Evolving aggressive biomechanical models with genetic programming

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.