Driving Posture Measurement using 3D Scanning Measuring Technique

Park, Se Jin; Min, Seung Nam; Subramaniyam, Murali; Lee, Heeran; Shin, Yu Kyung; Jang, Chang Hee; Hwang, Soon Hyun

doi:10.4271/2015-01-1392

Cited by 11 publications

(9 citation statements)

References 16 publications

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“…Height of the front lip of the seat was approximately 37 cm above the floor. The trunk-thigh angle was set to 110° based on the preferred driving posture of a bodyweight group ranging from 60 to 79 kg [3].…”

Section: Methodsmentioning

confidence: 99%

“…Western lifestyle is bound to seated posture during work, travelling or leisure time with more than 50% of wake time spent sitting [1,2]. For this reason, the effects of sitting on health and comfort have been investigated in detail [3–6]. Moreover, the state of comfort is closely related to vigilance and well-being that is needed to ensure productive conditions at a workplace or safe and enjoyable experience while driving or travelling [7–9].…”

Section: Introductionmentioning

confidence: 99%

“…To the best of our knowledge, there is no standard methodology for determining contact area between the body and the seat, and a variety of different methods has been applied. Park et al carried out a study on seat pressure distribution and preferred driving position of Korean drivers wearing tightly fitting clothing [3]. This was done using dedicated seat pressure blankets with resolution of eight and nine segments on the seat and back, respectively.…”

Section: Introductionmentioning

confidence: 99%

“…The aim of this study was to develop a model describing the body contact area with the automotive seat in relation to body characteristics, such as body weight and height. Human subjects and the Western type Newton thermal manikin were seated on a serial-production automotive seat and the contact area was examined separately for the seat and the back using a modified method based on the study by Park et al [3]. Finally, the results were compared to the available literature data for both humans and thermal manikins.…”

Section: Introductionmentioning

confidence: 99%

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Determination of car seat contact area for personalised thermal sensation modelling

et al. 2018

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A lot of daily activities are conducted in a sedentary posture. This includes a thermal interaction between the human and the seat that has implications on thermal perception and comfort. These interactions are investigated by simulating heat and mass transfer, thus, reducing a need for costly and time demanding subject studies. However, it is not clear, from the available literature, what portion of the body surface area is actually affected by the seat with respect to human anthropometry. The aim of this study was to develop a predicting function of the seat contact area based on anthropometric parameters. The results showed strong linear correlation between the contact area obtained by printing a body silhouette on paper placed at the seat and body weight, height, body surface area, and body mass index. The body surface area and the body weight were identified as the best predictors for the contact area.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Determination of car seat contact area for personalised thermal sensation modelling

et al. 2018

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“…These pressure variables could be used for seat comfort assessment [24]. Body pressure distribution was further investigated by Park et al [25], with the help of 3D scanning measuring technique. Alessandro and Sandro [26] developed an evaluating model, which could provide a numerical evaluation for the discomfort level of the driver.…”

mentioning

confidence: 99%

A Study on Objective Evaluation of Vehicle Steering Comfort Based on Driver's Electromyogram and Movement Trajectory

Liu

et al. 2018

IEEE Trans. Human-Mach. Syst.

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The evaluation of driver steering comfort, which is mainly about the haptic driver-vehicle interaction, is important for the optimization of advanced driver assistance systems (ADAS). The current approaches to investigating steering comfort are mainly based on the driver's subjective evaluation, which is time-consuming, expensive, and easily influenced by individual variations. This paper makes some tentative investigation of objective evaluation, which is based on the electromyogram (EMG) and movement trajectory of the driver's upper limbs during steering maneuver. First, a steering experiment with 21 subjects is conducted, and EMG and movement trajectories of the driver's upper limbs are measured, together with their subjective evaluation of steering comfort. Second, five evaluation indices including EMG and movement information are established based on the measurements from the first step. Correlation analyses are conducted between each evaluation index and steering comfort rating (SCR), and the results show that all of the indices have significant correlations with SCR. Then, an artificial neural network (ANN) model is established based on the aforementioned indices and its predicting performance of SCR is demonstrated as acceptable. The results reveal that it may be feasible to establish an objective evaluation approach for vehicle steering comfort.

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