EyeTech VT3 Mini

Name: EyeTech VT3 Mini
Brand: EyeTech
SKU: HW-SCR-EYE-048
Price: 5500 USD
Availability: LimitedAvailability

Limited Availability

OVERVIEW OF THE VT3 MINI EYETRACKER

The VT3 mini’s compact form factor is powered by our AEye 1.0 eye-tracking-on-a-chip technology, featuring a large head motion box and hardware-based time stamped data that ensures data integrity and accuracy. The FPGA chip inside delivers unmatched performance running in 42, 60, 120 and 200 Hz mode.

The EyeTech VT3 Mini is compatible with the iMotions Screen-based Eye Tracking Module.

The combination with the module allows researchers and developers to collect and analyze valuable metrics, such as gaze position, dwell times, blink rates, pupil size, and much more. With our API, partners can then stream the eye data for their own application.

Specifications

Sample rate	40/60/120/200Hz
Accuracy	0.5°
Recovery time	N/A
Mount type	On screen
Screen size	Up to 22″
Operating distance	50 – 70 cm
Provides pupil size	Yes
Head movement	31.5 x 22.5 cm (60 Hz), 20 x 5 cm (120 Hz), 9 x 4 cm (200 Hz)
Connection type	Mini USB
Power supply	USB
Dimensions	25.4 x 2.6 x 3.2 cm
Weight	0.21 kg
Certification	CE and FCC

Publications with iMotions and EyeTech

2024 International Journal of Advertising Open Access Peer-Reviewed

How to accurately measure attention to video advertising

University of South Australia + 1 more

Attention has been proposed as a replacement for ratings to better measure advertising exposure quality. Attention measurement suppliers, who are key stakeholders in this proposed shift, have primarily used eye tracking to assess how people pay attention to ads. However, other literature-supported physiological measures may be beneficial or superior for measuring attention to advertising (e.g. […]
- Eye Tracking
- GSR
2019 3rd International Conference on Human Computer Interaction Theory and Applications Open Access Peer-Reviewed

Explicit and Implicit Measures in Video Quality Assessment

University of Perugia + 1 more

Abstract: This work investigates the relation between subjective Video Quality Assessment (VQA) metrics and psychophysiological measures of human interaction assessment such as gaze tracking, electroencephalography and facial expression recognition. Subjective quality assessment is based on deliberate judgement attributions of perceived quality and processes that human perceivers are not consciously aware of. Traditional VQA methods ask […]