Weight Lifting Exercises monitored with Inertial Measurement Units
Donated on 11/23/2013
Six young health subjects were asked to perform 5 variations of the biceps curl weight lifting exercise. One of the variations is the one predicted by the health professional.
Dataset Characteristics
Multivariate
Subject Area
Health and Medicine
Associated Tasks
Classification
Feature Type
Real
# Instances
39242
# Features
-
Dataset Information
Additional Information
Velloso, E.; Bulling, A.; Gellersen, H.; Ugulino, W.; Fuks, H. Qualitative Activity Recognition of Weight Lifting Exercises. Proceedings of 4th International Conference in Cooperation with SIGCHI (Augmented Human '13) . Stuttgart, Germany: ACM SIGCHI, 2013. Read more: http://groupware.les.inf.puc-rio.br/har#ixzz2lZizjhaF
Has Missing Values?
Yes
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
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0 to 10 of 152
Additional Variable Information
Each IMU has x, y, and z values + euler angles (roll, pitch and yaw). For each time window (1s of data), there are several statistics calculations, like Kurtosis, Variance, etc.
Reviews
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset weight_lifting_exercises_monitored_with_inertial_measurement_units = fetch_ucirepo(id=273) # data (as pandas dataframes) X = weight_lifting_exercises_monitored_with_inertial_measurement_units.data.features y = weight_lifting_exercises_monitored_with_inertial_measurement_units.data.targets # metadata print(weight_lifting_exercises_monitored_with_inertial_measurement_units.metadata) # variable information print(weight_lifting_exercises_monitored_with_inertial_measurement_units.variables)
Velloso,Eduardo and Ugulino,Wallace. (2013). Weight Lifting Exercises monitored with Inertial Measurement Units. UCI Machine Learning Repository. https://doi.org/10.24432/C5WK63.
@misc{misc_weight_lifting_exercises_monitored_with_inertial_measurement_units_273,
author = {Velloso,Eduardo and Ugulino,Wallace},
title = {{Weight Lifting Exercises monitored with Inertial Measurement Units}},
year = {2013},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5WK63}
}Creators
Eduardo Velloso
Wallace Ugulino
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.