Literature DB >> 12737920

Interface pressure data and the prediction of driver discomfort in road trials.

J Mark Porter1, Diane E Gyi, Hilary A Tait.   

Abstract

An objective measure that will predict discomfort reliably, and which can be used at an early stage in the development of a vehicle and its seating, would have the potential to reduce the prevalence of musculoskeletal problems associated with driving. This paper reports on an extended road trial study to further investigate the potential value of pressure distribution data in the prediction of reported discomfort. Road trial data were collected from three cars and then interface pressure data were recorded for each of the three seats. Clear differences were identified between the cars with respect to reports of discomfort. However, no clear relationship was found between interface pressure data and reported discomfort.

Mesh:

Year:  2003        PMID: 12737920     DOI: 10.1016/S0003-6870(03)00009-7

Source DB:  PubMed          Journal:  Appl Ergon        ISSN: 0003-6870            Impact factor:   3.661


  3 in total

1.  An Objective Measure of Noseband Tightness and Its Measurement Using a Novel Digital Tightness Gauge.

Authors:  Orla Doherty; Thomas Conway; Richard Conway; Gerard Murray; Vincent Casey
Journal:  PLoS One       Date:  2017-01-03       Impact factor: 3.240

2.  Development of a statistical model for predicting seat pressure felt level in simulated condition based on direct and anthropometric measurement.

Authors:  Nor Kamaliana Khamis; Baba Md Deros
Journal:  J Phys Ther Sci       Date:  2018-06-12

3.  Pillow Support Model with Partitioned Matching Based on Body Pressure Distribution Matrix.

Authors:  Yu Li; Jianfeng Wu; Chunfu Lu; Zhichuan Tang; Chengmin Li
Journal:  Healthcare (Basel)       Date:  2021-05-12
  3 in total

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