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Output details

11 - Computer Science and Informatics

University of Salford

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Output 38 of 49 in the submission
Article title

Modeling Aggressive Behaviors With Evolutionary Taxonomers

Type
D - Journal article
Title of journal
IEEE Transactions on Human-Machine Systems
Article number
-
Volume number
43
Issue number
3
First page of article
302
ISSN of journal
2168-2305
Year of publication
2013
URL
-
Number of additional authors
1
Additional information

<02>The paper investigates both the recognition and modelling of aggressive behaviours using kinematic (3D) and electromyographic (EMG) performance data. For this purpose, Genetic Programming was used with a novel Gaussian model that harnesses a biomechanical primitive language for the multiclass behaviour recognition problem. The research has impact on the fields of evolutionary pattern recognition and biomechanics, as the model showed not only distinctive recognition performances, but also how its internal structure can be used to describes a physical behaviour using a synthesis of forces and energies. The behaviour model has potential applications in rehabilitation, biomechanics of sports, and physiology.

Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
-
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-