Abstract: This paper provides a comprehensive survey on virtual brain development using EEG (Electroencephalogram) and IoT technologies. As advancements in hardware, software frameworks, and Brain-IoT wearable sensors enable real-time brain data analysis, virtual brain research is rapidly advancing. These innovations enhance the creation of brain-IoT systems for monitoring and analysing brain activity, which offers promising applications in healthcare, neurotherapy, and cognitive research. This study explores key trends such as EEG-based IoT models, machine learning integration, and cloud computing platforms that support these advancements. The paper also addresses the need for energy-efficient infrastructure to support bandwidth demands in the IoT cloud, aiming to accelerate the future development of virtual brain technologies..
Keywords: Virtual mind, Brain Computer Interface, Electroencephalogram, wearable sensors, Internet of Things, Cloud.
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DOI:
10.17148/IJARCCE.2024.131211
[1] Ms Niveditha B S, Vaishnavi R, Rakshitha S, Sinchana Y S, Dinesh M R, "The Virtual Brain Using EEG Sensor For Locked-In Syndrome Patient," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2024.131211
