Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/12437
ชื่อเรื่อง: Integrated Human-Machine Interaction System: ERP-SSVEP and Eye Tracking Based Technologies
ผู้แต่ง: Phothisonothai M.
Tantisatirapong S.
Keywords: Electroencephalography
Electrophysiology
Enterprise resource planning
Eye movements
Human computer interaction
Human reaction time
Man machine systems
EEG signals
Event-related potentials
Human machine interaction
Human machine interaction system
Interactive system
Multi-disciplinary research
SSVEP
Steady state visually evoked potentials
Eye tracking
วันที่เผยแพร่: 2019
บทคัดย่อ: Human-Machine Interaction (HMI) requires a multidisciplinary research study mainly focused on interaction modalities between humans and machines. In this paper, we introduced an integrated HMI system using electrical brainwave signal (or called Electroencephalography: EEG) and eye tracking of pupil movement (or called ET), whose are used as an alternative channel to communicate with others for people with disabilities. In this experiment, the target and non-Target visual stimuli of EEG-based HMI system on the basis of event-related potential (ERP) and steady state visually evoked potential (SSVEP) signals have been performed. For the ET based framework, we proposed the user-friendly virtual keyboard typing for Thai language, i.e., free-form and automatic typing modes. The results showed that the integrated HMI using ERP-SSVEP yielded an average accuracy of 97.4% and reaction time approximately was 724.2 millisecond for control commands. The automatic typing mode performed an average accuracy of 97%, with an average printing time of 6.17 seconds per word for ET based virtual Thai keyboard. © 2019 IEEE.
URI: https://ir.swu.ac.th/jspui/handle/123456789/12437
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065102320&doi=10.1109%2fKST.2019.8687804&partnerID=40&md5=4f6bf8f3f8f1c153152cadf7869cdbc7
Appears in Collections:Scopus 1983-2021

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