RECENT UPDATES


2024
Ddog- A Brain-Controlled Quadruped Robot: A Proof-of-Concept Demonstration
2023
Using Wearable Brain Sensing Glasses during Zero-G Flight for Hyperscanning: Preliminary Study
October 2023
Using Wearable Brain Sensing Glasses during Zero-G Flight for Hyperscanning: Preliminary Study
September-October 2023
MIT Technology Review Cover Story: 'Feet on Earth, head in the stars'
October 2022
Are Brain Implants the Future of Computing?
October 2022
Decoding Visual Imagery Using EEG/ECOG Glasses: A Pilot Study
October 2022
Target Speaker Detection with EEG/ECOG Glasses: A Pilot Study
Brain-Computer Interface Glasses for Empowering ALS and Neuro-Muscular Disease Patients
The Role of Feedback in Speech in Autism
P-POP for Space Exploration
2022
Assessing Attention, Stress and Cognitive Load in XR Using Brain Sensing
2022
Measuring Attention using Brain Sensing in XR Setup
2021
Internal and External Attention in AR (HoloLens 2) using Brain Computer Interfaces
April 8, 2021
Making use of XR: from Gaming at Home to ICUs at Hospitals to fight COVID-19
March 30, 2021
Making use of XR: From Gaming to Home to ICUs at Hospitals to Fight Covid-19

All Publications >

RESEARCH TOPICS


Attention, Focus, Cognitive Load and Fatigue

For the past three years, we have been working on AttentivU, a suite of wearable, wireless devices which feature built-in electrodes to measure brain activity (EEG) and eye movements (EOG). The devices are microphone free and camera free and they are designed to improve cognitive performance of the user and promote their wellbeing in real-time using biofeedback (on device or off device). We specifically focus on the effects of different types of feedback (auditory, visual, tactile), their placement on the user’s performance. We have investigated a set of different use cases, including automotive, learning, workplace scenarios.

Some Publications:

N. Kosmyna, P. Maes. 2019

N. Kosmyna, P. Maes. 2019

AttentivU: a Biofeedback Device to Monitor and Improve Engagement in the Workplace

N. Kosmyna, P. Maes. 2019

Aging, Mental and Physical Health Support

For the past three years, we have been working on AttentivU, a suite of wearable, wireless devices which feature built-in electrodes to measure brain activity (EEG) and eye movements (EOG) in real-time and to stream the data continuously. The devices are microphone free, camera free, comfortable enough to be worn over extended periods of time and they are designed to monitor and support the state of the users with ALS, CP, SCI as well as their caregivers. Currently, the system is being tested with users who have ALS, CP, ADHD and ASD. Please check the page dedicated to the project and check the scientific publications related to AttentivU here.

Some Publications:

N. Kosmyna, P. Maes. 2019

N. Kosmyna, P. Maes. 2019

AttentivU: a Biofeedback Device to Monitor and Improve Engagement in the Workplace

N. Kosmyna, P. Maes. 2019

VR, AR, and MR

In this project we proposed several prototypes which combine an existing AR headset, Microsoft’s Hololens 2 or VR headset Oculus Rift, with a Brain-Computer Interfaces (BCI) system based on our AttentivU project, and we perform several tasks to validate this concept. The first application is built around the idea of enhancing the creativity of the user, where a user imagines an object and the object appears in front of him on the screen of their Hololens 2. In the second application we investigated the feasibility of using a BCI based on covert visuospatial attention – a process of focusing attention on different regions of the visual field without overt eye movements. We operated without relying on any stimulus-driven responses. Please check the page dedicated to the project and check the scientific publication related to VR/AR/XR+BCIs here.

Some Publications:

Neurofeedback

Since 2016 we collaborate with INSEP, National Institute of Sport, Expertise, and Performance (Institut national du sport, de l’expertise et de la performance) which is a French teacher training institute and center for excellence in sports that trains elite athletes. In collaboration with researchers from INSEP, we work on neurofeedback application for the sportsmen. We work on creating different form-factors which could be applied in different scenarios and use cases. We also study the effects of different types of feedback (auditory/visual modalities of feedback) on performance of the sportsmen. While current state of the art presents a big body of works on meditation and mindfulness sessions provided to the sportsmen, few papers focus on biofeedback sessions during actual trainings. Also, several systems use electrical stimulation during sports training (cycling is often reported in these tests), but we believe that other modalities of the feedback might be as efficient and equally suitable and accepted by the sports community.

Some Publications:

AttentivU: An EEG-Based Closed-Loop Biofeedback System for Real-Time Monitoring and Improvement of Engagement for Personalized Learning

N. Kosmyna, P. Maes. 2019

Smart Home Control

We have been using two different smart home platforms, where all the IoT devices inside (lights, microwave, TV) can be turned on/off using brain signals (EEG). We ran our studies with both able-bodied but also users with health challenges like ALS, Parkinson or Cerebral Palsy. Please check the page dedicated to the project and check the scientific publications related to Smart Home Control here.

Some Publications:

RECENT UPDATES

April 2, 2020
AttentivU: A Wearable Pair of EEG and EOG Glasses for Real-Time Physiological Processing
February 13, 2020
Lessons Learned from Using Physiological Sensing in Learning Environments
November 27, 2019
AttentivU: An EEG-Based Closed-Loop Biofeedback System for Real-Time Monitoring and Improvement of Engagement for Personalized Learning

All Publications >

RESEARCH TOPICS

Attention, Focus, Cognitive Load and Fatigue

For the past three years, we have been working on AttentivU, a suite of wearable, wireless devices which feature built-in electrodes to measure brain activity (EEG) and eye movements (EOG). The devices are microphone free and camera free and they are designed to improve cognitive performance of the user and promote their wellbeing in real-time using biofeedback (on device or off device). We specifically focus on the effects of different types of feedback (auditory, visual, tactile), their placement on the user’s performance. We have investigated a set of different use cases, including automotive, learning, workplace scenarios.

Some Publications:

N. Kosmyna, P. Maes. 2019

N. Kosmyna, P. Maes. 2019

AttentivU: a Biofeedback Device to Monitor and Improve Engagement in the Workplace

N. Kosmyna, P. Maes. 2019

Aging, Mental and Physical Health Support

For the past three years, we have been working on AttentivU, a suite of wearable, wireless devices which feature built-in electrodes to measure brain activity (EEG) and eye movements (EOG) in real-time and to stream the data continuously. The devices are microphone free, camera free, comfortable enough to be worn over extended periods of time and they are designed to monitor and support the state of the users with ALS, CP, SCI as well as their caregivers. Currently, the system is being tested with users who have ALS, CP, ADHD and ASD. Please check the page dedicated to the project and check the scientific publications related to AttentivU here.

Some Publications:

N. Kosmyna, P. Maes. 2019

N. Kosmyna, P. Maes. 2019

AttentivU: a Biofeedback Device to Monitor and Improve Engagement in the Workplace

N. Kosmyna, P. Maes. 2019

VR, AR, and MR

In this project we proposed several prototypes which combine an existing AR headset, Microsoft’s Hololens 2 or VR headset Oculus Rift, with a Brain-Computer Interfaces (BCI) system based on our AttentivU project, and we perform several tasks to validate this concept. The first application is built around the idea of enhancing the creativity of the user, where a user imagines an object and the object appears in front of him on the screen of their Hololens 2. In the second application we investigated the feasibility of using a BCI based on covert visuospatial attention – a process of focusing attention on different regions of the visual field without overt eye movements. We operated without relying on any stimulus-driven responses. Please check the page dedicated to the project and check the scientific publication related to VR/AR/XR+BCIs here.

Some Publications:

Neurofeedback

Since 2016 we collaborate with INSEP, National Institute of Sport, Expertise, and Performance (Institut national du sport, de l’expertise et de la performance) which is a French teacher training institute and center for excellence in sports that trains elite athletes. In collaboration with researchers from INSEP, we work on neurofeedback application for the sportsmen. We work on creating different form-factors which could be applied in different scenarios and use cases. We also study the effects of different types of feedback (auditory/visual modalities of feedback) on performance of the sportsmen. While current state of the art presents a big body of works on meditation and mindfulness sessions provided to the sportsmen, few papers focus on biofeedback sessions during actual trainings. Also, several systems use electrical stimulation during sports training (cycling is often reported in these tests), but we believe that other modalities of the feedback might be as efficient and equally suitable and accepted by the sports community.

Some Publications:

AttentivU: An EEG-Based Closed-Loop Biofeedback System for Real-Time Monitoring and Improvement of Engagement for Personalized Learning

N. Kosmyna, P. Maes. 2019

Smart Home Control

We have been using two different smart home platforms, where all the IoT devices inside (lights, microwave, TV) can be turned on/off using brain signals (EEG). We ran our studies with both able-bodied but also users with health challenges like ALS, Parkinson or Cerebral Palsy. Please check the page dedicated to the project and check the scientific publications related to Smart Home Control here.

Some Publications: