Grammatical Facial Expressions

Donated on 10/5/2014

This dataset supports the development of models that make possible to interpret Grammatical Facial Expressions from Brazilian Sign Language (Libras).

Dataset Characteristics

Multivariate, Sequential

Subject Area

Computer Science

Associated Tasks

Classification, Clustering

Feature Type

Real

# Instances

27965

# Features

-

Dataset Information

Additional Information

The automated analysis of facial expressions has been widely used in different research areas, such as biometrics or emotional analysis. Special importance is attached to facial expressions in the area of sign language, since they help to form the grammatical structure of the language and allow for the creation of language disambiguation, and thus are called Grammatical Facial Expressions. This dataset was already used in the experiments described in Freitas et al. (2014). The dataset is composed by eighteen videos recorded using Microsoft Kinect sensor. In each video, a user performs (five times), in front of the sensor, five sentences in Libras (Brazilian Sign Language) that require the use of a grammatical facial expression. By using Microsoft Kinect, we have obtained: (a) a image of each frame, identified by a timestamp; (b) a text file containing one hundred coordinates (x, y, z) of points from eyes, nose, eyebrows, face contour and iris; each line in the file corresponds to points extracted from one frame. The images enabled a manual labeling of each file by a specialist, providing a ground truth for classification. The dataset is organized in 36 files: 18 datapoint files and 18 target files, one pair for each video which compose the dataset.The name of the file refers to each video: the letter corresponding to the user (A and B), name of grammatical facial expression and a specification (target or datapoints).

Has Missing Values?

No

Variables Table

Variable NameRoleTypeDemographicDescriptionUnitsMissing Values
no
no
no
no
no
no
no
no
no
no

0 to 10 of 100

Additional Variable Information

Datapoints files: Coordinates x and y are given in pixels. Coordinates z are given in millimetres. Label of frame 0 - 7 (x,y,z) - left eye 8 - 15 (x,y,z) - right eye 16 - 25 (x,y,z) - left eyebrow 26 - 35 (x,y,z) - right eyebrow 36 - 47 (x,y,z) - nose 48 - 67 (x,y,z) - mouth 68 - 86 (x,y,z) - face contour 87 (x,y,z) - left iris 88 (x,y,z) - right iris 89 (x,y,z) - nose tip 90 - 94 (x,y,z) - line above left eyebrow 95 - 99 (x,y,z) - line above right eyebrow

Reviews

There are no reviews for this dataset yet.

Login to Write a Review
Download
0 citations
4381 views

Creators

Fernando Freitas

Felipe Barbosa

Sarajane Peres

License

By using the UCI Machine Learning Repository, you acknowledge and accept the cookies and privacy practices used by the UCI Machine Learning Repository.

Read Policy