Neck posture and muscle activity in a reclined business class aircraft seat watching IFE with and without head support

Smulders, Maxim; Naddeo, Alessandro; Cappetti, Nicola; Grondelle, Elmer D. van; Schultheis, Udo W.; Vink, P.

doi:10.1016/j.apergo.2018.12.014

Cited by 37 publications

(22 citation statements)

References 39 publications

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“…Aircraft and HSTs were used as the binary variables. Independent‐sample t ‐tests were used to analyze the mean differences of the independent variables (aircraft and HSTs) in the test variables (comfort evaluation of the main comfort factors and the latent indicators) as well as their significance (Harih & Dolšak, 2014; Smulders et al, 2019).…”

Section: Methodsmentioning

confidence: 99%

“…Research on aircraft cabin comfort typically includes two parts: interfering factors and the degree of comfort experience (Chen, 2008; Vink et al, 2012); it also includes the influence mechanism of comfort experience (Messner, 2016; Molenbroek et al, 2017; Smulders et al, 2016; Smulders et al, 2019). The former is used to identify comfort enhancement priorities, and the latter is used to develop comfort enhancement methods.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Enhancing aircraft cabin comfort to compete with high‐speed trains: A survey in China

Wang

Zhi

Xiang

et al. 2021

Hum Ftrs & Erg Mfg Svc

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To improve the competitiveness of air transport, this study proposed a method for devising a differentiated comfort enhancement strategy and compared the comfort of aircraft and high-speed trains (HST). Structural equation modeling (SEM) was used to analyze the similarities and differences in the factors influencing comfort in aircraft cabins and HST compartments. The results showed that comfort in widebody aircraft cabins was mainly influenced by "food & beverage" and "personal inflight entertainment" (personal IFE), whereas comfort in narrow-body aircraft and HSTs was mainly influenced by the "passenger interface." The results also showed no significant difference in the overall comfort evaluation of the passenger interface between narrow-body aircraft and HSTs. Furthermore, aircraft passenger ratings were significantly lower than those of HST passengers with regard to "spaciousness," "seat comfort," and "seat and cabin and compartment aesthetics." The study results suggest that given competition from HSTs, airlines should use different comfort enhancement strategies for wide-body and narrow-body aircraft cabins.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Enhancing aircraft cabin comfort to compete with high‐speed trains: A survey in China

Wang

Zhi

Xiang

et al. 2021

Hum Ftrs & Erg Mfg Svc

View full text Add to dashboard Cite

show abstract

“…On the extraction of facial features, Bhiwapurkar et al [18] processed the facial contour, skin color, and texture through image sharpening and smoothing, and improved the accuracy of finding the matching images in the massive image library for the target face. Smulders et al [19] combined facial contour, skin color, with texture, enhanced the hybrid feature with a self-designed gray-level co-occurrence matrix, and effectively mitigated the disturbance of the complex image background or poor image quality to facial detection and recognition. Lee et al [20] conducted template matching between skin color and texture of human faces, identified the skin area in target images by the Gaussian mixture model, and pinpointed the faces in the images based on the facial contour.…”

Section: Introductionmentioning

confidence: 99%

Detection of Head Raising Rate of Students in Classroom Based on Head Posture Recognition

Guo¹

2020

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The proliferation of smart mobile terminals has weakened the attention and reduced the learning efficiency of students, making them more likely to lower their heads. To quantify the classroom participation, it is helpful to detect the head raising rate (HRR) of students in classroom. To this end, this paper puts forward a novel method to recognize the HRR of students in classroom. Based on the map of predicted facial features, an extraction method was developed for the salient facial features of students, and used to realize model matching between facial contour and facial organ. Next, the face orientation of each student was determined by soft label coding. After that, a multi-task convolutional neural network (CNN) was constructed to detect the HRR of students. The authors also explained the regularization of the loss function, and the steps of target detection. The proposed method was proved effective through experiments. The research results provide a reference for the application of head posture recognition in other fields.

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“…Possible physical, physiological, psychological contributors to travel fatigue[4,9,14,20,61,[70][71][72][73][74][75][76][77][78][79][80][81][82][83][84][85] …”

mentioning

confidence: 99%

Managing Travel Fatigue and Jet Lag in Athletes: A Review and Consensus Statement

Rensburg

Fowler

et al. 2021

Sports Med

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Athletes are increasingly required to travel domestically and internationally, often resulting in travel fatigue and jet lag. Despite considerable agreement that travel fatigue and jet lag can be a real and impactful issue for athletes regarding performance and risk of illness and injury, evidence on optimal assessment and management is lacking. Therefore 26 researchers and/or clinicians with knowledge in travel fatigue, jet lag and sleep in the sports setting, formed an expert panel to formalise a review and consensus document. This manuscript includes definitions of terminology commonly used in the field of circadian physiology, outlines basic information on the human circadian system and how it is affected by time-givers, discusses the causes and consequences of travel fatigue and jet lag, and provides consensus on recommendations for managing travel fatigue and jet lag in athletes. The lack of evidence restricts the strength of recommendations that are possible but the consensus group identified the fundamental principles and interventions to consider for both the assessment and management of travel fatigue and jet lag. These are summarised in travel toolboxes including strategies for pre-flight, during flight and post-flight. The consensus group also outlined specific steps to advance theory and practice in these areas.

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Neck posture and muscle activity in a reclined business class aircraft seat watching IFE with and without head support

Cited by 37 publications

References 39 publications

Enhancing aircraft cabin comfort to compete with high‐speed trains: A survey in China

Enhancing aircraft cabin comfort to compete with high‐speed trains: A survey in China

Detection of Head Raising Rate of Students in Classroom Based on Head Posture Recognition

Managing Travel Fatigue and Jet Lag in Athletes: A Review and Consensus Statement

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