35th International Engineering in Medicine and Biology Conference - EMBC 2013, Osaka (Japón). 03-07 julio 2013
Resumen:
This paper presents a new algorithm, called Dynamic Arc-Length Warping algorithm (DALW) for hand gesture recognition based on the orientation data. In this algorithm, after calculating the quaternion for each orientation measurement, we use DALW algorithm to obtain a similarity measure between different trajectories. We present the benefits of using quaternion alongside the implementation of Dynamic Arc Length Warping to present an optimized tool for gesture recognition.We show the advantages of this approach compared with other techniques. This tool can be used to distinguish similar and different gestures. An experimental validation is carried out to classify a series of simple human gestures.
Palabras clave: Quaternions , Heuristic algorithms , Gesture recognition , Trajectory , Surgery , Vectors , Conferences
DOI: 
https://doi.org/10.1109/EMBC.2013.6610981
Publicado en: IEEE EMBC 2013: Conference proceedings, pp: 6248-6251, ISBN: 978-1-4577-0216-7
Fecha de publicación: 03-jul-2013
Cita:
J. Cifuentes, M.T. Pham, R. Moreau, F. Prieto, P. Boulanger, "An arc-length warping algorithm for gesture recognition using quaternion representation", presentado en 35th International Engineering in Medicine and Biology Conference - EMBC 2013, Osaka, Japón, 03-07 julio 2013. En: IEEE EMBC 2013: Conference proceedings, pp. 6248-6251, doi: 10.1109/EMBC.2013.6610981
IIT-13-256C
