A MoCap system for real-time entertainment interaction

Liuqing Xu; Fengquan Zhang

doi:10.1117/12.2576964

12 October 2020 A MoCap system for real-time entertainment interaction

Liuqing Xu, Fengquan Zhang

Proceedings Volume 11574, International Symposium on Artificial Intelligence and Robotics 2020; 115740M (2020) https://doi.org/10.1117/12.2576964
Event: International Symposium on Artificial Intelligence and Robotics (ISAIR), 2020, Kitakyushu, Japan

Abstract

In our paper, a game framework based on motion capture device is designed that can meet virtual and real interaction for people and its surrounding. Firstly, we design a method to reduce the noise from the device of motion capture using Kalman filter method. From our experiments, we find our method can calculate the location of marker and improve data accuracy. In order to use in game, a collision detecting method is used based on the shape of object, which can prevent object penetration well during game entertainment. In the end, the game framework and system are implemented and designed with our capture device. The experiment results show that our method obtain a good interaction in different scenes with human and virtual objects or real objects.

Citation Download Citation

Liuqing Xu and Fengquan Zhang "A MoCap system for real-time entertainment interaction", Proc. SPIE 11574, International Symposium on Artificial Intelligence and Robotics 2020, 115740M (12 October 2020); https://doi.org/10.1117/12.2576964

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available