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The placement of grab bars for elderly users is based largely on ADA buildingcodes and does not reflect the large differences in height, mobility, andmuscle power between individual persons. The goal of this study is to see ifthere are any correlations between an elderly user's preferred handlebar poseand various demographic indicators, self-rated mobility for tasks requiringpostural change, and biomechanical markers. For simplicity, we consider onlythe case where the handlebar is positioned directly in front of the user, asthis confines the relevant body kinematics to a 2D sagittal plane. Previouseldercare devices have been constructed to position a handlebar in variousposes in space. Our work augments these devices and adds to the body ofknowledge by assessing how the handlebar should be positioned based on data onactual elderly people instead of simulations.

A Data-Driven Approach to Positioning Grab Bars in the Sagittal Plane for Elderly Persons