The Application of Activity Recognition Algorithm Based on Three-Dimensional Accelerometer in Virtual Reality Field

DOI

10.2991/icmemtc-16.2016.101How to use a DOI?

Keywords

real-time human motion analysis; tri-axial acceleration transducer; HCI; virtual reality.

Abstract

This paper aims at the head mounted display (HMD) equipment based on smart phones, puts forward a interactive mode in order to improve the immersion of virtual reality (VR) games and applications. Its core is a real-time human motion analysis algorithm based on tri-axial acceleration (TA) sensor. This algorithm uses smart phone built-in sensor to obtain the real-time TA signal produced by human movement, after the processing and classification to the signal through the threshold value method to classify motion state of user, such as: stand, walk, run and jump. Then the results directly reflected in the virtual scene, make user do the same behavior in VR games and applications. The experimental results show that the algorithm can quickly and accurately determine some motions, ensures that the user can get higher immersion in VR experiences.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qing Zhu
AU  - Kai Yang
AU  - Zhiqiang Wang
PY  - 2016/04
DA  - 2016/04
TI  - The Application of Activity Recognition Algorithm Based on Three-Dimensional Accelerometer in Virtual Reality Field
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 522
EP  - 525
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.101
DO  - 10.2991/icmemtc-16.2016.101
ID  - Zhu2016/04
ER  -