Unified Biosignal Acquisition in Virtual Reality - An Experimental Platform for EEG, EMG, and Joint Angle Data Collection
(2025) BMEM01 20252Division for Biomedical Engineering
- Abstract
- This thesis presents the development and evaluation of a virtual reality (VR) environment designed for integrated EEG, EMG, and joint movement data collection. The system combines immersive VR with biosignal acquisition technologies, including the Unicorn Hybrid Black EEG, the Myo Armband for electromyography and inertial sensing, and the Cyberglove for hand joint tracking. The goal was to create a flexible, real-time research platform for investigating the neural and muscular correlates of motion and interaction within virtual environments. Three experimental scenarios were conducted: a resting baseline, a simulated movement without interaction, and a task involving physical interaction with virtual objects. Data analysis revealed... (More)
- This thesis presents the development and evaluation of a virtual reality (VR) environment designed for integrated EEG, EMG, and joint movement data collection. The system combines immersive VR with biosignal acquisition technologies, including the Unicorn Hybrid Black EEG, the Myo Armband for electromyography and inertial sensing, and the Cyberglove for hand joint tracking. The goal was to create a flexible, real-time research platform for investigating the neural and muscular correlates of motion and interaction within virtual environments. Three experimental scenarios were conducted: a resting baseline, a simulated movement without interaction, and a task involving physical interaction with virtual objects. Data analysis revealed reliable trends in joint and EMG recordings, with EEG signals showing subtle yet interpretable differences related to motor activity and task complexity. The environment was successfully used to record and synchronize multimodal data, laying a foundation for future studies in neuroscience, rehabilitation, and brain-computer interface development. While the current system demonstrates proof-of-concept success, several limitations were identified—including outdated hardware constraints, interaction fidelity challenges, and minimal environmental complexity. Nevertheless, the modular design and extensibility of the platform highlight its potential for a wide range of research and clinical applications. Future improvements may position this system as a valuable tool in cognitive-motor rehabilitation, neurofeedback, and adaptive human-computer interaction. (Less)
- Popular Abstract
- Exploring the Mind in Virtual Reality: How Technology Is Helping Us Understand the Brain and Body
Have you ever wondered what happens in your brain and muscles when you reach out to grab a glass of water? Or how your brain and body work together when you move through the world, even a virtual one? In this project, we built a system that helps scientists do exactly that: explore the connection between the brain, muscles, and movement using virtual reality (VR).
The idea was simple but ambitious. Imagine wearing a VR headset that puts you inside a digital world. Now, imagine your brainwaves (EEG), muscle activity (EMG), and finger movements being recorded at the same time, in real time, while you interact with that world. This kind of... (More) - Exploring the Mind in Virtual Reality: How Technology Is Helping Us Understand the Brain and Body
Have you ever wondered what happens in your brain and muscles when you reach out to grab a glass of water? Or how your brain and body work together when you move through the world, even a virtual one? In this project, we built a system that helps scientists do exactly that: explore the connection between the brain, muscles, and movement using virtual reality (VR).
The idea was simple but ambitious. Imagine wearing a VR headset that puts you inside a digital world. Now, imagine your brainwaves (EEG), muscle activity (EMG), and finger movements being recorded at the same time, in real time, while you interact with that world. This kind of setup allows researchers to study how we think, move, and respond to our surroundings in a way that’s immersive, flexible, and full of potential.
To make this possible, we combined several high-tech devices. The Unicorn EEG headset recorded brain activity, the Myo Armband captured signals from the forearm muscles, and the Cyberglove tracked finger and wrist movements. These were all connected through a 3D environment created in Unity, a powerful software engine used in both gaming and scientific simulations. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9216104
- author
- Nordling, David LU
- supervisor
-
- Jia Liu LU
- Nebojsa Malesevic LU
- organization
- alternative title
- Integrerad biosignalinsamling i virtuell verklighet - En experimentell plattform för insamling av EEG-, EMG- och ledvinkeldata
- course
- BMEM01 20252
- year
- 2025
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- VR, EEG, EMG
- language
- English
- additional info
- 2025-22
- id
- 9216104
- date added to LUP
- 2025-12-18 09:31:47
- date last changed
- 2025-12-18 09:31:47
@misc{9216104,
abstract = {{This thesis presents the development and evaluation of a virtual reality (VR) environment designed for integrated EEG, EMG, and joint movement data collection. The system combines immersive VR with biosignal acquisition technologies, including the Unicorn Hybrid Black EEG, the Myo Armband for electromyography and inertial sensing, and the Cyberglove for hand joint tracking. The goal was to create a flexible, real-time research platform for investigating the neural and muscular correlates of motion and interaction within virtual environments. Three experimental scenarios were conducted: a resting baseline, a simulated movement without interaction, and a task involving physical interaction with virtual objects. Data analysis revealed reliable trends in joint and EMG recordings, with EEG signals showing subtle yet interpretable differences related to motor activity and task complexity. The environment was successfully used to record and synchronize multimodal data, laying a foundation for future studies in neuroscience, rehabilitation, and brain-computer interface development. While the current system demonstrates proof-of-concept success, several limitations were identified—including outdated hardware constraints, interaction fidelity challenges, and minimal environmental complexity. Nevertheless, the modular design and extensibility of the platform highlight its potential for a wide range of research and clinical applications. Future improvements may position this system as a valuable tool in cognitive-motor rehabilitation, neurofeedback, and adaptive human-computer interaction.}},
author = {{Nordling, David}},
language = {{eng}},
note = {{Student Paper}},
title = {{Unified Biosignal Acquisition in Virtual Reality - An Experimental Platform for EEG, EMG, and Joint Angle Data Collection}},
year = {{2025}},
}