Introducing coordination in hand position analysis during a steering wheel-based tracking task using fuzzy sets.
This paper describes a new approach to analyse the way both hands are placed in relation to the steering wheel. The study is based on a 2D-tracking task, in which the stimulus is a steering wheel angle signal recorded while driving on 7 road geometries in real situations at 30 km/h. Hand movements a...
| Publicado en: | Theoretical Issues in Ergonomics Science Vol. 23; no. 4; pp. 475 - 500 |
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| Autores principales: | , , , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Jul2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=158328553&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 158328553 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1463922X BDX jtl: Theoretical Issues in Ergonomics Science issn: 1463922X maglogo: Y pubinfo: dt: Jul2022 vid: 23 iid: 4 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 158328553 153126722 158328553 158328553 10.1080/1463922X.2021.1983886 158328553 ppf: 475 ppct: 25 formats: tig: atl: Introducing coordination in hand position analysis during a steering wheel-based tracking task using fuzzy sets. aug: au: Loslever, Pierre Schiro, Jessica Gabrielli, François Pudlo, Philippe affil: Laboratory of Automation, Mechanics and Human Computer Science, CNRS, UMR 8201, Polytechnic University of Hauts de France, Valenciennes, France sug: subj: Automobile Driving Hand Movement Evaluation Motion Analysis Systems Task Performance and Analysis Ergonomics Human Experimental Studies Comparative Studies Descriptive Statistics ab: This paper describes a new approach to analyse the way both hands are placed in relation to the steering wheel. The study is based on a 2D-tracking task, in which the stimulus is a steering wheel angle signal recorded while driving on 7 road geometries in real situations at 30 km/h. Hand movements are measured using a 3D-motion capture system. Data analysis is based on the segmentation of the hand angular position using 8 fuzzy angle windows (labelled as approximately 0°, approximately 45°, etc.), when the hand rests on the steering wheel, one window, else. To obtain information about the coordination aspect, 9 × 9 bivariate windows are considered for each time sample (recorded at 25 Hz); then, the average membership values are computed for each individual driving situation. The individual membership value sets related to the road geometries are studied via Correspondence Analysis, allowing to displaying both the inter- and intra-individual differences and the most discriminating bivariate windows. The methodology with 9 × 9 windows is more complex but implies less information loss than alternative ones e.g. when the two hands are separately analysed, which constitutes 9 + 9 windows and contains no information about the coordination aspect. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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