This research explores how different compositions of Individuals with Disabilities (IwDs) affect the dynamics of crowd movement. In particular, we consider IwDs such as individuals on manual and electric wheelchair, with vision loss and other mobility impairments to better understand the impacts that the compositions of individuals with various types of disabilities will bring on the mobility of the crowd at various structural elements of a built environment such as hall way, door way, and stairwells. While currently available video tracking technologies provide options for primitive macroscopic and microscopic analysis of a crowd, they lack the ability to analyze detailed navigational information of each focused group such as IwDs with varying types of disabilities. This paper provides an approach that exploits ARToolKitPlus libraries and Power-over-Ethernet high speed cameras along with augmented reality elements to track navigational patterns at individual level in a crowd. Preliminary results demonstrate the feasibility of the proposed system to track individual tracking of navigational patterns.

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