IMG_1070.jpg

OUR HISTORY


2024 - ongoing

AttentivU: EEG+EOG+fNIRS glasses

AttentivU: EEG+EOG+fNIRS glasses

The goal of this project was to develop and evaluate a BCI platform that integrates both electrical and metabolic sensing in a wearable glasses form-factor: EEG, EOG and fNIRS sensing modalities

Learn more about this project >

2024 - ongoing

AttentivU + Apple Vision Pro

AttentivU + Apple Vision Pro

Enhancing Apple Vision Pro headset with brain sensing capabilities via non-invasive brain sensing (Electroencephalography - EEG) electrodes.

Learn more about this project >

2023 - ongoing

AttentivU + Monocle

AttentivU + Monocle

In this project, we propose a wearable, wireless pair of glasses with a monocle-like heads-up display by including information about the current attentional state of the wearer by adapting their environment accordingly.

Learn more about this project >

2022 - ongoing

Ddog

Ddog

The Ddog project features a Spot robot from Boston Dynamics and a Brain-Computer Interface (BCI) system powered by AttentivU, a pair of wireless glasses that can measure person’s Electroencephalography (EEG – brain activity) and Electrooculography (EOG – eye movements) signals.

Learn more about this project >

2021 - ongoing

AttentivU-P-POP

AttentivU-P-POP

A set of just-in-time interventions to maintain and restore psychological well-being and operational effectiveness of the crew.

Learn more about this project >

2020 - ongoing

aroundhead v1

AttentivU Around-Head/In-Ear Headset

Description of the project.

Learn more about this project >

2020 - ongoing

Headphones v1

AttentivU Headphones

Description of the project.

Learn more about this project >

2020 - ongoing

glasses v2

AttentivU Glasses Version 2

AttentivU Glasses V2 is an updated version of our previous pair of glasses, AttentivU. It senses brain activity with EEG as well as eye movements with EOG to measure different cognitive processes in real time. The new version of the glasses is lighter, has a new PCB, a longer battery life, and WiFi.

Learn more about this project >

2019 - 2020

hololens

AttentivU Hololens AR Attachment

AttentivU Hololens2 Attachment is a prototype which combines an existing AR headset, Microsoft's Hololens 2, with a Brain-Computer Interfaces (BCI) system based on our AttentivU project. We performed the following tasks to validate this concept: the visual imagination of an object, covert visuospatial attention, and internal vs external attention of the user.

Learn more about this project >

2018 - 2019

glasses-v1

AttentivU Glasses Version 1

The AttentivU Glasses are a pair of wireless smart glasses which sense brain activity with EEG as well as eye movements with EOG to measure different cognitive processes in real time, such as cognitive load, fatigue, engagement, and focus.

Learn more about this project >

2018 - 2019

headset

AttentivU Headband and Scarf

A wearable system consisting of two main components. The first component is represented by an EEG headband used to measure the engagement of a person in real-time, and the second is a scarf that provides subtle, haptic feedback when changes in engagement are detected.

Learn more about this project >

Our History

OUR HISTORY


2024 - ongoing

AttentivU + Monocle

AttentivU: EEG+EOG+fNIRS glasses

The goal of this project was to develop and evaluate a BCI platform that integrates both electrical and metabolic sensing in a wearable glasses form-factor: EEG, EOG and fNIRS sensing modalities

Learn more about this project >

2024 - ongoing

AttentivU + Apple Vision Pro

AttentivU + Apple Vision Pro

Enhancing Apple Vision Pro headset with brain sensing capabilities via non-invasive brain sensing (Electroencephalography - EEG) electrodes.

Learn more about this project >

2023 - ongoing

AttentivU + Monocle

AttentivU + Monocle

In this project, we propose a wearable, wireless pair of glasses with a monocle-like heads-up display by including information about the current attentional state of the wearer by adapting their environment accordingly.

Learn more about this project >

2022 - ongoing

Ddog

Ddog

The Ddog project features a Spot robot from Boston Dynamics and a Brain-Computer Interface (BCI) system powered by AttentivU, a pair of wireless glasses that can measure person’s Electroencephalography (EEG – brain activity) and Electrooculography (EOG – eye movements) signals.

Learn more about this project >

2021 - ongoing

AttentivU-P-POP

AttentivU-P-POP

A set of just-in-time interventions to maintain and restore psychological well-being and operational effectiveness of the crew.

Learn more about this project >

2020 - ongoing

glasses v2

AttentivU Glasses Version 2

AttentivU Glasses V2 is an updated version of our previous pair of glasses, AttentivU. It senses brain activity with EEG as well as eye movements with EOG to measure different cognitive processes in real time. The new version of the glasses is lighter, has a new PCB, a longer battery life, and WiFi.

Learn more about this project >

2019 - 2020

hololens

AttentivU Hololens AR Attachment

AttentivU Hololens2 Attachment is a prototype which combines an existing AR headset, Microsoft's Hololens 2, with a Brain-Computer Interfaces (BCI) system based on our AttentivU project. We performed the following tasks to validate this concept: the visual imagination of an object, covert visuospatial attention, and internal vs external attention of the user.

Learn more about this project >

2018 - 2019

glasses-v1

AttentivU Glasses Version 1

The AttentivU Glasses are a pair of wireless smart glasses which senses brain activity with EEG as well as eye movements with EOG to measure different cognitive processes in real time, such as cognitive load, fatigue, engagement, and focus.

Learn more about this project >

2018 - 2019

headset

AttentivU Headband and Scarf

A wearable system consisting of two main components. The first component is represented by an EEG headband used to measure the engagement of a person in real-time, and the second is a scarf that provides subtle, haptic feedback when changes in engagement are detected.

Learn more about this project >