6 accepted papers
Despite the advances in the field of human-robot interface (HRI) based on biological neural signal, the use of the sole electroencephalography (EEG) signal to help robotic exoskeleton predict the limb movement is currently no mature in rehabilitation training, due to its unreliability. Multimodal HR…
Lower Limb Exoskeletons (LLE) have received considerable interest in strength augmentation, rehabilitation, and walking assistance scenarios. For strength augmentation, LLE is expected to have the capability of reducing metabolic energy. However, the energy for adjusting Center of Gravity (CoG) is a…
Estimating the center of mass (CoM) is essential for both gait planning and controlling of lower limb exoskeletons. Different from CoM estimation in human and humanoid robots, a critical issue in human-exoskeleton systems pis how to describe the effect of physical human-exoskeleton interactions in e…
Lower Limb Exoskeletons (LLEs) are promising in gait rehabilitation for stroke survivors. In gait training of post-stroke patients with LLEs, one of the main challenges is how to generate appropriate gait patterns from the sound leg to the paretic leg for different patients with varying walking spee…
Lower limb exoskeleton (LLE) has received considerable interests in strength augmentation, rehabilitation and walking assistance scenarios. For walking assistance, the LLE is expected to have the capability of controlling the affected leg to track the unaffected leg’s motion naturally. An important…
Lower exoskeleton has gained considerable interests in walking assistance applications for both paraplegia and hemiplegia patients. In walking assistance of hemiplegia patients, the exoskeleton should have the ability to control the affected leg to follow the unaffected leg's motion naturally. One c…