When the installation is complete, you will have an icon of the Gazespeaker program on your desktop. Click on it to run the Gazespeaker program: during the first run of the program, you will have to set the main settings language, name, input mode, system, theme,…. You can modify these settings and other additional settings in a later stage with the settings button on the startup page.
You can launch immediately the program: press the button start, or select the grid you would like to launch instead. The main grid has been configured for level 4 in order to present the various possibilities. New Features No longer requires the user to run the software with administrator privileges.
Fixes Fixed crash when resizing 3D view area to zero height. User's Manual updated to reflect new system requirements and changes in behavior. Alerts and Notices TrackIR 5 cameras with serial numbers or higher require software version 5.
In the online documentation you can navigate to any section of your interest. By default the software will start in demonstration mode unless you disable this feature. The setting will be applied the next time EyeTribe UI is started.
Once the system has been calibrated the EyeTribe UI allows you to redirect mouse cursor to the gaze position. A panel with a stop icon will appear as seen in the image below. You can disable the mouse gaze redirection either by looking at the stop icon for half a second. If tracking is poor you can cover the sensor with your hand and manually click on the stop icon. Mouse stabilization enables smoothing the gaze signal to reduce jitter, hence improving gaze control of a UI or the cursor. The Eye Tribe Tracker detects and tracks gaze coordinates allowing developers to create engaging new user experiences using eye control.
The Tracker operates in the device field of view with high precision and frame rate. The Tracker software is based upon an Open API design that allow client applications to communicate with the underlying Tracker Server to get gaze data. Many clients may be connected to the server simultaneously.
The relationship between client and server along with underlying dependencies is illustrated in Figure 1. Find full documentation of the communication protocol in the Tracker API section. Eye Tracking data is delivered over time in frames. The contents of each frame is summarized in the following and described in full detail in the Tracker API.
State of the eye and gaze tracking process. Indicates if a person is currently being tracking in the devices field of view as well as the associated level of detail. If the tracked gaze is current fixated, the frame will contain information hereof. See basics for an introduction to fixation. Gaze coordinates are the point on screen that the user is currently looking. Gaze coordinates are defined as pixels in a top-left oriented 2D coordinate system and are available in both raw and smoothed forms.
Note that gaze coordinates are only available in a calibrated setup Calibration. See Figure for visual illustration. Pupil coordinates are the position of a tracked persons pupil relative to the Tracker sensor. Pupil coordinates are defined in normalized relative values in a top-left oriented 2D coordinate system.
Through the tracker API , clients are able to tweak the settings of the Tracker Server, perform the calibration process, switch screens in a multi screen setup and more. The Tracker API documentation explains all interfacing option in detail. A running Tracker Server with no connected clients will be in a dormant state and will not broadcast frames.
The Tracker Server will be implicitly running as long as there are clients connected and these clients are sending stay-alive messages, aka. To disconnect, a client may explicitly close its socket connection or simply stop sending heartbeats.
The getting frame data tutorial explains the process of sending heartbeats in detail. This section describes the advanced features of the EyeTribe Server, e. The EyeTribe Server can be configured manually to some degree by specifying command line arguments when starting the server. The EyeTribe server can also be configured using a configuration file, see below for details. Running the server without any arguments will initialize the system using default values.
These values have been chosen to be well suited for most users. Specifying wrong or unsupported parameters will cause the server to fail and inform about the problem. The server will also provide a list of supported parameters.
Using --help or -? The default port can be modified to cater for special user-defined behavior and environment, for instance when port is already utilized for another service. Value must be in the range from to An error will be reported during initialization of the server was not able to bind to the port e.
Only true and false are accepted values. The EyeTribe server only supports operating one tracking device at a time. Up to 8 supported devices can be present in the system, and any one of these can be utilized by the tracker. Setting the device number manually is constrained to a number between 0 and 7.
The EyeTribe Server will report an error upon initialization if the device is either not supported or not present. The EyeTribe Server supports two frame rate modes: 30 and 60 frames per second fps. The default frame rate is 30 fps. Running in 30 fps will allow for a larger tracking box, whereas the 60 fps mode in nature will be faster but allow for smaller head movements.
Only 30 and 60 are valid values. If other values are specified an error will be reported upon initialization of the EyeTribe Server. Update: from firmware version and forward a 40 frames per second mode has been added. The configuration file contains a JSON formatted structure.
The config section describes the parameters that can be modified by the user. The same command line parameters supported by the server can be provided in the config file;.
For backwards compatibility reasons the EyeTribe server will try to read a default config file when it starts up without any provided arguments. On Windows OS the default config file is placed in. If the config file exists the server will apply the settings from it, otherwise the server will initialize itself with the default values. The EyeTribe server can also be launched and instructed to load a specific configuration file.
In this case only one argument must be provided as command line argument. The config. It can be provided using either a relative or an absolute path. It is possible to have a system with multiple concurrent EyeTribe Servers, each operating on a dedicated Tracker and on a dedicated monitor. An instance of the EyeTribe Server must be spawned per Tracker device.
Utilizing individual config files per server instance will be a practicable way of setting up such a system. The client must also remember to specify the active monitor screen to each EyeTribe Server instance, if different monitors are to be distributed between the different trackers.
The user must avoid having several trackers active simultaneously due to interfering infrared illumination. A way to control this is to disconnect the client from the EyeTribe Server e. For a full source code example see Tutorials section. My client implementation disconnects a few seconds after connecting to the Tracker Server. What is wrong? Not doing so will disconnect the client. A connection must be established between a client implementation and the Tracker Server before messages can be exchanged using the Tracker API.
Establishing such a connection involves opening a TCP Socket in your programming language of choice and connecting to localhost on port The Tracker API protocol is explained in the following.
Conceptually, the category , request and values can be thought of as class. From this, the the general JSON structure for the client request message is defined as:. The SDK Tracker reply message serves a dual purpose; firstly, for each request sent by the client, the tracker will provide the result of a request with reply message.
Secondly, it serves as message publishing container for continuously published data, i. On error, the reply will hold suited statuscode and values object may contain:. All requests related to the Tracker Server are specified with the category tracker. This includes initial configuration requests to the tracker, once a client has connected to it, which consists of specifying desired frame rate, whether to push or pull and protocol version.
Below is the meaning of each state item value dependent on whether it is get or set. Client needs to know if the server is running and the system is calibrated.
This is done by submitting the following request:. Note that a user calibration must be performed before any on-screen gaze coordinates are transmitted. If a request fails the server reply with a status code and a message providing further information. Request fails as push is misspelled and provided version value is provided as string:. When client connection to the SDK tracker has been established, the client will start receiving gaze data.
The frame data is specified as:. The state of the SDK Tracker is embedded in the "frame" object as the "state" value. The value is a masked integer and can hold several states at the same time.
The state is extracted according to below table:. If tracker value "push" has been set to false, the client is expected to pull frame data. This is done by issuing the tracker-category request get with a value of frame :. To calibrate the tracker a client perform a calibration process. The API requests involved in a calibration process are encapsulated in the calibration category and are described below.
The minimum number of calibration points allowed is 7, but it is recommended to use 9 or more. For the final successful endpoint request the tracker will send back the calibration result. The data format of the calibresult is described further below. At any point during the calibration an abort request may be sent to cancel an ongoing sequence. If the tracker have had a previous working calibration it will be reinstated.
When the calibration process is completed, the last pointend request returns a calibresult object. This object is defined as:. The calibpoints array contains a complete list of the results from each calibration point. So no EyeTribe pro will be shipped? Well this is awful news. TheEyeTribe sent out an email this morning, explaining that they will stop developing eye trackers.
I hope we'll get an alternative soon. News about wrapping up of TheEyeTribe are shocking. Do not worry. So, what do we do now? So where do we turn for cheap alternatives? This makes it completely useless for a whole lot of purposes, including scientific publications. Tobii is said to be working on an additional license, for which researchers will probably have to pay dearly. So Tobii is off the table. That's even crazier, what disappointing business tactics pic.
In addition, I think big players in tech might hesitate to invest time and money in hardware that might soon be obsolete.
Although experts used to be quite sceptical about eye tracking with ordinary webcams, there have been promising developments in the area MIT used the very contemporary approach of throwing neural networks at the problem. Companies like xlabs are already claiming that they can harness this upcoming technology in a meaningful way.
Does this mean we can use webcam tracking in research? Well, not quite. Regular old researchers will likely be cheaper of investing some money in an eye tracker, than investing their time and thus money! I think you are doing a fanstastic contribution. I just want to say that I am also sad that EyeTribe closed down! Is it supported by pygaze? I just installed pygaze and copied the tobii module from the SDK that I downloaded from the website.
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