Commit Inicial

data/tanveer/libras/movement_libras.names

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+1. Title: LIBRAS Movement Database
+
+2. Sources:
+
+     (a) Creators: 
+		Daniel Baptista Dias (Dias, D.B.)
+            Sarajane Marques Peres (Peres, S. M.)
+		Helton Hideraldo B<>scaro (B<>scaro. H. H.)
+        {danielbdias,heltonhb, sarajane} at usp.br
+
+     (b) Donor: 
+		University of S<>o Paulo
+		School of Art, Sciences and Humanities
+		S<>o Paulo, SP, Brazil
+		http://each.uspnet.usp.br/each/
+			
+     (c) Date: November, 2008
+
+
+3. Past Usage:
+
+   1. DIAS, D. B.; MADEO, R. C. B.; ROCHA, T.; B<>SCARO, H. H.; PERES, S. M.. Hand Movement Recognition for 
+	  Brazilian Sign Language: A Study Using Distance-Based Neural Networks. In: 2009 International Joint 
+	  Conference on Neural Networks, 2009, Atlanta, GA. Proceedings of 2009 International Joint Conference 
+	  on Neural Networks. Eau Claire, WI, USA : Documation LLC, 2009. p. 697-704. 
+	  Digital Object Identifier 10.1109/IJCNN.2009.5178917 
+
+
+4. Relevant Information:
+
+   --- LIBRAS, acronym of the Portuguese name "L<>ngua BRAsileira de Sinais", is the oficial brazilian sign language.
+
+   --- The dataset (movement_libras) contains 15 classes of 24 instances each, where each class references to a hand 
+       movement type in LIBRAS. The hand movement is represented as a bidimensional curve performed by the hand in a 
+       period of time. The curves were obtained from videos of hand movements, with the Libras performance from 4 
+       different people, during 2 sessions. Each video corresponds to only one hand movement and has about $7$ seconds. 
+
+   --- Each video corresponds to a function F in a functions space which is the continual version of the input dataset.
+
+   --- In the video pre-processing, a time normalization is carried out selecting 45 frames from each video, in according 
+       to an uniform distribution. In each frame, the centroid pixels of the segmented objects (the hand) are found, which 
+       compose the discrete version of the curve F with 45 points. All curves are normalized in the unitary space.
+
+   --- In order to prepare these movements to be analysed by algorithms, we have carried out a mapping operation, that is, 
+       each curve F is mapped in a representation with 90 features, with representing the coordinates of movement. 
+
+   --- Each instance represents 45 points on a bi-dimensional space, which can be plotted in an ordered way (from 1 through
+       45 as the X co-ordinate) in order to draw the path of the movement.
+
+5. Number of Instances: 360 (24 in each of fifteen classes)
+
+6. Number of Attributes: 90 numeric (double) and 1 for the class (integer)
+
+7. Attribute Information:
+   1. 1<> coordinate abcissa
+   2. 1<> coordinate ordinate
+   3. 2<> coordinate abcissa
+   4. 2<> coordinate ordinate
+   ...
+   89. 45<34> coordinate abcissa
+   90. 45<34> coordinate ordinate
+   91. class: 
+		-- 1: curved swing
+		-- 2: horizontal swing
+		-- 3: vertical swing
+		-- 4: anti-clockwise arc
+		-- 5: clockwise arc
+		-- 6: circle
+		-- 7: horizontal straight-line
+		-- 8: vertical straight-line
+		-- 9: horizontal zigzag
+		-- 10: vertical zigzag
+		-- 11: horizontal wavy
+		-- 12: vertical wavy
+		-- 13: face-up curve
+		-- 14: face-down curve 
+		-- 15: tremble
+
+8. Missing Attribute Values: None
+
+9. Class Distribution: 6.66% for each of 15 classes.
+
+10. Extra Information
+
+(a)
+	Applying a simple k-nearest neighbors algorithm (with Euclidean distance), it has been obtained the values below:
+
+--- (%) perc of instance which have been correctly placed in a same group 
+--- using the complete dataset: 24 instances per class, 15 classes
+
+				    |	mean of correct | standard deviate | max of correct / class | min of correct / class
+				    |	grouping (%)    |			     | grouping (%)		| grouping (%)
+-------------------------------------------------------------------------------------------------------------------
+      24-nearest neighbors  |	0.3918	    | 0.1267	     | 0.5556	/	5	| 0.2587	/	10
+-------------------------------------------------------------------------------------------------------------------
+neighbors in a ratio = 1.0  |	0.2245  	    |	0.0979	     | 0.3957	/	9	| 0.1181	/	 1
+-------------------------------------------------------------------------------------------------------------------
+neighbors in a ratio = 2.0  |	0.3514	    |	0.1210	     | 0.4514	/	9	| 0.2500	/	10
+-------------------------------------------------------------------------------------------------------------------
+neighbors in a ratio = 3.0  |	0.3848	    |	0.1266	     | 0.5347	/	5	| 0.2587	/	10
+-------------------------------------------------------------------------------------------------------------------
+
+
+(b) 
+	In order to support the comparisons with the experiments of the paper cited in 3(3.1) (Past Usage),
+we supply you the sub-datasets:
+
+	1. movement_libras_1.data
+	2. movement_libras_5.data
+	3. movement_libras_8.data
+	4. movement_libras_9.data
+	5. movement_libras_10.data