Design and Development of a BCI Framework to Control a UTM Using EEG Headset

dc.contributor.authorManish, E.S.
dc.contributor.authorPratheesh
dc.contributor.authorUmesh, P.
dc.contributor.authorGangadharan, K.V.
dc.date.accessioned2026-02-06T06:34:17Z
dc.date.issued2024
dc.description.abstractWe live in a period where machines have become a fundamental piece of our day-to-day existence. These machines that surround us largely depend on human assistance. To operate them, a human would nearly have to be functional. We only lose the capacity to engage with machines when these capabilities are hindered, possibly by a bodily condition or injury. This study picks the Universal Testing Machine as the machine to be operated to help physically challenged people run machinery. Additionally, it uses an Internet of Things architecture to monitor specific brain activities in the person’s brain, while controlling the machine. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
dc.identifier.citationLecture Notes in Electrical Engineering, 2024, Vol.1062 LNEE, , p. 173-187
dc.identifier.issn18761100
dc.identifier.urihttps://doi.org/10.1007/978-981-99-4444-6_13
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/29151
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.subjectBrain Computer Interface
dc.subjectElectroencephalogram
dc.subjectEmotiv EPOC+
dc.subjectESP32
dc.subjectIoT
dc.subjectMQTT
dc.subjectNode-RED
dc.subjectUTM
dc.titleDesign and Development of a BCI Framework to Control a UTM Using EEG Headset

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