International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 17 - Number 2 |
Year of Publication: 2011 |
Authors: Mamatha M.N., S. Ramachandran, M.Chandrasekaran |
10.5120/2196-2790 |
Mamatha M.N., S. Ramachandran, M.Chandrasekaran . Smart Sensor Design Analysis in Brain Machine Interface using Labview. International Journal of Computer Applications. 17, 2 ( March 2011), 1-5. DOI=10.5120/2196-2790
This paper describes a sensory system for implementing a human–computer interface based on bio-potential signal acquisition. The designed acquisition system captures electro oculogram, EEG and transmits them via the RF protocol to a nearby robot. The human machine interface developed will assist a partially paralyzed patients suffering from stoke, etc by helping them to lift the objects in the vicinity of the patient by using the bio-potentials ,thereby controlling the movement of the designed robot. The data acquired are analyzed in real time using a FPGA-based platform. By exploiting the qualities of MULTISIM functionality, design complexity, the design time of these signal circuits can be significantly reduced. Also a comparative analysis is done to prove the design of the hardware developed is accurate to an extent of 90%. The paper aims at the verification and analysis of the developed/designed smart sensors with the design employed using MULTISIM package developed by NI-lab VIEW.