Machine learning in agriculture: A comprehensive updated review
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 …
artificial intelligent systems for the sake of making value from the ever-increasing data …
Machine-learning-aided self-powered assistive physical therapy devices
An expanding elderly population and people with disabilities pose considerable challenges
to the current healthcare system. As a practical technology that integrates systems and …
to the current healthcare system. As a practical technology that integrates systems and …
Artificial intelligence in physical rehabilitation: A systematic review
Background Physical disabilities become more common with advancing age. Rehabilitation
restores function, maintaining independence for longer. However, the poor availability and …
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
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 …
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
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 …
human and animal movement. This article outlines ten steps to becoming a musculoskeletal …
Advancements, trends and future prospects of lower limb prosthesis
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 …
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
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 …
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 …
accuracy, real-time responsiveness, and model lightness. Model selection, data filtering, and …
[HTML][HTML] Human–Robot Interaction through Dynamic Movement Recognition for Agricultural Environments
In open-field agricultural environments, the inherent unpredictable situations pose
significant challenges for effective human–robot interaction. This study aims to enhance …
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 …
activity prediction (MyPredict), containing three data sets. These data sets contain data from …