Zhou, H and Hu, H and Liu, H and Tang, J (2012) Classification of Upper Limb Motion Trajectories Using Shape Features. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 42 (6). pp. 970-982. DOI https://doi.org/10.1109/tsmcc.2011.2175380
Zhou, H and Hu, H and Liu, H and Tang, J (2012) Classification of Upper Limb Motion Trajectories Using Shape Features. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 42 (6). pp. 970-982. DOI https://doi.org/10.1109/tsmcc.2011.2175380
Zhou, H and Hu, H and Liu, H and Tang, J (2012) Classification of Upper Limb Motion Trajectories Using Shape Features. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 42 (6). pp. 970-982. DOI https://doi.org/10.1109/tsmcc.2011.2175380
Abstract
To understand and interpret human motion is a very active research area nowadays because of its importance in sports sciences, health care, and video surveillance. However, classification of human motion patterns is still a challenging topic because of the variations in kinetics and kinematics of human movements. In this paper, we present a novel algorithm for automatic classification of motion trajectories of human upper limbs. The proposed scheme starts from transforming 3-D positions and rotations of the shoulder/elbow/wrist joints into 2-D trajectories. Discriminative features of these 2-D trajectories are, then, extracted using a probabilistic shape-context method. Afterward, these features are classified using a k-means clustering algorithm. Experimental results demonstrate the superiority of the proposed method over the state-of-the-art techniques.
Item Type: | Article |
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Uncontrolled Keywords: | Classification; expectation maximization; health care; motion trajectory; shape contexts (SCs) |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 06 Mar 2013 11:41 |
Last Modified: | 25 Oct 2024 15:47 |
URI: | http://repository.essex.ac.uk/id/eprint/5519 |