Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)

The Virtual Acupuncture Based on Natural Gesture and Force Feedback

Authors
Sijie Lin, Guanglong Du, Ping Zhang
Corresponding Author
Sijie Lin
Available Online June 2017.
DOI
https://doi.org/10.2991/caai-17.2017.110How to use a DOI?
Keywords
virtual acupuncture; nature gesture; force feedback
Abstract
the paper presents a virtual acupuncture system which uses digital virtual human model to carry out the virtual acupuncture experiments by using natural gesture and force feedback. In the paper, five Leap Motions are employed to measure the position and orientation of the operator's hand. Due to the tracking errors and the noise of equipment, the measurement errors will increase over time. So, Kalman Filter and Particle Filter are introduced to estimate the position and orientation of the hand. Then we use 3D Max to build the joint model and OSG (OpenSceneGraph) to refactor the model of the hand. Because it is needed to detect the collision of two models including hand model and human model, here the K-DOPs collision detection algorithm is used to achieve it. When the hand model and the human model collide, we need to use noncontact force feedback which using Lorentz Force to let the operator experience the drag force like it comes from the human model through simply wearing a small magnet. Therefore, the virtual Acupuncture experiment can be carried out successfully on the digital virtual human model.
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Proceedings
2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
Part of series
Advances in Intelligent Systems Research
Publication Date
June 2017
ISBN
978-94-6252-360-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/caai-17.2017.110How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Sijie Lin
AU  - Guanglong Du
AU  - Ping Zhang
PY  - 2017/06
DA  - 2017/06
TI  - The Virtual Acupuncture Based on Natural Gesture and Force Feedback
BT  - 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
PB  - Atlantis Press
SP  - 489
EP  - 493
SN  - 1951-6851
UR  - https://doi.org/10.2991/caai-17.2017.110
DO  - https://doi.org/10.2991/caai-17.2017.110
ID  - Lin2017/06
ER  -