Text input in Smartwatches Based Gestures Using Geometric Shape

This paper proposes a method for text input based on gestures to be used in smartwatches using geometric shapes. To make the recognition of gestures, we used the incremental recognition algorithm gestures. a template with straight curves were developed using the reduced equation of the circle. Using this template, thirty users have entered all the letters of the alphabet three times each in three groups totaling ninety inserts for each letter. Gestures entered by users have been used to train a Naive Bayes classifier that calculates the probability of insertion for each letter to from the user-entered gestures. During the development work was also carried out a study of the most frequent letters of the Portuguese language. Another partial result of the project is a prototype in which the user enters all the letters of the alphabet using the template gestures. By the time the user enters a gesture prototype automatically suggests the most frequent letters using the Naïve Bayes classifier.