Robot-assisted rehabilitation and therapy has become more and more frequently used to
help the elderly, disabled patients or movement disorders to perform exercise and training …

In recent decades, although the research on gait recognition of lower limb exoskeleton robot
has been widely developed, there are still limitations in rehabilitation training and clinical …

Human-assisting intelligent systems demand certain methods to precisely predict motorized
limb joint angles. This paper presents the application of deep-recurrent neural networks …

Surface electromyogram (sEMG) offers a rich set of motor information for decoding limb
motion intention that serves as a control input to Intelligent human-machine synergy systems …

In this paper, a control strategy is proposed to improve the tracking performance of the lower
limb exoskeleton (LLE). The proposed active disturbance rejection control (ADRC) with fast …

Electromyography (EMG) pattern recognition is an important technology for prosthesis
control and human-computer interaction etc. However, the practical application of EMG …

Conventional lower-limb rehabilitation robots are large, complicated to wear, and require
moving the patient to a designated position. To solve these problems, a new single-legged …

In the recent years, the increasing applications of brain–computer interface (BCI) in
rehabilitation programs have enhanced the chances of functional recovery for patients with …

Background The recognition of lower limb movement has a wide range of applications in
rehabilitation training, wearable exoskeleton control, and human activity monitoring. Surface …

Existing ankle rehabilitation robots are large, difficult to move, and mostly designed for
seated use, which cannot meet the early bedridden rehabilitation goals of stroke patients. To …