BCI Technology and its Potential Impacts on Water Resources

This report discusses the potential impacts of BCI technology on water resources, including its impact on the environment, other industries, and integration with IoT. It also covers the regulations and ethics surrounding BCI technology and its disruption in the management of water resources.

Running head: DIGITAL FORENSICS
Digital Forensics
[Name of the Student]
[Name of the University]
[Author note]

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Introduction:
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.
Brainstorming:
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:
a. 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

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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).
b. 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.
c. 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).
Regulations and Ethics:
The impact of the BCI technology upon the water resources in accordance to the
Lawrence Lessig’s regulations have been listed below:
A. 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

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besides this it acts as major constraint for the technological impact that has been
discussed (Lulé et al., 2013).
B. 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.
C. 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).
D. 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.
Disruption:
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

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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.
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

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damages. In the figure provided below the efficient management process has been provided
by usage of the BCI technology.
Video plan:
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

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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.

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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.

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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.