gazetools 2014.0.2

Gazetools Reference Class

Description

The Gazetools reference class is the main entry point for gaze classification and analysis.

Fields

data
an object of class "data.table" that holds gaze-related timeseries information.

samplerate
the rate at which the gaze data were sampled.

rx
the horizontal resolution of the screen (pixels)

ry
the vertical resolution of the screen (pixels)

sw
the physical screen width (mm)

sh
the physical screen height (mm)

Methods

initialize(..., import = NULL)
Initialize object with raw gaze data. Takes same arguments as pva.

Examples

data(smi)
g <- with(smi, gazetools(smi_sxl,smi_syl, 500,
                         1680, 1050, 473.76, 296.1,
                         smi_ezl, smi_exl, smi_eyl,
                         blinks=(smi_dyl==0|smi_dyr==0),
                         timestamp=smi_time))
g



Reference class object of class "gazetools"
Field "data":
       time  timestamp    x   y      ez     ex     ey blinks       vx
   1: 0.000 1068466338  814 528 711.848 42.687 40.523  FALSE 24.87131
   2: 0.002 1068466340  807 527 711.805 42.684 40.521  FALSE 22.39873
   3: 0.004 1068466342  811 527 711.618 42.644 40.521  FALSE 19.92616
   4: 0.006 1068466344  820 526 711.634 42.600 40.539  FALSE 17.45358
   5: 0.008 1068466346  817 524 711.645 42.596 40.539  FALSE 14.98100
  ---                                                                
3433: 6.864 1068473258 1279 884 699.559 44.578 40.291  FALSE 13.09796
3434: 6.866 1068473260 1278 887 699.542 44.577 40.290  FALSE 13.62483
3435: 6.868 1068473262 1278 886 699.626 44.562 40.267  FALSE 14.15169
3436: 6.870 1068473264 1278 883 699.609 44.581 40.294  FALSE 14.67856
3437: 6.872 1068473266 1279 881 699.592 44.580 40.293  FALSE 15.20543
              vy        v        a noise        sx       sy
   1: -3.5719230 25.12650 1346.160 FALSE  810.2522 526.5043
   2: -2.5065834 22.53855 1346.160 FALSE  812.2901 526.1553
   3: -1.4412439 19.97821 1346.160 FALSE  814.0980 525.9005
   4: -0.3759043 17.45762 1346.160 FALSE  815.6759 525.7397
   5:  0.6894353 14.99686 1346.160 FALSE  817.0237 525.6731
  ---                                                      
3433:  2.1218048 13.26871  293.232 FALSE 1277.2295 884.0051
3434:  1.8642203 13.75177  293.232 FALSE 1278.6454 884.2851
3435:  1.6066357 14.24260  293.232 FALSE 1280.1219 884.5487
3436:  1.3490512 14.74043  293.232 FALSE 1281.6589 884.7957
3437:  1.0914667 15.24455  293.232 FALSE 1283.2565 885.0261
Field "samplerate":
[1] 500
Field "rx":
[1] 1680
Field "ry":
[1] 1050
Field "sw":
[1] 473.76
Field "sh":
[1] 296.1
Field "window":
[1] 23
Field "timestamp":
numeric(0)
Field "minsac":
[1] 0.02
Field "classifier":
list()




g <- with(highspeed, gazetools(x,y,1250,1024,768,.38,.30,.67,
                               blinks=(x==0|y==0)))
g



Reference class object of class "gazetools"
Field "data":
          time timestamp      x      y   ez ex ey blinks         vx         vy
    1:  0.0000        -1 325.82 166.54 0.67  0  0  FALSE -6.4908246 -12.255447
    2:  0.0008        -1 325.48 166.56 0.67  0  0  FALSE -6.1163817 -11.908952
    3:  0.0016        -1 325.45 166.24 0.67  0  0  FALSE -5.7419387 -11.562458
    4:  0.0024        -1 325.16 165.72 0.67  0  0  FALSE -5.3674957 -11.215963
    5:  0.0032        -1 324.63 165.90 0.67  0  0  FALSE -4.9930528 -10.869468
   ---                                                                        
94945: 75.9552        -1 265.41 108.89 0.67  0  0  FALSE -0.1894770   3.455755
94946: 75.9560        -1 266.90 109.53 0.67  0  0  FALSE -0.2740067   3.477440
94947: 75.9568        -1 266.56 109.80 0.67  0  0  FALSE -0.3585363   3.499124
94948: 75.9576        -1 266.67 109.12 0.67  0  0  FALSE -0.4430659   3.520809
94949: 75.9584        -1 265.83 109.06 0.67  0  0  FALSE -0.5275956   3.542494
               v        a noise       sx       sy
    1: 13.868193 637.7035 FALSE 324.9245 166.9629
    2: 13.387803 637.7035 FALSE 324.7600 166.6576
    3: 12.909697 637.7035 FALSE 324.6052 166.3610
    4: 12.434140 637.7035 FALSE 324.4603 166.0731
    5: 11.961435 637.7035 FALSE 324.3251 165.7941
   ---                                           
94945:  3.460946 109.0834 FALSE 265.7028 108.8617
94946:  3.488218 109.0834 FALSE 265.6967 108.9501
94947:  3.517445 109.0834 FALSE 265.6884 109.0390
94948:  3.548578 109.0834 FALSE 265.6778 109.1284
94949:  3.581567 109.0834 FALSE 265.6651 109.2185
Field "samplerate":
[1] 1250
Field "rx":
[1] 1024
Field "ry":
[1] 768
Field "sw":
[1] 0.38
Field "sh":
[1] 0.3
Field "window":
[1] 53
Field "timestamp":
numeric(0)
Field "minsac":
[1] 0.02
Field "classifier":
list()