Title :
HMM and NN for Gesture Recognition
Author :
Delgado-Mata, Carlos ; Cosio, Blanca Miriam Lee
Author_Institution :
Escuela de Ing., Univ. Panamericana, Aguascalientes, Mexico
fDate :
Sept. 28 2010-Oct. 1 2010
Abstract :
This paper presents the application of Hidden Markov Models and Artificial Neural Networks to recognise trajectory patterns in a Euclidean space from data filtered and parametrised by the Fast Fourier Transform. The data comes from the movement of a device based on accelerometers which is used by the Nintendo Wii.
Keywords :
accelerometers; computer games; fast Fourier transforms; gesture recognition; hidden Markov models; neural nets; Euclidean space; Nintendo Wii; accelerometers; artificial neural network; fast Fourier transform; gesture recognition; hidden Markov model; trajectory pattern recognition; Acceleration; Accelerometers; Artificial neural networks; Fast Fourier transforms; Gesture recognition; Hidden Markov models; Neurons;
Conference_Titel :
Electronics, Robotics and Automotive Mechanics Conference (CERMA), 2010
Conference_Location :
Morelos
Print_ISBN :
978-1-4244-8149-1
DOI :
10.1109/CERMA.2010.18
