Abstract
The main purpose of this research is to investigate the human brain sensor activities related prior researches towards the needs of an efficient method to improve the human brain sensor activities. Human brain activities mainly measured by brain signal acquired from the brain sensor electrodes positioned on several parts of the brain cortex. Although previous researches investigated human brain activities in various aspects, the improvement of the human brain sensor activities is still unsolved. In today’s world, it is very crucial need for improving the sensor activities of the human brain using that human brain improved signal externally. This research demonstrated a comprehensive critical analysis of human brain activities related prior researches to claim for an efficient method integrated with proposed neuroheadset device. This research presented a comprehensive review in various aspects like previous methods, existing frameworks analysis and existing results analysis with the discussion to establish an efficient method for acquiring human brain signal, improving the acquired signal and developing the sensor activities of the human brain using that human brain improved signal. Demonstrated critical review has expected for constituting an efficient method to improve the performance of maneuverability, visualization, subliminal activities and so forth on human brain activities.
Highlights
We have demonstrated the comparison of previous methods based on the approaches which were previously established by the researcher for the brain signal processing in below: Brain activities can be measured from the brain signal acquired by using the invasive or the non-invasive technique (Rao et al, 2012)
The main reason for this research is to introduce an efficient method by presenting a critical analysis of the human brain sensor activities related to previous research
This research demonstrated the investigation of brain sensor activities related to previous research based on methods, framework and experimental analysis to constitute an efficient method
Summary
The brain activities usually monitored by observing the electrical signals produced in the neurons (Arman, Ahmed, and Syed 2012). Researchers concentrated on the processing of the human brain signal to solve their identified problems. For signal processing, they followed several steps like signal acquisition, preprocessing, feature extraction and classification. FFT is an influential method for frequency analysis and helps to transfer the time domain data into power values in the frequency domain, but it is only appropriate for stationary signals and linear random methods. It suffers from noise, and shows inappropriate for poor time localization in respect of various kinds of applications (Gutmann et al, 2015). Quadratic Discriminant Analysis (QDA) and k-NN provide comparatively better classification findings than SVM (Atkinson and Campos 2016)
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