@inproceedings{c6d263475ee04e038a1712478120438f,
title = "Design of Calibration Module for a Home-based Immersive Game Using Camera Motion Capture System",
abstract = "Immersive exergames at home have become popular due to the advance in gaming headsets. A typical commercial gaming headset contains a head-mounted display (HMD) and a pair of hand-held controllers for interacting with virtual objects. Given this setup, an additional motion capture camera will be needed to allow full-body motion tracking. However, using the motion capture system within the immersive virtual environment (IVE) at home could be challenging since proper setup and calibration are required for a specific home environment. Hence, to simplify the camera setup and calibration issue, this work introduces the design of the calibration module for a motion capture system using the Azure Kinect camera. The calibration module allows the user to perform calibration and self-evaluate the camera setup in the immersive virtual environment. Once it has been calibrated, users can drive a full-body avatar through their body movements in the first-person perspective.",
keywords = "Avatar Registration, Calibration, Camera Motion Capture, Home-based Exergame",
author = "Chung, {Yu Yen} and Annaswamy, {Thiru M.} and Balakrishnan Prabhakaran",
note = "Publisher Copyright: {\textcopyright} 2022 Owner/Author.; 10th ACM Symposium on Spatial User Interaction,SUI 2022 ; Conference date: 01-12-2022 Through 02-12-2022",
year = "2022",
month = dec,
day = "1",
doi = "10.1145/3565970.3567694",
language = "English (US)",
series = "Proceedings - SUI 2022: ACM Conference on Spatial User Interaction",
publisher = "Association for Computing Machinery, Inc",
editor = "Spencer, {Stephen N.}",
booktitle = "Proceedings - SUI 2022",
}