This section describes main characteristics of the movement_libras data set and its attributes:
General information
Libras Movement data set |
Type | Classification | Origin | Real world |
Features | 90 | (Real / Integer / Nominal) | (90 / 0 / 0) |
Instances | 360 |
Classes | 15 |
Missing values? | No |
Attribute description
Attribute | Domain | Attribute | Domain | Attribute | Domain |
1st_coordinate_abcissa | [0.090909,0.9323] | 16st_coordinate_abcissa | [0.023211,0.91103] | 31st_coordinate_abcissa | [0.088975,0.89749] |
1st_coordinate_ordinate | [0.14815,0.88657] | 16st_coordinate_ordinate | [0.0625,0.84028] | 31st_coordinate_ordinate | [0.10185,0.85417] |
2st_coordinate_abcissa | [0.085106,0.93037] | 17st_coordinate_abcissa | [0.052224,0.88781] | 32st_coordinate_abcissa | [0.094778,0.90522] |
2st_coordinate_ordinate | [0.14815,0.88889] | 17st_coordinate_ordinate | [0.12269,0.84028] | 32st_coordinate_ordinate | [0.041667,0.83565] |
3st_coordinate_abcissa | [0.085106,0.9323] | 18st_coordinate_abcissa | [0.10832,0.88781] | 33st_coordinate_abcissa | [0.092843,0.91876] |
3st_coordinate_ordinate | [0.14815,0.88426] | 18st_coordinate_ordinate | [0.14815,0.84028] | 33st_coordinate_ordinate | [0.0,0.82407] |
4st_coordinate_abcissa | [0.088975,0.9323] | 19st_coordinate_abcissa | [0.13926,0.88781] | 34st_coordinate_abcissa | [0.10058,0.90716] |
4st_coordinate_ordinate | [0.14583,0.88194] | 19st_coordinate_ordinate | [0.14583,0.84028] | 34st_coordinate_ordinate | [0.0,0.82639] |
5st_coordinate_abcissa | [0.092843,0.9323] | 20st_coordinate_abcissa | [0.16054,0.88588] | 35st_coordinate_abcissa | [0.071567,0.90716] |
5st_coordinate_ordinate | [0.14583,0.875] | 20st_coordinate_ordinate | [0.12963,0.84028] | 35st_coordinate_ordinate | [0.030093,0.83333] |
6st_coordinate_abcissa | [0.10058,0.9323] | 21st_coordinate_abcissa | [0.147,0.88008] | 36st_coordinate_abcissa | [0.065764,0.91683] |
6st_coordinate_ordinate | [0.14352,0.875] | 21st_coordinate_ordinate | [0.13194,0.84028] | 36st_coordinate_ordinate | [0.085648,0.83565] |
7st_coordinate_abcissa | [0.10445,0.93424] | 22st_coordinate_abcissa | [0.11219,0.88008] | 37st_coordinate_abcissa | [0.017408,0.9207] |
7st_coordinate_ordinate | [0.14352,0.87037] | 22st_coordinate_ordinate | [0.15046,0.84028] | 37st_coordinate_ordinate | [0.11111,0.87963] |
8st_coordinate_abcissa | [0.11025,0.94197] | 23st_coordinate_abcissa | [0.088975,0.88008] | 38st_coordinate_abcissa | [0.0,0.92456] |
8st_coordinate_ordinate | [0.1412,0.86343] | 23st_coordinate_ordinate | [0.14815,0.83796] | 38st_coordinate_ordinate | [0.099537,0.9838] |
9st_coordinate_abcissa | [0.11992,0.94391] | 24st_coordinate_abcissa | [0.083172,0.88008] | 39st_coordinate_abcissa | [0.0058027,0.92843] |
9st_coordinate_ordinate | [0.1412,0.86343] | 24st_coordinate_ordinate | [0.14352,0.87037] | 39st_coordinate_ordinate | [0.094907,0.96991] |
10st_coordinate_abcissa | [0.12766,0.94391] | 25st_coordinate_abcissa | [0.071567,0.88588] | 40st_coordinate_abcissa | [0.025145,0.94391] |
10st_coordinate_ordinate | [0.13657,0.86111] | 25st_coordinate_ordinate | [0.13889,0.95833] | 40st_coordinate_ordinate | [0.085648,0.84722] |
11st_coordinate_abcissa | [0.13153,0.94197] | 26st_coordinate_abcissa | [0.052224,0.89362] | 41st_coordinate_abcissa | [0.059961,0.96132] |
11st_coordinate_ordinate | [0.13657,0.84722] | 26st_coordinate_ordinate | [0.13657,0.9838] | 41st_coordinate_ordinate | [0.076389,0.83102] |
12st_coordinate_abcissa | [0.10638,0.94197] | 27st_coordinate_abcissa | [0.046422,0.89555] | 42st_coordinate_abcissa | [0.059961,0.97099] |
12st_coordinate_ordinate | [0.13426,0.84028] | 27st_coordinate_ordinate | [0.13426,0.85185] | 42st_coordinate_ordinate | [0.050926,0.81944] |
13st_coordinate_abcissa | [0.040619,0.9381] | 28st_coordinate_abcissa | [0.040619,0.88975] | 43st_coordinate_abcissa | [0.029014,0.97872] |
13st_coordinate_ordinate | [0.092593,1.0] | 28st_coordinate_ordinate | [0.13194,0.86806] | 43st_coordinate_ordinate | [0.030093,0.82407] |
14st_coordinate_abcissa | [0.015474,0.9265] | 29st_coordinate_abcissa | [0.048356,0.89749] | 44st_coordinate_abcissa | [0.011605,0.98839] |
14st_coordinate_ordinate | [0.018519,0.84028] | 29st_coordinate_ordinate | [0.12731,0.87037] | 44st_coordinate_ordinate | [0.0092593,0.87269] |
15st_coordinate_abcissa | [0.017408,0.91489] | 30st_coordinate_abcissa | [0.067698,0.88975] | 45st_coordinate_abcissa | [0.0058027,1.0] |
15st_coordinate_ordinate | [0.018519,0.84028] | 30st_coordinate_ordinate | [0.11111,0.86111] | 45st_coordinate_ordinate | [0.0069444,0.88426] |
Class | {1,2,3,4,5,6,7,8,9,10,11,12,13,14,15} |
Additional information
The data set contains 15 classes of 24 instances each. Each class references to a hand movement type in LIBRAS (Portuguese name \'Lingua BRAsileira de Sinais\', oficial brazilian signal language).
In this section you can download some files related to the movement_libras data set:
- The complete data set already formatted in KEEL format can be downloaded from
here.
- A copy of the data set already partitioned by means of a 10-folds cross validation procedure can be downloaded from here.
- A copy of the data set already partitioned by means of a 5-folds cross validation procedure can be downloaded from here.
- The header file associated to this data set can be downloaded from here.
- This is not a native data set from the KEEL project. It has been obtained from the UCI Machine Learning repository. The original page where the data set can be found is: http://archive.ics.uci.edu/ml/datasets/Libras+Movement.
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