Wearable Computing: Classification of Body Postures and Movements (PUC-Rio)
Donated on 4/8/2013
A dataset with 5 classes (sitting-down, standing-up, standing, walking, and sitting) collected on 8 hours of activities of 4 healthy subjects. We also established a baseline performance index.
Dataset Characteristics
Sequential
Subject Area
Computer Science
Associated Tasks
Classification
Feature Type
Integer, Real
# Instances
165632
# Features
-
Dataset Information
Additional Information
IMPORTANT: we have lower performance on 'leave-one-subject-out' tests. The performance baseline index we established is for 10-fold cross-validation tests. Therefore, there's much more space for optimization in subject independent tests. If you need more information, please send us an e-mail. Licensing: You are free to use this dataset for any purpose. This dataset is licensed under the Creative Commons license (CC BY-SA). The CC BY-SA license means you can remix, tweak, and build upon this work even for commercial purposes, as long as you credit the authors of the original work and you license your new creations under the identical terms we are licensing to you. This license is often compared to 'copyleft' free and open source software licenses. All new works based on this dataset will carry the same license, so any derivatives will also allow commercial use.
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 18
Additional Variable Information
Detailed information in: http://groupware.les.inf.puc-rio.br/work.jsf?p1=10335 user (text) gender (text) age (integer) how_tall_in_meters (real) weight (int) body_mass_index (real) x1 (type int, contains the read value of the axis 'x' of the 1st accelerometer, mounted on waist) y1 (type int, contains the read value of the axis 'y' of the 1st accelerometer, mounted on waist) z1 (type int, contains the read value of the axis 'z' of the 1st accelerometer, mounted on waist) x2 (type int, contains the read value of the axis 'x' of the 2nd accelerometer, mounted on the left thigh) y2 (type int, contains the read value of the axis 'y' of the 2nd accelerometer, mounted on the left thigh) z2 (type int, contains the read value of the axis 'z' of the 2nd accelerometer, mounted on the left thigh) x3 (type int, contains the read value of the axis 'x' of the 3rd accelerometer, mounted on the right ankle) y3 (type int, contains the read value of the axis 'y' of the 3rd accelerometer, mounted on the right ankle) z3 (type int, contains the read value of the axis 'z' of the 3rd accelerometer, mounted on the right ankle) x4 (type int, contains the read value of the axis 'x' of the 4th accelerometer, mounted on the right upper-arm) y4 (type int, contains the read value of the axis 'y' of the 4th accelerometer, mounted on the right upper-arm) z4 (type int, contains the read value of the axis 'z' of the 4th accelerometer, mounted on the right upper-arm)
Dataset Files
File | Size |
---|---|
example-data.dat | 4 KB |
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset wearable_computing_classification_of_body_postures_and_movements_puc_rio = fetch_ucirepo(id=250) # data (as pandas dataframes) X = wearable_computing_classification_of_body_postures_and_movements_puc_rio.data.features y = wearable_computing_classification_of_body_postures_and_movements_puc_rio.data.targets # metadata print(wearable_computing_classification_of_body_postures_and_movements_puc_rio.metadata) # variable information print(wearable_computing_classification_of_body_postures_and_movements_puc_rio.variables)
Ugulino, W., Cardador, D., Vega, K., Velloso, E., Milidiu, R., & Fuks, H. (2012). Wearable Computing: Classification of Body Postures and Movements (PUC-Rio) [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C54W37.
Creators
W. Ugulino
D. Cardador
K. Vega
E. Velloso
R. Milidiu
H. Fuks
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.