EFFICIENT METHOD TO IMPROVE HUMAN BRAIN SENSOR ACTIVITIES USING PROPOSED NEUROHEADSET DEVICE EMBEDDED WITH SENSORS: A COMPREHENSIVE STUDY

• Main Authors: Rajib Chowdhury, A F M Saifuddin Saif
• Format: Article
• Language: English
• Published: UMP Publisher 2019-05-01
• Series: International Journal of Software Engineering and Computer Systems
• Subjects: Human Brain Activities; Human Brain Signal; Efficient Method; ProposedNeuroheadset Device; Brain Engineering
• Online Access: http://journal.ump.edu.my/ijsecs/article/view/2434
• ISSN: 2289-8522; 2180-0650

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. Keywords: Human Brain Activities; Human Brain Signal; Efficient Method; ProposedNeuroheadset Device; Brain Engineering;