Early research on physical human–robot interaction (pHRI) has necessarily focused on
device design—the creation of compliant and sensorized hardware, such as exoskeletons …

Myoelectric control is filled with potential to significantly change human–robot interaction
due to the ability to non-invasively measure human motion intent. However, current control …

In this paper, we propose a highly accurate and fast spelling system that employs multi-
modal electroencephalography-electrooculography (EEG-EOG) signals and visual feedback …

Background Most of the modern motorized prostheses are controlled with the surface
electromyography (sEMG) recorded on the residual muscles of amputated limbs. However …

Brain-computer interface (BCI) technology shows potential for application to motor
rehabilitation therapies that use neural plasticity to restore motor function and improve …

Active movement-assistive devices aim to increase the quality of life for patients with
neuromusculoskeletal disorders. This technology requires interaction between the user and …

The study of biomimetic robots and that of animal behaviors are mutually-reinforcing and
inseparable. Animals, through long-term evolutionary processes, have developed innate …

Advanced myoelectric prosthetic hands are currently limited due to the lack of sufficient
signal sources on amputation residual muscles and inadequate real-time control …

In this work, we present a systematic review on non-invasive HMIs employing hybrid
wearable sensor modalities for recognition of upper limb intentions. Different combinations …

Background Corticomuscular coupling has been investigated for long, to find out the
underlying mechanisms behind cortical drives to produce different motor tasks. Although …