@inproceedings{fcea8c3d276f4f10812ddcca46548b96,
title = "Geometric Compression of Orientation Signals for Fast Gesture Analysis",
abstract = "This paper concerns itself with compression strategies for orientation signals, seen as signals evolving on the space of quaternion's. The compression techniques extend classical signal approximation strategies used in data mining, by explicitly taking into account the quotient-space properties of the quaternion space. The approximation techniques are applied to the case of human gesture recognition from cell phone-based orientation sensors. Results indicate that the proposed approach results in high recognition accuracies, with low storage requirements, with the geometric computations providing added robustness than classical vector-space computations.",
keywords = "Riemannian manifolds, gesture recognition, quaternion data, symbolic approximation",
author = "Aswin Sivakumar and Rushil Anirudh and Pavan Turaga",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 Data Compression Conference, DCC 2015 ; Conference date: 07-04-2015 Through 09-04-2015",
year = "2015",
month = jul,
day = "2",
doi = "10.1109/DCC.2015.39",
language = "English (US)",
series = "Data Compression Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "423--432",
editor = "Ali Bilgin and Marcellin, {Michael W.} and Joan Serra-Sagrista and Storer, {James A.}",
booktitle = "Proceedings - DCC 2015",
}