER SOC, Pages: 454-+

Conference paper

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