Proceedings of the 2017 7th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)

An analysis of Interactive experience based on the gesture recognition VR system

Authors
Xueqiao Fan, Lei Zhu, Hong Zhang
Corresponding Author
Xueqiao Fan
Available Online July 2017.
DOI
10.2991/icadme-17.2017.75How to use a DOI?
Keywords
VR system, gestural recognition, Performance measurement, emotional evaluation of consumers.
Abstract

With the development of the headset VR equipment of consumer-level and the interactive technology of the headset VR, especially the non-contacting gestural recognition technology in machine vision. The headset VR equipment of gestural recognition became the potential research area in the close interaction. This paper major researches the performance measurement of the VR system of gestural recognition in the Interactive experience the combination between subjective and objective methods. Lastly, the paper provides reference for gestural interaction design based on machine vision by the results of the accuracy of gestural recognition and the emotional evaluation of consumers.

Copyright
© 2017, 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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Volume Title
Proceedings of the 2017 7th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
Series
Advances in Engineering Research
Publication Date
July 2017
ISBN
978-94-6252-349-4
ISSN
2352-5401
DOI
10.2991/icadme-17.2017.75How to use a DOI?
Copyright
© 2017, 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/).

Cite this article

TY  - CONF
AU  - Xueqiao Fan
AU  - Lei Zhu
AU  - Hong Zhang
PY  - 2017/07
DA  - 2017/07
TI  - An analysis of Interactive experience based on the gesture recognition VR system
BT  - Proceedings of the 2017 7th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
PB  - Atlantis Press
SP  - 392
EP  - 398
SN  - 2352-5401
UR  - https://doi.org/10.2991/icadme-17.2017.75
DO  - 10.2991/icadme-17.2017.75
ID  - Fan2017/07
ER  -