bachelorThesis
Seta: ambiente de realidade aumentada para o ensino de algoritmos de aprendizagem de máquina
Date
2013-12-19Registration in:
MACHADO, Renan Kruchelski; FARINHAKI, Ricardo; SILVA, Thiago Avelino da. Seta: ambiente de realidade aumentada para o ensino de algoritmos de aprendizagem de máquina. 2013. 82 f. Trabalho de Conclusão de Curso (Graduação) – Universidade Tecnológica Federal do Paraná, Curitiba, 2013.
Author
Machado, Renan Kruchelski
Farinhaki, Ricardo
Silva, Thiago Avelino da
Institutions
Abstract
Augmented reality (AR) is the overlay of virtual images into images of a real
environment, in real time. AR environments can be used as supplementary teaching resources for different content . This paper presents an augmented reality environment called SETA, for teaching machine learning algorithms, specifically different versions of k -means clustering algorithm and algorithms of linear and polynomial regression. Given a set of points on a whiteboard , the teacher can select which algorithms to apply and then display the results on the real image in real time, containing the plotted points . The image is captured using a webcam connected to a computer, which is the system platform. The image processing algorithm which performs segmentation and interpretation of the input images uses a global thresholding technique , mathematics morphology, labelling and Hough transform. The software was developed in Java and it was used image processing libraries (ImageJ and OpenCV) and machine learning library Weka . The tests showed that the system is able to operate satisfactorily under the lighting conditions observed in real situations , and with a refresh rate suitable for the application .