Pupil Invisible - iMotions

Name: Pupil Invisible
Brand: Pupil Labs
SKU: HW-EYE-GLS-029
Price: 5650 USD
Availability: Discontinued

What’s in the box

Pupil Invisible glasses

OnePlus 8 Android smartphone. Power adaptor for charging. Note: EU plug type. (Invisible Companion app is not pre-installed)

Traveling case for secure storage and transport of glasses and smartphones.

USB-C to USB-C cable

Shaded lenses and clear lenses

Microfiber lens cleaning cloth

FAQ

Here you can find some frequently asked questions about the Pupil Invisible glasses. If you have questions you cannot find here, or elsewhere on our website, please contact us here.

Why should I buy and use Pupil Invisible?

How long can Pupil invisible record?

Specifications

Gaze Data
Format	Normalized 2d gaze positions.
Frequency	200Hz after upload to Pupil Cloud. 66Hz on Companion Device.
None
Eye Cameras	200Hz @ 192x192px IR illumination
Scene Camera	Detachable scene camera. 30Hz @ 1088 x 1080px 82°x82° FOV. Square aspect ratio covers full field of view.
Audio	Microphone included in scene camera.
IMU	Gyroscope and Accelerometer @200Hz.
Recording	Gaze data, videos, user input data.
Real-Time Streaming	Gaze data at 66Hz and world video.
Frame Material	PA12 Nylon
Lenses	CR-39 Anti-Scratch UV Filter Anti-Reflective Dust and water repelling coating
Weight	46.9 g
Lens Kit	Get the accessory prescription lens kit. Ships with -3 to +3 diopter lenses in 0.5 steps.
Custom Lenses	If you need custom lenses, you can take Pupil Invisible glasses to your optometrist to get custom lenses just like normal glasses frames. The frame can accomodate up to -8/+8 diopter.
Functionality	Provides power, storage, network streaming, and neural network computation for gaze estimation.
Software	Pupil Invisible Companion App – download for free on PlayStore.
Recording Duration	150 minutes recording time. 8 hours of recording storage.
Compatible Devices	Ships with OnePlus 8. Also compatible with OnePlus 6.
Functionality	Upload recordings to pupil cloud (opt-in).

Gaze Data

Format

Normalized 2d gaze positions.

Frequency

200Hz after upload to Pupil Cloud. 66Hz on Companion Device.

Calibration

None

Sensors

Eye Cameras

200Hz @ 192x192px IR illumination

Scene Camera

Detachable scene camera. 30Hz @ 1088 x 1080px 82°x82° FOV. Square aspect ratio covers full field of view.

Audio

Microphone included in scene camera.

IMU

Gyroscope and Accelerometer @200Hz.

Recording

Gaze data, videos, user input data.

Real-Time Streaming

Gaze data at 66Hz and world video.

Physical Properties

Frame Material

PA12 Nylon

Lenses

CR-39 Anti-Scratch UV Filter Anti-Reflective Dust and water repelling coating

Weight

46.9 g

Prescription Lenses

Lens Kit

Get the accessory prescription lens kit. Ships with -3 to +3 diopter lenses in 0.5 steps.

Custom Lenses

If you need custom lenses, you can take Pupil Invisible glasses to your optometrist to get custom lenses just like normal glasses frames. The frame can accomodate up to -8/+8 diopter.

Mobile Recording Unit

Functionality

Provides power, storage, network streaming, and neural network computation for gaze estimation.

Software

Pupil Invisible Companion App – download for free on PlayStore.

Recording Duration

150 minutes recording time. 8 hours of recording storage.

Compatible Devices

Ships with OnePlus 8. Also compatible with OnePlus 6.

Cloud

Functionality

Upload recordings to pupil cloud (opt-in).

Publications with iMotions and Pupil Labs

2025 BMJ Journal Open Access Peer-Reviewed

Developing an AI-driven multimodal approach to visualising resilient team performance: joint attentional engagement with gaze and speech in simulated emergency scenarios

Yokohama City University Medical Center + 1 more

Introduction Healthcare team performance directly impacts the quality and safety of medical care. However, measuring the performance of teams is challenging and requires methodologies to investigate different contributing elements. This study proposes an AI(artificial intelligence)-driven multimodal approach to visualising gaze (ie, joint visual attention) and speech in medical team performance and examines how these might differ […]

2025 Language and Education Gated Peer-Reviewed

A teacher’s distribution of attention and interaction opportunities in early childhood education: a mixed-methods single case study

Ghent University

iMotions Education Smart classroom solution for immersive learning using web-based eye tracking and facial expression analysis. See features now Given the importance of one-on-one interactions between teachers and children for preschoolers’ language development, understanding teachers’ distribution of attention during interactions is essential. This mixed-methods single case study investigates how one teacher distributes her attention and […]

2024 Open Access Peer-Reviewed

Moveable Älıpbi: Design of Montessori-Based Child-Robot Interaction for Long-Term Alphabet Learning

Nazarbayev University

iMotions Education Smart classroom solution for immersive learning using web-based eye tracking and facial expression analysis. See features now Kazakhstan has adopted an alphabet reform and is planning to fully transition the Kazakh alphabet from Cyrillic to Latin script by 2031. This places young learners at a significant disadvantage, creating unwanted challenges to early and […]

2024 Preprints.org Open Access

The Psychophysiological Interrelationship between Working Conditions and Stress of Harvester and Forwarder Drivers – a Study Protocol

Paracelsus Medical University + 2 more

Ergonomics Research iMotions' Ergonomics Research Lab integrates advanced biosensors and data analysis tools to assess physical, cognitive, and environmental factors, enhancing workspace design and human performance. See features now (1) Background: The proportion of fully mechanized harvesting systems in Austria is constantly increasing especially because of the technological development of the machines, which allows them […]

2024 Attention, Perception, & Psychophysics Open Access Peer-Reviewed

Fixation-related potentials during mobile map assisted navigation in the real world: The effect of landmark visualization style

University of Zurich– Irchel + 1 more

Ergonomics Research iMotions' Ergonomics Research Lab integrates advanced biosensors and data analysis tools to assess physical, cognitive, and environmental factors, enhancing workspace design and human performance. See features now An often-proposed enhancement for mobile maps to aid assisted navigation is the presentation of landmark information, yet understanding of the manner in which they should be […]

2023 73rd Annual International Communications Association Conference Open Access Peer-Reviewed

Multimodal biometric data collection of interpersonal communication

iMotions

Ergonomics Research iMotions' Ergonomics Research Lab integrates advanced biosensors and data analysis tools to assess physical, cognitive, and environmental factors, enhancing workspace design and human performance. See features now Communication between individuals involves multiple factors: attending to the other person’s thoughts, interpreting their non-verbal behavior, and (un)intentionally mirroring their expression- and attention patterns. Moreover, we […]

2022 AMPS Proceedings Series 30: Cultures, Communities, and Design Open Access Peer-Reviewed

Neuro-Participatory Urbanism: Sensing Sentiments and Tracking Perceptions With Machine Learning.

Singapore University of Technology and Design

Ergonomics Research iMotions' Ergonomics Research Lab integrates advanced biosensors and data analysis tools to assess physical, cognitive, and environmental factors, enhancing workspace design and human performance. See features now Public places are enablers for diverse and desirable encounters within the city, as evident in the growing efforts by governments in their national policy-making and by […]

Eye Tracking Glasses

2022 Computer Vision and Pattern Recognition Open Access Peer-Reviewed

Pistol: Pupil Invisible Supportive Tool to extract Pupil, Iris, Eye Opening, Eye Movements, Pupil and Iris Gaze Vector, and 2D as well as 3D Gaze

University Tübingen

This paper describes a feature extraction and gaze estimation software, named Pistol that can be used with Pupil Invisible projects and other eye trackers in the future. In offline mode, our software extracts multiple features from the eye including, the pupil and iris ellipse, eye aperture, pupil vector, iris vector, eye movement types from pupil […]

Automatize Your Statistical Analysis With The Eye Tracking Module For iMotions

Hardware AgnosticConnection to eye tracking glasses such as Pupil Lab Glasses (Core and Invisible), Argus Science ETVision, Viewpointsystem VPS 19 and ASL…