Atom

Making the world a better place one problem at a time . the issue we have chosen to raise is millennialism and the increasing patients of ADHD in the future generations. To remove this plague it is necessary to take action and improve our health and keep our mind from wandering to focus more on prod

Project Title

Atom

Project Area of Specialization

NeuroTech

Project Summary

Making the world a better place one problem at a time . the issue we have chosen to raise is millennialism and the increasing patients of ADHD in the future generations. To remove this plague it is necessary to take action and improve our health and keep our mind from wandering to focus more on productive things . our application equips u with just what u need to beat this problem .Social media apps have engulfed our generation keeping us hooked on them so much that we cant survive without them . as the world grew the need to become fast-paced and constantly connected felt important but it is also important sometimes to sit back , take a breath and see life in a new perspective to yield better results and to make new discoveries . the notification bell from our mobile apps keeps us on our toes depriving us of the pleasure to really enjoy a book . our intention with this project is to tap into your brain and slowly divert u away from the toxic habits that rule your brain.

Brain-Computer Interfacing, also known as neural-control interface, mind-machine interface, etc., is the act of providing humans the functionality access, although not impartial, of computers, or any equally programmable and compatible device via nothing but the brain as the input to this interface. Electroencephalography is a medical non-invasive electrophysiological monitoring technique used to graph electrical brain waves, with its current usage in the domain of targeted and isolated research pertaining to the neurological and cerebral side of anatomy. EEG appears to be a reasonable approximation towards a starting point into creating a seamless BCI. The fundamental idea is to use this EEG incorporated BCI to target issues relating to human activities, specifically enhancing the attention span to improve focus in daily activities such as reading and others with similar brain involvement. The methodology we’ve chosen to achieve said claim can be divided into two streams; entertainment incentivized training and specialized controlled training, achieved by mini-games and a book reader respectively, where-in both these utilities are taken use of by the BCI to be built. 

Project Objectives

Problem Statement

Now, a modern-day problem with most underdeveloped countries and even now spanning in places indiscriminate, is a lack of attention span for any human in activities like reading, studying, or focusing in general. People spend most of their time scrolling through social media networking profiles as either a sub-conscious requirement for social status and appreciation, or habitual time wastage. It seldom the case that the brain-children of these tech giants are used for productivity related tasks or managerial, but it cannot be denied that a major vivid part of the unscathed population exists to use these applications for these purposes. For single human being scrolling through their virtual self on social networks and getting entertained, in the background, the sense of pride and happier mood is because of the drug dopamine which for many complex anatomical reasons and signs implies happiness, comfort and pleasure in general. To keep a dopamine cycle going, the “scrolling” or the “scrubbing” takes up most of the social networking quota allocated per hour for every individual. On the other hand, whilst reading to a book or focusing on a task which in effect release this sweet pleasured drug, the user desserts the activity entirely. This in nutshell deductively follows to the conclusion that it’ll lead to a population whose daily completion of any set of tasks relies on self appraisal and dopamine cycles.

Problem Solution for Proposed System

Although it may seem harsh, but to counter this dopamine inflicted population, an internal catalyst such as motivation or regret are useful tools. Self-awareness is important to fight any problem similar nature, because the cause and resolve should belong in the same environment for a victor to evolve. So, to achieve said self-awareness, the above proposed BCI can be used to make any user of the complementary application aware of the fact that he or she has lost focus during the indulgence of this certain task. Technically, this will be achieved by identification of a pattern difference in the Electroencephalograph of the user, which are system will learn by gathering experience and learning from previous examples to build and develop. A state in which the user has lost the focus, reinforcement of attention can be achieved in a multitude of ways a part of which are presented in the modular specialization of the system.

Project Implementation Method

Scope

So, in nutshell, our system is a BCI that detects the mental state of the user while he or she is using the provided utilities and from the detected mental state makes the prediction with some confidence that whether the user is paying attention or has lost focus. The BCI will achieve this using the hardware provisions of an EEG system, a headset, to gather brain wave readings and judge the state by using pre-programmed experience and a learnt model from previous examples. EEG defines its readings to be of five types of waves.if a specific part or cortex of the human brain is targeted, depending on the requirement and the nature of the part of brain, then while performing the activity any change in the mental state can be detected by different fluctuations in all these different types of waves. The command center is located in the frontal lobe which is also responsible for the conscious thought and voluntary movement. Although targeting one cortex limits us from the other aspects of the mental state detection such as emotion recognition, social involvement, the human vision. This also limits the overall accuracy due to lower spatial averaging, upon which the entire system is based. 

Module 1:  Machine Learning

Encompasses the preliminary part of system development

• Dataset collection 
• Feature vector requirement specification
• Learning model architecture design
• Hyper parameterization of activation functions
• Actual machine learning and model testing
• Model compatibility, connectivity, and availability assurance

Module 2: Book Reader (Android/Desktop)

• A simple book reader application
• Minimalistic, and efficient
• Monitors focus while reading the book
• Any PDF can be opened 

Module 3: Headset-Application Integration

• Hardware compatibility and connectivity setup of the headset
• Transferring the data to the system in an appropriate format

Module 4: Focus Reinforcement

To embed a part into the system which “calls” the user back to attention using any one of the following two:

• Sub-module 1: Prioritized Notification

Upon expiration of the attention span, the user gets notified of that with user priority specification

• Notification bell.
• Alert msg.

• Sub-module 2: Comprehension Quiz

The system reads the book up to where the user has read and builds a rudimentary semantic network of the book and picks any branch from the reasoning tree to ask a user any question

• Reading the book and generating a tree.
• Generating questions from the book. 
• Asking the questions and checking them with the answers.

Module 5: User Analytics and Statistics

• Monitoring of user’s brain condition over the period.
• Report generation and storage.
• User profiling and user-driven content upholding.
• Progress report is generated comparing when the user started using the application and present day.

Module 6: Mini Games

To reinforce the focus in a more entertaining way

• A series of mini-games.
• Storing the scores for report generation later.

Benefits of the Project

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Advantages/Benefits of Proposed System

• Users with availability of this application as parts of their daily lives can be more confident in their ability to focus 
• The study and conceptual buildup in general of this endeavor may prove useful and a basis for further development in this field.

• A focus monitored BCI, which we are designing can be used for increased productivity

• We are not centralized on one population, we’re targeting millennials and intellects that want to bring productivity into their daily tasks

• it will contribute to the growing feild of cognitive electro-physiology 

• challenges the  newest claim of AR to increase productivity and does  a better job at it

Technical Details of Final Deliverable

Introduction 

A brain-computer interface, or the power of “Telekinesis”, put in the least amount of words is the provision of control of the system with no, or minimal physical interaction with the system itself, to the human. So, in any BCI, the brain can be said to be the primary peripheral while its divisions, the cortexes, as individual control centers to this peripheral. So, it begs the question, why isn’t a seamless input-output system with the brain a reasonable and practical estimation? The input from the brain, as in the specificity of the desired action by the user has very minuscule existential measurability. Our brain and thence our entire body work on electrical signals generated by the brain and spinal cord specifying, within our body to every organ the action to perform either voluntarily, or involuntarily. But ordering an electrical device to do something with your mind is much more complicated and is rather impossible. EEG on the other hand, is used to detect these electrical waves or brain waves passing through the brain and graph them, and the brain wave graphing reveals, although in a minute amount, information about the current brain state corresponding to the current action the user exhibits. So, a BCI depending upon the state of the brain relevant to a particular action or physical or mental condition, is therefore appropriate. 

stepwise explanation :

• first the headset(emotiv) reads the brain data and passes it to a neural net which classifies the brinwaves to output what the brain waves mean .
• pre-trained neural net takes in the input and according to the user's previous data predicts what the user's command is and what his attention span is and passes thosse commands to mini-games module and focus rei nforcement module.
• mini-games modules uses the commands taken to play games and saves those scores and passes them to the user analytics module.
• the focus reinforcement uses the readings to monitor the user and generates a quiz to keep the interest .
• user analytics creates a report for each and every user to see the improvement in the focus span over time to measure progress.

Final Deliverable of the Project

HW/SW integrated system

Type of Industry

Medical

Technologies

NeuroTech

Sustainable Development Goals

Good Health and Well-Being for People, Quality Education

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com