Deep learning in economics: a systematic and critical review
From the perspective of historical review, the methodology of economics develops from
qualitative to quantitative, from a small sampling of data to a vast amount of data. Because of …
qualitative to quantitative, from a small sampling of data to a vast amount of data. Because of …
When xr and ai meet-a scoping review on extended reality and artificial intelligence
Research on Extended Reality (XR) and Artificial Intelligence (AI) is booming, which has led
to an emerging body of literature in their intersection. However, the main topics in this …
to an emerging body of literature in their intersection. However, the main topics in this …
Deep learning for processing electromyographic signals: A taxonomy-based survey
Deep Learning (DL) has been recently employed to build smart systems that perform
incredibly well in a wide range of tasks, such as image recognition, machine translation, and …
incredibly well in a wide range of tasks, such as image recognition, machine translation, and …
Evaluation of methods for the extraction of spatial muscle synergies
Muscle synergies have been largely used in many application fields, including motor control
studies, prosthesis control, movement classification, rehabilitation, and clinical studies. Due …
studies, prosthesis control, movement classification, rehabilitation, and clinical studies. Due …
Continuous Prediction of Wrist Joint Kinematics Using Surface Electromyography from the Perspective of Muscle Anatomy and Muscle Synergy Feature Extraction
Post-stroke upper limb dysfunction severely impacts patients' daily life quality. Utilizing
sEMG signals to predict patients' motion intentions enables more effective rehabilitation by …
sEMG signals to predict patients' motion intentions enables more effective rehabilitation by …
Task-oriented muscle synergy extraction using an autoencoder-based neural model
The growing interest in wearable robots opens the challenge for developing intuitive and
natural control strategies. Among several human–machine interaction approaches …
natural control strategies. Among several human–machine interaction approaches …
A Serious Game for the Assessment of Visuomotor Adaptation Capabilities during Locomotion Tasks Employing an Embodied Avatar in Virtual Reality
The study of visuomotor adaptation (VMA) capabilities has been encompassed in various
experimental protocols aimed at investigating human motor control strategies and/or …
experimental protocols aimed at investigating human motor control strategies and/or …
Performance of a Novel Muscle Synergy Approach for Continuous Motion Estimation on Untrained Motion (March 2024)
W Lu, H Ma, D Zeng - IEEE Transactions on Neural Systems …, 2024 - ieeexplore.ieee.org
When applying continuous motion estimation (CME) model based on sEMG to human-robot
system, it is inevitable to encounter scenarios in which the motions performed by the user …
system, it is inevitable to encounter scenarios in which the motions performed by the user …
How many muscles? Optimal muscles set search for optimizing myocontrol performance
In myo-control, for computational and setup constraints, the measurement of a high number
of muscles is not always possible: the choice of the muscle set to use in a myo-control …
of muscles is not always possible: the choice of the muscle set to use in a myo-control …
Dream to posture: visual posturing of a tendon-driven hand using world model and muscle synergies
M Ishige, T Taniguchi, Y Kawahara - Advanced Robotics, 2023 - Taylor & Francis
Although tendon-driven anthropomorphic robot hands have the potential to achieve human-
level dexterity, controlling them is a great challenge owing to their mechanical complexities …
level dexterity, controlling them is a great challenge owing to their mechanical complexities …