Gesture Phase Segmentation

Donated on 6/17/2014

The dataset is composed by features extracted from 7 videos with people gesticulating, aiming at studying Gesture Phase Segmentation. It contains 50 attributes divided into two files for each video.

Dataset Characteristics

Multivariate, Sequential, Time-Series

Subject Area

Other

Associated Tasks

Classification, Clustering

Feature Type

Real

# Instances

9900

# Features

-

Dataset Information

Additional Information

The dataset is composed by features extracted from 7 videos with people gesticulating, aiming at studying Gesture Phase Segmentation. Each video is represented by two files: a raw file, which contains the position of hands, wrists, head and spine of the user in each frame; and a processed file, which contains velocity and acceleration of hands and wrists. See the data set description for more information on the dataset.

Has Missing Values?

No

Variables Table

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

0 to 10 of 50

Additional Variable Information

Raw files: 18 numeric attributes (double), a timestamp and a class attribute (nominal). Processed files: 32 numeric attributes (double) and a class attribute (nominal). A feature vector with up to 50 numeric attributes can be generated with the two files mentioned above.

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Creators

Renata Madeo

Priscilla Wagner

Sarajane Peres

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