accelerometer_gyro_mobile_phone_dataset
Donated on 11/25/2022
data collected on 2022, in King Saud University in riyadh for recognizing human activities using mobile phone IMU sensors (Accelerometer, and Gyroscope). these activity is calssified to standing(stop), or walking.
Dataset Characteristics
Tabular, Sequential, Multivariate, Time-Series
Subject Area
Computer Science
Associated Tasks
Classification
Attribute Type
Real, Categorical
# Instances
31991
# Attributes
8
Features
| Attribute Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| accX | Feature | Numerical - Continuous | false | ||
| accY | Feature | Numerical - Continuous | false | ||
| accZ | Feature | Numerical - Continuous | false | ||
| gyroX | Feature | Numerical - Continuous | false | ||
| gyroY | Feature | Numerical - Continuous | false | ||
| gyroZ | Feature | Numerical - Continuous | false | ||
| timestamp | Feature | Categorical | false | ||
| Activity | Feature | Numerical - Discrete | false |
1 to 10 of 8
Introduction Paper
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Citation
AlSahly,Abdullah. (2022). accelerometer_gyro_mobile_phone_dataset. UCI Machine Learning Repository. https://doi.org/10.3390/s22176513.
BibTeX
@misc{misc_accelerometer_gyro_mobile_phone_dataset_755,
author = {AlSahly,Abdullah},
title = {{accelerometer_gyro_mobile_phone_dataset}},
year = {2022},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: \url{10.3390/s22176513}}
}Keywords
accelerometergyroscopeIMUmobile phone sensorsMLDL
Creators
Abdullah AlSahly
getsmarter01@gmail.com
KSU
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.