Fatigue in the Workplace

Belenky, Gregory; Lamp, Amanda; Hemp, Anna; Zaslona, Jennifer L

doi:10.1007/978-1-4614-9087-6_18

Cited by 9 publications

(10 citation statements)

References 41 publications

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“…Fatigue degrades an individual's performances and can lead to errors and, potentially fatal, accidents in many settings, such as on the road [55,56], or in the workplace [57]. The early and remote diagnosis of fatigue is therefore potentially lifesaving on the roads and in related transport industries such as aeronautical and freight [58]. Fatigue contains both cognitive and physical aspects, which are expected to have notable effects on speech.…”

Section: Sleepiness (2011)mentioning

confidence: 99%

Speech analysis for health: Current state-of-the-art and the increasing impact of deep learning

Cummins

Baird

Schuller

2018

Methods

131

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Due to the complex and intricate nature associated with their production, the acoustic-prosodic properties of a speech signal are modulated with a range of health related effects. There is an active and growing area of machine learning research in this speech and health domain, focusing on developing paradigms to objectively extract and measure such effects. Concurrently, deep learning is transforming intelligent signal analysis, such that machines are now reaching near human capabilities in a range of recognition and analysis tasks. Herein, we review current state-of-the-art approaches with speech-based health detection, placing a particular focus on the impact of deep learning within this domain. Based on this overview, it is evident while that deep learning based solutions be become more present in the literature, it has not had the same overall dominating effect seen in other related fields. In this regard, we suggest some possible research directions aimed at fully leveraging the advantages that deep learning can offer speech-based health detection.

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Section: Sleepiness (2011)mentioning

confidence: 99%

Speech analysis for health: Current state-of-the-art and the increasing impact of deep learning

Cummins

Baird

Schuller

2018

Methods

131

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“…Fatigue degrades performance and health, causing errors, incidents and accidents in operational contexts. Technological progress has made 24-h-a-day and 7-days-a-week operations possible, integrating human activity worldwide and increasing exposure to fatigue-creating factors [6]. Military operations are fraught with such events, since the new technological complexity, the lethality of weapons systems, and the rapid worldwide response capabilities make soldiers' performance more critical to mission success than ever before.…”

Section: Introductionmentioning

confidence: 99%

Non-Invasive Physiological Monitoring for Physical Exertion and Fatigue Assessment in Military Personnel: A Systematic Review

Bustos

Guedes

Vaz

et al. 2021

IJERPH

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During operational activities, military personnel face extremely demanding circumstances, which when combined lead to severe fatigue, influencing both their well-being and performance. Physical exertion is the main condition leading to fatigue, and its continuous tracking would help prevent its effects. This review aimed to investigate the up-to-date progress on non-invasive physiological monitoring to evaluate situations of physical exertion as a pre-condition to fatigue in military populations, and determine the potential associations between physiological responses and fatigue, which can later result in decision-making indicators to prevent health-related consequences. Adhering to the PRISMA Statement, four databases (Scopus, Science Direct, Web of Science and PubMed) were used for a literature search based on combinations of keywords. The eligibility criteria focused on studies monitoring physiological variables through non-invasive objective measurements, with these measurements being developed in military field, combat, or training conditions. The review process led to the inclusion of 20 studies. The findings established the importance of multivariable assessments in a real-life context to accurately characterise the effects of military practices. A tendency for examining heart rate variables, thermal responses, and actigraphy measurements was also identified. The objectives and experimental protocols were diverse, but the effectiveness of non-invasive measurements in identifying the most fatigue-inducing periods was demonstrated. Nevertheless, no assessment system for standardised application was presented. Future work may include the development of assessment methods to translate physiological recordings into actionable information in real-time and mitigate the effects of fatigue on soldiers’ performance accurately.

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“…In general, it can be understood as a reduction in physical and mental capacity to perform activities at the desired level due to exhaustion of mental or physical strength (Hallowell, 2010;Ream & Richardson, 1996). Fatigue degrades performance and well-being, leading to error, incident, and accident in operational settings (Belenky et al, 2014). Because of the potential influence of fatigue on health, safety, and productivity, any organisation in which individuals work extended hours, or hours in which people typically sleep, can experience fatigue in the workplace.…”

Section: Introductionmentioning

confidence: 99%

4th Symposium on Occupational Safety and Health Proceedings Book

Pinho¹,

Baptista²,

Niquice³

et al. 2021

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Introduction: Falls from heights represent one of the most frequent accidents in civil constructions, mainly caused by different roofing activities. The risks should be first evaluated by conducting safety inspections, and then implementing adequate control measures to eliminate or reduce the risks of accidents. New technologies facilitate those inspections and make the processes much more efficient. The objective of this study was to make a systematic review to analyse works which used a drone as a visual tool for such safety inspection activities, systematize main information needed to consider in developing future drone research in civil construction. Methodology: The research was carried out on the Brazilian platform for scientific journals and conferences called "CAPES Portal" through the Preferred Report for Systematic Reviews and Meta-analyzes (PRISMA) methodology. Several keywords were

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Fatigue in the Workplace

Cited by 9 publications

References 41 publications

Speech analysis for health: Current state-of-the-art and the increasing impact of deep learning

Speech analysis for health: Current state-of-the-art and the increasing impact of deep learning

Non-Invasive Physiological Monitoring for Physical Exertion and Fatigue Assessment in Military Personnel: A Systematic Review

4th Symposium on Occupational Safety and Health Proceedings Book

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