The electrooculogram (EOG) is one of the most significant signals carrying eye movement
information, such as blinks and saccades. There are many human–computer interface (HCI) …

Detection of eye movement types whether the movement of the eye itself or blinking has
attracted a lot of recent research. In this paper, one method to detect the type of wink or blink …

Intelligent robotic systems for patients with motor impairments have gained significant
interest over the past few years. Various sensor types and human-machine interface (HMI) …

The electrooculogram (EOG) signal is used to analyse user intentions through vertical and
horizontal eye movements within a frequency range of 0.5 Hz to 40 Hz. EOG signals have …

This study addresses the challenge of multi-dimensional and small gas sensor data
classification using a gelatin–carbon black (CB-GE) composite film sensor, achieving 91.7 …

This paper explores the classification of gaze direction using electrooculography (EOG)
signals, integrating signal processing, deep learning, and ensemble learning techniques to …

Work fatigue can cause a decrease in cognitive function, such as decreased thinking ability,
concentration, and memory. A tired brain cannot work optimally, interfering with a person's …

Electroencephalography (EEG) is a commonly used technique for assessing brain activity
through electrodes placed on the scalp. EEG signals hold significant information often …

As technology continues to advance, the utilization of electrooculographic signals (EOG) in
human-computer interaction and the biomedical field has progressively expanded. Notably …

In this paper, we investigate an Internet of Things (IoT)-based platform utilizing
Electrooculography (EOG) to assist, control, and monitor a smart home environment in real …