Design and Development of a BCI Framework to Control a UTM Using EEG Headset
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Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Science and Business Media Deutschland GmbH
Abstract
We 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.
Description
Keywords
Brain Computer Interface, Electroencephalogram, Emotiv EPOC+, ESP32, IoT, MQTT, Node-RED, UTM
Citation
Lecture Notes in Electrical Engineering, 2024, Vol.1062 LNEE, , p. 173-187
