On the modeling of biomechanical systems for human movement analysis: a narrative review

I Roupa, MR da Silva, F Marques… - … Methods in Engineering, 2022 - Springer
The rising importance of movement analysis led to the development of more complex
biomechanical models to describe in detail the human motion patterns. The models scaled …

Continuous prediction of human joint mechanics using emg signals: A review of model-based and model-free approaches

SP Sitole, FC Sup - IEEE Transactions on Medical Robotics …, 2023 - ieeexplore.ieee.org
This paper reviews model-based and model-free approaches for continuous prediction of
human joint motion using surface electromyography (EMG) signals. The review focuses on …

[HTML][HTML] Sensorless force estimation for industrial robots using disturbance observer and neural learning of friction approximation

S Liu, L Wang, XV Wang - Robotics and Computer-Integrated …, 2021 - Elsevier
Contact force estimation enables robots to physically interact with unknown environments
and to work with human operators in a shared workspace. Most heavy-duty industrial robots …

Lower-limb joint torque prediction using LSTM neural networks and transfer learning

L Zhang, D Soselia, R Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Estimation of joint torque during movement provides important information in several
settings, such as effect of athletes' training or of a medical intervention, or analysis of the …

Adaptive neuro-fuzzy inference system model driven by the non-negative matrix factorization-extracted muscle synergy patterns to estimate lower limb joint …

D Xu, H Zhou, W Quan, F Gusztav, JS Baker… - Computer Methods and …, 2023 - Elsevier
Background and objective For patients with movement disorders, the main clinical focus is
on exercise rehabilitation to help recover lost motor function, which is achieved by relevant …

A minimal and multi-source recording setup for ankle joint kinematics estimation during walking using only proximal information from lower limb

R Mobarak, A Tigrini, F Verdini… - … on Neural Systems …, 2024 - ieeexplore.ieee.org
In this study, a minimal setup for the ankle joint kinematics estimation is proposed relying
only on proximal information of the lower-limb, ie thigh muscles activity and joint kinematics …

The future of in-field sports biomechanics: wearables plus modelling compute real-time in vivo tissue loading to prevent and repair musculoskeletal injuries

D Lloyd - Sports Biomechanics, 2024 - Taylor & Francis
This paper explores the use of biomechanics in identifying the mechanistic causes of
musculoskeletal tissue injury and degeneration. It appraises how biomechanics has been …

Meta-heuristic optimization algorithms based feature selection for joint moment prediction of sit-to-stand movement using machine learning algorithms

E Ekinci, Z Garip, K Serbest - Computers in Biology and Medicine, 2024 - Elsevier
The sit-to-stand (STS) movement is fundamental in daily activities, involving coordinated
motion of the lower extremities and trunk, which leads to the generation of joint moments …

A novel autonomous learning framework to enhance sEMG-based hand gesture recognition using depth information

SE Ovur, X Zhou, W Qi, L Zhang, Y Hu, H Su… - … Signal Processing and …, 2021 - Elsevier
Hand gesture recognition using surface electromyography (sEMG) has been one of the most
efficient motion analysis techniques in human–computer interaction in the last few decades …

Real-time gait phase estimation based on neural network and assistance strategy based on simulated muscle dynamics for an ankle exosuit

Z Wang, C Chen, F Yang, Y Liu, G Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Soft exosuits have been demonstrated to possess the potential to reduce metabolism and
muscle fatigue in human locomotion. How to maximize the user's metabolic benefit and …