As physiological signals that are closely related to human motion, surface electromyography
(sEMG) signals have been widely used in human-robot interaction systems (HRISs). Some …

Accurate and swift tuning of joint impedance is crucial to perform movement and interaction
with our environment. Time-varying system identification enables quantification of joint …

Objective: Regulating the impedance of our joints is essential for the effective control of
posture and movement. The impedance of a joint is governed mainly by the mechanical …

In vivo joint stiffness estimation during time-varying conditions remains an open challenge.
Multiple communities, eg system identification and biomechanics, have tackled the problem …

Knowledge on joint impedance during walking in various conditions is relevant for clinical
decision-making and the development of robotic gait trainers, leg prostheses, leg orthotics …

The neuromuscular control of the shoulder requires regulation of 3D joint mechanics, but it is
unknown how these mechanics vary during tasks that load the shoulder in different …

Behaviors we perform each day, such as manipulating an object or walking, require precise
control of the interaction forces between our bodies and the environment. These forces are …

Oxaliplatin (OX) chemotherapy can lead to long-term sensorimotor impairments in cancer
survivors. The impairments are often thought to be caused by OX-induced progressive …

Limb viscoelasticity is a critical neuromechanical factor used to regulate the interaction with
the environment. It plays a key role in modelling human sensorimotor control, and can be …

Joint stiffness estimation under dynamic conditions still remains a challenge. Current
stiffness estimation methods often rely on the external perturbation of the joint. In this study …