In this work, we predicted ankle joint torque by combining a neuromusculoskeletal (NMS)
solver-informed artificial neural network (hybrid-ANN) model with transfer learning based on …

Estimation of joint torque for human arm is important to help a robot adapt to a human
partner in human-robot collaboration. In this study, we proposed an estimating model …

One of the major categories of brain disorders is known as stroke, which it can affect the
entire body. The ability to recover from a stroke depends on the severity of the stroke and …

In order to meet the new requirements of fault diagnosis response and intelligent degree in
the current computer network, a fault detection of computer communication network based …

In this paper, we designed a hemiplegic upper limb rehabilitation training system, which
allowed both single degree of freedom and composite degrees of freedom for the training of …

Upper limb movement disorders significantly hamper the ability of impaired to perform basic
activities of daily living (ADL). Eating, without doubt, is one of the essential ADLs necessary …

With the aid of various physical and biological sensors, research is actively being conducted
to understand the intention of wearer's motions through parameters such as joint torque …

Upper limb disability is one of the major adversities faced by post-stroke patients. Eating is
one of the fundamental activities of survival for all living beings. The robotic rehabilitation …

Robot assisted rehabilitation training is promising to be an effective therapy for post stroke
patients, while it's still a challenge for robot control to achieve the objective of “Assist As …

Human upper limb impedance parameters are important in the smooth contact between
stroke patients and the upper limb rehabilitation robot. Surface electromyography (sEMG) …