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
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,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.