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.
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Acknowledgements
The authors would like to thank the Junior Research fellows, Centre for System Design, NITK for their assistance in developing this study. In addition, the authors acknowledge the support provided by the Centre for System Design, NITK Surathkal.
The authors also acknowledge NITK/KREC 1981 batch—“CAMP” for their financial assistance through NITK/KREC Endowment Fund.
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Manish, E., Pratheesh, Umesh, P., Gangadharan, K.V. (2024). Design and Development of a BCI Framework to Control a UTM Using EEG Headset. In: Kalya, S., Kulkarni, M., Bhat, S. (eds) Advances in VLSI, Signal Processing, Power Electronics, IoT, Communication and Embedded Systems. VSPICE 2022. Lecture Notes in Electrical Engineering, vol 1062. Springer, Singapore. https://doi.org/10.1007/978-981-99-4444-6_13
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DOI: https://doi.org/10.1007/978-981-99-4444-6_13
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