Semicircular canal modeling in human perception

Author:

Asadi Houshyar1,Mohamed Shady1,Lim Chee Peng1,Nahavandi Saeid1,Nalivaiko Eugene2

Affiliation:

1. Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, VIC 3216, Australia

2. School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW 2308, Australia

Abstract

AbstractThe human vestibular system is a sensory and equilibrium system that manages and controls the human sense of balance and movement. It is the main sensor humans use to perceive rotational and linear motions. Determining an accurate mathematical model of the human vestibular system is significant for research pertaining to motion perception, as the quality and effectiveness of the motion cueing algorithm (MCA) directly depends on the mathematical model used in its design. This paper describes the history and analyses the development process of mathematical semicircular canal models. The aim of this review is to determine the most consistent and reliable mathematical semicircular canal models that agree with experimental results and theoretical analyses, and offer reliable approximations for the semicircular canal functions based on the existing studies. Selecting and formulating accurate mathematical models of semicircular canals are essential for implementation into the MCA and for ensuring effective human motion perception modeling.

Publisher

Walter de Gruyter GmbH

Subject

General Neuroscience

Reference104 articles.

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2. Incorporating human perception with the motion washout filter using fuzzy logic control;IEEE/ASME Trans. Mechatron,2015a

3. Incorporating human perception with the motion washout filter using fuzzy logic control;IEEE/ASME Trans. Mechatron,2015a

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