Modeling of Goal-oriented Human Motion Evolution using Hidden Markov Models

Eman Ahmed, Reda El-Khoribi, Alexandre Muzy, Gilles Bernot, Gamal Darwish

Abstract

Humans have the ability to make many complex movements at the same time with full coordination through the whole body. This requires control of all body muscles. The body muscles are controlled by the Central Nervous System (CNS) which consists of the brain and the spinal cord through a group of neurons called the motor neurons. Each muscle is controlled by lower-level motor neurons called the motor neurons. A motor neuron controls a group of muscle fibers of the muscle such that when it is activated, this group contracts. Hence, a muscle movement occurs. Currently, many questions remain unanswered: How this system evolves to generate the complex movements? How to control the muscles to achieve a certain goal such as reaching a target position? and how a human becomes able to define goals in the first place? It is believed that the development of motion begins prenatally with spontaneous fetal movements. In this paper, we are trying to answer these questions by proposing a theoretical model of human learning of motion starting from being a fetus. Simulation is provided using computational intelligence and statistical methods.

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Paper Citation


in Harvard Style

Ahmed E., El-Khoribi R., Muzy A., Bernot G. and Darwish G. (2019). Modeling of Goal-oriented Human Motion Evolution using Hidden Markov Models.In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-351-3, pages 605-612. DOI: 10.5220/0007391906050612


in Bibtex Style

@conference{icpram19,
author={Eman Ahmed and Reda El-Khoribi and Alexandre Muzy and Gilles Bernot and Gamal Darwish},
title={Modeling of Goal-oriented Human Motion Evolution using Hidden Markov Models},
booktitle={Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2019},
pages={605-612},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007391906050612},
isbn={978-989-758-351-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Modeling of Goal-oriented Human Motion Evolution using Hidden Markov Models
SN - 978-989-758-351-3
AU - Ahmed E.
AU - El-Khoribi R.
AU - Muzy A.
AU - Bernot G.
AU - Darwish G.
PY - 2019
SP - 605
EP - 612
DO - 10.5220/0007391906050612