Virtual Brain Mr

IJARSCT ISSN (Online) 2581-9429

International Journal of Advanced Research in Science, Communication and Technology (IJARSCT)

Volume 7, Issue 2, July 2021 Impact Factor: 4.819

Virtual Brain Mr. Ajay Rajendra Patil1, Ms. Shital Shivram Deshmane2, Mr. Amol Dilip Shelke3, Mr. Akshay Baburao Bawaskar4, Mr. Vaibhav Gajanan Dhoran5, Prof. A. S. Bharathy6 Research Scholar, Department of Electrical Engineering1,2,3,4,5 Assistant Professor, Department of Electrical Engineering6 P L Institute of Technology and Management Studies, Buldana, India

Abstract: Virtual brain research is accelerating the development of inexpensive real-time Brain IoT Systems. Hardware improvements that increase the capability of Virtual brain analyze and Brain IoT wearable sensors have made possible several new software frameworks for developers to use and create applications combining Brain and IoT. It also enables multiple sensory pathways for communications with a larger sized data to users’ brains. The intersections of these two research paths are accelerating both ﬁelds and will drive the needs for an energy-aware infrastructure to support the wider local bandwidth demands in the IoT cloud. In this project, we complete a survey on Brain activity Extraction in IoT from various perspectives, including Electroencephalogram (EEG) based IoT models, machine learning, and current active platforms. Based on our investigations, the main ﬁndings of this survey highlights three major development trends of virtual brain development system, which are EEG, IoT, and cloud computing.

I. INTRODUCTION Human brain, the most valuable creation of God. The man is called intelligent because of the brain. But we loss the knowledge of a brain when the body is destroyed after the death . “VIRTUAL BRAIN”- The name of the world’s first virtual brain. That means a machine that can function as human brain. IBM, in partnership with scientists at Switzerland’s Ecole Polytechnique Federal De Lausanne’s(EPFL) Brain and Mind Institute will begin simulating the brain’s biological systems What is Virtual Brain?  A machine that can function as brain.  It can take decision.  It can think.  It can response.  It can keep things in memory  The main aim of the project was founded in May 2005 by Brain and Mind Institute in Ecole Poly technique Federal de Lausanne, Switzerland. Its aim is to create a artificial brain’s architecture and functioning principles. The project is headed by Henry Markam, the director of the institution Swizerland. they are using the Blue Gene super computer developed by IBM and Michael Hines, neuron software is running on super computer. [3]The simulation does not involve the virtuall neural network but biologically realistic model of neurons. Human brain is considered as the biggest gift God has given to this world. Man is known to be the most intelligent animal because of his abilities that his brain gives him. The human brain converts the information transmitted by the impulses enabling a person to respond. The death of a person brings in the loss of his knowledge as his body gets destroyed. The same knowledge could have been used for further development of the society. What could have been the face of the earth today if we could still communicate with great scientists who contributed everything they could for a better society? Enter Blue Brain.

II. LITERATURE REVIEW [1] N. M. Neihart and R. R. Hasrrison IEEE Internet Computing, vol. 19, no. 4, pp. 60– 67, 2018.This paper has explained about the Best in class neural chronicle frameworks require gadgets taking into account transcutaneous,

International Journal of Advanced Research in Science, Communication and Technology (IJARSCT)

Volume 7, Issue 2, July 2021 Impact Factor: 4.819

bidirectional information move. As these circuits will be embedded close to the cerebrum, they should be little and low force. This paper gained a Utilizing a parasitic radio wire under 2 mm long, a got power level was estimated to be - 59.73 dBm a way of one meter.The problem occured in this paper not receiving proper brain signals. [2] R. Polana R. Nelson, Springer, 2018, pp. 85–121. This paper explains about BCI frameworks measure explicit highlights of mind action and make an interpretation of them into control flags that drive a yield. The paper gained in this paper are sensors modalities that have most normally been utilized in BCI contemplate have been electroencephalographic (EEG) chronicles from the scalp and single-neuron accounts from inside the cortex. The problem is occured in this paper are no facility of storing the document. [3] B. Gosselin, 2017 This paper has introduced a method called BTC communication. The paper gained BTC frameworks give another option correspondence channel to perform activities and detecting in brilliant articles utilizing orders sent by clients from their controlled mind exercises. The problem occured in this paper are blurred image of receiving the signals.

III. PROPOSED METHODOLOGY Methodology is a model to explain the methods or techniques used to design, develop or plan a project. This chapter explains about the software and hardware that will be used for developing this project further. The results are going to be analyzed to achieve the objective of this project. The first element of the proposed system is the device for EEG data acquisition. This captures the user’s brain activity using a single channel, whose location on the scalp depends on the intentionality to be captured. EEG data measurements are obtained with a sampling frequency of 128 Hz in the frequency range from 4.7 to 22 Hz.

Figure 1: Block Diagram of Proposed Methodology

International Journal of Advanced Research in Science, Communication and Technology (IJARSCT)

Volume 7, Issue 2, July 2021 Impact Factor: 4.819

The raw data captured by the EEG device are then analyzed by an ESP32 IOT module to determine the user state. As an example of application of our system, we will consider classification of brain signals. It is well known that EEG alpha activity (8–13 Hz) increases for normal individuals during a closed eyes situation and is suppressed with visual stimulation. According to these studies, the signal processing unit will be able to determine the user brain state considering the power of alpha (α) and beta (β). The sensors on head state is associated to a β/α ratio lower than a certain threshold level due to higher alpha power. Conversely, the sensors are not on head state corresponds to a β/α ratio higher than that threshold level due to the smaller alpha power. It ends up being exceptionally indispensable to perceive how the person's mind can be moved into a PC. Raymond Kurgweil disseminated a paper on this point and gave that the usage of little robots or nanobots is amazing. They are adequately little to experience our circulatory framework. They would have the ability to screen the activities of the tangible framework. They will outfit the interface with PC. By checking our mind it will give the unmistakable information of the relationship of neurons. They would record the current state of mind. Every one of these information when gone into PC, it will fill in as us. All what is required is the super PC with far reaching space and handling power.

IV. IMPLEMENTATION In this project, implement the BCI (Brain-computer interface) approach. The below diagram is the demonstration of the project. The components used in this project are EEG, AVR Micro controller, IoT Modem, UART wire, and power supply is enabled. The main usage of this AVR micro controller is to provide high-speed signal processing. The AVR Micro controller is connected with the EEG sensor and IoT modem. The transformer is used in this experiment since the 240v can be converted into 5v. The transformer is connected with AVR Microcontroller. Above the Micro controller TFT (Thin Film Transmitter) display is used. It is used for display purposes. Let's discuss about the experimentation of the project. When the power supply is getting ON, have to hold the EEG sensor on the side of the forehead and touch with hands. When it holds it results as Brain active else the brain is not active. So in that TFT display, it shows as Brain dead. The virtual brain is accelerating the development of inexpensive real-time brain- computer interface (BCI). Hardware requirements that increase the capability of the virtual brain. The advantage of the proposed system is an i. An affordable technology with high-end advantage. ii. User relatives get remind on particular time. iii. Ability to share current and saved information of the user. The following are the modules that are divided into four based on the work done in the proposed system. The modules are, Virtual brain module. Privacy information module. Access privilege module. Remainder module. Virtual brain module In this module, the modules are getting organized.

Figure 2: Actual Model of the Project Copyright to IJARSCT DOI: 10.48175/568 244 www.ijarsct.co.in IJARSCT ISSN (Online) 2581-9429

International Journal of Advanced Research in Science, Communication and Technology (IJARSCT)

Volume 7, Issue 2, July 2021 Impact Factor: 4.819

It consists of components like EEG (Electro Encephalogram), AVR microcontroller, IoT modem, Transformer, UART(Universal Asynchronous receiver Transmitter) board, and finally a TFT display. The AVR microcontroller is connected with TFT display and transformer. UART board is connected with IoT modem and all these connected with power supply. Privacy information Module In this module, Entering the username and password this screen is revealed. By clicking the options like document mail id and phone number, the user can type the things and stored them in the cloud. The information which store in this module will be very safe and secure.

V. RESULT AND DISCUSSION The purpose of this project is the primary consumer-grade EEG application is using brainwave signals, once processed through a range of classification algorithms, as a proxy for interpretation of human psychology, intent, mental state, and desire to interact with the system through supervised ML techniques. To support the process, products may integrate brainwave activity with other signals or sensors in order to provide researchers a better holistic picture of the body responds to external stimuli. In this proposed system, the result can accurately sent to the user’s mail id or phone number. If the user is alive, then the user uses to type the information which he/she want to convey to the favorite or particular person. As the result clearly shows it is the BCI (Brain-Computer Interface). Wearable devices have made possible several new software framework for developers to use and create applications combining BCI and IoT. The document or information can be easily received by a particular person without any delay. In that note, this proposed system is more efficient. EEG sensor “ON” Data Stored in Cloud Data Share to Mobile

ON Mobile No: Mobile No:

ON Mail Id: Mail Id:

ON Password Password

ON ATM Pin ATM Pin

Table 1: User Information

VI. APPLICATIONS  To upload contents of the natural brain into Virtual Brain.  To keep the intelligence, knowledge and skill of any person for ever.  To remember things without any effort.  Virtual brain is an approach to store and utilize human intelligence and information present in the mind even after human demise.  Business analysis, attending conferences, reporting, etc. are very significant functions that an intelligent machine can do consistently.

VII. COMPARISON BETWEEN NATURAL BRAIN AND VIRTUAL BRAIN Parameter Natural Brain Virtual Brain Input In the nervous system, neurons are responsible In the same way an artificial nervous system can for the declaration of our body language. The be created. The scientist has made artificial cells of the body accept the sensory inputs. neurons and replaced them with a silicon chip. It Concept of these things Generate electrical was also verified that these neurons can receive impulses generated by neurons in a small data from sensory cells. Thus, electrical room. These electrical impulses lead to brain impulses from sensory cells can be obtained by neurons. these artificial neurons. Copyright to IJARSCT DOI: 10.48175/568 245 www.ijarsct.co.in IJARSCT ISSN (Online) 2581-9429

International Journal of Advanced Research in Science, Communication and Technology (IJARSCT)

Volume 7, Issue 2, July 2021 Impact Factor: 4.819

Interpretation The electrical impulses that the brain receives The interpretation of the electrical impulses from the neurons are interpreted in the brain. received by the artificial neuron can be The interpretation in the brain is achieved by performed by registers. The different values in certain states of many neurons. these registers represent different brain states. Processing When we make a decision, we think of Likewise, computer decision making can be something or we make calculations, the logical done using some stored states and the input and arithmetic calculations are performed in received and by performing some arithmetic and our neural circuit. The experience of the stored logical calculations. past and the current input signals are used and the states of particular neurons are modified to provide the output. Memory There are certain neurons in our brain that There are certain neurons in our brain that permanently represent certain states. If permanently represent certain states. If necessary, this state is represented by our brain necessary, this state is represented by our brain and we can remember the past things. To and we can remember the past things. To remember things, we force neurons to present remember things, we force neurons to present certain states of the brain permanently or for certain states of the brain permanently or for any any interesting or serious matter. This happens interesting or serious matter. This happens implicitly. implicitly. Output Based on the states of the neurons, the brain According to the conditions of the register, the sends the electrical impulses that represent the output signal can be sent to the artificial neurons answers that are continue to receive our body's in the body that are received by the sensory cell. sensory cells to respond to neurons in the brain at this time.

VIII. CONCLUSION Finally this project, described a cloud-based system for performing large-scale brain connectivity analysis using IOT’s. It demonstrated that proposed approach can achieve fast data query and extraction for analytics and retrieve. Further, this proposed methodology can scale up to process much larger datasets (terabytes and above) with the goal of one day being able to perform such analysis on the human brain. This prototype model also exploring the use of database such as information in memory management solution that closely matches data sources with data management technology. In this project, we clearly explain the digital brain and computer interface. Also, we introduce a method called BCI (Brain-computer interface) model. This experiment or project establishes and publishes the human memories and documents stored in the cloud are automatically sent to the registered user even the authorized person is no more. After the death of the human brain, this cloud act has the human. This project is mainly designed for all kinds of people. More strictly Amnesia patients will be used. In the future, it will be developed without power supply and also instead of login can use fingerprint. When compared to username and password the fingerprint will be useful and necessary for people. It can be used in day to day life. It cannot cause so much harm to the people.

REFERENCES [1]. Mortenson,M.J.;Doherty, N.F.; Robinson, S. Operational research from Taylorism to Terabytes: A research agenda for the analytics age. Eur. J. Oper. Res. 2015, 241, 583–595. [2]. Mingers, J.; White, L. A review of the recent contribution of systems thinking to operational research and management science. Eur. J. Oper. Res. 2010, 207, 1147–1161. [3]. Borgia, E. The Internet of Things vision: Key features, applications and open issues. Comput. Commun. 2014, 54, 1–31.

International Journal of Advanced Research in Science, Communication and Technology (IJARSCT)

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[4]. Jain, R. Internet of Things: Challenges and Issues. In Proceedings of the 20th Annual Conference on Advanced Computing and Communications (ADCOM 2014), Bangalore, India, 19–22 September 2014. [5]. Mattern, F.; Floerkemeier, C. From the Internet of Computers to the Internet of Things. In From Active Data Management to Event-Based Systems and More; Springer: Berlin, Germany, 2010; pp. 242–259. [6]. Elkhodr, M.; Shahrestani, S.; Cheung, H. The Internet of Things:Vision & Challenges. In Proceedings of the TENCON Spring Conference, Sydney, Australia, 17–19 April 2013; pp. 218–222. [7]. Gubbi, J.; Buyya, R.; Marusic, S.; Palaniswami, M. Internet of Things (IoT): A vision, architectural elements, and future directions. Future Gener. Comput. Syst. 2013, 29, 1645–1660. [Cross Ref] [8]. Chen, S.; Xu, H.; Liu, D.; Hu, B.; Wang, H. A vision of IoT: Applications, challenges, and opportunities with China perspective. IEEE Internet Things J. 2014, 1, 349–359. [Cross Ref] [9]. Muralidharan, S.; Roy, A.; Saxena, N. An Exhaustive Review on Internet of Things from Korea’s Perspective, Wirel. Pers. Commun. 2016, 90, 1463–1486. [Cross Ref] [10]. Al-Fuqaha, A.; Guizani, M.; Mohammadi, M.; Aledhari, M.; Ayyash, M. Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications. IEEE Commun. Surv. Tutor. 2015, 17, 2347–2376. [11]. Fraga-Lamas, P.; Fernandez-Carames, T.M.; Suarez-Albela, M.; Castedo, L.; Gonzalez-Lopez, M. A review on internet of things for defense and public safety. Sensors 2016, 16, 1644.