WISDM Smartphone and Smartwatch Activity and Biometrics Dataset
Donated on 10/5/2019
Contains accelerometer and gyroscope time-series sensor data collected from a smartphone and smartwatch as 51 test subjects perform 18 activities for 3 minutes each.
Dataset Characteristics
Multivariate, Time-Series
Subject Area
Computer Science
Associated Tasks
Classification
Feature Type
Real
# Instances
15630426
# Features
6
Dataset Information
Additional Information
For a detailed description of the dataset, please see the following pdf file that is stored with the data: WISDM-dataset-description.pdf. The raw accelerometer and gyroscope sensor data is collected from the smartphone and smartwatch at a rate of 20Hz. It is collected from 51 test subjects as they perform 18 activities for 3 minutes apiece. The sensor data for each device (phone, watch) and type of sensor (accelerometer, gyroscope) is stored in a different directory (so there are 4 data directories). In each directory there are 51 files corresponding to the 51 test subjects. The format of every entry is the same: <subject-id, activity-code, timestamp, x, y, z>. The descriptions of these attributes are provided with the attribute information. In addition to the raw time-series sensor data we also generate examples that describe the sensor data using a 10-second window. See the dataset description document for details. Although this data can most naturally be used for activity recognition, it can also be used to build behavioral biometric models since each sensor reading is associated with a specific subject.
Has Missing Values?
No
Variable Information
subject-id: value from 1600- 1650 that identifies one of the 51 test subjects activity-code: character between 'A' and 'S' (no 'N') that identifies the activity. The mapping from code to activity is provided in the activity_key.txt file and in our dataset description document. timestamp: Unix time (integer) x: represents the sensor reading (accelerometer or gyroscope) for the x dimension y: represents the sensor reading (accelerometer or gyroscope) for the y dimension z: represents the sensor reading (accelerometer or gyroscope) for the z dimension
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset wisdm_smartphone_and_smartwatch_activity_and_biometrics_dataset = fetch_ucirepo(id=507) # data (as pandas dataframes) X = wisdm_smartphone_and_smartwatch_activity_and_biometrics_dataset.data.features y = wisdm_smartphone_and_smartwatch_activity_and_biometrics_dataset.data.targets # metadata print(wisdm_smartphone_and_smartwatch_activity_and_biometrics_dataset.metadata) # variable information print(wisdm_smartphone_and_smartwatch_activity_and_biometrics_dataset.variables)
Weiss,Gary. (2019). WISDM Smartphone and Smartwatch Activity and Biometrics Dataset . UCI Machine Learning Repository. https://doi.org/10.24432/C5HK59.
@misc{misc_wisdm_smartphone_and_smartwatch_activity_and_biometrics_dataset__507,
author = {Weiss,Gary},
title = {{WISDM Smartphone and Smartwatch Activity and Biometrics Dataset }},
year = {2019},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5HK59}
}Creators
Gary Weiss
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.