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 |
|---|---|---|---|---|---|
| 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.
Reviews
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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,Renata, Wagner,Priscilla, and Peres,Sarajane. (2014). Gesture Phase Segmentation. UCI Machine Learning Repository. https://doi.org/10.24432/C5Z32C.
@misc{misc_gesture_phase_segmentation_302,
author = {Madeo,Renata, Wagner,Priscilla, and Peres,Sarajane},
title = {{Gesture Phase Segmentation}},
year = {2014},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: 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.