Home Automation Using SSVEP & Eye-Blink Detection Based Brain-Computer Interface
A Brain-Computer Interface(BCI)is of great benefit to the differently abled,as it allows those with restricted freedom of movement to perform various actions which enable them to live an uncompromised,independent life.It can also,however,be used as a luxury by the general population.Such BCIs are possible by capturing and analysing electroencephalography(EEG)based potential responses to various stimuli.BCIs can be used for a host of activities,including cursor control,with spellers,to control wheelchairs and for home automation and control of various devices.In this paper,we present a novel BCI-based home automation system that works with two responses-Steady State Visually Evoked Potential(SSVEP)and the eye-blink artifact.We demonstrate an actual hardware based stimulus and response system that is without a Graphical User Interface(GUI).These two responses together facilitate a robust and efficient system that can serve the largest section of society to varying degrees.This system can be used without having to train the user in advance and is free from the fatigue and long delays usually associated with P300 or GUI-based systems.The hardware implementation of this system to control a table lamp and table fan has also been discussed and state-of-the-art results have been achieved.
Kratarth Goel Raunaq Vohra Anant Kamath Veeky Baths
Department of Computer Science,BITS Pilani KK Birla Goa Campus,Goa,India Department of Mathematics,BITS Pilani KK Birla Goa Campus,Goa,India Department of Electrical and Electronics Engineering,BITS Pilani KK Birla Goa Campus,Goa,India Department of Biology,BITS Pilani KK Birla Goa Campus,Goa,India
国际会议
The 2014 ICME International Conference on Complex Medical Engineering (CME2014)ICME复合医学工程国际会议
台北
英文
174-178
2014-06-26（万方平台首次上网日期，不代表论文的发表时间）