In this article, non-invasive hybrid brain–computer interface (hBCI) technologies for
improving classification accuracy and increasing the number of commands are reviewed …

Information about limb movements can be used for monitoring physical activities or for
human-machine-interface applications. In recent years, a technique called Force Myography …

Soft machines are a promising design paradigm for human-centric devices, and systems
required to interact gently with their environment,. To enable soft machines to respond …

Wearable human-machine interfaces (HMIs) are an important class of devices that enable
human and machine interaction and teaming. Recent advances in electronics, materials …

In this paper, a hybrid electroencephalography–functional near-infrared spectroscopy (EEG–
fNIRS) scheme to decode eight active brain commands from the frontal brain region for brain …

Whereas pressure sensors increasingly have received attention as a non-invasive interface
for hand gesture recognition, their performance has not been comprehensively evaluated …

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 …

Advancement in assistive technology has led to the commercial availability of multi-
dexterous robotic prostheses for the upper extremity. The relatively low performance of the …

Artificially intelligent (AI), powerful, and reliable human–machine interfaces (HMIs) are
highly desired for wearable technologies, which proved to be the next advancement when it …

Neurorobotic devices, such as prostheses, exoskeletons, and muscle stimulators, can partly
restore motor functions in individuals with disabilities, such as stroke, spinal cord injury …