Title
Simulating Realistic Human Motion Trajectories of Mid-Air Gesture Typing
Abstract
The eventual success of many AR and VR intelligent interactive systems relies on the ability to collect user motion data at large scale. Realistic simulation of human motion trajectories is a potential solution to this problem. Simulated user motion data can facilitate prototyping and speed up the design process. There are also potential benefits in augmenting training data for deep learning-based...
Year
DOI
Venue
2021
10.1109/ISMAR52148.2021.00056
2021 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)
Keywords
DocType
ISSN
Training,Solid modeling,Adaptation models,Layout,Fingers,Keyboards,Training data
Conference
1554-7868
ISBN
Citations 
PageRank 
978-1-6654-0158-6
1
0.35
References 
Authors
0
3
Name
Order
Citations
PageRank
Junxiao Shen110.35
John Dudley210.35
Per Ola Kristensson3131791.21