Home >

news Help

Publication Information


Title
Japanese: 
English:Laplacian Vision: Augmenting Motion Prediction via Optical See-Through Head-Mounted Displays 
Author
Japanese: 伊藤勇太, J. Orlosky, 清川清, G. Klinker.  
English: Yuta Itoh, J. Orlosky, K. Kiyokawa, G. Klinker.  
Language English 
Journal/Book name
Japanese: 
English:ACM Digital Library 
Volume, Number, Page Vol. Article No.16    num. 16    pp. 1-8
Published date Feb. 25, 2016 
Publisher
Japanese: 
English:ACM 
Conference name
Japanese: 
English:The 7th Augmented Human International Conference 2016 
Conference site
Japanese: 
English:Switzerland 
DOI https://doi.org/10.1145/2875194.2875227
Abstract Naive physics [7], or folk physics, is our ability to understand physical phenomena. We regularly use this ability in life to avoid collisions in traffic, follow a tennis ball and time the return shot, or while working in dynamic industrial settings. Though this skill improves with practice, it is still imperfect, which leads to mistakes and misjudgments for time intensive tasks. People still often miss a tennis shot, which might cause them to lose the match, or fail to avoid a car or pedestrian, which can lead to injury or even death.As a step towards reducing these errors in human judgement, we present Laplacian Vision (LV), a vision augmentation system which assists the human ability to predict future trajectory information. By tracking real world objects and estimating their trajectories, we can improve a users's prediction of the landing spot of a ball or the path of an oncoming car. We have designed a system that can track a flying ball in real time, predict its future trajectory, and visualize it in the user's field of view. The system is also calibrated to account for end-to-end delays so that the trajectory appears to emanate forward from the moving object. We also conduct a user study where 29 subjects predict an object's landing spot, and show that prediction accuracy improves 3 fold using LV.

©2007 Tokyo Institute of Technology All rights reserved.