diff --git "a/classification/UCR/Libras/Libras_TRAIN.ts" "b/classification/UCR/Libras/Libras_TRAIN.ts" new file mode 100644--- /dev/null +++ "b/classification/UCR/Libras/Libras_TRAIN.ts" @@ -0,0 +1,301 @@ +#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? coordinate abcissa +# 90. 45? 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 +@problemName Libras +@timeStamps false +@missing false +@univariate false +@dimensions 2 +@equalLength true +@seriesLength 45 +@classLabel true 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 +@data 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