Design on the Control System of a Gait Rehabilitation Training Robot Based on Brain-Computer Interface and Virtual Reality Technology
Hui Wang, Quanjun Song, Leijie Zhang, Yongjiu Liu
- Year
- 2012
- Citations
- 5
Abstract
In this paper a control system of a gait rehabilitation training robot based on Brain-Computer Interface (BCI) and virtual reality technology is proposed, which makes the patients' rehabilitation training process more interesting. A technique for measuring the mental states of the human and associated applications based on normal brain signals are examined and evaluated firstly. Secondly, the virtual game starts with the information from the BCI and then it runs in the form of a thread, with the singleton design pattern as the main mode. Thirdly, through the synergistic cooperation with the main software, the virtual game can achieve quick and effective access to blood oxygen, heart rate and other physiological information of the patients. At the same time, by means of the hardware control system, the start-up of the gait rehabilitation training robot could be controlled accurately and effectively. Therefore, the plantar pressure information and the velocity information, together with the physiological information of the patients, would be properly reflected in the game lastly and the physical condition of the patients participating in rehabilitation training would also be reflected to a great extent.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002