BCI controller based on imagery activity using shortest path algorithm

Author

Krishna, D. Hari ; Jagadeesh, N.V. ; Pasha, I.A. ; Savithri, T. Satya

Author_Institution

Dept. of ECE, Padmasri Dr. B. V. Raju Inst. of Technol., Medak, India

fYear

2013

fDate

19-21 Dec. 2013

Firstpage

68

Lastpage

72

Abstract

Assistive robotics will help the physically disabled persons in many ways. They attempt to restore human abilities that have been reduced or lost by disease, accident, or old age. In this paper we described about how the P300 based Brain Computer Interface (BCI) system controller will work and employed to improve the conventional controlling methods by interpreting the normal BCI system with path planning technique like Dijkstra´s algorithm for an autonomous robot. P300 data collected from a healthy subject based on specified imagery brain activity is applied as the input to the proposed controller by adopting those robot features to the wheel chair by using National instruments LabVIEW and its hardware.

Keywords

brain-computer interfaces; control engineering computing; medical image processing; medical robotics; path planning; robot vision; virtual instrumentation; BCI controller; Dijkstra algorithm; LabVIEW; P300 based BCI system; assistive robotics; autonomous robot; brain-computer interface; controlling methods; imagery activity; path planning technique; physically disabled persons; robot features; shortest path algorithm; wheel chair; Asia; Brain-computer interfaces; Conferences; Control systems; Electrodes; Electroencephalography; Robots; BCI; Lab VIEW; P300;

fLanguage

English

Publisher

ieee

Conference_Titel

Microelectronics and Electronics (PrimeAsia), 2013 IEEE Asia Pacific Conference on Postgraduate Research in

Conference_Location

Visakhapatnam

Print_ISBN

978-1-4799-2750-0

Type

conf

DOI

10.1109/PrimeAsia.2013.6731180

Filename

6731180