The research in assistance and rehabilitation robotics is a growing and promising domain
that has emerged due to various medical needs such as neuromuscular disorder …

Bionic prosthetic hands hold the potential to replicate the functionality of human hands. The
use of bionic limbs can assist amputees in performing everyday activities. This article …

Machine learning on electromyography (EMG) has recently achieved remarkable success
on various tasks, while such success relies heavily on the assumption that the training and …

Upper limb and hand functionality is critical to many activities of daily living, and the
amputation of one can lead to significant functionality loss for individuals. From this …

Converging evidence in human and animal models suggests that exogenous stimulation of
the motor cortex (M1) elicits responses in the hand with similar modular structure to that …

Handedness has been associated with behavioral asymmetries between limbs that suggest
specialized function of dominant and non-dominant hand. Whether patterns of muscle co …

We investigate a regularization framework for subject transfer learning in which we train an
encoder and classifier to minimize classification loss, subject to a penalty measuring …

Objective. This research aims to reveal how the synergistic control of upper limb muscles
adapts to varying requirements in complex motor tasks and how expertise shapes the motor …

Learning data representations that capture task-related features, but are invariant to
nuisance variations remains a key challenge in machine learning. We introduce an …

Assist-as-needed control with a soft robotic hand glove for active rehabilitation is studied in
this work. There are two resources of the grasping force, the robotic glove and the subject …