This paper firstly introduces common wearable sensors, smart wearable devices and the key
application areas. Since multi-sensor is defined by the presence of more than one model or …

Electroencephalography (EEG) and electromyography (EMG) are widespread and well-
known quantitative techniques used for gathering biological signals at cortical and muscular …

Stroke and related complications such as hemiplegia and disability create huge burdens for
human society in the 21st century, which leads to a great need for rehabilitation and daily life …

Wearable robotic exoskeletons have emerged as an exciting new treatment tool for
disorders affecting mobility; however, the human–machine interface, used by the patient for …

Alertness mechanism of unmanned monitoring vehicles to environment is important.
Especially, the vigilance modeling of underground security robots has a particularly …

In the lower limb exoskeleton assistance system, motion intention understanding based on
biological signals is the human–computer interface's (HMIs) key technology. Due to the …

Delivering health care at home emerged as a key advancement to reduce healthcare costs
and infection risks, as during the SARS-Cov2 pandemic. In particular, in motor training …

Intention detection of the reaching movement is considerable for myoelectric human and
machine collaboration applications. A comprehensive set of handcrafted features was mined …

In brain-computer interface and neuroscience, electroencephalography (EEG) signals have
been well studied with not only cognitive activities but also physical activities. This work …

In this work, a novel multi-modal device that allows data to simultaneously be collected from
three noninva-sive sensor modalities was created. Force myography (FMG), surface …