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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
EN
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| URI: | http://purl.tuc.gr/dl/dias/7123ABC9-7723-4E8F-9BB0-61516EDCBA6A | ||
| Year | 2018 | ||
| Type of Item | Diploma Work | ||
| License |
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| Bibliographic Citation | Evangelos Giannelos, "Gesture recognition for sentence synthesis with probabilistic algorithms", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2018 https://doi.org/10.26233/heallink.tuc.78338 | ||
| Appears in Collections |
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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