The objective of this study was to apply diverse machine learning algorithms to differentiate low and high MWL levels using a variety of psychophysiological signals (obtained from fNIRS, ECG, and pupillometry). In this study, we assessed various …
This study aims to explore the differences in sustained attention load caused by functional partitioning and object distribution on desktops, as measured by functional near-infrared spectroscopy (fNIRS), providing a basis for optimizing study/office …
The complex environment of night flights poses unique challenges to flight training safety. During night flight training, pilots must not only master general flight techniques but also overcome the intricate factors associated with nighttime …
Personnel selection and agent readiness are critical priorities for defense organizations, particularly in ensuring staff are adequately prepared for high-stakes environments such as public safety and military operations. Readiness assessments …
This chapter delves into the critical role of oxygen metabolism in skeletal muscles during dynamic exercise, emphasizing the importance of efficient oxygen supply to sustain muscle activity, particularly during high-intensity efforts. The study …
Research investigating aging and neurological disorders that affect gait and balance aims to increase the understanding of the underlying neural mechanisms involved in task performance. Traditional brain-imaging techniques are restricted in their use …
Designing training programs such that students are fully prepared for real-world scenarios can be challenging, particularly when preparing individuals for safety-critical roles that necessitate performing under conditions of high stress and mental …
The Global Burden of Disease Study highlights diabetes’ substantial impact, contributing to health disasters, such as amputations of limbs, blindness, and severe cognitive impairments. Diabetes, with its elevated glucose levels, can lead to human …
Problematic smartphone use (PSU) is common among young people and linked to poor academic performance. However, how PSU affects learning processes remains unclear. This study investigated the influence of auditory cue stimulation during a reading …
The purpose of this study was to clarify the characteristics of muscle fatigue by measuring the oxygenation of muscles during wheelchair sprinting in wheelchair basketball players, using near-infrared spectroscopy (NIRS). We believe that this …
Past research has demonstrated the validity of co-evolutionary model in depicting human design activities, while few empirical studies have articulated the connections between design behavior and implicit cognitive process during team-level design …
The development of underwater Near-Infrared Spectroscopy (uNIRS) has enabled the measurement of tissue oxygenation within the swim environment. Unique physiological responses, such as the diving reflex, have been shown to occur during synchronized …
Quantified-self sleep tracking devices such as Fitbit are gaining great popular in recent years. However, users often complain about the discrepancy between the data collected with sleep trackers and their subjective sleep experience, which is often …
This paper aims to deeper study the relations between cognitive control and mental workload. Indeed, cognitive control is a contemporary concept in neuroscience and cognitive ergonomics, that can explain the metacognition carried out by operators in …
Brain Computer Interfaces (BCI) have so far been used primarily in the medical context. The question arises whether an interface between brain and user device could be established as an innovative technology in everyday life and which potential …
Brain-computer interfaces and wearable neurotechnologies are now used to measure real-time neural and physiologic signals from the human body and hold immense potential for advancements in medical diagnostics, prevention, and intervention. Given the …
Transcranial direct current stimulation (tDCS) is a noninvasive and portable brain stimulation technique that is ideally suited to augment human brain performance in everyday settings. The aim of this study was to measure and model the time course of …
The success of brain-computer interfaces (BCI) systems is largely dependent on the ability to record and interpret clear neurophysiological signals invasively or noninvasively through the scalp and skull. In particular, two noninvasive techniques of …