Research regarding electro-oculogram based Human Computer Interface (HCI)

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dc.contributor.authorNagy, Robert-Béla
dc.contributor.authorVesselenyi, Tiberiu
dc.date.accessioned2017-07-03T08:09:15Z
dc.date.available2017-07-03T08:09:15Z
dc.date.issued2017-06-26
dc.description.abstractIn this article an electro-oculogram (EOG) based Human Computer Interface (HCI) will be presented, in order to control the mouse cursor on the screen of a computer or laptop. Electromyography (EMG) is the domain that employs the activation and deactivation (onset and cessation) of the muscles. EOG is the sub-domain of EMG field that focuses on the human eye’s movements. The EOG bio-signals can be recorded using Ag/AgCl electrodes coupled on the user’s skin and fed into a data acquisition device - an analog-to-digital converter (ADC) in order to be transmitted, filtered and processed on a computer or laptop. We acquired the EOG bio-signals with a 24-bit, 4 channel, 51200 samples/s per channel ADC, made by the National Instruments (N.I.), model NI-9234 industrial ADC, using only 3 recording channels and electrodes. After processing, the program running on the computer or laptop can be used to realize commands or control different applications according to the recorded bio-signals. In our case, this was done, using Artificial Neural Network (ANN) toolbox of MATLAB®. This HCI can be used by perfectly healthy or even by disabled people. In the case of disabled people, these systems can be used to control any electronic device connected to the computer or control the device itself. Applications of this type of HCIs can be Internet browsing, mail writing, word file editing, etc. This system is meant to offer a new way of computer control - other than the existing standard communication and/or control possibilities (like keyboard and/or mouse).hu_HU
dc.identifier.doi10.17667/riim.2017.1/7.hu_HU
dc.identifier.issue1hu_HU
dc.identifier.urihttp://hdl.handle.net/2437/242397
dc.identifier.volume4hu_HU
dc.language.isoenhu_HU
dc.publisherDUPresshu_HU
dc.publisher.placeDebrecenhu_HU
dc.subjectArtificial Neural Networkhu_HU
dc.subjectbio-signal acquisition
dc.subjectElectrooculogram
dc.subjectEOG
dc.subjectHCI
dc.subjectmouse control
dc.titleResearch regarding electro-oculogram based Human Computer Interface (HCI)hu_HU
dc.typeArticlehu_HU
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