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 Name | Role | Type | Description | Units | Missing Values |
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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.
Dataset Files
File | Size |
---|---|
a3_va3.csv | 656.4 KB |
a1_va3.csv | 624.5 KB |
c3_va3.csv | 517.6 KB |
b3_va3.csv | 508.8 KB |
a2_va3.csv | 451.3 KB |
0 to 5 of 15
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset gesture_phase_segmentation = fetch_ucirepo(id=302) # data (as pandas dataframes) X = gesture_phase_segmentation.data.features y = gesture_phase_segmentation.data.targets # metadata print(gesture_phase_segmentation.metadata) # variable information print(gesture_phase_segmentation.variables)
Madeo, R., Wagner, P., & Peres, S. (2013). Gesture Phase Segmentation [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5Z32C.
Creators
Renata Madeo
Priscilla Wagner
Sarajane Peres
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.