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doctoral thesis

Partial Assistance with Lower-Limb Exoskeletons to Enhance Gait and Balance in Daily Living Activities

Orhan, Zeynep Ozge  
2025

This thesis addresses key challenges in developing adaptive lower-limb exoskeletons to enhance balance, mobility, and user autonomy during daily living activities. It presents a comprehensive exploration of three critical aspects: push recovery during standing, partial assistance during gait and stair navigation, and real-time locomotion transition detection.

A novel push recovery framework integrates a bio-inspired stepping strategy and online optimization of step parameters, enabling natural and effective responses to external perturbations. Experimental validation demonstrates the framework's capability to enhance stability and support synergistic human-exoskeleton interaction.

To support daily living activities such as walking and stairs navigation, 3D path and flow controllers were developed, extending 2D implementations by incorporating hip abduction/adduction control to improve mediolateral stability. These controllers maintain natural movement variability while offering targeted balance assistance. Experimental results reveal that the path controller enhances trajectory alignment with inter-joint coordination patterns, while the flow controller provides intuitive and user-preferred support.

For locomotion transition detection, a machine learning-trained threshold-based method was introduced, achieving high real-time classification accuracy across two distinct exoskeletons, eWalk and Autonomyo. Personalization techniques, including Bayesian optimization, tailored the system to individual gait patterns, enhancing robustness and adaptability.

The findings emphasize the importance of incorporating dynamic balance mechanisms, intuitive control frameworks, and user-specific adaptability to address the complex demands of daily living activities while maintaining user autonomy and comfort. Future research should aim to integrate all these aspects, balance recovery, partial assistance during daily living activities, and transition detection, into cohesive frameworks. These frameworks should explore dynamic and real-world environments while prioritizing user-centric design approaches. Involving end-users, physiotherapists, and clinicians in the development process can further enhance that exoskeleton systems align with practical needs and preferences, advancing their potential to improve mobility and quality of life for individuals with walking impairments.

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Type
doctoral thesis
DOI
10.5075/epfl-thesis-11153
Author(s)
Orhan, Zeynep Ozge  
Advisors
Bouri, Mohamed  
•
Ijspeert, Auke  
Jury

Dr Ronan Boulic (président) ; Dr Mohamed Bouri, Prof. Auke Ijspeert (directeurs) ; Prof. Roger Gassert, Prof. Laura Marchal-Crespo, Prof. Herman van der Kooij (rapporteurs)

Date Issued

2025

Publisher

EPFL

Publisher place

Lausanne

Public defense year

2025-05-02

Thesis number

11153

Total of pages

189

Subjects

Wearable Robotics

•

Lower-limb Exoskeletons

•

Partial Gait Assistance

•

Balance Assistance

EPFL units
BIOROB  
Faculty
STI  
School
IBI-STI  
Doctoral School
EDRS  
Available on Infoscience
April 23, 2025
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/249419
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