**Data / Statistics / Videos** --------------------------------------------------- **Manuscript:** *Generating accurate 3D gaze vectors using synchronized eye tracking and motion capture* in *Behavior Research Methods* **Author:** Scott Stone **Email:** sastone@ualberta.ca **Twitter:** [@scottallanstone][1] **Website:** [scottstone.ca][2] ---------- **Data** The Data folder contains three additional folders: 1. Calibration 2. Task 3. Validation Each of these folders has a similar layout, containing a `process<Folder>.m` file which can be run in MATLAB. It will generate all of the `*.csv` files currently seen in the folder. The files are commentated and should be enought to guide you through getting data to the processed state in the manuscript. The most raw form of data is available in either the `120Hz*.mat` or `200Hz*.mat` files (or you can use the `xlsx` files if that's your fancy). ---------- **Statistics** If you only care about running statistics (the scripts in the data folder will get you to this step either way), the `jasp` files are available in the Statistics folders in the root. You will need JASP to run open and process the files. They will already have the rmANOVAs pre-run, but you can play with the data if you like. If you are interested in the Cramer correction used in the manuscript, `Cramer_Corrected_rmANOVAs.xlsx` is included. The process is very straight forward, take a look at the formulas used. ---------- **Videos** Relevant videos are uploaded into three folders: 1. *Assessments:* Demonstration of how the models were assessed, showing the distance between the gaze vector and the target location. 2. *Calibration Routines:* Each calibration is shown in full - showing the traces of the wand. Please note the videos are sped up 2X. Gaze vector is shown for convenience. 3. *GaMA:* Video output of our in-house software, the *Gaze and Movement Assessment* tool. Both with and without rigid bodies is demonstrated. [1]: https://twitter.com/scottallanstone [2]: https://scottstone.ca