Introduction to Brain Computer Interface (BCI)

One of the most prominent technical advancement in today’s are is the Human Computer Interface. This technology has been further enhanced by making use of the automated process and has been developed further by making use of the BCI or the Brain-Computer Interface. The technology which has been discussed over here is associated with taking inputs from the brain in a direct manner as well as from the computer systems associated with providing of the outputs which are desired. This is of great vitality for the water resources (Agrawal, 2013). The major reason lying behind this is because of the fact that it provides visualization of the water resources. The technology is categorized into two sections which includes the transmitter and the receiver. The transmitter is associated with the transmission and amplification of the electrical pulses which are necessary for transmitting the data that are necessary for the system. The receiver is associated with the collection of the data so as to present the outputs as desired. This communication is done directly from the brain to the computer and contrarily in the computers to the brain channels. Besides this the signal gets transmitted from the system which are received by the brains of human (LaFleur et al., 2013). In addition to there also exists a notable fact that is the entire process generally occurs in a real-time environment and in real world scenarios. In this report we would be discussing about the potential impacts of the BCI upon the water resources.

The impacts of the technology would be revolutionary for the water resources and the impact of the technology upon the water resources can be categorized in three different ways and this includes the following:

1. Impact upon the water resources: The impact upon the water resources upon the water resources is seen to be very prominent. The BCI enabled devices present near the water resources would be helping the authorities to determine the water levels along with the pollution levels and many more. Hence it is possible to state that the adaptation of this technology in order to maintain the water resources would be having a potential impact upon environment in and around the water resources. This might be including the livelihood around the water resource the pollution level and many more (Naseer & Hong, 2013).
2. Impact of BCI upon other industries: This technology that has been discussed over here or the BCI would be having a prominent impact upon the other industries especially for the manufacturing industry. BCI is the technology which is associated with enhancing the monitoring capability of certain field by a single entity so as to supervise and control the different kind of the activities occurring in and around the water resources.
3. Integration of the IoT with the BCI: By integrating the IoT technology with the BCI technology it is possible to enable the process of controlling the various kind of automated devices that are present in the IoT network (Amiri, Fazel-Rezai, & Asadpour, 2013).

The impact of the BCI technology upon the water resources in accordance to the Lawrence Lessig’s regulations have been listed below:

1. Market: The trend of implementing the BCI technology is having an prominent disadvantage which is also associated with the economy. The major disadvantage is the high cost that is involved in the usage of this technology which is generally enhanced by the numerous devices that are used around the water resources and besides this it acts as major constraint for the technological impact that has been discussed (Lulé et al., 2013).
2. Law: This particular technology known as the BCI is a disruptive technology which is not having any particular or appropriate law that has been deduced in order to be implemented upon this technology (Khan, Hong & Hong, 2014). However the collection of the data from the human brain can be stated to be a violation of the universal human rights.
3. Architecture: The architecture required to integrate the BCI technology with the devices present with the people working around the water resources have never been discussed neither has been attempted. Besides this the robust nature of the people working with the water resources also acts as one of the major constraint for the impact of the BCI technology (Ang et al., 2015).
4. Norm: As seen that the implementation of the BCI technology is a violation of the human rights and this acts as a legal constraint that is also associated with generation of various kind of ethical disturbances.

The section provided below is associated with discussing the impact of the BCI upon the water resources and the images which has been provided below is associated with depicting the situation before and after implementation of the BCI technology.

In the figure the actors which has been discussed mainly includes the workers around the water resources, other lives, the supervisor of the system and the admin system associated wirg managing the resources. Whereas the major processes includes the unwanted situation development and in case if it is seen that the situation can be controlled then the process would be continuing. In case if it is seen that the situation is critical then the authorities would be associated would be informed so as to take instant actions (Chen et al., 2015). Admin system would process the data. The process discussed is elaborated and is associated with taking into considerations of the different victims. Whereas the processes are developed regarding any kind of unwanted situations that would be associated with providing information to the onsite authorities along with the transmission of the data signal, processing of the data and lastly arrival of help for any unwanted situations (Kaufmann et al., 2013). The final outcome would be including the arrival of the help and besides this, the key decision points include the taking of decisions depending upon the seriousness of the situation. The final process is time consuming as well as requires a lot of effort.

Impacts of BCI technology on water resources

The discussion that has been conducted is associated with the presenting of the management process when the BCI technology has been implemented. In case of occurance of any undesired situation the BCI would be associated with sending of significant details to the authorities in order to take actions that would be helpful in minimizing the impact of damages. In the figure provided below the efficient management process has been provided by usage of the BCI technology.

Hi all viewers, this is [Name of the student] and right now you are viewing my channel [Name of the channel]. This video is mainly regarding the topic BCI or Business Computer Interface and its implementation.

As you all are familiar with the power of the Professor X from the movie X-Men. There is nothing to describe about the powers he was having of reading the mind of people. In real world also this kind of super natural thing is possible. We all have been associated with fantasizing regarding this kind of powers and by usage of the BCI it is possible.

BCI or the Brain Computer Interface is as new technology that has been associated with enabling the interactions of the computing devices with the brain. This done in association with the computing devices through the pulses that are produced by the brain. In a similar way a contradiction action is also possible where the computer is capable of sending electrical signals to the brains making them sensible along with visualizing and hear this or any other kind of actions.

The technology BCI which has been discussed has been associated with proving its efficiency in different kind of industries like the healthcare I which it is seen that the persons with physical disabilities are using this technology in a prominent way for the purpose of mitigating the effects related to disability. Besides this the other industries are also trying to leverage this technology which is expected to succeed with time.

Another major implication of this technology is seen in the management of water resources. But the cost that is required is generally high along with which the availability of the technology is also difficult. This in turn makes the adaptation of the BCI very difficult.

However we believe that with time this technology would become much cheaper and available so as to be adopted by the commoners, so let’s wait for the implementation of this BCI technology.

The first and foremost thing that I would be doing is the integration of this technology with the IoT so as to gain power like Professor X in real world.

Thank you.

References:

Agrawal, K. (2013). Brain computer interface. Data Mining and Knowledge Engineering, 5(8), 312-318.

Amiri, S., Fazel-Rezai, R., & Asadpour, V. (2013). A review of hybrid brain-computer interface systems. Advances in Human-Computer Interaction, 2013, 1.

Ang, K. K., Chua, K. S. G., Phua, K. S., Wang, C., Chin, Z. Y., Kuah, C. W. K., … & Guan, C. (2015). A randomized controlled trial of EEG-based motor imagery brain-computer interface robotic rehabilitation for stroke. Clinical EEG and neuroscience, 46(4), 310-320.

Chen, X., Wang, Y., Nakanishi, M., Gao, X., Jung, T. P., & Gao, S. (2015). High-speed spelling with a noninvasive brain–computer interface. Proceedings of the national academy of sciences, 112(44), E6058-E6067.

Kaufmann, T., Schulz, S. M., Köblitz, A., Renner, G., Wessig, C., & Kübler, A. (2013). Face stimuli effectively prevent brain–computer interface inefficiency in patients with neurodegenerative disease. Clinical Neurophysiology, 124(5), 893-900.

Khan, M. J., Hong, M. J., & Hong, K. S. (2014). Decoding of four movement directions using hybrid NIRS-EEG brain-computer interface. Frontiers in human neuroscience, 8, 244.

LaFleur, K., Cassady, K., Doud, A., Shades, K., Rogin, E., & He, B. (2013). Quadcopter control in three-dimensional space using a noninvasive motor imagery-based brain–computer interface. Journal of neural engineering, 10(4), 046003.

Lulé, D., Noirhomme, Q., Kleih, S. C., Chatelle, C., Halder, S., Demertzi, A., … & Thonnard, M. (2013). Probing command following in patients with disorders of consciousness using a brain–computer interface. Clinical Neurophysiology, 124(1), 101-106.

Naseer, N., & Hong, K. S. (2013). Classification of functional near-infrared spectroscopy signals corresponding to the right-and left-wrist motor imagery for development of a brain–computer interface. Neuroscience letters, 553, 84-89.