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Searching for authors named "George Caridakis" – sorted by Relevance.

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Help! 11 documents found, showing 1 through 10. Next 10 →
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  • Communication and Signal Processing Group  
  • by George Caridakis, Olga Diamanti, Petros Maragos, Kostas Karpouzis
  • …feature extraction and probabilistic recognition scheme from multiple cues…
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  • Pattern Recognition Letters  
  • by George Caridakis, Kostas Karpouzis, Athanasios Drosopoulos, Stefanos Kollias
  • …This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or sel…
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  • ADAPTIVE GESTURE RECOGNITION IN HUMAN COMPUTER INTERACTION  
  • by George Caridakis, Kostas Karpouzis, Nasos Drosopoulos, Stefanos Kollias
  • …An adaptive, invariant to user performance fluctuation or noisy input signal, gesture recognition scheme is presented based on Self Organizing Maps, Markov Models and Levenshtein sequence distance. Multiple modalities, all based on the hand position during gesturing, train different classifiers whic…
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  • body gestures  
  • by Ginevra Castellano, Loic Kessous, George Caridakis
  • …emotion recognition from expressive faces,…
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  • Probabilistic Video-Based Gesture Recognition Using Self-Organizing Feature Maps  
  • by George Caridakis, Christos Pateritsas, Athanasios Drosopoulos, Andreas Stafylopatis, Stefanos Kollias
  • …Abstract. Present work introduces a probabilistic recognition scheme for hand gestures. Self organizing feature maps are used to model spatiotemporal information extracted through image processing. Two models are built for each gesture category and, along with appropriate distance metrics, produce a…
  • Cited by 1 (1 self) – Add To MetaCart
  • Kollias , ‘Adaptive On-Line Neural Network Retraining for Real Life Multimodal Emotion  
  • by Spiros Ioannou, Loic Kessous, George Caridakis, Kostas Karpouzis, Vered Aharonson, Stefanos Kollias — Recognition, Lecture Notes in Computer Science, Publisher Springer Berlin / Heidelberg, ISSN 0302-9743, Volume 4131, ISBN 978-3-540-38625-4, Pages
  • …Abstract. Emotions play a major role in human-to-human communication enabling people to express themselves beyond the verbal domain. In recent years, important advances have been made in unimodal speech and video emotion analysis where facial expression information and prosodic audio features are tr…
  • Cited by 2 (1 self) – Add To MetaCart
  • HAND TRAJECTORY BASED GESTURE RECOGNITION USING SELF-ORGANIZING FEATURE MAPS AND MARKOV MODELS  
  • by George Caridakis, Kostas Karpouzis, Christos Pateritsas, Athanasios Drosopoulos, Andreas Stafylopatis, Stefanos Kollias
  • …This work presents the design and experimental verification of an original system architecture aiming at recognizing gestures based solely on the hand trajectory. Self organizing feature maps are used to model spatial information while Markov models encode the temporal aspect of hand position within…
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  • Modeling Naturalistic Affective States Via Facial, Vocal, and Bodily Expressions Recognition  
  • by Kostas Karpouzis, George Caridakis, Loic Kessous, Noam Amir, Amaryllis Raouzaiou, Lori Malatesta, Stefanos Kollias
  • …Abstract. Affective and human-centered computing have attracted a lot of attention during the past years, mainly due to the abundance of devices and environments able to exploit multimodal input from the part of the users and adapt their functionality to their preferences or individual habits. In th…
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  • Multimodal sensing, interpretation and copying of movements by a virtual agent  
  • by Elisabetta Bevacqua, Amaryllis Raouzaiou, Christopher Peters, George Caridakis, Kostas Karpouzis, Catherine Pelachaud, Maurizio Mancini — 2006 — In: Proceedings of Perception and Interactive Technologies
  • …Abstract. We present a scenario whereby an agent senses, interprets and copies a range of facial and gesture expression from a person in the real-world. Input is obtained via a video camera and processed initially using computer vision techniques. It is then processed further in a framework for agen…
  • Cited by 5 (1 self) – Add To MetaCart
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