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Gesture recognition for sentence synthesis with probabilistic algorithms

Giannelos Evangelos

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URIhttp://purl.tuc.gr/dl/dias/7123ABC9-7723-4E8F-9BB0-61516EDCBA6A-
Identifierhttps://doi.org/10.26233/heallink.tuc.78338-
Languageen-
Extent57 pagesen
TitleGesture recognition for sentence synthesis with probabilistic algorithmsen
TitleΑναγνώριση χειρονομιών για σύνθεση προτάσεων με πιθανοτικούς αλγόριθμουςel
CreatorGiannelos Evangelosen
CreatorΓιαννελος Ευαγγελοςel
Contributor [Thesis Supervisor]Bletsas Aggelosen
Contributor [Thesis Supervisor]Μπλετσας Αγγελοςel
Contributor [Committee Member]Mania Aikaterinien
Contributor [Committee Member]Μανια Αικατερινηel
Contributor [Committee Member]Partsinevelos Panagiotisen
Contributor [Committee Member]Παρτσινεβελος Παναγιωτηςel
PublisherΠολυτεχνείο Κρήτηςel
PublisherTechnical University of Creteen
Academic UnitTechnical University of Crete::School of Electrical and Computer Engineeringen
Academic UnitΠολυτεχνείο Κρήτης::Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστώνel
Content SummaryThe purpose of this work was to develop a standalone system that predicts text and outputs speech synthesis for people with physical disabilities and reduced fine motor function. A low-cost, infrared hand tracking device was utilized, typically used in virtual/augmented reality applications. The implemented system offers two basic functionalities. First, a human-computer interaction (HCI) functionality that is customizable and offers enough features that can be tailored to a large number of different users. Second, a way to predict what the user intends to write in order to reduce the user’s input text as much as possible, speeding up overall communication. The word prediction task was mainly based on n-grams (and relevant Markov Chains), abbreviation expansion (and lookup tables) and recurrent neural networks. Evaluation results confirmed that the simple prediction methods utilized accelerated word typing speed, saving input text by approximately 63%. Future work could utilize additional eye-tracking or hand-tracking sensors.en
Type of ItemΔιπλωματική Εργασίαel
Type of ItemDiploma Worken
Licensehttp://creativecommons.org/licenses/by-nc-sa/4.0/en
Date of Item2018-07-13-
Date of Publication2018-
SubjectNatural Language Processingen
SubjectHuman-Computer Interactionen
SubjectAugmented and Alternative Communicationen
Bibliographic CitationEvangelos Giannelos, "Gesture recognition for sentence synthesis with probabilistic algorithms", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2018en
Bibliographic CitationΕυάγγελος Γιαννέλος, "Αναγνώριση χειρονομιών για σύνθεση προτάσεων με πιθανοτικούς αλγόριθμους", Διπλωματική Εργασία, Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών, Πολυτεχνείο Κρήτης, Χανιά, Ελλάς, 2018el

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