Opportunities and challenges in the development of exoskeletons for locomotor assistance

C Siviy, LM Baker, BT Quinlivan… - Nature Biomedical …, 2023 - nature.com
Exoskeletons can augment the performance of unimpaired users and restore movement in
individuals with gait impairments. Knowledge of how users interact with wearable devices …

The exoskeleton expansion: improving walking and running economy

GS Sawicki, ON Beck, I Kang, AJ Young - Journal of neuroengineering and …, 2020 - Springer
Since the early 2000s, researchers have been trying to develop lower-limb exoskeletons
that augment human mobility by reducing the metabolic cost of walking and running versus …

[HTML][HTML] Ambient assisted living: scoping review of artificial intelligence models, domains, technology, and concerns

M Jovanovic, G Mitrov, E Zdravevski, P Lameski… - Journal of Medical …, 2022 - jmir.org
Background Ambient assisted living (AAL) is a common name for various artificial
intelligence (AI)—infused applications and platforms that support their users in need in …

Human-in-the-loop optimization of exoskeleton assistance via online simulation of metabolic cost

DFN Gordon, C McGreavy, A Christou… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Many assistive robotic devices have been developed to augment or assist human
locomotion. Despite advancements in design and control algorithms, this task remains …

Sensing leg movement enhances wearable monitoring of energy expenditure

P Slade, MJ Kochenderfer, SL Delp… - Nature …, 2021 - nature.com
Physical inactivity is the fourth leading cause of global mortality. Health organizations have
requested a tool to objectively measure physical activity. Respirometry and doubly labeled …

Estimating human joint moments unifies exoskeleton control, reducing user effort

DD Molinaro, I Kang, AJ Young - Science Robotics, 2024 - science.org
Robotic lower-limb exoskeletons can augment human mobility, but current systems require
extensive, context-specific considerations, limiting their real-world viability. Here, we present …

Systematic review of intelligent algorithms in gait analysis and prediction for lower limb robotic systems

R Kolaghassi, MK Al-Hares, K Sirlantzis - IEEE Access, 2021 - ieeexplore.ieee.org
The rate of development of robotic technologies has been meteoric, as a result of
compounded advancements in hardware and software. Amongst these robotic technologies …

Muscle coordination and recruitment during squat assistance using a robotic ankle–foot exoskeleton

H Jeong, P Haghighat, P Kantharaju, M Jacobson… - Scientific Reports, 2023 - nature.com
Squatting is an intensive activity routinely performed in the workplace to lift and lower loads.
The effort to perform a squat can decrease using an exoskeleton that considers individual …

A neural network estimation of ankle torques from electromyography and accelerometry

HC Siu, J Sloboda, RJ McKindles… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Estimations of human joint torques can provide clinically valuable information to inform
patient care, plan therapy, and assess the design of wearable robotic devices. Predicting …

Deep learning-based energy expenditure estimation in assisted and non-assisted gait using inertial, EMG, and heart rate wearable sensors

JM Lopes, J Figueiredo, P Fonseca, JJ Cerqueira… - Sensors, 2022 - mdpi.com
Energy expenditure is a key rehabilitation outcome and is starting to be used in robotics-
based rehabilitation through human-in-the-loop control to tailor robot assistance towards …