ANIRUDDHA

Brain Computer Interface

Welcome to the
Future

Welcome to the
Future

We found a way to connect your brain signals to a bioionic arm and efficiently display vitals. Want to know how?

Context of Brain Computer Interface & Problem

Context of Brain Computer Interface &
Problem

As a product designer and UX researcher, I recently had the opportunity to research and design for patients with severe motor disabilities who face challenges in communicating and performing daily tasks independently. Traditional assistive devices have limitations in providing efficient and natural interaction methods.
How might we design a Brain-Computer Interface (BCI) system that enables users to control external devices, such as bionic arms, using their brain waves effectively and intuitively?

As a product designer and UX researcher, I recently had the opportunity to research and design for patients with severe motor disabilities who face challenges in communicating and performing daily tasks independently. Traditional assistive devices have limitations in providing efficient and natural interaction methods.
How might we design a Brain-Computer Interface (BCI) system that enables users to control external devices, such as bionic arms, using their brain waves effectively and intuitively?

IMPACT & STATS

Brain-Computer Interface to perform action that you think,with EEG integration

Brain-Computer Interface to perform action that you think,with EEG integration

Brain-Computer Interface to perform action that you think,with EEG integration

The device aims to integrate a brain-computer interface, with the help of EEG electrodes, that can pick up signals from a whole lot of neurons.

This brain-computer interface can allow people with paraplegia to regain movement
Eg: A brain-controlled bionic Arm.


Research shows BCI-based therapy can improve motor function recovery by up to 30%.
Source

Tools Used

Product Design

Product Design

Brain-Computer Interface
Research Case Study

Brain-Computer Interface Research Case Study

Brain-Computer Interface Research Case Study

March 2022

March 2022

Why BCI?

Why BCI?

As you can see, we listen 10x faster then we write. This holds true not just for language but any form of information- images, video, and audio.


This gets at the very problem BCI’s are aiming to solve: increasing our cognitive bandwidth, as our Input ability exponentially exceeds our Output ability.

Design Process

Design Process

As we initiated the project we made a point of including Human Factors in our design structure and research as well.

Thus, based on a combination of research findings, industry best practices, and Human factors design principles we implemented each micro-task by following a user-centered design Process.

Each Micro-task was crafted to address specific objectives while catering to the diverse needs of the target audience.
Source: https://pubmed.ncbi.nlm.nih.gov/23039777/
McCurdie T, Taneva S, Casselman M, et al. mHealth consumer apps: the case for user-centered design. Biomed Instrum Technol. 2012;Suppl:49-56. doi:10.2345/0899-8205-46.s2.49

Under standing the users
via User Interviews

Under standing the users
via User Interviews

To gain brief insights on user needs and expectations from the product and get to know users' desirable workflow, multiple user interviews were conducted.

Here is a snapshot from one of the interviews,
featuring Priyanka Nayak, works at @Johnson Control providing her insights.

Link to whole interview

Note to all Research Pandits: Appropriate consent was taken before including this image 😊

To gain brief insights on user expectations from the AdsGency AI website and get to know users desired desirable workflow multiple user interviews were conducted.

Here is a snapshot from one of the interviews,
featuring Priyanka Nayak, designer at @Johnson Control explaining her need for the platform.

Note to Research Pandits: Appropriate consent was taken before including this image 😊

Early Testing

FMEA
Failure Mode Effective Analysis

FMEA
Failure Mode Effective Analysis

What is FMEA: It's a process for identifying potential issues in a product.

To gain brief insights on early product problems, we implemented failure mode effective analysis backed by human factors done for electroencephalography technique, keeping user interview pain points and various research insights in mind: user needs and expectations.

To gain brief insights on user expectations from the AdsGency AI website and get to know users desired desirable workflow multiple user interviews were conducted.

Here is a snapshot from one of the interviews,
featuring Priyanka Nayak, designer at @Johnson Control explaining her need for the platform.

Note to Research Pandits: Appropriate consent was taken before including this image 😊

Brief Research Study

How Brain-Computer Interface
works

For a fundamental grasp of brain-computer interfaces, comprehending the human brain's structure is paramount. The human brain consists of these components-Cerebellum (responsible for balance, coordination, feelings, most sensory part), Cerebrum (the larger brain), Brainstem (controls heart rate, respiratory process, sleep, facial sensations).

Signal from
Neurons

The brain is made up of networks of small cells called neurons that communicate electrochemically to enable you to think, feel, and interact. The electrical charge changes when different activities take place. The +ve -ve creates a dipole and is detected outside the brain. These signals are further used in EEG.

The course follows and explains 5 Planes laid out by author JJ Garrett in her book The Elements of User Experience, ensuring material is solid always updated & reflective of the latest trends.

5 types

Brain Waves

We subdivide these into distinctive brain waves, each representing a unique mental state: Gamma (γ)- Focus, Beta (β)- Dominant anxiety, active and relaxed, Alpha (α)- Highly relaxed, passive mindfulness, Theta (θ)- Profoundly relaxed, inwardly attentive, Delta (δ)- Sleep

Electroencephalography
(EEG)
Electroencephalography
(EEG)

It is a technique that measures the electrical activity of the brain. 

During the procedure, electrodes
 made of small metal discs with thin wires are attached to the scalp.

The electrodes detect tiny electrical charges that result from the activity of brain cells.

It is a technique that measures the electrical activity of the brain. 

During the procedure, electrodes
made of small metal discs with thin wires are attached to the scalp.

The electrodes detect tiny electrical charges that result from the activity of brain cells.

EEG

Electrodes over scalp

BCI

Flow-Diagram

Transmission & Working

These signals are further transmitted by converting them to a computer readable interface- This is how BCI works!

Focused Personas

Above Personas were kept in mind to build a user-centric solution that perfectly meets the needs and expectations of not only our clinicians but also for people.

BCI Literacy

BCI Literacy

Designing for comprehension and “BCI literacy as 30% of survey participants had no idea about BCI

Designing for comprehension and “BCI literacy as 30% of survey participants had no idea about BCI

FMEA

FMEA

Extensive user research (FMEA, RCA, etc) to understand user needs, goals, and frustrations

Iterations

Iterations

Iterative design process with continuous user testing and feedback
Collaboration between UX/HF designers, engineers, and clinicians

Signal Acquisition Dashboard

Signal Acquisition Dashboard

Signal Acquisition Dashboard

A more effective way to track BCI

A more effective way to track BCI

A more effective way to track BCI

Once we answered the burning questions, we commenced design right away. This is how a mid-fidelity wireframe of the dashboard looks.

Once we answered the burning questions, we commenced design right away. This is how a mid-fidelity wireframe of the dashboard looks.

Once we answered the burning questions, we commenced design right away. This is how a mid-fidelity wireframe of the dashboard looks.

BCI Circuit Represting 4 Type Of Brain Waves

Note: Only a few visuals are displayed. respecting signed NDA

Note: Only a few visuals are displayed. respecting signed NDA

Collecting Signals

The signal acquisition part starts with the signal picking from electrodes. That picks the signal from the brain from over the scalp.

Collecting Signals

The signal acquisition part starts with the signal picking from electrodes. That picks the signal from the brain from over the scalp.

Collecting Signals

The signal acquisition part starts with the signal picking from electrodes. That picks the signal from the brain from over the scalp.

IA takes the difference

After electrodes, the signal goes to the instrumentation amplifier that takes the difference and rejects the common mode and makes the signal readable by the circuit.

IA takes the difference

After electrodes, the signal goes to the instrumentation amplifier that takes the difference and rejects the common mode and makes the signal readable by the circuit.

IA takes the difference

After electrodes, the signal goes to the instrumentation amplifier that takes the difference and rejects the common mode and makes the signal readable by the circuit.

Notch Filter Design

After instrumentation AD620 the signal goes to the 60 Hz notch filter for removing line noise coming at 60 Hz.

Notch Filter Design

After instrumentation AD620 the signal goes to the 60 Hz notch filter for removing line noise coming at 60 Hz.

Notch Filter Design

After instrumentation AD620 the signal goes to the 60 Hz notch filter for removing line noise coming at 60 Hz.

Final Gain transmission

After a 31 Hz low pass, there comes the final amplification part in this part we amplify the signal and set the final Gain.

Final Gain transmission

After a 31 Hz low pass, there comes the final amplification part in this part we amplify the signal and set the final Gain.

Final Gain transmission

After a 31 Hz low pass, there comes the final amplification part in this part we amplify the signal and set the final Gain.

Future Scope

Future Scope

BCI are ready to take over the world

BCI are ready to take over the world

Ethical Considerations

Ethical Considerations

Advancements in BCI Technology

Advancements in BCI Technology

BCI for Gaming

AI integration

Integration of AI

Integration of AI

BCI for Gaming

Want to work together?

Want to work together?

Feel free to reach out at

Feel free to reach out at

asainkar@gmail.com

asainkar@gmail.com

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