The 2012 Iberoamerican Conference on Electronics Engineering and Computer Science
ANN for Gesture Recognition using Accelerometer Data
Blanca Miriam Lee-Cosio, Carlos Delgado-Mata, Jesus Ibanez
Abstract
This paper presents the application of Artificial Neural Networks to recognise among gestures trajectory patterns in a Euclidean space. The data was filtered and normalised by the Fast Fourier Transform. The k-means algorithm was used to parametrise the optimized data as input of the ANN by creating 15 clusters of data. Using the FANN tool , the ANN was modeled trained and tested so that the output of the ANN is the recognised gesture . The raw data comes from a set of 8 trajectories representing gestures captured by a device based on accelerometers like the Nintendo Wii remote.
