Abstract
One of the major organ and resource in human is brain which is interconnected with millions of neurons, these neurons can be used to know the attention of human at different time intervals. The human brain waves plays a vital role in controlling and monitoring the devices and environment. The EEG sensor is used to transfer brain waves using Bluetooth and automated through a microcontroller for knowing the attention of the Human brain. The major system in the designed work is with Arduino Mega Microcontroller which is programmed to monitor the attention of the brain activities. All the readings helps in predicting the status of the human brain Activity. The quality of the work is defined by recording the mental states of human brain by different frequencies of brain waves. The different frequencies are detected are alpha, beta, gamma and delta patterns. In the carried work real time simulation and testing is done on breadboard. The implementation results are clearly shown by signifying each step importance. The outcomes of the carried work are monitored in real time and checked through Internet of things (IOT). The carried work is tested on different participants and they were advised to analyze and think on various tasks such as left, right, forward and back. The data is although collected from various participants for correlation and deviation values. In general the analysis is performed with the thinking data and computed in terms of attention levels. Further to this it can be used for Alzheimer’s disease and cognitive impaired people to know the exact thinking of the people and their needs or requirements.
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I am very much thankful to Middle East College, Muscat for providing me lab facilities and also creating an environment of renowned professors who helped me at every step during contribution to my work and defining me new research findings related to the work proposed.
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Al Balushi, H.M., Nachappa, S.M. (2019). An Online Monitoring System for Measuring Human Attention Level Based on Brain Activities. In: Singh, P., Paprzycki, M., Bhargava, B., Chhabra, J., Kaushal, N., Kumar, Y. (eds) Futuristic Trends in Network and Communication Technologies. FTNCT 2018. Communications in Computer and Information Science, vol 958. Springer, Singapore. https://doi.org/10.1007/978-981-13-3804-5_15
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DOI: https://doi.org/10.1007/978-981-13-3804-5_15
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