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Gaussian Process Regression on Exoskeleton

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Gaussian Process Regression on Exoskeleton


Aybars Oztuna



Aybars Oztuna "Gaussian Process Regression on Exoskeleton" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-10 | Issue-3, June 2026, pp.626-634, URL: https://www.ijtsrd.com/papers/ijtsrd102085.pdf

An uncertain predictive model in detecting the gait phase and the joint trajectory on lower-limb exoskeleton systems. Current deterministic machine learning methods usually provide high accuracy but do not scale to sensor noise and inter-subject variation by providing confidence estimation. To overcome such shortcomings, an uncertainty-sensitive Gaussian Process Regression model is developed to learn nonlinear biomechanical dynamics as well as offer predictive uncertainty to control based on confidence. Multi-subject wearable sensor gait data was subjected to subject-independent evaluation of the framework. The implementation was done in a Python based environment with scientific computing libraries to do probabilistic modeling and analysis of performance. In an experimental study, predictive accuracy of 94.8 % was proven, as well as a consistent regression across individuals. The introduction of variance-based torque adaptation improves the level of safety and real-time responsiveness. The suggested solution is advantageous to the population with mobility limitations since it facilitates intelligent, adaptive, and dependable assistive control in wearable exoskeleton systems.

Wearable Robotic Exoskeletons, Human Gait Modeling, Subject-Independent Generalization, Nonlinear Biomechanical Dynamics, Uncertainty-Aware Predictive Control.


IJTSRD102085
Volume-10 | Issue-3, June 2026
626-634
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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