Infrastructure

Research Infrastructure

ELEVATE brings together advanced research equipment, facilities and expertise from its three partners: the University of Patras (UPAT), University of Nottingham (UNOTT) and CYENS Centre of Excellence.

These complementary resources support research in Brain–Computer Interfaces (BCIs), Neuro-AI and Neuro-XR, contributing to the project's key objectives:

Research Excellence: Supporting innovative research and technological development.
Capacity Building: Providing opportunities for training and skills development.
Knowledge Transfer: Sharing expertise, methodologies and best practices across partners.
Collaboration: Encouraging joint research and new partnerships.
Sustainability: Strengthening long-term research capabilities.

Explore Our Infrastructure

Discover the equipment and facilities available across the ELEVATE consortium, showcasing our research capabilities and creating opportunities for collaboration, knowledge exchange and future innovation.

EEG and fNIRS Brain Monitoring Devices

The ELEVATE consortium provides access to non-invasive brain monitoring technologies that support research in neuroscience, BCIs and Neuro-AI.

Electroencephalography (EEG): Records electrical activity at the scalp, reflecting the activity of populations of cortical neurons. Its high temporal resolution enables the study of neural dynamics, brain oscillations, sensory processing and cognitive functions.
Functional Near-Infrared Spectroscopy (fNIRS): Uses near-infrared light to measure changes in cortical blood oxygenation, providing an indirect measure of neural activity through hemodynamic responses. It supports the investigation of cognitive processes in laboratory and real-world settings.

The following systems are available across the ELEVATE consortium to support research, training and collaboration:

Bitbrain Versatile EEG

Three water-based EEG caps in 16-channels configurations for real-time brain activity recording. They use water-based electrodes that can be placed according to standard layouts, allowing quick setup without gels and use in both laboratory and mobile research settings.

Bitbrain Diadem Dry EEG

Two portable EEG headsets with 12 dry electrodes positioned over certain brain areas for recording electrical brain activity. Can be quickly fitted by the user and integrates with common software tools for data acquisition and analysis, allowing use in both laboratory and everyday environments.

Bitbrain Hero Dry EEG

One portable dry-EEG system with 9 electrodes positioned over fronto-central, central and centro-parietal brain areas. It can be setup quickly and used in both laboratory and everyday environments, allowing for recordings suitable for studies on cognitive and sensorimotor activity.

Biosemi ActiveTwo EEG

In a 32-channel configuration, a gel-based EEG system with electrodes arranged according to the International 10-20 layout. It provides high-resolution recordings for EEG, ECG and EMG studies and is intented for use in laboratory environments, where stable conditions and controlled setup can ensure signal quality.

Artinis BRITE MKIII fNIRS

The Artinis Brite MKIII is a lightweight, wireless, and flexible multi-channel fNIRS device for measuring brain oxygenation through changes in oxy-, deoxy-, and total hemoglobin. It offers customizable optode layouts, adjustable interoptode distances, and multi-power gain control for optimal signal quality across participants.

Artinis OctaMon fNIRS

The Artinis OctaMon is a completely wearable, 8-channel functional near-infrared spectroscopy (fNIRS) system designed for non-invasive monitoring of brain oxygenation. It is optimized for prefrontal measurements and supports mobile data acquisition both inside and outside laboratory environments.

XR & Eye-Tracking Devices

Extended Reality (XR) and eye-tracking technologies support research into human behavior, perception and human–computer interaction

Eye-Tracking: Measures gaze direction, fixations and eye movements, providing insights into visual attention and interaction.
Extended Reality (XR): Provides immersive and interactive environments for studying human behavior and developing adaptive applications.

Combined with EEG and fNIRS, these technologies enable multimodal research, integrating neural activity, gaze behavior and user interactions to support the development of neuroadaptive systems.

The ELEVATE consortium provides access to XR and eye-tracking equipment across its partner institutions, supporting research, training and collaborative activities.

Eye-tracking Apparatus

Eye-tracker: Pupil Core

A head-mounted eye-tracking system that records gaze position, pupil size, and scene video using infrared cameras and open-source software. It allows customizable data collection and integration with other physiological sensors or behavioral measurements.

Pupil Lab’s Neon

A wearable eye-tracking platform with modular cameras and a processing unit that enables real-time gaze tracking and scene recording. It is designed for mobile use and can interface with external systems for synchronized multimodal data acquisition.

Tobii Pro Glasses 2

A mobile eye-tracking device with four inward-facing eye cameras and a wide-angle scene camera, providing precise gaze estimation in naturalistic tasks. Data can be streamed or recorded for post-analysis of attention and visual behavior.

eXtended Reality Devices

Meta Quest 3

The Meta Quest 3 is a standalone mixed-reality headset that combines high-resolution pancake-lens displays with full-color passthrough for immersive virtual and augmented reality experiences. It supports interaction through hand and controller tracking. The lab has three devices that allow for the development and evaluation of mixed-reality applications, enabling studies on spatial perception, interaction techniques, and immersive user experiences.

HoloLens 2

A mixed reality headset equipped with depth sensors, hand and eye-tracking, and spatial mapping capabilities. It supports the display of 3D holographic content in real environments and can be used for interaction studies and spatial task evaluation.

Hololens 1

A standalone mixed reality device that combines spatial mapping and basic gesture recognition. It provides see-through augmented overlays within the user’s environment for experimental use in controlled or semi-controlled settings.

Magic Leap 2

An augmented reality headset with a high-resolution display, depth sensing, and hand-tracking capabilities. It allows spatially anchored digital content and supports integration with external measurement systems for experimental studies involving perception and interaction.

High Performance Computing and AI Infrastructure

High-performance computing supports advanced research in BCIs, Neuro-AI and neuroadaptive technologies, enabling:

Neural Data Analysis: Processing complex EEG, fNIRS and multimodal datasets.
AI and Machine Learning: Developing, training and evaluating advanced computational models.
Real-Time Applications: Supporting neural decoding, adaptive algorithms and intelligent feedback systems.
Research and Capacity Building: Providing computational resources for collaborative research, training and skills development.

The Interactive Technologies Lab at the University of Patras hosts Typhon, a GPU-accelerated computing system featuring four NVIDIA Ada Lovelace GPUs with a combined memory capacity of 192 GB. The system uses single-phase immersion cooling for efficient and sustained operation.

A planned expansion to approximately 600 GB of GPU memory will further enhance its capacity to support larger AI models and demanding computational workloads.