Método de entrada de texto baseada em gestos para dispositivos com telas sensíveis ao toque
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2015-10-13
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Universidade Federal de Goiás
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This paper proposes a method for gesture-based text input to be used in devices with touch
screens. The steps required for this are: recognizing gestures, identify actions needed
to enter letters and recognize letters with up to two interactions. To the recognition of
gestures, we used the incremental recognition algorithm, which works so that it is not
necessary to finish a gesture for this to be recognized, that is, works with continuous
gesture recognition. Furthermore, a template is used as a reference for the recognition
of gestures. The algorithm identifies the likelihood of the gesture being a running the
template. As the incremental recognition algorithm did not have curves in templates using
the reduced equation of the circle, was created a template with curves and straight lines
were also added in it. The template created served to create a database for entering the
letters of the alphabet from A to Z, using user gestures. This base was used for training
of a Naïve Bayes classifier, which identifies the probability of inserting a letter entered
by the user based on the gestures. Three experiments were conducted to test the method
developed. It was found that most users entered a letter using up to two interactions when
inserted the five vowels and the five most frequent consonants. When inserting the five
vowels and five consonants less frequent, users were also able to enter the letters with up
to two interactions. Thus, there is evidence that the method to solve the problem which
has been proposed as a solution.
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NASCIMENTO, T. H. Método de entrada de texto baseada em gestos para dispositivos com telas sensíveis ao toque. 2015. 62 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2015.