Utilizing augmented reality technology for crowd pedestrian analysis involving individuals with disabilities

Daniel Stuart; Keith Christensen; Anthony Chen; Yong Kim; Yang Quan Chen

doi:10.1115/DETC2013-12765

Utilizing augmented reality technology for crowd pedestrian analysis involving individuals with disabilities

Daniel Stuart, Keith Christensen, Anthony Chen, Yong Kim, Yang Quan Chen

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

15 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	18th Design for Manufacturing and the Life Cycle Conference; 2013 ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications
Publisher	American Society of Mechanical Engineers
Volume	4
ISBN (Print)	9780791855911
DOIs	https://doi.org/10.1115/DETC2013-12765
Publication status	Published - 1 Jan 2013
Externally published	Yes
Event	ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2013 - Portland, OR, United States Duration: 4 Aug 2013 → 7 Aug 2013

Conference

Conference	ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2013
Country/Territory	United States
City	Portland, OR
Period	4/08/13 → 7/08/13

ASJC Scopus subject areas

Modelling and Simulation
Mechanical Engineering
Computer Science Applications
Computer Graphics and Computer-Aided Design

More information

10.1115/DETC2013-12765

Cite this

Stuart, D., Christensen, K., Chen, A., Kim, Y., & Chen, Y. Q. (2013). Utilizing augmented reality technology for crowd pedestrian analysis involving individuals with disabilities. In 18th Design for Manufacturing and the Life Cycle Conference; 2013 ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications (Vol. 4). Article V004T08A004 American Society of Mechanical Engineers. https://doi.org/10.1115/DETC2013-12765

Stuart, Daniel ; Christensen, Keith ; Chen, Anthony et al. / Utilizing augmented reality technology for crowd pedestrian analysis involving individuals with disabilities. 18th Design for Manufacturing and the Life Cycle Conference; 2013 ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications. Vol. 4 American Society of Mechanical Engineers, 2013.

@inproceedings{24f3a9d3c7c547b591f54d914840da3e,

title = "Utilizing augmented reality technology for crowd pedestrian analysis involving individuals with disabilities",

abstract = "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.",

author = "Daniel Stuart and Keith Christensen and Anthony Chen and Yong Kim and Chen, {Yang Quan}",

year = "2013",

month = jan,

day = "1",

doi = "10.1115/DETC2013-12765",

language = "English",

isbn = "9780791855911",

volume = "4",

booktitle = "18th Design for Manufacturing and the Life Cycle Conference; 2013 ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications",

publisher = "American Society of Mechanical Engineers",

note = "ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2013 ; Conference date: 04-08-2013 Through 07-08-2013",

}

Stuart, D, Christensen, K, Chen, A, Kim, Y & Chen, YQ 2013, Utilizing augmented reality technology for crowd pedestrian analysis involving individuals with disabilities. in 18th Design for Manufacturing and the Life Cycle Conference; 2013 ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications. vol. 4, V004T08A004, American Society of Mechanical Engineers, ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2013, Portland, OR, United States, 4/08/13. https://doi.org/10.1115/DETC2013-12765

Utilizing augmented reality technology for crowd pedestrian analysis involving individuals with disabilities. / Stuart, Daniel; Christensen, Keith; Chen, Anthony et al.
18th Design for Manufacturing and the Life Cycle Conference; 2013 ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications. Vol. 4 American Society of Mechanical Engineers, 2013. V004T08A004.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Utilizing augmented reality technology for crowd pedestrian analysis involving individuals with disabilities

AU - Stuart, Daniel

AU - Christensen, Keith

AU - Chen, Anthony

AU - Kim, Yong

AU - Chen, Yang Quan

PY - 2013/1/1

Y1 - 2013/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84899122265&partnerID=8YFLogxK

U2 - 10.1115/DETC2013-12765

DO - 10.1115/DETC2013-12765

M3 - Conference article published in proceeding or book

SN - 9780791855911

VL - 4

BT - 18th Design for Manufacturing and the Life Cycle Conference; 2013 ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications

PB - American Society of Mechanical Engineers

T2 - ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2013

Y2 - 4 August 2013 through 7 August 2013

ER -

Stuart D, Christensen K, Chen A, Kim Y, Chen YQ. Utilizing augmented reality technology for crowd pedestrian analysis involving individuals with disabilities. In 18th Design for Manufacturing and the Life Cycle Conference; 2013 ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications. Vol. 4. American Society of Mechanical Engineers. 2013. V004T08A004 doi: 10.1115/DETC2013-12765

Utilizing augmented reality technology for crowd pedestrian analysis involving individuals with disabilities

Abstract

Conference

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this