Title
Using Human Pose Estimation for User-Defined Indoor Location Sensing
Abstract
To implement indoor location sensing convenient and affordable for general households, this paper presents a novel method to simply realize user-defined indoor location sensing using fixed-point camera devices, human pose estimation technologies, and HTML canvas elements. Specifically, our method first captures images of a target space to the browser in real-time, then creates an HTML5 canvas elem...
Year
DOI
Venue
2021
10.1109/PerComWorkshops51409.2021.9431147
2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)
Keywords
DocType
ISBN
Performance evaluation,Pervasive computing,Conferences,Pose estimation,Time series analysis,Cameras,Real-time systems
Conference
978-1-6654-0424-2
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Sinan Chen113.14
Sachio Saiki25524.46
Masahide Nakamura352672.51