Assessing manual lifting tasks based on segment angle interpolations.
This study investigates the effects of the number of interpolation points on the prediction accuracy of segment angle trajectory during lifting. Ten participants performed various lifting tasks while a motion tracking system recorded their movements. Two-point through ten-point equal time-spaced seg...
| Publicado en: | Work Vol. 41; pp. 2360 - 2364 |
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| Autores principales: | , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2012 Supplement
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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=104522959&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104522959 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10519815 3RC jtl: Work issn: 10519815 maglogo: N pubinfo: dt: 2012 Supplement vid: 41 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 104522959 71928594 10.3233/wor-2012-0465-2360 104522959 ppf: 2360 ppct: 4 formats: fmt: @attributes: type: P tig: atl: Assessing manual lifting tasks based on segment angle interpolations. aug: au: Soares, Marcelo M. Jacobs, Karen Chang, Chien-Chi Xu, Xu Faber, Gert S. Kingma, Idsart Dennerlein, Jack affil: Liberty Mutual Research Institute for Safety, 71 Frankland Road, Hopkinton, MA 01748, USA sug: subj: Lifting Evaluation Posture Movement Task Performance and Analysis Human Simulations Male Adult Descriptive Statistics Videorecording Coding Adult: 19-44 years Male ab: This study investigates the effects of the number of interpolation points on the prediction accuracy of segment angle trajectory during lifting. Ten participants performed various lifting tasks while a motion tracking system recorded their movements. Two-point through ten-point equal time-spaced segment angles extracted from major segment trajectory data captured by the motion tracking system were used to re-generate the whole body lifting motion by using polynomial and cubic spline interpolation methods. The root mean square error (RMSE) between the reference (motion tracking system) and the estimated (interpolation method) segment angle trajectories were calculated to quantify the prediction accuracy. The results showed that the cubic spline interpolation will yield a smaller RMSE value than one based on the polynomial interpolation. While increasing the number of interpolation points can reduce the RMSE of the estimated segment angle trajectories, there was a diminishing advantage in continuing to add interpolation points. A sensitivity analysis suggests that if the estimation of the segment angles at each interpolation point deviates considerably from the real value, and cannot be controlled at a low level (<10> pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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