Biomechanically Based Workspace Generation Considering Joint Muscular Strengths, Body Weight and Hand Load Weight Auburn University

Format:

Conference/Event

Author/Creator:

Park, Woojin, author.

Conference Name:

2007 Digital Human Modeling Conference (2007-06-12 : Seattle, Washington, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2007

Summary:

The existing models and algorithms for predicting human reachable workspaces do not allow users to specify important performer and task parameters, such as body weight and muscular strengths of reach performer and hand-held object's weight. This makes it difficult to consider individuals with unique physical characteristics (e.g., obesity, muscle strength deficiencies and injuries) and many common tasks involving hand-held objects during reach analyses. To address this, this study presents a novel, biomechanically based workspace generation algorithm. Given a set of input data specified in terms of body dimensions, joint ranges of motion, body joints muscular strengths, gender, body weight of a reach performer and a hand-held load weight, the algorithm generates the corresponding reachable workspace. The algorithm combines the existing human figure based modeling approach with empirically obtained biomechanical data and established biomechanical models and constraints

Notes:

Vendor supplied data

Publisher Number:

2007-01-2496

Access Restriction:

Restricted for use by site license