Smartphone Dataset for Anomaly Detection in Crowds
Donated on 7/4/2021
This dataset was collected from the Smartphone sensors and can be used to analyse behaviour of a crowd, for example, an anomaly.
Dataset Characteristics
Time-Series
Subject Area
Computer Science
Associated Tasks
Classification
Feature Type
-
# Instances
14221
# Features
-
Dataset Information
For what purpose was the dataset created?
The key purpose of donating this dataset is to provide an opportunity to the research community to use it for further research purposes.
Who funded the creation of the dataset?
Muhammad Irfan, myself
What do the instances in this dataset represent?
One instance represents a movement patter for a group based activity.
Are there recommended data splits?
No.
Has Missing Values?
No
Introductory Paper
By M. Irfan, L. Marcenaro, and L. Tokarchuk, C. Regazzoni. 2018
Published in 5th IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS), Auckland, New Zealand,
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset smartphone_dataset_for_anomaly_detection_in_crowds = fetch_ucirepo(id=613) # data (as pandas dataframes) X = smartphone_dataset_for_anomaly_detection_in_crowds.data.features y = smartphone_dataset_for_anomaly_detection_in_crowds.data.targets # metadata print(smartphone_dataset_for_anomaly_detection_in_crowds.metadata) # variable information print(smartphone_dataset_for_anomaly_detection_in_crowds.variables)
Irfan,Muhammad. (2021). Smartphone Dataset for Anomaly Detection in Crowds. UCI Machine Learning Repository. https://doi.org/10.24432/C5Q90H.
@misc{misc_smartphone_dataset_for_anomaly_detection_in_crowds_613,
author = {Irfan,Muhammad},
title = {{Smartphone Dataset for Anomaly Detection in Crowds}},
year = {2021},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5Q90H}
}Creators
Muhammad Irfan
mirfan83@yahoo.com
Queen Mary University of London
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.