Results 41 to 50 of about 78,709 (143)

Regularized GLISp for sensor-guided human-in-the-loop optimization

IFAC Journal of Systems and Control
Human-in-the-loop calibration is often addressed via preference-based optimization, where algorithms learn from pairwise comparisons rather than explicit cost evaluations. While effective, methods such as Preferential Bayesian Optimization or Global optimization based on active preference learning with radial basis functions (GLISp) treat the system as
Matteo Cercola, Michele Lomuscio, Dario Piga, Simone Formentin   +3 more
openaire   +2 more sources

EMG-Based Simulation for Optimization of Human-in-the-Loop Control in Simple Robotic Walking Assistance

Journal of Sensor and Actuator Networks
Exoskeletons offer promising solutions for enhancing human mobility; however, personalizing assistance parameters to optimize physiological outcomes remains challenging.
Arash Mohammadzadeh Gonabadi, Nathaniel H. Hunt, Farahnaz Fallahtafti   +2 more
doaj   +1 more source

Python-Based Open-Source Electro-Mechanical Co-Optimization System for MEMS Inertial Sensors

Micromachines, 2021
The surge in fabrication techniques for micro- and nanodevices gave room to rapid growth in these technologies and a never-ending range of possible applications emerged.
Rui Amendoeira Esteves, Chen Wang, Michael Kraft   +2 more
doaj   +1 more source

User-Adaptive Variable Impedance Control Using Bayesian Optimization for Robot-Aided Ankle Rehabilitation

IEEE Transactions on Neural Systems and Rehabilitation Engineering
This paper presents a user-adaptive variable impedance control approach for robot-aided rehabilitation, initially focusing on an ankle rehabilitation application.
Gautham Manoharan, Hyunglae Lee
doaj   +1 more source

Human-in-the-Loop Optimization of the Stiffness and Alignment of a Prosthetic Foot to Reduce the Metabolic Cost of Walking

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Improper tuning of prosthetic foot properties to the individual user limits the efficacy of current state-of-the-art prosthetic feet in terms of walking economy.
Thijs Tankink, Han Houdijk, Johnnidel Tabucol, Marco Leopaldi, Juha M. Hijmans, Raffaella Carloni   +5 more
doaj   +1 more source

Wearable Robot Design Optimization Using Closed-Form Human–Robot Dynamic Interaction Model

Sensors
Wearable robots are emerging as a viable and effective solution for assisting and enabling people who suffer from balance and mobility disorders.
Erfan Shahabpoor, Bethany Gray, Andrew Plummer   +2 more
doaj   +1 more source

Intuitive and versatile bionic legs: a perspective on volitional control

Frontiers in Neurorobotics
Active lower limb prostheses show large potential to offer energetic, balance, and versatility improvements to users when compared to passive and semi-active devices.
Matthias Voß, Anne D. Koelewijn, Philipp Beckerle, Philipp Beckerle   +3 more
doaj   +1 more source

A Relationship Model Between Optimized Exoskeleton Assistance and Gait Conditions Improves Multi-Gait Human-in-the-Loop Optimization Performance

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Exoskeletons have been shown be able to reduce metabolic cost of human walking. Determining the suitable assistance is challenging due to individual variability in response and the need for tailored assistance across different gait conditions.
Zhibo Jing, Hong Han, Jianda Han, Juanjuan Zhang   +3 more
doaj   +1 more source

Optimizing exoskeleton assistance to improve walking speed and energy economy for older adults

Journal of NeuroEngineering and Rehabilitation
Background Walking speed and energy economy tend to decline with age. Lower-limb exoskeletons have demonstrated potential to improve either measure, but primarily in studies conducted on healthy younger adults.
Ava Lakmazaheri, Seungmoon Song, Brian B. Vuong, Blake Biskner, Deborah M. Kado, Steven H. Collins   +5 more
doaj   +1 more source

Automated Real-Time Detection and Correction of Children’s Kinesthetic Learning Using Expert-User Performance and Smartphones as Wearables

Applied System Innovation
More than 80% of young people (11–17 years) do not meet recommended levels of physical activity, while excessive sedentary smartphone use increases rapidly, highlighting the need for accessible tools that promote active and kinesthetic learning.
Carla Gómez-Monroy, Alejandro C. Ramírez-Reivich, Vicente Borja, José Luis Jimenez-Corona, Victor Gonzalez   +4 more
doaj   +1 more source