Machine learning in agriculture: A comprehensive updated review

L Benos, AC Tagarakis, G Dolias, R Berruto, D Kateris… - Sensors, 2021 - mdpi.com
The digital transformation of agriculture has evolved various aspects of management into
artificial intelligent systems for the sake of making value from the ever-increasing data …

Machine-learning-aided self-powered assistive physical therapy devices

X Xiao, Y Fang, X Xiao, J Xu, J Chen - ACS nano, 2021 - ACS Publications
An expanding elderly population and people with disabilities pose considerable challenges
to the current healthcare system. As a practical technology that integrates systems and …

Artificial intelligence in physical rehabilitation: A systematic review

J Sumner, HW Lim, LS Chong, A Bundele… - Artificial Intelligence in …, 2023 - Elsevier
Background Physical disabilities become more common with advancing age. Rehabilitation
restores function, maintaining independence for longer. However, the poor availability and …

Understanding LSTM network behaviour of IMU-based locomotion mode recognition for applications in prostheses and wearables

F Sherratt, A Plummer, P Iravani - Sensors, 2021 - mdpi.com
Human Locomotion Mode Recognition (LMR) has the potential to be used as a control
mechanism for lower-limb active prostheses. Active prostheses can assist and restore a …

Ten steps to becoming a musculoskeletal simulation expert: a half-century of progress and outlook for the future

SD Uhlrich, TK Uchida, MR Lee, SL Delp - Journal of biomechanics, 2023 - Elsevier
Over the past half-century, musculoskeletal simulations have deepened our knowledge of
human and animal movement. This article outlines ten steps to becoming a musculoskeletal …

Advancements, trends and future prospects of lower limb prosthesis

M Asif, MI Tiwana, US Khan, WS Qureshi, J Iqbal… - IEEE …, 2021 - ieeexplore.ieee.org
Amputees with lower limb loss need special care during daily life activities to make the
movement natural as before amputation. No such work exists covering the main aspects …

Ambulation mode classification of individuals with transfemoral amputation through a-mode sonomyography and convolutional neural networks

R Murray, J Mendez, L Gabert, NP Fey, H Liu, T Lenzi - Sensors, 2022 - mdpi.com
Many people struggle with mobility impairments due to lower limb amputations. To
participate in society, they need to be able to walk on a wide variety of terrains, such as …

Improving performance of human action intent recognition: Analysis of gait recognition machine learning algorithms and optimal combination with inertial …

Y Liu, X Liu, Z Wang, X Yang, X Wang - Computers in Biology and Medicine, 2023 - Elsevier
Human action intent recognition has become increasingly dependent on computational
accuracy, real-time responsiveness, and model lightness. Model selection, data filtering, and …

[HTML][HTML] Human–Robot Interaction through Dynamic Movement Recognition for Agricultural Environments

V Moysiadis, L Benos, G Karras, D Kateris, A Peruzzi… - AgriEngineering, 2024 - mdpi.com
In open-field agricultural environments, the inherent unpredictable situations pose
significant challenges for effective human–robot interaction. This study aims to enhance …

Database of lower limb kinematics and electromyography during gait-related activities in able-bodied subjects

RV Schulte, EC Prinsen, L Schaake, RPG Paassen… - Scientific Data, 2023 - nature.com
This data descriptor describes the Roessingh Research & Development-MyLeg database for
activity prediction (MyPredict), containing three data sets. These data sets contain data from …