NDLI: Brain–computer interface-based single trial P300 detection for home environment application

Content Provider	IET Digital Library
Author	Shukla, P. Chaurasiya, R. Verma, S.
Abstract	P300 speller-based brain–computer interface (BCI) is an immediate correspondence between the human brain and computer that depends on the translation of mind reactions produced by the stimulus of a subject utilising the P300 speller. No muscle movements are required for this communication. As a P300 paradigm, a novel 2 × 3 matrix consisting of visual home appliances is proposed, which helps disabled people ease their lives by accessing mobile, light, fan, door, television, electric heater etc. In most of the current P300-based BCIs, 5–15 trials work better and the low information transfer rate (ITR) is a major issue in its adaptation in real-time. The objective of this Letter is to improve accuracy as well as an ITR for real-time home appliance control applications. To address this, the authors proposed a single trial weighted ensemble of compact convolution neural network and obtained an ITR of 46.45 bits per minute and an average target appliance accuracy of 93.22% for the BCI-based home environment system. The experimental findings confirmed the feasibility of the proposed method and thus can provide guidance for future use of the system for paralysed patients.
Starting Page	1392
Ending Page	1395
Page Count	4
ISSN	00135194
Volume Number	56
e-ISSN	1350911X
Issue Number	Issue 25, Dec (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/56/25
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2020.2488
Journal	Electronics Letters
Publisher Date	2020-10-06
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Average Target Appliance Accuracy BCI-based Home Environment System Bioelectric Signal Biology And Medical Computing Brain-computer Interfaces Brain–computer Interface-based Single Trial Computer Assistance For Persons with Handicaps Digital Signal Processing Electric Heater Electrical Activity in Neurophysiological Processes Electrodiagnostics And Other Electrical Measurement Technique Electroencephalography Handicapped Aids Home Environment Application Human Brain Immediate Correspondence ITR Low Information Transfer Rate Medical Signal Processing Mind Reactions Neural Nets P300 Detection P300 Speller-based Brain–computer Interface P300-based BCIs Real-time Home Appliance Control Application Signal Classification Signal Processing And Detection User InterFace Visual Home Appliances
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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