Eleni Efthimiou


2020

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Proceedings of the LREC2020 9th Workshop on the Representation and Processing of Sign Languages: Sign Language Resources in the Service of the Language Community, Technological Challenges and Application Perspectives
Eleni Efthimiou | Stavroula-Evita Fotinea | Thomas Hanke | Julie A. Hochgesang | Jette Kristoffersen | Johanna Mesch
Proceedings of the LREC2020 9th Workshop on the Representation and Processing of Sign Languages: Sign Language Resources in the Service of the Language Community, Technological Challenges and Application Perspectives

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Recognition of Static Features in Sign Language Using Key-Points
Ioannis Koulierakis | Georgios Siolas | Eleni Efthimiou | Evita Fotinea | Andreas-Georgios Stafylopatis
Proceedings of the LREC2020 9th Workshop on the Representation and Processing of Sign Languages: Sign Language Resources in the Service of the Language Community, Technological Challenges and Application Perspectives

In this paper we report on a research effort focusing on recognition of static features of sign formation in single sign videos. Three sequential models have been developed for handshape, palm orientation and location of sign formation respectively, which make use of key-points extracted via OpenPose software. The models have been applied to a Danish and a Greek Sign Language dataset, providing results around 96%. Moreover, during the reported research, a method has been developed for identifying the time-frame of real signing in the video, which allows to ignore transition frames during sign recognition processing.

2016

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Multimodal Resources for Human-Robot Communication Modelling
Stavroula–Evita Fotinea | Eleni Efthimiou | Maria Koutsombogera | Athanasia-Lida Dimou | Theodore Goulas | Kyriaki Vasilaki
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

This paper reports on work related to the modelling of Human-Robot Communication on the basis of multimodal and multisensory human behaviour analysis. A primary focus in this framework of analysis is the definition of semantics of human actions in interaction, their capture and their representation in terms of behavioural patterns that, in turn, feed a multimodal human-robot communication system. Semantic analysis encompasses both oral and sign languages, as well as both verbal and non-verbal communicative signals to achieve an effective, natural interaction between elderly users with slight walking and cognitive inability and an assistive robotic platform.

2000

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Terminology Encoding in View of Multifunctional NLP Resources
Marianna Katsoyannou | Eleni Efthimiou
Proceedings of the Second International Conference on Language Resources and Evaluation (LREC’00)