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Vatakis A.,Cognitive Systems Research Institute CSRI | Pastra K.,Cognitive Systems Research Institute CSRI | Pastra K.,Institute for Language and Speech Processing ILSP
Scientific Data | Year: 2016

In the longstanding effort of defining object affordances, a number of resources have been developed on objects and associated knowledge. These resources, however, have limited potential for modeling and generalization mainly due to the restricted, stimulus-bound data collection methodologies adopted. To-date, therefore, there exists no resource that truly captures object affordances in a direct, multimodal, and naturalistic way. Here, we present the first such resource of 'thinking aloud', spontaneously-generated verbal and motoric data on object affordances. This resource was developed from the reports of 124 participants divided into three behavioural experiments with visuo-tactile stimulation, which were captured audiovisually from two camera-views (frontal/profile). This methodology allowed the acquisition of approximately 95 hours of video, audio, and text data covering: object-feature-action data (e.g., perceptual features, namings, functions), Exploratory Acts (haptic manipulation for feature acquisition/verification), gestures and demonstrations for object/feature/action description, and reasoning patterns (e.g., justifications, analogies) for attributing a given characterization. The wealth and content of the data make this corpus a one-of-a-kind resource for the study and modeling of object affordances. Source

Vatakis A.,Institute for Language and Speech Processing ILSP | Papadelis G.,Aristotle University of Thessaloniki
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2011

Events and actions evolve over time, making the perception of time one of the most central issues in Cognitive Science. However, to-date many questions remain in regards to time perception and the nature of time. A newly formed network of scientists has recently joined forces in order to advance the human understanding of time though a multidisciplinary approach. This network tackles issues from defining the concept of time to developing rehabilitation techniques and it is fostered by the COST-ESF framework. © 2011 Springer. Source

Gatos B.,Institute of Informatics and Telecommunications | Stamatopoulos N.,Institute of Informatics and Telecommunications | Louloudis G.,Institute of Informatics and Telecommunications | Sfikas G.,Institute of Informatics and Telecommunications | And 4 more authors.
Proceedings of the International Conference on Document Analysis and Recognition, ICDAR | Year: 2015

Recognition of old Greek document images containing polytonic (multi accent) characters is a challenging task due to the large number of existing character classes (more than 270) which cannot be handled sufficiently by current OCR technologies. Taking into account that the Greek polytonic system was used from the late antiquity until recently, a large amount of scanned Greek documents still remains without full test search capabilities. In order to assist the progress of relevant research, this paper introduces the first publicly available old Greek polytonic database GRPOLY-DB for the evaluation of several document image processing tasks. It contains both machine-printed and handwritten documents as well as annotation with ground-truth information that can be used for training and evaluation of the most commou document image processing tasks, i.e.. text line and word segmentation, test recognition, isolated character recognition and word spotting. Results using several representative baseline technologies are also presented in order to help researchers evaluate their methods and advance the frontiers of old Greek document image recognition and word spotting. © 2015 IEEE. Source

Athanaselis T.,Institute for Language and Speech Processing ILSP | Bakamidis S.,Institute for Language and Speech Processing ILSP | Dologlou I.,Institute for Language and Speech Processing ILSP | Argyriou E.N.,National Technical University of Athens | Symvonis A.,National Technical University of Athens
Multimedia Tools and Applications | Year: 2014

This work presents our effort to incorporate a state of the art speech recognition engine into a new platform for assistive reading for improving reading ability of Greek dyslexic students. This platform was developed in the framework of the Agent-DYSL, IST project, and facilitates dyslexic children in learning to read fluently. Unlike previously presented approaches, the aim of the system is not only to enable access to the reading materials within an inclusive learning system but to promote the development of reading skills by adjusting and adapting in the light of feedback to the system. The idea is to improve speech recognition performance so that gradually increase the reading capabilities of the user, gradually diminish the assistance provided, till he is able to read as a non-dyslexic reader. The evaluation results show that both learners' reading pace and learners' reading accuracy were increased. © 2012 Springer Science+Business Media, LLC. Source

Dologlou I.,Institute for Language and Speech Processing ILSP | Bakamidis S.,Institute for Language and Speech Processing ILSP | Carayannis G.,Institute for Language and Speech Processing ILSP
European Signal Processing Conference | Year: 2015

A new algorithm for the design of Hidden Markov Models (HMM) from observed symbol and bisymbol probabilities is presented. The algorithm provides a global optimum and makes use of linear vectorial models of sequences of probabilistic vectors estimated during an off-line learning process. Moreover, a method to enhance observed data so as to comply with the constraints of HMM strings is proposed. An optimal estimate of the number of states of the HMM for the given observed data is also provided. © 2000 EUSIPCO. Source

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