Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Motorcycle rider posture prediction:...
~
Claflin, Robert Alan.
Linked to FindBook
Google Book
Amazon
博客來
Motorcycle rider posture prediction: The prediction of spinal curvature as a function of anthropometrics and point-of-contact chassis design.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Motorcycle rider posture prediction: The prediction of spinal curvature as a function of anthropometrics and point-of-contact chassis design./
Author:
Claflin, Robert Alan.
Description:
244 p.
Notes:
Major Professor: Pamela McCauley-Bell.
Contained By:
Dissertation Abstracts International63-05B.
Subject:
Engineering, Automotive. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3054589
ISBN:
0493688889
Motorcycle rider posture prediction: The prediction of spinal curvature as a function of anthropometrics and point-of-contact chassis design.
Claflin, Robert Alan.
Motorcycle rider posture prediction: The prediction of spinal curvature as a function of anthropometrics and point-of-contact chassis design.
- 244 p.
Major Professor: Pamela McCauley-Bell.
Thesis (Ph.D.)--University of Central Florida, 2002.
This research developed a significant motorcycle rider posture prediction capability that relates individual anthropometrics and motorcycle chassis point-of-contact design to the curvature of the spine. This research is a step towards integrating Human Factors and Ergonomics (HFE) as a normal and practical engineering process within motorcycle chassis design. The research was divided into three divisions to build a systematic body of knowledge about motorcycle rider posture. The first division was an initial biomechanical investigation into motorcycle design and an assessment of the moments that push and pull the pelvis, sacrum, and lumbar region of the spine to assume various postures. The second division was a preliminary experiment amassing over 600 subject matter expert responses to an in-depth motorcycle rider posture survey. Findings from this preliminary experiment set an azimuth for continued research, developing initial qualitative relationships and providing insight into what the experts think about chassis design, modification requirements, comfort, and the ability to attain comfort on a motorcycle. The third division of this research was a set of three quantitative experiments that collected detailed spinal and 5-link human representation location data along with anthropometrics of subjects and motorcycle chassis point-of-contact locations. The intent of this data collection effort was the exploration and formulation of a significant relationship between factors that influence the curvature of a human spine while seated on a motorcycle.
ISBN: 0493688889Subjects--Topical Terms:
1018477
Engineering, Automotive.
Motorcycle rider posture prediction: The prediction of spinal curvature as a function of anthropometrics and point-of-contact chassis design.
LDR
:03438nam 2200289 a 45
001
934985
005
20110509
008
110509s2002 eng d
020
$a
0493688889
035
$a
(UnM)AAI3054589
035
$a
AAI3054589
040
$a
UnM
$c
UnM
100
1
$a
Claflin, Robert Alan.
$3
1258679
245
1 0
$a
Motorcycle rider posture prediction: The prediction of spinal curvature as a function of anthropometrics and point-of-contact chassis design.
300
$a
244 p.
500
$a
Major Professor: Pamela McCauley-Bell.
500
$a
Source: Dissertation Abstracts International, Volume: 63-05, Section: B, page: 2528.
502
$a
Thesis (Ph.D.)--University of Central Florida, 2002.
520
$a
This research developed a significant motorcycle rider posture prediction capability that relates individual anthropometrics and motorcycle chassis point-of-contact design to the curvature of the spine. This research is a step towards integrating Human Factors and Ergonomics (HFE) as a normal and practical engineering process within motorcycle chassis design. The research was divided into three divisions to build a systematic body of knowledge about motorcycle rider posture. The first division was an initial biomechanical investigation into motorcycle design and an assessment of the moments that push and pull the pelvis, sacrum, and lumbar region of the spine to assume various postures. The second division was a preliminary experiment amassing over 600 subject matter expert responses to an in-depth motorcycle rider posture survey. Findings from this preliminary experiment set an azimuth for continued research, developing initial qualitative relationships and providing insight into what the experts think about chassis design, modification requirements, comfort, and the ability to attain comfort on a motorcycle. The third division of this research was a set of three quantitative experiments that collected detailed spinal and 5-link human representation location data along with anthropometrics of subjects and motorcycle chassis point-of-contact locations. The intent of this data collection effort was the exploration and formulation of a significant relationship between factors that influence the curvature of a human spine while seated on a motorcycle.
520
$a
The result is a significant mathematical capability that predicts the horizontal location for any given vertical location on a rider's vertebral column relative to the rider's anthropometric descriptive information and the chassis point-of-contact design. Once a set of locations is predicted, the set represents discrete points along the curve of a spine. Inversely, specifying a set of locations that represent a desired curve can provide the predicted chassis point-of-contact locations. This relationship between anthropometrics and motorcycle chassis design will enable the chassis engineer to make quantitative choices with respect to expected resultant postures when designing the point-of-contact locations on a chassis and it may provide a revolutionary method to design a more universal chassis that fits a larger proportion of the anthropometrically defined population.
590
$a
School code: 0705.
650
4
$a
Engineering, Automotive.
$3
1018477
650
4
$a
Engineering, Industrial.
$3
626639
690
$a
0540
690
$a
0546
710
2 0
$a
University of Central Florida.
$3
1018467
773
0
$t
Dissertation Abstracts International
$g
63-05B.
790
$a
0705
790
1 0
$a
McCauley-Bell, Pamela,
$e
advisor
791
$a
Ph.D.
792
$a
2002
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3054589
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9105582
電子資源
11.線上閱覽_V
電子書
EB W9105582
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login