Implementation of EEG based control of remote robotic systems

Tathagata Chakraborti, Abhronil Sengupta, Dhrubojyoti Banerjee, Amit Konar, Saugat Bhattacharyya, Anwesha Khasnobish, R. Janarthanan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

Abstract

The paper provides a novel approach to control the motion and orientation of a mobile robot using an encoded sequence of arm movements, obtained from the motor imagery indicated by electroencephalographic measurements. The importance of the proposed scheme lies in maintaining secrecy and privacy in control or management of remote robotic systems, as the signals liberated from the user's brain is not accessible to any third party even during the execution phase of the command and hence can find applications in the defense sector. For our demonstration we have successfully differentiated six classes of limb movements from the raw EEG data, encoded the classified signals and used this to control the movements of a Khepera mobile robot. Experiments have been undertaken to study the suitability of the scheme, and the results are promising.

Original languageEnglish (US)
Title of host publication2011 International Conference on Recent Trends in Information Systems, ReTIS 2011 - Proceedings
Pages203-208
Number of pages6
DOIs
StatePublished - 2011
Event2011 International Conference on Recent Trends in Information Systems, ReTIS 2011 - Kolkata, India
Duration: Dec 21 2011Dec 23 2011

Publication series

Name2011 International Conference on Recent Trends in Information Systems, ReTIS 2011 - Proceedings

Conference

Conference2011 International Conference on Recent Trends in Information Systems, ReTIS 2011
CountryIndia
CityKolkata
Period12/21/1112/23/11

All Science Journal Classification (ASJC) codes

  • Information Systems

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