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Evolving aggressive biomechanical models with genetic programming

Theodoridis, T and Theodorakopoulos, P and Hu, O (2010) Evolving aggressive biomechanical models with genetic programming. In: UNSPECIFIED, ? - ?.

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Abstract

A repertory of nine biomechanical aggressive activities is investigated in this paper, in our effort to instigate a new paradigm at aggregating descriptive mathematical models with evolutionary, symbolic program representations. Such representations are based on shared biomechanical primitives inspired from kinematics, dynamics, and energetics. Our intension is twofold, initially to study the nature of aggressive biomechanical models and then to classify their physical activities by evolving expression-trees with biomechanical synthesis. The methodology targets on evolving expression programs using the Gaussian Ground-plan Projection Area model, to discriminate among three aggressive behaviours and recognise the individual actions involved. For the n-class problem, three programs have been evolved, each for an aggressive behaviour such as the arm-Launch, the legLaunch, and the bodyLaunch behaviour, so that to be able to examine separately the evolvable characteristics induced. The proposed approach has evidently shown strong classification and discrimination performances. ©2010 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010 - Conference Proceedings
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Users 161 not found.
Date Deposited: 17 Dec 2014 11:35
Last Modified: 30 Jan 2019 16:21
URI: http://repository.essex.ac.uk/id/eprint/9088

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