Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
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| URI: | http://purl.tuc.gr/dl/dias/7123ABC9-7723-4E8F-9BB0-61516EDCBA6A | ||
| Έτος | 2018 | ||
| Τύπος | Διπλωματική Εργασία | ||
| Άδεια Χρήσης |
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| Βιβλιογραφική Αναφορά | Ευάγγελος Γιαννέλος, "Αναγνώριση χειρονομιών για σύνθεση προτάσεων με πιθανοτικούς αλγόριθμους", Διπλωματική Εργασία, Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών, Πολυτεχνείο Κρήτης, Χανιά, Ελλάς, 2018 https://doi.org/10.26233/heallink.tuc.78338 | ||
| Εμφανίζεται στις Συλλογές |
The purpose of this work was to develop a standalone system that predictstext and outputs speech synthesis for people with physical disabilities andreduced fine motor function. A low-cost, infrared hand tracking device wasutilized, typically used in virtual/augmented reality applications. The implementedsystem offers two basic functionalities. First, a human-computerinteraction (HCI) functionality that is customizable and offers enough featuresthat can be tailored to a large number of different users. Second, a wayto predict what the user intends to write in order to reduce the user’s inputtext as much as possible, speeding up overall communication. The wordprediction 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 acceleratedword typing speed, saving input text by approximately 63%. Futurework could utilize additional eye-tracking or hand-tracking sensors.
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