Howdy, Stranger!

It looks like you're new here. If you want to get involved, click one of these buttons!

Supported by

[open] EyeTribe and PyGaze

DLCDLC
edited September 2015 in PyGaze

I've been trying to get an EyeTribe tracker working with PyGaze. I'm hoping someone can help me troubleshoot a problem with logging the tracker fixation output.

The setup is the WinPython-PyGaze-0.5.1 self-contained installation downloaded from the PyGaze website.

To test the setup, I have taken the scripts experiment.py and constants.py and folders img and data from Edwin Dalmaijer's EyeTribe test (https://github.com/esdalmaijer/EyeTribe_test/tree/master/experiment) and put them in folder inside the "examples" folder of the pygaze module in WinPython-PyGaze-0.5.1. My thought here is not to replicate the experiment but to use it to make sure the setup is working.

If I comment out the saccade portion of experiment.py, the script runs through fine, but doesn't log the eyetracker fixation data. It produces log output like this as shown in Example A below. For some reason, when the eyetracker calibration finishes, the time stops updating and data that should be written as a result of the call tracker.start_recording() doesn't get written.

However, if I comment out tracker.calibrate() and use the EyeTribe tool to calibrate before running the script, the log contains fixation data as in Example B.

It seems that pygaze may be having trouble accessing the tracker after running tracker.calibrate(). Can anyone help me figure out what I need to do to get the script to run?

David

Example A:
MSG 2015-09-01 17:04:04.670 179916862   pygaze initiation report start
MSG 2015-09-01 17:04:04.703 179916895   display resolution: 1920x1200
MSG 2015-09-01 17:04:04.703 179916895   display size in cm: 33.8x27.1
MSG 2015-09-01 17:04:04.703 179916895   samplerate: 30.00 Hz
MSG 2015-09-01 17:04:04.703 179916895   sampletime: 33.33 ms
MSG 2015-09-01 17:04:04.736 179916928   fixation threshold: 1.5 degrees
MSG 2015-09-01 17:04:04.736 179916928   speed threshold: 35 degrees/second
MSG 2015-09-01 17:04:04.736 179916928   acceleration threshold: 9500 degrees/second**2
MSG 2015-09-01 17:04:04.736 179916928   pygaze initiation report end
MSG 2015-09-01 17:04:22.323 179934515   pygaze calibration report start
MSG 2015-09-01 17:04:22.323 179934515   accuracy (degrees): LX=1.4627, LY=1.4627, RX=1.1249, RY=1.1249
MSG 2015-09-01 17:04:22.323 179934515   accuracy (in pixels): LX=73.5629817411, LY=73.5629817411, RX=56.5691202483, RY=56.5691202483
MSG 2015-09-01 17:04:22.323 179934515   precision (RMS noise in pixels): X=37.8039333333, Y=37.8039333333
MSG 2015-09-01 17:04:22.323 179934515   distance between participant and display: 57.0 cm
MSG 2015-09-01 17:04:22.323 179934515   fixation threshold: 75.4397423777 pixels
MSG 2015-09-01 17:04:22.323 179934515   speed threshold: 1.75985870146 pixels/ms
MSG 2015-09-01 17:04:22.323 179934515   acceleration threshold: 482.10192964 pixels/ms**2
MSG 2015-09-01 17:04:22.323 179934515   pygaze calibration report end
MSG 2015-09-01 17:04:22.323 179934515   start_recording
MSG 2015-09-01 17:04:22.323 179934515   VALIDATION_TRIALSTART, trialnr=0, x=288, y=180
MSG 2015-09-01 17:04:22.323 179934515   validation_point_on
MSG 2015-09-01 17:04:22.323 179934515   validation_point_fix
MSG 2015-09-01 17:04:22.323 179934515   validation_point_off
MSG 2015-09-01 17:04:22.323 179934515   stop_recording
MSG 2015-09-01 17:04:22.323 179934515   start_recording
MSG 2015-09-01 17:04:22.323 179934515   VALIDATION_TRIALSTART, trialnr=1, x=288, y=600
MSG 2015-09-01 17:04:22.323 179934515   validation_point_on
MSG 2015-09-01 17:04:22.323 179934515   validation_point_fix
MSG 2015-09-01 17:04:22.323 179934515   validation_point_off
MSG 2015-09-01 17:04:22.323 179934515   stop_recording

....

Example B:
MSG 2015-09-01 17:10:53.828 180326020   pygaze initiation report start
MSG 2015-09-01 17:10:53.828 180326020   display resolution: 1920x1200
MSG 2015-09-01 17:10:53.828 180326020   display size in cm: 33.8x27.1
MSG 2015-09-01 17:10:53.828 180326020   samplerate: 30.00 Hz
MSG 2015-09-01 17:10:53.828 180326020   sampletime: 33.33 ms
MSG 2015-09-01 17:10:53.828 180326020   fixation threshold: 1.5 degrees
MSG 2015-09-01 17:10:53.828 180326020   speed threshold: 35 degrees/second
MSG 2015-09-01 17:10:53.828 180326020   acceleration threshold: 9500 degrees/second**2
MSG 2015-09-01 17:10:53.862 180326054   pygaze initiation report end
MSG 2015-09-01 17:10:56.093 180328285   start_recording
2015-09-01 17:10:56.126 180328318   False   7   948.5359    603.1096    937.7371    613.9985    16.81485    925.7729    588.4476    929.5175    607.5111    17.3684 0.4012  0.5197  971.299 617.7715    945.9568    620.4858    16.2613 0.5842  0.5295
MSG 2015-09-01 17:10:56.126 180328318   VALIDATION_TRIALSTART, trialnr=0, x=288, y=180
MSG 2015-09-01 17:10:56.126 180328318   validation_point_on
2015-09-01 17:10:56.160 180328352   False   7   944.6416    598.6471    938.2916    613.1371    16.4524 936.7584    585.3172    929.8983    606.1401    17.303  0.4009  0.5197  952.5247    611.9771    946.6848    620.134 15.6018 0.5838  0.5294
2015-09-01 17:10:56.226 180328418   False   7   950.556 623.5518    939.8221    613.5804    16.84195    956.9889    610.9008    933.0311    606.1137    17.6574 0.4006  0.5197  944.1232    636.2028    946.6134    621.0471    16.0265 0.5835  0.5297
2015-09-01 17:10:56.260 180328452   False   7   938.0348    608.8777    939.7335    613.4658    16.3343 943.3262    590.8431    933.799 605.1857    16.966  0.4004  0.5194  932.7433    626.9122    945.6679    621.7457    15.7026 0.5831  0.5295
2015-09-01 17:10:56.293 180328485   False   7   962.1305    603.2253    940.8586    613.2537    16.5727 958.2985    591.9441    935.0056    604.734 17.5973 0.4 0.5192  965.9624    614.5065    946.7117    621.7733    15.5481 0.583   0.5291
2015-09-01 17:10:56.326 180328518   False   7   955.0674    619.9399    941.3539    613.564 16.76485    956.3131    596.7495    936.2361    604.3339    17.4347 0.3999  0.519   953.8217    643.1303    946.4717    622.7939    16.095  0.5828  0.5291
2015-09-01 17:10:56.360 180328552   False   7   937.7423    628.5649    941.5235    614.5604    16.6571 943.736 598.166 937.2473    603.887 17.4866 0.3996  0.5191  931.7487    658.9639    945.7996    625.2341    15.8276 0.5825  0.5291
2015-09-01 17:10:56.393 180328585   False   7   973.4203    606.4723    943.7604    614.2894    16.734  968.6191    573.5208    939.552 602.0162    17.2284 0.3998  0.519   978.2216    639.4238    947.9688    626.5626    16.2396 0.5828  0.529
2015-09-01 17:10:56.426 180328618   False   7   963.1259    645.4539    945.2289    616.4199    16.83925    915.1216    630.5118    938.8088    603.6957    17.6972 0.3997  0.5194  1011.1302   660.3959    951.6493    629.144 15.9813 0.583   0.5292
2015-09-01 17:10:56.493 180328685   False   7   937.4998    582.7087    944.8535    613.4875    16.16435    938.7055    570.8434    938.9278    600.6705    16.9996 0.4003  0.5192  936.2941    594.5742    950.7792    626.3046    15.3291 0.5831  0.5292
2015-09-01 17:10:56.526 180328718   False   7   970.5735    611.8318    946.773 613.3495    16.93935    973.4581    609.6381    941.3558    600.9468    17.1432 0.4008  0.5195  967.689 614.0254    952.1899    625.7524    16.7355 0.5835  0.5294
2015-09-01 17:10:56.559 180328751   False   7   970.6635    606.948 948.4608    612.7483    16.77055    967.933 589.3924    943.0216    599.8597    17.4099 0.4009  0.5194  973.394 624.5037    953.8999    625.637 16.1312 0.5838  0.5295
2015-09-01 17:10:56.593 180328785   False   7   999.5775    266.8542    999.5775    266.8542    17.00135    957.7495    607.2889    944.6583    599.7921    17.7154 0.4011  0.5196  1041.4056   -73.5804    1041.4056   -73.5804    16.2873 0.5837  0.5295
2015-09-01 17:10:56.626 180328818   False   7   953.09  621.512 953.09  621.512 17.0303 967.9977    618.4736    946.6398    600.5434    17.5898 0.4015  0.5197  938.1821    624.5504    938.1821    624.5504    16.4708 0.5841  0.5296

.....

Comments

  • edited 10:49PM

    Hi David,

    Thanks for trying to figure this one out yourself before turning to the forum, I appreciate the information to debug your issue with!

    For starters, the saccade bit you commented out doesn't work due to the lack of data coming in. The repeating time stamps are due to the simple heuristic PyTribe uses for time-stamping messages, which is to use the time of the last known sample. Without any samples coming in, the last known timestamp is from the calibration.

    Despite the logs, I can't quite figure out what's going wrong. I agree it seems to have to do with the calibration. Did you notice anything weird while doing it? Did it cut out before finishing all points?

    Could I ask you to post the content of an EyeTribe log from two experimental sessions: one with and one without a call to calibrate? You can find logs in the following folder:

    C:\Users\USERNAME\AppData\Local\EyeTribe\Logs

    Where USERNAME is your actual user name.

    Best,

    Edwin

  • DLCDLC
    edited 10:49PM

    Thanks Edwin!

    Here are the EyeTribe logs for a run with and without eyetracker.calibrate() in experiment.py.

    With: https://drive.google.com/open?id=0B_tWlE-q6acAcWRNVW92ZTRKNkU
    Without: https://drive.google.com/open?id=0B_tWlE-q6acAcWRNVW92ZTRKNkU

    The datafiles corresponding to those runs are:

    With: https://drive.google.com/open?id=0B_tWlE-q6acAUTA5QUphX3czWkU
    Without: https://drive.google.com/open?id=0B_tWlE-q6acAWkNzRldlRTFpT2M

    I also have a MATLAB installation with PTB, so I ran the Example_PTB.m script from the EyeTribe for MATLAB software. Here the calibration works and the data file seems correct. If possible I'd like to use python though since it seems more flexible than PTB.

    EyeTribe Log: https://drive.google.com/open?id=0B_tWlE-q6acARHY4T2E2cmk3M3M
    Data: https://drive.google.com/open?id=0B_tWlE-q6acAUXhObkQzMzhKOXM

    When I run calibration using python, there is a JSON error in the EyeTribe log. I hope it is meaningful!

  • DLCDLC
    edited 10:49PM

    I made a little progress, perhaps, by seeing whether the python program would run properly if I replace the version of pytribe.py in the WinPython-PyGaze-0.5.1 installation with the one in EyeTribe for MATLAB.

    The JSON error in the EyeTribe log is still there, but data is now written to the pygaze log.

    Data: https://drive.google.com/file/d/0B_tWlE-q6acAMjNTV3lZck5uNlU/view?usp=sharing
    Log: https://drive.google.com/file/d/0B_tWlE-q6acAQXctaGNCYTZreGM/view?usp=sharing

  • edited September 2015

    Just a quick answer, to let you know I haven't forgotten about this. I'm currently away, and have no EyeTribe handy, so I can't actually test anything.

    I have a feeling the issue might arise from a mismatch between versions of the EyeTribe Server and PyTribe. Specifically, the error messages indicate the calibration point command is not understood by the EyeTribe Server. This is odd, because that code works on the versions I have used and those that I have seen others using.

    Three options remain: 1) You've downloaded the newest EyeTribe Server version and functionality broke there, 2) You're working with an older version of the EyeTribe Server, or 3) Something else entirely. From your log I can see you're using v0.9.56, but I can't access my PC to check whether this is newer or later. Sorry!

    Will check back in a week or two, when I return to my lab.

  • DLCDLC
    edited 10:49PM

    Thanks Edwin. 0.9.56 is the latest version of the server. I might try finding an older version and checking to see if it works.

  • edited 10:49PM

    My test version was 0.9.41, so there might be something there. Will report back after more elaborate testing.

  • DLCDLC
    edited 10:49PM

    Thanks Edwin. Appreciate the help.

  • edited February 2016

    Hi guys,

    It might not be fully relevant to this topic but I am curious about the benchmarks provided at the beginning of the file.
    For example,
    fixation threshold: 1.5 degrees
    speed threshold: 35 degrees/second
    acceleration threshold: 9500 degrees/second**2

    These thresholds seem important in fixation and saccade detection but it appears that the PyGaze in OpenSesame only gives you the raw data. So should I just ignore this information? In fact for the last project I imported the data into OGAMA 5.0 and used its algorithms to do post-experiment fixation detection...

    Another question is, where I can find the explanations of the headers (e.g., rawx, rawy, avgx, etc.) of the data file?

    @Edwin @DLC @sebastiaan Thanks guys!

    Han

  • edited February 2016

    Hi Han,

    The thresholds are only used in PyGaze's online event detection functions, i.e. wait_for_*. They do not affect the calibration or the data collection.

    The headers are simply the values that the EyeTribe produces. See their website (www.theeyetribe.com) for more info. Feel free to ask about whatever you can't find :)

    Cheers,

    Edwin

    PS. On the original topic: I've lost track of tech and software projects a bit, for various reasons, but hope to get back to them soon. Sorry about the delay.

Sign In or Register to comment.

agen judi bola , sportbook, casino, togel, number game, singapore, tangkas, basket, slot, poker, dominoqq, agen bola. Semua permainan bisa dimainkan hanya dengan 1 ID. minimal deposit 50.000 ,- bonus cashback hingga 10% , diskon togel hingga 66% bisa bermain di android dan IOS kapanpun dan dimana pun. poker , bandarq , aduq, domino qq , dominobet. Semua permainan bisa dimainkan hanya dengan 1 ID. minimal deposit 10.000 ,- bonus turnover 0.5% dan bonus referral 20%. Bonus - bonus yang dihadirkan bisa terbilang cukup tinggi dan memuaskan, anda hanya perlu memasang pada situs yang memberikan bursa pasaran terbaik yaitu http://45.77.173.118/ Bola168. Situs penyedia segala jenis permainan poker online kini semakin banyak ditemukan di Internet, salah satunya TahunQQ merupakan situs Agen Judi Domino66 Dan BandarQ Terpercaya yang mampu memberikan banyak provit bagi bettornya. Permainan Yang Di Sediakan Dewi365 Juga sangat banyak Dan menarik dan Peluang untuk memenangkan Taruhan Judi online ini juga sangat mudah . Mainkan Segera Taruhan Sportbook anda bersama Agen Judi Bola Bersama Dewi365 Kemenangan Anda Berapa pun akan Terbayarkan. Tersedia 9 macam permainan seru yang bisa kamu mainkan hanya di dalam 1 ID saja. Permainan seru yang tersedia seperti Poker, Domino QQ Dan juga BandarQ Online. Semuanya tersedia lengkap hanya di ABGQQ. Situs ABGQQ sangat mudah dimenangkan, kamu juga akan mendapatkan mega bonus dan setiap pemain berhak mendapatkan cashback mingguan. ABGQQ juga telah diakui sebagai Bandar Domino Online yang menjamin sistem FAIR PLAY disetiap permainan yang bisa dimainkan dengan deposit minimal hanya Rp.25.000. DEWI365 adalah Bandar Judi Bola Terpercaya & resmi dan terpercaya di indonesia. Situs judi bola ini menyediakan fasilitas bagi anda untuk dapat bermain memainkan permainan judi bola. Didalam situs ini memiliki berbagai permainan taruhan bola terlengkap seperti Sbobet, yang membuat DEWI365 menjadi situs judi bola terbaik dan terpercaya di Indonesia. Tentunya sebagai situs yang bertugas sebagai Bandar Poker Online pastinya akan berusaha untuk menjaga semua informasi dan keamanan yang terdapat di POKERQQ13. Kotakqq adalah situs Judi Poker Online Terpercayayang menyediakan 9 jenis permainan sakong online, dominoqq, domino99, bandarq, bandar ceme, aduq, poker online, bandar poker, balak66, perang baccarat, dan capsa susun. Dengan minimal deposit withdraw 15.000 Anda sudah bisa memainkan semua permaina pkv games di situs kami. Jackpot besar,Win rate tinggi, Fair play, PKV Games