An approach to aircraft seat comfort using interface pressure mapping

Ciaccia, Flávia Renata Dantas Alves Silva; Sznelwar, Laerte Idal

doi:10.3233/wor-2012-0163-240

Cited by 22 publications

(21 citation statements)

References 20 publications

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“…This is may be caused by many other mediating factors that influence OCI (i.e., posture and movement). Prior research observed that activity analysis in combination with the pressure mapping evaluation goes beyond the static analysis currently used for measuring comfort of aircraft passenger seats (Ciaccia & Sznelwar, 2012). Another possible explanation is that the sample is small (n = 11), and composed of very young people (23-28 years old Second, the model presented in this study was obtained using data with very specific characteristics (i.e., humidity, atmospheric pressure, and vibration was different from the real flight environment), and the sample is very limited (n = 11).…”

Section: Discussionmentioning

confidence: 99%

Predicting aircraft seat comfort using an artificial neural network

Zhao

Miller³

et al. 2018

Hum Ftrs & Erg Mfg Svc

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Aircraft seat pitch is one of the most important factors affecting passengers ability to sit comfortably for a longer time on the plane. The purpose of this study was to illustrate the association between different seat pitches and overall comfort index, and seat‐interface pressure variables as well as try to predict aircraft seat comfort. Through an experimental study, 11 subjects (age, 26.3 ± 1.6; height, 169.8 ± 8.5; body mass, 65.1 ± 15.6) rated five different seat pitch settings (55 examples, 11 participants and five scenarios). Descriptive statistics, together with one‐way analysis of variance were used to determine which of the metrics could be used to distinguish the overall comfort index. The results show that overall comfort index was statistically significant (p < 0.05) between different seat pitches, but there was no statistically significant difference (p > 0.05) in interface pressure variables. In addition, a multilayer feed forward neural network with one hidden layer was proposed with the help of Matlab Neural Network Toolbox. The model explained 99% of the variance in overall comfort index with the root mean square error (RMSE) of 0.12551. The remainder of the total data was used for validation purposes; the correlation is r = 0.775, p < 0.01, and the RMSE is 1.21031. That suggests this model has a significant relationship between the actual and predicted overall comfort index.

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Section: Discussionmentioning

confidence: 99%

Predicting aircraft seat comfort using an artificial neural network

Zhao

Miller³

et al. 2018

Hum Ftrs & Erg Mfg Svc

View full text Add to dashboard Cite

show abstract

“…In research about home furniture, Teraoka, Mitsuya, and Noro (1994) also found differences between tall and short people: in comparison with tall people, short people had less foot contact with the floor, or less contact with the backrest in combination with a slumped posture. Ciaccia and Sznelwar (2012) concluded that the participants in their study adopted very similar postures for both reading and resting in order to avoid discomfort, despite having different anthropometric characteristics. However, this was based on an observational study with only five participants (Ciaccia and Sznelwar 2012).…”

Section: Effects Of Anthropometry On Posture and Movementmentioning

confidence: 98%

“…Ciaccia and Sznelwar (2012) concluded that the participants in their study adopted very similar postures for both reading and resting in order to avoid discomfort, despite having different anthropometric characteristics. However, this was based on an observational study with only five participants (Ciaccia and Sznelwar 2012). In a driving simulation experiment, Park et al (2013) found a relationship between upper body posture and gender; most of the female drivers preferred a slouched or erect posture, while most of the male drivers preferred a slouched or reclined posture.…”

Section: Effects Of Anthropometry On Posture and Movementmentioning

confidence: 98%

Predicting passenger seat comfort and discomfort on the basis of human, context and seat characteristics: a literature review

et al. 2016

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This literature review focused on passenger seat comfort and discomfort in a human-product-context interaction. The relationships between anthropometric variables (human level), activities (context level), seat characteristics (product level) and the perception of comfort and discomfort were studied through mediating variables, such as body posture, movement and interface pressure. It is concluded that there are correlations between anthropometric variables and interface pressure variables, and that this relationship is affected by body posture. The results of studies on the correlation between pressure variables and passenger comfort and discomfort are not in line with each other. Only associations were found between the other variables (e.g. activities and seat characteristics). A conceptual model illustrates the results of the review, but relationships could not be quantified due to a lack of statistical evidence and large differences in research set-ups between the reviewed papers. Practitioner Summary: This literature review set out to quantify the relationships between human, context and seat characteristics, and comfort and discomfort experience of passenger seats, in order to build a predictive model that can support seat designers and purchasers to make informed decisions. However, statistical evidence is lacking from existing literature.

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“…Lijmbach et al [7] contrasted the differences between elderly and young passengers by analyzing video recordings of the in and egress in seat rows. Ciaccia and Sznelwar [8] assessed dynamically a passengers' discomfort by measuring the interface pressure between the occupant and the seat during the performance of resting and reading of a typical flight. Tan et al [9] evaluated the seat comfort by analyzing sleeping posture of passengers on long haul.…”

Section: Introductionmentioning

confidence: 99%

The Passengers’ Comfort Improvement by Sitting Activity and Posture Analysis in Civil Aircraft Cabin

Liu

Chu

2019

Mathematical Problems in Engineering

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Comfort is becoming an important issue that airlines use to differentiate themselves in a competitive market. Activity and posture, as an integrating external manifestation when passengers interact with the complex cabin system, could be used as an effective way to study passenger comfort. This study aims to analyze the passengers’ comfort perception based on activity and posture analysis performed by passengers on the flight. By recording and reconstructing the activities performed by passengers in a 2-hour simulated flight, the typical activities and the corresponding postures were identified through the video analysis software system MVTA. The passengers remained the greater part of the time performing the activity of sleeping and resting (34.3%), followed by using small electrical devices (32.7%) and reading (16.1%). The main postures in these activities were encoded and displayed in the elliptic structural diagram based on the variations in head, back, arms, and legs. The difficulties and constraints resulted from the seat and cabin were summarized by a questionnaire. Based on the analysis results, the suggestions about seat design, activity guidance, and arrangement were offered from the perspective of supportability, adjustability, affordance, and aesthetics, which would be applied in improving the passengers’ comfort and innovations in cabin and seat.

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An approach to aircraft seat comfort using interface pressure mapping

Cited by 22 publications

References 20 publications

Predicting aircraft seat comfort using an artificial neural network

Predicting aircraft seat comfort using an artificial neural network

Predicting passenger seat comfort and discomfort on the basis of human, context and seat characteristics: a literature review

The Passengers’ Comfort Improvement by Sitting Activity and Posture Analysis in Civil Aircraft Cabin

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