KJCKorea
Journal Central

@article{ART002935567},
author={KIM HUNHEE},
title={Implementation of Brain-machine Interface System using Cloud IoT},
journal={Journal of Internet of Things and Convergence},
issn={2466-0078},
year={2023},
volume={9},
number={1},
pages={25-31},
doi={10.20465/KIOTS.2023.9.1.025}

TY - JOUR
AU - KIM HUNHEE
TI - Implementation of Brain-machine Interface System using Cloud IoT
JO - Journal of Internet of Things and Convergence
PY - 2023
VL - 9
IS - 1
PB - The Korea Internet of Things Society
SP - 25
EP - 31
SN - 2466-0078
AB - The brain-machine interface(BMI) is a next-generation interface that controls the device by decoding brain waves(also called Electroencephalogram, EEG), EEG is a electrical signal of nerve cell generated when the BMI user thinks of a command. The brain-machine interface can be applied to various smart devices, but complex computational process is required to decode the brain wave signal. Therefore, it is difficult to implement a brain-machine interface in an embedded system implemented in the form of an edge device. In this study, we proposed a new type of brain-machine interface system using IoT technology that only measures EEG at the edge device and stores and analyzes EEG data in the cloud computing. This system successfully performed quantitative EEG analysis for the brain-machine interface, and the whole data transmission time also showed a capable level of real-time processing.
KW - Internet of Things(IoT);Cloud Computing;Electroencephalogram(EEG);Brain-machine Interface(BMI);Real-time;quantitative EEG(qEEG)
DO - 10.20465/KIOTS.2023.9.1.025
ER -

KIM HUNHEE. (2023). Implementation of Brain-machine Interface System using Cloud IoT. Journal of Internet of Things and Convergence, 9(1), 25-31.

KIM HUNHEE. 2023, "Implementation of Brain-machine Interface System using Cloud IoT", Journal of Internet of Things and Convergence, vol.9, no.1 pp.25-31. Available from: doi:10.20465/KIOTS.2023.9.1.025

KIM HUNHEE "Implementation of Brain-machine Interface System using Cloud IoT" Journal of Internet of Things and Convergence 9.1 pp.25-31 (2023) : 25.

KIM HUNHEE. Implementation of Brain-machine Interface System using Cloud IoT. 2023; 9(1), 25-31. Available from: doi:10.20465/KIOTS.2023.9.1.025

KIM HUNHEE. "Implementation of Brain-machine Interface System using Cloud IoT" Journal of Internet of Things and Convergence 9, no.1 (2023) : 25-31.doi: 10.20465/KIOTS.2023.9.1.025

KIM HUNHEE. Implementation of Brain-machine Interface System using Cloud IoT. Journal of Internet of Things and Convergence, 9(1), 25-31. doi: 10.20465/KIOTS.2023.9.1.025

KIM HUNHEE. Implementation of Brain-machine Interface System using Cloud IoT. Journal of Internet of Things and Convergence. 2023; 9(1) 25-31. doi: 10.20465/KIOTS.2023.9.1.025

KIM HUNHEE. Implementation of Brain-machine Interface System using Cloud IoT. 2023; 9(1), 25-31. Available from: doi:10.20465/KIOTS.2023.9.1.025

KIM HUNHEE. "Implementation of Brain-machine Interface System using Cloud IoT" Journal of Internet of Things and Convergence 9, no.1 (2023) : 25-31.doi: 10.20465/KIOTS.2023.9.1.025