Daphnet Freezing of Gait
Donated on 3/6/2013
This dataset contains the annotated readings of 3 acceleration sensors at the hip and leg of Parkinson's disease patients that experience freezing of gait (FoG) during walking tasks.
Dataset Characteristics
Multivariate, Time-Series
Subject Area
Health and Medicine
Associated Tasks
Classification
Feature Type
Real
# Instances
237
# Features
-
Dataset Information
Additional Information
The Daphnet Freezing of Gait Dataset is a dataset devised to benchmark automatic methods to recognize gait freeze from wearable acceleration sensors placed on legs and hip. The dataset was recorded in the lab with emphasis on generating many freeze events. Users performed there kinds of tasks: straight line walking, walking with numerous turns, and finally a more realistic activity of daily living (ADL) task, where users went into different rooms while fetching coffee, opening doors, etc. This dataset is the result of a collaboration between the Laboratory for Gait and Neurodynamics, Tel Aviv Sourasky Medical Center, Israel and the Wearable Computing Laboratory, ETH Zurich, Switzerland. Recordings were run at the Tel Aviv Sourasky Medical Center in 2008. The study was approved by the local Human Subjects Review Committee, and was performed in accordance with the ethical standards of the Declaration of Helsinki.
Has Missing Values?
No
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| no | |||||
| no | |||||
| no | |||||
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Additional Variable Information
Each file comprises the data in a matrix format, with one line per sample, and one column per channel. The channels are as follows: Time of sample in millisecond Ankle (shank) acceleration - horizontal forward acceleration [mg] Ankle (shank) acceleration - vertical [mg] Ankle (shank) acceleration - horizontal lateral [mg] Upper leg (thigh) acceleration - horizontal forward acceleration [mg] Upper leg (thigh) acceleration - vertical [mg] Upper leg (thigh) acceleration - horizontal lateral [mg] Trunk acceleration - horizontal forward acceleration [mg] Trunk acceleration - vertical [mg] Trunk acceleration - horizontal lateral [mg] Annotation [0, 1, or 2] The meaning of the annotations are as follows: 0: not part of the experiment. For instance the sensors are installed on the user or the user is performing activities unrelated to the experimental protocol, such as debriefing 1: experiment, no freeze (can be any of stand, walk, turn) 2: freeze
Dataset Files
| File | Size |
|---|---|
| dataset_fog_release/dataset/S04R01.txt | 8.7 MB |
| dataset_fog_release/dataset/S10R01.txt | 8.4 MB |
| dataset_fog_release/dataset/S06R01.txt | 8 MB |
| dataset_fog_release/dataset/S09R01.txt | 7.7 MB |
| dataset_fog_release/dataset/S01R01.txt | 6.8 MB |
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset daphnet_freezing_of_gait = fetch_ucirepo(id=245) # data (as pandas dataframes) X = daphnet_freezing_of_gait.data.features y = daphnet_freezing_of_gait.data.targets # metadata print(daphnet_freezing_of_gait.metadata) # variable information print(daphnet_freezing_of_gait.variables)
Roggen, D., Plotnik, M., & Hausdorff, J. (2010). Daphnet Freezing of Gait [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C56K78.
Creators
Daniel Roggen
Meir Plotnik
Jeff Hausdorff
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.