HAR70+
Donated on 2/22/2023
The Human Activity Recognition 70+ (HAR70+) dataset is a professionally-annotated dataset containing 18 fit-to-frail older-adult subjects (70-95 years old) wearing two 3-axial accelerometers for around 40 minutes during a semi-structured free-living protocol. The sensors were attached to the right thigh and lower back.
Dataset Characteristics
Multivariate, Time-Series
Subject Area
Computer Science
Associated Tasks
Classification
Feature Type
Real
# Instances
2259597
# Features
6
Dataset Information
For what purpose was the dataset created?
The purpose was to train machine learning models for human activity recognition on professionally-annotated accelerometer data of fit-to-frail older adults.
Additional Information
The HAR70+ dataset contains recordings of 18 older adult participants wearing two 3-axial Axivity AX3 accelerometers for around 40 minutes in a semi-structured free-living setting. The participants' age was between 70 and 95 years. Five of the 18 subjects used walking aids during data recording. One sensor was attached to the right front thigh and the other to the lower back. The provided sampling rate is 50Hz. Video recordings of a chest-mounted camera were used to annotate the performed activities frame-by-frame. Each subject's recordings are provided in a separate .csv file. One such .csv file contains the following columns: 1. timestamp: date and time of recorded sample 2. back_x: acceleration of back sensor in x-direction (down) in the unit g 3. back_y: acceleration of back sensor in y-direction (left) in the unit g 4. back_z: acceleration of back sensor in z-direction (forward) in the unit g 5. thigh_x: acceleration of thigh sensor in x-direction (down) in the unit g 6. thigh_y: acceleration of thigh sensor in y-direction (right) in the unit g 7. thigh_z: acceleration of thigh sensor in z-direction (backward) in the unit g 8. label: annotated activity code The dataset contains the following annotated activities with the corresponding coding scheme: 1: walking 3: shuffling 4: stairs (ascending) 5: stairs (descending) 6: standing 7: sitting 8: lying
Has Missing Values?
No
Introductory Paper
By Astrid Ustad, Aleksej Logacjov, Stine Øverengen Trollebø, Pernille Thingstad, Beatrix Vereijken, Kerstin Bach, and Nina Skjæret Maroni. 2023
Published in Sensors
Dataset Files
| File | Size |
|---|---|
| har70plus/515.csv | 13.4 MB |
| har70plus/504.csv | 12.9 MB |
| har70plus/518.csv | 12.7 MB |
| har70plus/517.csv | 12.7 MB |
| har70plus/516.csv | 11.9 MB |
0 to 5 of 18
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset har70 = fetch_ucirepo(id=780) # data (as pandas dataframes) X = har70.data.features y = har70.data.targets # metadata print(har70.metadata) # variable information print(har70.variables)
Logacjov, A. & Ustad, A. HAR70+ [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5CW3D.
Keywords
Creators
Aleksej Logacjov
aleksej.logacjov@ntnu.no
Norwegian University of Science and Technology
Astrid Ustad
Norwegian University of Science and Technology
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.