Intelligent Media Accelerometer and Gyroscope (IM-AccGyro) Dataset
Donated on 9/2/2020
The IM-AccGyro dataset is devised to benchmark techniques dealing with human activity recognition based on inertial sensors.
Dataset Characteristics
Time-Series
Subject Area
Health and Medicine
Associated Tasks
Classification
Feature Type
Real
# Instances
800
# Features
9
Dataset Information
Additional Information
We have introduced a Accelerometer and Gyroscope (IM-AccGyro) dataset using GY-521 sensors attached to the subject's arm, leg, and neck region to capture important aspects of human motion. The dataset represents motion data captured while subjects are involved in performing 6 human activity behaviors: boxing, clapping, running, sitting, standing, and walking. The ages of the participants range from 15 to 30 years with having weight ranging between 30-100 kgs. Due to multi-sensor environment and inter-behavioral similarity, the dataset itself poses adequate amount of challenges.
Has Missing Values?
No
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset intelligent_media_accelerometer_and_gyroscope_im_accgyro_dataset = fetch_ucirepo(id=578) # data (as pandas dataframes) X = intelligent_media_accelerometer_and_gyroscope_im_accgyro_dataset.data.features y = intelligent_media_accelerometer_and_gyroscope_im_accgyro_dataset.data.targets # metadata print(intelligent_media_accelerometer_and_gyroscope_im_accgyro_dataset.metadata) # variable information print(intelligent_media_accelerometer_and_gyroscope_im_accgyro_dataset.variables)
Intelligent Media Accelerometer and Gyroscope (IM-AccGyro) Dataset. (2020). UCI Machine Learning Repository. https://doi.org/10.24432/C5V613.
@misc{misc_intelligent_media_accelerometer_and_gyroscope_(im-accgyro)_dataset_578,
title = {{Intelligent Media Accelerometer and Gyroscope (IM-AccGyro) Dataset}},
year = {2020},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5V613}
}DOI
Notes
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.