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How do bicyclists intercept moving gaps in a virtual environment?

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Jodie PlumertAuthors Info & Claims

APGV '08: Proceedings of the 5th symposium on Applied perception in graphics and visualization

Page 188

https://doi.org/10.1145/1394281.1394317

Published: 09 August 2008 Publication History

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Abstract

Coordinating one's actions with the movements of other objects in the environments is important for both interception and avoidance tasks. Recent experiments show that performance in some interception tasks is well explained by a motion control strategy based on adjusting speed to maintain a constant bearing angle (CBA) between an individual's direction of motion and the object to be intercepted [Lenoir et al. 2002]. When the object and observer travel on intersecting, linear trajectories and the object travels with constant speed, then an observer employing the CBA strategy will move with constant speed.

References

[1]

Lenoir, M., Musch, E., Thiery, E., and Savelsbergh, G. J. P. 2002. Rate of change of angular bearing as the relevant property in a horizontal interception task during locomotion. Journal of Motor Behavior 34, 4, 385--401.

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[2]

Plumert, J. M., Kearney, J. K., and Cremer, J. F. 2004. Children's perception of gap affordances: Bicycling across traffic-filled intersections in an immersive virtual environment. Child Development 75, 4, 1243--1253.

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Index Terms

How do bicyclists intercept moving gaps in a virtual environment?
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Image and video acquisition
        Motion capture
  2. Computer graphics
    1. Animation
      1. Motion capture
      2. Motion processing
    2. Graphics systems and interfaces
      1. Virtual reality
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Mixed / augmented reality
      2. Virtual reality

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APGV '08: Proceedings of the 5th symposium on Applied perception in graphics and visualization

August 2008

209 pages

ISBN:9781595939814

DOI:10.1145/1394281

Program Chairs:
Sarah Creem-Regehr
University of Utah
,
Karol Myszkowski
MPI Informatik

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Association for Computing Machinery

New York, NY, United States

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Published: 09 August 2008

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APGV08: ACM Symposium on Applied Perception in Graphics and Visualization

August 9 - 10, 2008

California, Los Angeles

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Overall Acceptance Rate 19 of 33 submissions, 58%

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Vision Based Relative Speed Detection of Moving Objects in a Traffic Environment

Moving object detection and tracking from video captured by moving camera

Adaptive Moving Sliding Mode Control for SISO Systems

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