Exoskeletons can augment the performance of unimpaired users and restore movement in
individuals with gait impairments. Knowledge of how users interact with wearable devices …

Background and Purpose—Assessing upper limb movements poststroke is crucial to
monitor and understand sensorimotor recovery. Kinematic assessments are expected to …

End-effector (EE) and exoskeleton (Exo) robots have not been directly compared previously.
The present study aimed to directly compare EE and Exo robots in chronic stroke patients …

Virtual reality (VR) is a promising tool to promote motor (re) learning in healthy users and
brain-injured patients. However, in current VR-based motor training, movements of the users …

The use of robots has attracted researchers to design numerous haptic training methods to
support motor learning. However, investigations of new methods yielded inconclusive …

Background Current robot-aided training allows for high-intensity training but might hamper
the transfer of learned skills to real daily tasks. Many of these tasks, eg, carrying a cup of …

Humans predict the sensory consequences of motor commands by learning internal models
of the body and of environment perturbations. When facing a sensory prediction error …

Background The relearning of movements after brain injury can be optimized by providing
intensive, meaningful, and motivating training using virtual reality (VR). However, most …

Background: Motor impairment in the arms is common after stroke and many individuals
participate in therapy to improve function. It is assumed that individuals with stroke can adapt …

Background After a stroke, 80% of the chronic patients have difficulties to use their paretic
upper limb (UL) in activities of daily life (ADL) even after rehabilitation. Virtual reality therapy …