Tools

In the lab, we have developed several tools for general use.

Titta: Interface to Tobii eye trackers using Tobii Pro SDK

Matlab: https://github.com/dcnieho/Titta
Python: https://github.com/marcus-nystrom/Titta

Paper 1: Niehorster, D.C., Andersson, R. & Nyström, M. (2020). Titta: A toolbox for creating PsychToolbox and Psychopy experiments with Tobii eye trackers. Behavior Research Methods. doi: 10.3758/s13428-020-01358-8
Paper 2: Niehorster, D.C., Whitham, W., Lake, B.R., Schapiro, S.J., Andolina, I.M., & Yorzinski, J. L. (2024). Enhancing eye tracking for nonhuman primates and other subjects unable to follow instructions. Behavioral Research Methods. doi: 10.3758/s13428-024-02540-y
Paper 3: Niehorster, D.C. & Nyström, M. (2025). TittaLSL: A toolbox for creating networked eye-tracking experiments in Python and MATLAB with Tobii eye trackers. Behavior Research Methods. doi: 10.3758/s13428-025-02714-2

SMITE: Interface to SMI eye trackers

Matlab: https://github.com/dcnieho/SMITE
Python: https://github.com/marcus-nystrom/SMITE

Paper: Niehorster, D.C., & Nyström, M. (2019). SMITE: A toolbox for creating Psychtoolbox and Psychopy experiments with SMI eye trackers. Behavior Research Methods. doi: 10.3758/s13428-019-01226-0

I2MC: Noise-robust fixation classification for eye movement data

Matlab: https://github.com/royhessels/I2MC
Python: https://github.com/dcnieho/I2MC_Python

Paper: Hessels, R.S., Niehorster, D.C., Kemner, C., & Hooge, I.T.C. (2017). Noise-robust fixation detection in eye-movement data - Identification by 2-means clustering (I2MC). Behavior Research Methods, 49(5): 1802--1823. doi: 10.3758/s13428-016-0822-1

ETDQualitizer: Tool for determination of data quality (accuracy and precision) of screen-based eye tracker recordings

Matlab, Python and R: https://github.com/dcnieho/ETDQualitizer

Paper: Niehorster, D.C., Nyström, M., Hessels, R.S., Benjamins, J.S., Andersson, R., & Hooge, I.T.C. (2026). The fundamentals of eye tracking, Part 7: Determining data quality. Behavior Research Methods. doi: 10.3758/s13428-026-03039-4

GlassesValidator: Tool for automatic determination of data quality (accuracy and precision) of wearable eye tracker recordings

Python: https://github.com/dcnieho/glassesValidator

Paper: Niehorster, D.C., Hessels, R.S., Benjamins, J.S., Nyström, M., & Hooge, I.T.C. (2023). GlassesValidator: A data quality tool for eye tracking glasses. Behavior Research Methods. doi: 10.3758/s13428-023-02105-5

gazeMapper: A tool for automated world-based analysis of gaze data from one or multiple wearable eye trackers

Python: https://github.com/dcnieho/gazeMapper

Paper: Niehorster, D.C., Hessels, R.S., Nyström, M., Benjamins, J.S., & Hooge, I.T.C. (2025). gazeMapper: A tool for automated world-based analysis of gaze data from one or multiple wearable eye trackers. Behavior Research Methods. doi: 10.3758/s13428-025-02704-4

GlassesViewer: Parser, viewer and coding GUI for eye movement data from Tobii Glasses 2 and 3

Matlab: https://github.com/dcnieho/GlassesViewer

Paper: Niehorster, D.C., Hessels, R.S., & Benjamins, J.S. (2020). GlassesViewer: Open-source software for viewing and analyzing data from the Tobii Pro Glasses 2 eye tracker. Behavior Research Methods. doi: 10.3758/s13428-019-01314-1