Flexible electronics are integral in numerous domains such as wearables, healthcare,
physiological monitoring, human–machine interface, and environmental sensing, owing to …

Human–machine interaction (HMI) establishes an interconnected bridge between humans
and robots and plays a significant role in industry and medical fields. However, the …

Electrooculogram (EOG) is a well-known physiological metric picked up by placing two or
more electrodes around the eyeball. EOG signals are known to be extremely susceptible to …

Human eye activity has been widely studied in many fields such as psychology,
neuroscience, medicine, and human-computer interaction engineering. In previous studies …

This paper aims to design a hardware optimized machine learning based Electrooculogram
(EOG) signal processor to classify eye movements. EOG is the recording of the resting …

In this work a versatile hardware platform based on reconfigurable devices is presented.
This platform it intended for the acquisition of multiple biosignals, only requiring a …

In recent years, electrooculography (EOG) has become a well-established method used in
studies related to neuroscience, cognition analysis, psychological behavior, assistive …

In recent studies, electroencephalogram (EEG) signals are acquired intraorally from the
palate region. However, intraoral EEG study is a less explored research area and its …

This study designs an optimal control model of dance personnel from tracking technology
and limb control based on an action evaluation algorithm by constructing a human action …

It is estimated that by 2030 the number of people with disabilities will rise, thereby increasing
the demand for assistive devices. Eye tracking has served as an alternative for the …