Why BrainAccess?
Electroencephalography (EEG) has evolved from a niche laboratory tool into one of the most versatile technologies for understanding, interacting with, and augmenting the human brain. Thanks to advances in portable hardware, AI-driven analysis, and flexible software, EEG is now accessible to researchers, developers, and innovators across diverse domains.
At BrainAccess, we design mobile dry-contact electrode solutions designed to bridge the gap between cutting-edge neuroscience and real-world applications.
BRAINACCESS PRODUCTS ARE SUITABLE FOR
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Scientist exploring brain mechanisms
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Educator teaching cognitive neuroscience
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Companies building neuroadaptive products
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Students and developers exploring the brain and creating their own BCI apps
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Researchers working in the field who need lightweight, portable, efficient solutions
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Individuals who want to improve productivity, relaxation, meditation, and more
KEY AREAS WHERE BRAINACCESS EEG SYSTEMS EXCELS
Neuroscience Research
Optimized for experiments in the field, combining high-quality data with portability and ease of setup.
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Cognitive Neuroscience
Studying attention, perception, memory, and decision-making in both lab and real-world environments. Measure alpha oscillations, event-related potentials (ERPs) in response to stimuli, and more.
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Clinical Research
Investigating biomarkers of neurological conditions such as epilepsy, or sleep disorders. Dry-electrode systems reduce setup time, making EEG practical for patient studies outside the clinic.
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Naturalistic Experiments
With mobile EEG, researchers can move beyond controlled labs and study brain activity in everyday environments, such as while watching films, or engaging in conversations.
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Lowering Barriers
By being easy and affordable, BrainAccess empowers universities, educators, companies, and independent labs to explore the brain more flexibly than ever before.
Real-world example
A pilot study [1] leveraging the BrainAccess MINI kit examined the potential of continuous brain activity monitoring to predict life-threatening hypoglycemic and hyperglycemic episodes. Preliminary findings suggest this approach holds real promise, laying the groundwork for early-warning predictive algorithms that could act ahead of conventional symptom onset.
Read more on our blog
Open dataset available
An open dataset collected with BrainAccess MIDI is available [2]. The dataset focuses on how driving experience has an impact on attention and cognitive control in young adults and includes precisely timed event markers and detailed participant metadata such as driving experience, mobile phone usage, and self-reported emotional state prior to the experiment.
More info and download links
Get in touch with us for a collaboration or if you need more information.
Our team includes experts from multiple backgrounds who can support you and help you design your experiment and tackle different challenges.
Brain-Computer Interfaces (BCI)
Design to facilitate translating neural activity into control signals, enabling direct interaction between the brain and external devices.
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Assistive Technology
Enabling communication or mobility aids for individuals with severe motor impairments, such as controlling a cursor, wheelchair, or robotic arm using brain signals.
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Gaming and Entertainment
Creating immersive neuroadaptive games where difficulty adjusts based on engagement or emotional state.
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Hands-Free Interfaces
Using motor imagery and custom protocols to control drones, smart home devices, or augmented reality systems without physical input.
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Custom BCI apps
BrainAccess hardware and SDKs allow developers to prototype and test BCI applications rapidly, supporting innovation in both academic and commercial settings.
Real-world examples
In two recent studies [3, 4] using our BrainAccess MIDI device, researchers explored a novel BCI system designed to enhance attention in children and teenagers by dynamically adjusting environmental distractions (such as temperature, lighting, noise, and font size). The system achieved 87% classification accuracy, effectively distinguishing between focused and unfocused mental states. Moreover, by adapting on the fly, the system improved kids’ focus by 57%.
Read more on our blog
Our BrainAccess MINI was featured in a recent study combining applied Human-Computer Interaction (HCI) and prosthetic control [5]. The work aims to create a new synchronized dataset for prosthetic users, enabling meaningful fusion of EEG and EMG signals and supporting machine learning models that can run efficiently on low-power embedded devices.
Read more on our blog
Find out the most popular BCI protocols on our blog.
Mental State Monitoring
Optimal to study cognitive and mental states in real-world settings and to develop applications that adapt to users’ needs.
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Fatigue and Vigilance Tracking
Monitoring drowsiness in drivers or pilots, alerting them when attention levels drop.
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Workload and Stress
Evaluating cognitive load in high-pressure environments (e.g., air traffic control, surgery, or military operations).
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Well-being and Meditation
Providing neurofeedback to help individuals achieve relaxed or focused mental states during mindfulness and wellness practices.
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Neuroadaptive AI Systems
Developing systems that adapt to changes in EEG signal to adjust responses, UX, or interactions in real time.
Real-world example
A group of researchers using BrainAccess EEG devices developed an affective computing system that classified emotions into three key dimensions: valence, arousal, and dominance. Using machine learning algorithms they achieved high accuracy in recognizing emotions from EEG data [6]. The research is now expanding into clinical settings, with a focus on emotion recognition in autism to support more effective therapeutic interventions [7].
Prototyping and Developing
Built to support prototyping and iterative development.
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SDK & API
Accelerate the process of moving from an idea to a working prototype thanks to our SDKs in multiple languages.
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AI & Machine Learning
Training algorithms on EEG data for classification tasks such as mental state decoding, anomaly detection, or personalized feedback.
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App Development
Building mobile applications with our Kotlin SDK. Integrate real-time EEG feedback, from productivity apps to creative music tools or neurofeedback loops.
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Hardware Integration
Pairing EEG with VR headsets, wearables, or IoT devices to explore multimodal interaction. All this is possible with our lightweight, portable, and fully wireless EEG amplifiers.
Heroes of the Brain: our Neurohackaton with KN Neuron
Read the recap for the 2025 edition
Join this year edition! More info coming soon!
Education and Training
Ideal for classrooms, workshops, and at-home learning environments where time, comfort, and accessibility matter most.
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University Courses
Demonstrating neural oscillations, ERPs, or BCI principles with live EEG recordings.
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STEM Outreach
Engaging students in neuroscience through interactive demonstrations such as controlling a game with brain signals.
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Professional Training
Teaching clinicians, psychologists, or engineers how to record and interpret EEG data.
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Effects of AI on Learning
Evaluate how AI tools influence teachers’ and students’ attention, cognitive effort, and workload during the educational process.
Teaching neuroscience and human-computer interaction can be difficult without practical, hands-on tools. BrainAccess makes EEG approachable and engaging for classrooms, workshops, and training programs, giving students the chance to explore brain activity in real time.
Beyond teaching, EEG can also become a tool inside the classroom itself. With BrainAccess, educators and researchers can non-invasively measure students’ and teachers’ engagement, attention, workload, cognitive effort, and even aspects of well-being during the learning process. This opens the door to more evidence-based teaching, adaptive learning environments, and deeper insights into how people learn and communicate.
Read more on our blog.
The Artificial Intelligence Tools for General Education Teachers (AItools4Teachers) project investigates how AI technologies can improve teachers’ work efficiency in Latvian K–12 schools, with a focus on non-contact time (NCT) tasks such as lesson planning, material creation, assessment, and communication.
The initiative aims to identify ethical, effective, and practical ways for educators to integrate AI into their daily workflow to enhance productivity, well-being, and work-life balance.
Its key goals include reviewing international best practices, evaluating how AI tools influence teachers’ NCT efficiency and well-being, and developing a national strategy for implementing AI in K–12 education.
As part of the project, BrainAccess HALO devices will be used to monitor how teachers’ brain activity and cognitive state change while using AI tools, providing objective insights into the cognitive load and efficiency effects of AI-assisted workflows.
Neuromarketing
A cost-effective and scalable way to apply EEG in commercial research.
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Advertising
Measuring engagement and emotional responses to TV commercials, online videos, or product placements.
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Product Design
Testing packaging, branding, or retail layouts to identify what captures consumer attention.
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UX and Media Research
Understanding how users interact with apps, websites, or games on a cognitive and emotional level.
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Game theory & Neuroeconomics
EEG can be used to study costumers and player’s behavior and understand unconscious drivers.
Read more about neuromarketing and the science behind consumer research on our blog.
Hyperscanning
Recording EEG simultaneously from multiple people, enabling the study of social interactions and shared brain dynamics.
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Collaboration Research
Measuring neural synchrony between team members working together on problem-solving tasks.
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Education
Analyzing teacher-student brain coupling during lectures or group learning.
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Communication
Explore the neural foundations of real-world communication, from conversations to joint decision-making, by tracking how brains align during interaction.
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Social Interaction
Assess brain synchrony in natural or structured settings, including collaborative and competitive games or tasks, or everyday social exchanges.
BrainAccess makes hyperscanning remarkably easy and accessible. Our devices are fully wireless, comfortable, and portable, so participants can interact naturally, whether they’re sitting in a lab or moving freely in real-world environments.
With built-in multi-device support, you can connect several BrainAccess systems at once and stream all data in real time.
Our Experiment
One effective way to run hyperscanning experiments with BrainAccess is through our Mobile app. Each EEG device connects to an Android phone, which collects and streams data to a local network via Wi-Fi. In a recent in-house experiment, our team connected 5 BrainAccess HALO devices and captured perfectly synchronized EEG data from participants watching advertisement videos. The experiment is aimed at demonstrating how effortlessly BrainAccess can support neuromarketing, social research, and beyond. No lab, no gel, no cables: just 5 people, 5 HALO, and a shared screen!
Read more on our blog
Publications with BrainAccess
[1] Kubascik, M., Chochul, M., Tupy, A., & Karpis, O. (2025). Non-invasive methods for diabetes critical events prediction. IFAC-PapersOnLine, 59(35), 144-149.
[2] García-Ramírez, Y., Gordillo, L., & Pereira, B. (2025). Electroencephalography Dataset of Young Drivers and Non-Drivers Under Visual and Auditory Distraction Using a Go/No-Go Paradigm. Data, 10(11), 175.
[3] Darius-Cristian, B., Mihai-Robert, B., Andrei, B., Tudor, D. B., David, G. I., & Amalia-Ioana, R. (2024, October). Boosting Cognitive Focus via Binary Search of Attention Types Using Brain-Computer Interfaces. In 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 4512-4513). IEEE.
[4] Mihai-Robert, B. E. U., DURDUMAN-BURTESCU, T., & ISTRATE, D. G. (2025). Boosting Cognitive Focus via Attention Types Detection using Brain-Computer Interfaces: A Pilot Study. Applied Medical Informatics, 47(2).
[5] Kubascik, M., Karpis, O., & Sevcik, P. (2025). Prosthetics control using biosignals based human-machine interface and machine learning. IFAC-PapersOnLine, 59(35), 226-231.
[6] Salim, I. L., Awad, O. A., & Abdulhadi, A. S. (2024, November). An Affective Computing Electroencephalogram-based System with Machine Learning Algorithms. In 2024 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) (pp. 1-8). IEEE.
[7] Salim, I. L., Jalal, A. S. A., & Awad, O. A. (2024). A Dataset for Emotion Recognition for Iraqi Autism Individuals as a Step Towards EEG-Based Therapeutic Intervention. Iraqi Journal of Information and Communication Technology, 7(3), 55-70.
Our Products
BrainAccess MINI Kit
8-channel EEG system
Cap and Electrodes included
900 € Excl. VAT
BrainAccess MIDI Kit
16-channel EEG system
Cap and Electrodes included
1,600 € Excl. VAT
BrainAccess MAXI Kit
32-channel EEG system
Cap and Electrodes included
3,000 € Excl. VAT
BrainAccess HALO
4-channel EEG Headband
Fully integrated system
400 € Excl. VAT
BrainAccess Board
Connect your devices via Bluetooth, visualize your data and start recording.
BrainAccess SDK
Get direct control of the devices and access EEG data using C or Python API.
BrainAccess Mobile App
Collect and save data on your smartphone or re-stream it to the Wi-Fi network.
Kotlin SDK
Develop your own Android BCI App effortlessly thanks to our Kotlin SDK and API.