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 NameRoleTypeDescriptionUnitsMissing Values
no
no
no
no
no
no
no
no
no

0 to 9 of 9

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

FileSize
dataset_fog_release/dataset/S04R01.txt8.7 MB
dataset_fog_release/dataset/S10R01.txt8.4 MB
dataset_fog_release/dataset/S06R01.txt8 MB
dataset_fog_release/dataset/S09R01.txt7.7 MB
dataset_fog_release/dataset/S01R01.txt6.8 MB

0 to 5 of 29

Reviews

There are no reviews for this dataset yet.

Login to Write a Review
Download (20.5 MB)
0 citations
5756 views

Creators

Daniel Roggen

Meir Plotnik

Jeff Hausdorff

License

By using the UCI Machine Learning Repository, you acknowledge and accept the cookies and privacy practices used by the UCI Machine Learning Repository.

Read Policy