Examining the Landscape of Cognitive Fatigue Detection: A Comprehensive Survey DOI Creative Commons
Enamul Karim, Hamza Reza Pavel, Sama Nikanfar

et al.

Technologies, Journal Year: 2024, Volume and Issue: 12(3), P. 38 - 38

Published: March 11, 2024

Cognitive fatigue, a state of reduced mental capacity arising from prolonged cognitive activity, poses significant challenges in various domains, road safety to workplace productivity. Accurately detecting and mitigating fatigue is crucial for ensuring optimal performance minimizing potential risks. This paper presents comprehensive survey the current landscape detection. We systematically review approaches, encompassing physiological, behavioral, performance-based measures, robust objective The further analyzes different challenges, including lack standardized ground truth need context-aware assessment. aims serve as valuable resource researchers practitioners seeking understand address multifaceted challenge

Language: Английский

Look into my eyes: What can eye-based measures tell us about the relationship between physical activity and cognitive performance? DOI Creative Commons
Liye Zou, Fabian Herold, Sebastian Ludyga

et al.

Journal of sport and health science/Journal of Sport and Health Science, Journal Year: 2023, Volume and Issue: 12(5), P. 568 - 591

Published: May 5, 2023

There is a growing interest to understand the neurobiological mechanisms that drive positive associations of physical activity and fitness with measures cognitive performance. To better those mechanisms, several studies have employed eye-based (e.g., eye movement such as saccades, pupillary pupil dilation, vascular retinal vessel diameter) deemed be proxies for specific mechanisms. However, there currently no systematic review providing comprehensive overview these in field exercise-cognition science. Thus, this aimed address gap literature. identify eligible studies, we searched 5 electronic databases on October 23, 2022. Two researchers independently extracted data assessed risk bias using modified version Tool assEssment Study qualiTy reporting EXercise (TESTEX scale, interventional studies) critical appraisal tool from Joanna Briggs Institute (for cross-sectional studies). Our (n = 35 offers following main findings: (a) insufficient evidence available draw solid conclusions concerning gaze-fixation-based measures; (b) pupillometric measures, which are proxy noradrenergic system, can explain effect acute exercise cardiorespiratory performance mixed; (c) training- or fitness-related changes cerebrovascular system (operationalized via vasculature) are, general, positively associated improvements; (d) chronic exercises show based an oculomotor-based measure executive function antisaccade tasks); (e) association between partly mediated by dopaminergic spontaneous eye-blink rate). This confirmation provide valuable insight into may due limited number utilizing methods obtaining pupillometry, analysis, blink rate) investigating possible dose–response relationship, further research necessary before more nuanced drawn. Given economical non-invasive, hope will foster future application

Language: Английский

Citations

34

You Can’t Hide Behind Your Headset: User Profiling in Augmented and Virtual Reality DOI Creative Commons
Pier Paolo Tricomi, Federica Nenna, Luca Pajola

et al.

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 9859 - 9875

Published: Jan. 1, 2023

Augmented and Virtual Reality (AR VR), collectively known as Extended (XR), are increasingly gaining traction thanks to their technical advancement the need for remote connections, recently accentuated by pandemic. Remote surgery, telerobotics, virtual offices only some examples of successes. As users interact with XR, they generate extensive behavioral data usually leveraged measuring human activity, which could be used profiling users' identities or personal information (e.g., gender). However, several factors affect efficiency profiling, such technology employed, action taken, mental workload, presence bias, sensors available. To date, no study has considered all these together in entirety, limiting current understanding XR profiling. In this work, we provide a comprehensive on user technologies (i.e., AR, VR). Specifically, employ machine learning head, controllers, eye data) identify infer individual attributes age, Toward end, propose general framework that can potentially any from scenarios. We test our eleven generic actions walking, searching, pointing) involving low high loads, derived two distinct use cases: an AR everyday application (34 participants) VR robot teleoperation (35 participants). Our limits burden creating technology- action-dependent algorithms, also reducing experimental bias evidenced previous providing simple (yet effective) baseline future works. identified up 97% F1-score 80% AR. Gender Age inference was facilitated VR, reaching 82% 90% F1-score, respectively. Through in-depth analysis sensors' impact, found resulting more effective than mainly because presence.

Language: Английский

Citations

29

Review of Stress Detection Methods Using Wearable Sensors DOI Creative Commons
Georgios V. Taskasaplidis,

Dimitris A. Fotiadis,

Panagiotis D. Bamidis

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 38219 - 38246

Published: Jan. 1, 2024

Stress is a significant factor that affects well-being and health. Factors trigger stress include work, social interactions, economic environmental factors. may cause lower labor productivity, physical mental health problems, malfunctions in all aspects of life. Psychosomatic can be improved if proper detection mechanisms are present daily life reduction methods occur. Wearable sensors currently used many commercial scientific applications non-destructive or annoying manner. These devices routines. In this paper, comprehensive review the latest literature developments presented through extensive holistic research on response, both at level autonomic nervous system (ANS) hypothalamic-pituitary-adrenal axis (HPA). This study focused exploitation various methods, technologies, data analysis systems to understand multifaceted Various stress-related factors along with biological signal measurements, secretions biomarkers primarily for detection. Furthermore, manner which body movement posture measurements related was investigated, together speech hand tremors. stress-detection technologies have been analyzed, existing applied highlighted. serves as reference guideline exploring area interest, identifying opportunities, offering ideas, options, suggestions optimized solutions regarding future research.

Language: Английский

Citations

13

Neuropsychobiology of fear-induced bradycardia in humans: progress and pitfalls DOI Creative Commons
Simone Battaglia, Claudio Nazzi, Tina B. Lonsdorf

et al.

Molecular Psychiatry, Journal Year: 2024, Volume and Issue: unknown

Published: June 11, 2024

In the last century, paradigm of fear conditioning has greatly evolved in a variety scientific fields. The techniques, protocols, and analysis methods now most used have undergone progressive development, theoretical technological, improving quality productions. Fear-induced bradycardia is among these techniques represents temporary deceleration heart beats response to negative outcomes. However, it often been as secondary measure assess defensive responding threat, along other more popular techniques. this review, we aim at paving road for its employment an additional tool experiments humans. After overview studies carried out throughout describe recent evidence up contemporary research insights. Lastly, provide some guidelines concerning best practices adopt human which investigate fear-induced bradycardia.

Language: Английский

Citations

12

Examining the Landscape of Cognitive Fatigue Detection: A Comprehensive Survey DOI Creative Commons
Enamul Karim, Hamza Reza Pavel, Sama Nikanfar

et al.

Technologies, Journal Year: 2024, Volume and Issue: 12(3), P. 38 - 38

Published: March 11, 2024

Cognitive fatigue, a state of reduced mental capacity arising from prolonged cognitive activity, poses significant challenges in various domains, road safety to workplace productivity. Accurately detecting and mitigating fatigue is crucial for ensuring optimal performance minimizing potential risks. This paper presents comprehensive survey the current landscape detection. We systematically review approaches, encompassing physiological, behavioral, performance-based measures, robust objective The further analyzes different challenges, including lack standardized ground truth need context-aware assessment. aims serve as valuable resource researchers practitioners seeking understand address multifaceted challenge

Language: Английский

Citations

9