This report is about an innovative technology in the area of the human computer interface (HCI). The research works based on this concept has been started since the year of 1980. At first as a claim to fame territory in software engineering grasping subjective science and human variables designing. HCI has extended quickly and consistently for three decades, pulling in experts from numerous different trains and joining assorted ideas and methodologies. To an impressive degree, HCI now totals a gathering of semi-self-governing fields of research and practice in human-focused informatics. Be that as it may, the proceeding with combination of divergent originations and ways to deal with science and practice in HCI has delivered a sensational case of how diverse epistemologies and ideal models can be accommodated and coordinated in a dynamic and beneficial scholarly venture. Human-PC connection (HCI) has generally been the space of building and brain research. Here, we approach it from the point of view of outline . Our concentration goes past just utilizing innovation to take care of an issue. It is about making an innovation experience that will be useful, natural, and even delightful for the general population who utilize it.
The objective of the human-PC communication plan (HCI/d) program is to show you to have a similar outlook as an architect. Our approach is research-based, however never inflexible. In spite of the fact that understudies take after exceedingly organized educational programs that sets them up for an expert vocation, there is a lot of space to seek after individual interests . In this project, the proposed innovation in the area of the HCI is the development of a smart car that can be fully controlled by the mind of the user i.e., the brainwaves. In this report, the background research in the area of the human computer interface and brainwave capturing devices.
The background research of this paper refers to the different types of innovative technology, research and development activities in the area of the mind controlled devices. The following concepts discussed in this report are the various types of the technical aspects in the area of the human computer interaction through the use of the brainwaves. The idea of developing a mind controlled car has been derived from the different types of mind controlled devices developed and ongoing research works.
Human Computer Interface:
Using PCs had dependably made one wonder of interfacing. The techniques by which human has been interfacing with PCs has voyage far. The excursion still proceeds and new plans of advancements and frameworks seem increasingly consistently and the exploration around there has been becoming quick over the most recent couple of decades. The development in Human-Computer Interaction (HCI) field has not exclusively been in nature of connection, it has additionally experienced distinctive spreading in its history. Rather than outlining standard interfaces, the distinctive research branches have had diverse concentrate on the ideas of multimodality instead of unimodality, astute versatile interfaces as opposed to order/activity based ones, lastly dynamic as opposed to inactive interfaces . This paper expects to give an outline on the cutting edge of HCI frameworks and cover most vital branches as specified previously. In the following area, essential definitions and phrasing of HCI are given. At that point a review of existing advances and furthermore late advances in the field is given. This is followed up by a portrayal on the distinctive models of HCI outlines. The last segments relate to depiction on a portion of the utilizations of HCI and future bearings in the field. Here and there called as Man-Machine Interaction or Interfacing, idea of Human-Computer Interaction/Interfacing (HCI) was naturally spoken to with the developing of PC, or all the more for the most part machine, itself . The reason, indeed, is clear: most complex machines are useless unless they can be utilized appropriately by men. This essential contention just exhibits the principle terms that ought to be considered in the outline of HCI: usefulness and convenience. Why a framework is really planned can eventually be characterized by what the framework can do i.e. how the elements of a framework can help towards the accomplishment of the reason for the framework. Usefulness of a framework is characterized by the arrangement of activities or administrations that it gives to its clients. In any case, the estimation of usefulness is noticeable just when it winds up plainly conceivable to be effectively used by the client. Convenience of a framework with a specific usefulness is the range and degree by which the framework can be utilized productively and sufficiently to finish certain objectives for specific clients. The genuine viability of a framework is accomplished when there is a legitimate harmony between the usefulness and ease of use of a framework . Having these ideas as a top priority and considering that the terms PC, machine and framework are regularly utilized conversely in this specific situation, HCI is an outline that ought to deliver a fit between the client, the machine and the required administrations to accomplish a specific execution both in quality and optimality of the administrations. Figuring out what makes a specific HCI plan great is for the most part subjective and setting dependant. For instance, a flying machine part outlining apparatus ought to give high precisions in view and plan of the parts while an illustrations altering programming may not need such exactness . The accessible innovation could likewise influence how diverse sorts of HCI are intended for a similar reason. One illustration is utilizing charges, menus, graphical UIs (GUI), or virtual reality to get to functionalities of any given PC. In the following area, a more deep review of existing techniques and gadgets used to cooperate with PCs and the current advances in the field is introduced.
HCI configuration ought to consider numerous parts of human practices and should be valuable. The unpredictability of the level of the inclusion of a human in collaboration with a machine is once in a while imperceptible contrasted with the effortlessness of the cooperation technique itself. The current interfaces vary in the level of intricacy both in light of level of usefulness/ease of use and the budgetary and efficient part of the machine in market. For example, an electrical pot require not to be modern in interface since its exclusive usefulness is to warm the water and it would not be financially savvy to have an interface more than a thermostatic on and off switch . Then again, a straightforward site that might be restricted in usefulness ought to be sufficiently perplexing in ease of use to pull in and keep clients. Along these lines, in plan of HCI, the level of action that includes a client with a machine ought to be altogether thought. The client action has three distinct levels: physical, intellectual, and full of feeling. The physical viewpoint decides the mechanics of cooperation amongst human and PC while the subjective perspective manages ways that clients can comprehend the framework and associate with it . The full of feeling perspective is a later issue and it tries not exclusively to make the connection a pleasurable ordeal for the client additionally to influence the client in a way that make client keep on using the machine by changing demeanors and feelings toward the client. The concentration of this paper is for the most part on the advances in physical part of connection and to show how distinctive techniques for cooperation can be consolidated (Multi-Modal Interaction) and how every strategy can be enhanced in execution (Intelligent Interaction) to give a superior and less demanding interface for the client. The current physical advances for HCI essentially can be ordered by the relative human sense that the gadget is intended for. These gadgets are fundamentally depending on three human detects: vision, tryout, and touch . Input gadgets that depend on vision are the most utilized kind and are normally either switch-based or directing gadgets. The switch-based gadgets are any sort of interface that utilizations catches and switches like a console. The guiding gadgets cases are mice, joysticks, touch screen boards, realistic tablets, trackballs, and pen-based info. Joysticks are the ones that have both switches and directing capacities . The yield gadgets can be any sort of visual show or printing gadget.
Mind controlled systems:
Mind PC interfaces will build acknowledgment by offering tweaked, astute help and preparing, particularly for the non-master client. Advancement of such an adaptable interface worldview brings a few difficulties up in the territories of machine observation and programmed clarification. The groups doing research in this field have built up a solitary position, cerebrum controlled change that reacts to particular examples identified in spatiotemporal electroencephalograms (EEG) measured from the human scalp .
Figure 1: Concept of mind controlled systems
EEG: An electroencephalograph (EEG) is the recorded electrical movement created by the cerebrum. When all is said in done, EEG is acquired utilizing terminals set on the scalp with a conductive gel. In the cerebrum, there are a great many neurons, each of which creates little electric voltage. The total of these electric voltage fields make an electrical perusing which anodes on the scalp are capable recognize and record. Therefore, EEG is the superposition of numerous less difficult signs . The plentifulness of an EEG flag ordinarily extends from around 1 uV to 100 uV in an ordinary grown-up, and it is roughly 10 to 20 mV when measured with subdural anodes, for example, needle cathodes. The FFT (Fast Fourier Transform) is a numerical procedure which is utilized as a part of EEG examination to research the creation of an EEG flag. Since the FFT changes a flag from the time space into the recurrence area, recurrence conveyances of the EEG can be watched. EEG recurrence dispersion is extremely delicate to mental and enthusiastic states and to the area of the electrode(s) . Two sorts of EEG montages are utilized: monopolar and bipolar. The monopolar montage gathers signals at the dynamic site and contrasts them and a typical reference cathode. The basic anode ought to be in an area so it would not be influenced by cerebral action. The primary favorable position of the monopolar montage is that the basic reference permits substantial examinations of the signs in various terminal pairings . Detriments of the monopolar montage incorporate that there is no perfect reference site, despite the fact that the ear cartilage are ordinarily utilized. Also, EMG and ECG curios may happen in the monopolar montage. Bipolar montage analyzes motions between two dynamic scalp destinations . Any action in the same way as these locales is subtracted so that exclusive distinction in movement is recorded. Therefore some data is lost with this montage.
Figure 2: EEG reading
Mind controlled wheelchair: Various patients are insinuated a neurologist to have an electroencephalogram (EEG), which records electrical inspirations from the nerves in the head. "Electro" suggests the electrical main thrusts sent beginning with one nerve cell then onto the following. These inspirations are the way nerves chat with each other and get information from the psyche. "Encephalo" insinuates the head, and "gram" suggests the printed record . EEG exams are done by putting cathodes on the scalp and seeing what the electrical inspirations look like when the patient is ready, resting, in a stay with a flashing light or occasionally when the patient is asked for that breathe in significantly over and over. Exactly when the EEG is done, no power is put into or removed from the patient. The electrical signs that the mind produces are basically perceived and printed out on a PC screen or a touch of paper . To control the wheelchair, EEG and Eye-Blinking signs are required. Here this paper depicts EEG and Eye-Blinking signs through a BCI interface. In this framework we tend to utilize straightforward unipolar anode to record EEG motion from the temple to build a Brain-Computer Interface (BCI) essentially controls electrical wheelchairs through Bluetooth for unfit patients. We have two signs like contemplation and consideration. What's more, we likewise extricate the eye-flickering signs from BCI . In this manner, consideration and eye-squinting signs are gathered as the administration motions through a Bluetooth interface and along these lines the electrically interface in hot seat. The trial comes about affirmed that this framework will offer an advantageous way to control an electrical wheelchair.
Figure 3: Mind controlled wheel chair made by Neurosky
Mind controlled robots: In the development of the mind controlled robots, conflictingly to expanded correspondence through BCI, quick basic leadership is basic. In this sense, ongoing control of cerebrum impelled gadgets, particularly robots and neuroprostheses, is the most difficult application for BCI . Positively, we might want to have a substantial number of mental charges, however I don't think this is the principle need in light of the fact that, as it has as of now been appeared, three summons is sufficient to work complex mechanical technology frameworks furnished they are enriched with shared control. Conveying quick charges runs as an inseparable unit with another test, in particular a high power, which doesn't really infer consummate exactness. As talked about some time recently, the basic issue is low blunders. One of the fundamental wellsprings of mistakes is that mind signs are nonstationary and change normally after some time. An answer is online adjustment of the interface to the client to keep the BCI continually tuned to its proprietor . Another integral arrangement is to adventure clients' psychological capacities to recognize blunders specifically from their EEG. Late outcomes have indicated palatable single-trial acknowledgment of blunder possibilities that emerges a few milliseconds after clients get mindful of the mistaken reactions of the BCI. Accordingly, client's summons are executed just if no blunder is identified in this brief timeframe, what prompts critical change of the BCI execution . What's more, this new sort of blunder potential gives execution criticism that, in mix with online adjustment, permits enhancing the BCI while it is being utilized.
Figure 4: Mind controlled robot
Limitations of the existing technology:
After conducting the background research it has been found that the research and development activities in the area of the human computer interaction through the brainwaves have reached to a high level. There are different types of devices like robots, wheel chairs and some computing devices which can be controlled through the use of the human mind or brainwaves. However, the human mind controlled car that would be able to drive in the road. The proposed design of the car and the ideas have been written over the following section of the research paper.
The standard behind the entire component is that the motivation of the human brain can be tracked and even decoded. The Low-Frequency Asynchronous Switch Design follows the engine neurons in the mind. At the point when the driver endeavors for a physical development, he/she sends a motivation to the engine neuron. These engine neurons convey the flag to the physical parts, for example, hands or legs. Thus we translate the message at the engine neuron to get greatest precision. By watching the tangible neurons we can screen the eye development of the driver. As the eye moves, the cursor on the screen likewise moves and is additionally lit up when the driver focuses on one specific point in his condition. The sensors, which are put at the front and backsides of the auto, send a live criticism of nature to the PC. The guiding wheel is turned through a particular edge by electromechanical actuators. The edge of turn is aligned from the separation moved by the speck on the screen. Mind PC interfaces will build acknowledgment by offering altered, savvy help and preparing, particularly for the non-master client. Improvement of such an adaptable interface worldview brings a few difficulties up in the regions of machine discernment and programmed clarification. The groups doing research in this field have built up a solitary position, cerebrum controlled change that reacts to particular examples distinguished in spatiotemporal electroencephalograms (EEG) measured from the human scalp.
Figure 5: Conceptual framework for the mind controlled car
(Source: Designed by the author)
The smart mind controlled car would have hi-tech features regarding the security of the whole car system. Only authorised people can enter in the driver seat of the car. This would be controlled by the automatic face detection system of the car. Once the driver reached near the car, the system would be automatically started. Then the face detection system of the car would recognise the face of the driver and authenticate the entry to the driver seat. After that the driver need to wear the neuro headset connected to the car interface system on the head. Then the drier would be able to control the car operation through the power of mind. The headsets would read and understand the signals of the brainwaves of the driver and then these signals would be used as the inputs of the HCI system of the car. Based on these inputs, the car would function properly just like the other cars. If proper funding are available and proper research work would be performed, then these cars would be available to see in the roads in the next few years.
Benefits and Risks
IT is true that the mind controlled car will bring a lot of benefits to the world of innovation. However, every bright side has an opposite ark side. Likewise, the implementation and use of the mind controlled cars also has some risks besides the benefits. The different types of the benefits and risks of the proposed system have been analysed in the following section.
BCIs diminish the slack between choosing to move the mouse...moving it...and the cursor really moving. The slack is little yet has a significant effect to some time-touchy applications (military uses, PC diversions and so on). A BCI can comprehend what you are thinking before you do. They can distinguish the electrical neural examples as an idea - before the example has completely showed into a cognizant feeling/summon.
They hold awesome potential for individuals who are deadened or generally not able to utilize their hands. This is likewise valid for individuals whose hands are recently generally possessed.
This is an innovative and advance technology, which would bring a lot of benefits to the modern society as discussed in the few points above. In this context, high level of investment is required. However, the efficient development of the proposed car would be beneficiary for the business perspective also. The new hi-tech cars would be very attractive and the business owners would be able to get huge profits from the cars.
Inquire about into BCIs right now is at a genuinely essential level considering the many-sided quality of the issue.
BCIs are as of now genuinely wrong as far as arranging neural movement.
BCIs put outside of the skull have a restricted capacity to peruse cerebrum signals.
They can be put under the skull, however this requires entirely uncommon surgery.
Understanding individuals' inward considerations accompanies an enormous measure of moral issues.
The car movements would be controlled by the use of the mind of the driver. Therefore, the driver should focus deeply on the control on the car only. The diversion in the mind of the driver
The human computer interface has reached to a high dimension in the present. Human-PC connection (HCI) has generally been the space of building and brain research. Here, we approach it from the point of view of outline. Our concentration goes past just utilizing innovation to take care of an issue. It is about making an innovation experience that will be useful, natural, and even delightful for the general population who utilize it. The objective of the human-PC communication plan (HCI/d) program is to show you to have a similar outlook as an architect. Our approach is research-based, however never inflexible. In spite of the fact that understudies take after exceedingly organized educational programs that sets them up for an expert vocation, there is a lot of space to seek after individual interests. In this project, the proposed innovation in the area of the HCI is the development of a smart car that can be fully controlled by the mind of the user i.e., the brainwaves. HCI configuration ought to consider numerous parts of human practices and should be valuable. The unpredictability of the level of the inclusion of a human in collaboration with a machine is once in a while imperceptible contrasted with the effortlessness of the cooperation technique itself. Mind PC interfaces will build acknowledgment by offering tweaked, astute help and preparing, particularly for the non-master client. Advancement of such an adaptable interface worldview brings a few difficulties up in the territories of machine observation and programmed clarification. The neuro headsets would be used as the input device between the human mind and the computer interface of the smart cars. The headsets would read and understand the signals of the brainwaves of the driver and then these signals would be used as the inputs of the HCI system of the car. Based on these inputs, the car would function properly just like the other cars. There are some potential benefits of the system as well as some of the risks as mentioned in the report. Effective level of research and development activities and high amount of investment is required for bringing this idea into reality.
 S. N. Abdulkader, A. Atia, and M. S. M. Mostafa, “Brain computer interfacing: Applications and challenges,” Egyptian Informatics Journal, vol. 16, no. 2. pp. 213–230, 2015.
 L. Bai, T. Yu, and Y. Li, “A brain computer interface-based explorer,” J. Neurosci. Methods, vol. 244, pp. 2–7, 2015.
 J. W. Bang, E. C. Lee, and K. R. Park, “New computer interface combining gaze tracking and brainwave measurements,” IEEE Trans. Consum. Electron., vol. 57, no. 4, pp. 1646–1651, 2011.
 M. C. F. Castro, S. P. Arjunan, and D. K. Kumar, “Selection of suitable hand gestures for reliable myoelectric human computer interface,” Biomed. Eng. Online, vol. 14, no. 1, p. 30, 2015.
 X. Chen, Y. Wang, M. Nakanishi, X. Gao, T.-P. Jung, and S. Gao, “High-speed spelling with a noninvasive brain–computer interface,” Proc. Natl. Acad. Sci., vol. 112, no. 44, pp. E6058–E6067, 2015.
 M. M. Fouad, K. M. Amin, N. El-Bendary, and A. E. Hassanien, “Brain computer interface: A review,” Intell. Syst. Ref. Libr., vol. 74, pp. 3–30, 2015.
 L. Galway, P. McCullagh, G. Lightbody, C. Brennan, and D. Trainor, “The Potential of the Brain-Computer Interface for Learning: A Technology Review,” in 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, 2015, pp. 1554–1559.
 M. A. Jos?? and R. De Deus Lopes, “Human-computer interface controlled by the lip,” IEEE J. Biomed. Heal. Informatics, vol. 19, no. 1, pp. 302–308, 2015.
 K. Kasahara, C. S. DaSalla, M. Honda, and T. Hanakawa, “Neuroanatomical correlates of brain-computer interface performance,” Neuroimage, vol. 110, pp. 95–100, 2015.
 B. J. Lance, S. E. Kerick, A. J. Ries, K. S. Oie, and K. McDowell, “Brain-computer interface technologies in the coming decades,” in Proceedings of the IEEE, 2012, vol. 100, no. SPL CONTENT, pp. 1585–1599.
 Y. Lei, H. Han, F. Yuan, A. Javeed, and Y. Zhao, “The brain interstitial system: Anatomy, modeling, in vivo measurement, and applications,” Progress in Neurobiology, 2015.
 N. Martinel, C. Micheloni, C. Piciarelli, and G. L. Foresti, “Camera selection for adaptive human-computer interface,” IEEE Trans. Syst. Man, Cybern. Syst., vol. 44, no. 5, pp. 653–664, 2014.
 C. M. McCrimmon, C. E. King, P. T. Wang, S. C. Cramer, Z. Nenadic, and A. H. Do, “Brain-controlled functional electrical stimulation therapy for gait rehabilitation after stroke: a safety study,” J. Neuroeng. Rehabil., vol. 12, no. 1, p. 57, 2015.
 D. P. McMullen et al., “Demonstration of a semi-autonomous hybrid brain-machine interface using human intracranial EEG, eye tracking, and computer vision to control a robotic upper limb prosthetic,” IEEE Trans. Neural Syst. Rehabil. Eng., vol. 22, no. 4, pp. 784–796, 2014.
 R. A. Miranda et al., “DARPA-funded efforts in the development of novel brain-computer interface technologies,” Journal of Neuroscience Methods, vol. 244. pp. 52–67, 2014.
 I. A. Mirza et al., “Mind-controlled wheelchair using an EEG headset and arduino microcontroller,” in Proceedings - International Conference on Technologies for Sustainable Development, ICTSD 2015, 2015.
 N. Naseer and K.-S. Hong, “fNIRS-based brain-computer interfaces: a review,” Front. Hum. Neurosci., vol. 9, 2015.
 L. F. Nicolas-Alonso and J. Gomez-Gil, “Brain computer interfaces, a review,” Sensors, vol. 12, no. 2. pp. 1211–1279, 2012.
 M. H. P and S. K. Jose, “Mind-Bot?: An EEG Based Mind Controlled Mobile Robot,” IJESC, pp. 1201–1206, 2015.
 M. Peer, R. Salomon, I. Goldberg, O. Blanke, and S. Arzy, “Brain system for mental orientation in space, time, and person,” Proc. Natl. Acad. Sci., vol. 112, no. 35, pp. 11072–11077, 2015.
 D. Rempel, M. J. Camilleri, and D. L. Lee, “The design of hand gestures for human-computer interaction: Lessons from sign language interpreters,” Int. J. Hum. Comput. Stud., vol. 72, no. 10–11, pp. 728–735, 2014.
 D. Salvekar, A. Nair, D. Bright, and P. S. A. Bhisikar, “Mind Controlled Robotic Arm,” IOSR J. Electron. Commun. Eng., pp. 36–44, 2015.
 R. Santos, N. Santos, P. M. Jorge, and A. Abrantes, “Eye Gaze as a Human-computer Interface,” Procedia Technol., vol. 17, pp. 376–383, 2014.
 J. J. Shih, D. J. Krusienski, and J. R. Wolpaw, “Brain-computer interfaces in medicine,” Mayo Clinic Proceedings, vol. 87, no. 3. pp. 268–279, 2012.
 L. F. Tan, Z. Dienes, A. Jansari, and S. Y. Goh, “Effect of mindfulness meditation on brain-computer interface performance,” Conscious. Cogn., vol. 23, no. 1, pp. 12–21, 2014.
 S. Will, U., & Makeig, “EEG Research Methodology and Brainwave Entrainment.,” in e, and the Rhythmic Brain: Cultural and Clinical Implications, 2011, pp. 86–110.
 Q. Xue, X. Han, M. Li, and M. Liu, “A conceptual architecture for adaptive human-computer interface of a PT operation platform based on context-awareness,” Discret. Dyn. Nat. Soc., vol. 2014, 2014.