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GaitMotion: A Multitask Dataset for Pathological Gait Forecasting Zhang, Wenwen; Zhang, Hao; Jiang, Zenan; Wang, Jing; Servati, Amir; Kuo, Calvin; Servati, Peyman

Description

We provide a dataset for the gait analysis which contains extensive ground truths from gait events at the sample index level to gait parameters for normal and pathological walking patterns. We also provide a baseline model to predict the gait parameters from IMU recordings. Please refer to https://github.com/Zhang-Wenwen/GaitMotion for more details.

Item Metadata

Title	GaitMotion: A Multitask Dataset for Pathological Gait Forecasting
Creator	Zhang, Wenwen; Zhang, Hao; Jiang, Zenan; Wang, Jing; Servati, Amir; Kuo, Calvin; Servati, Peyman
Contributor	Zhang, Wenwen
Date Issued	2023-08-04
Description	We provide a dataset for the gait analysis which contains extensive ground truths from gait events at the sample index level to gait parameters for normal and pathological walking patterns. We also provide a baseline model to predict the gait parameters from IMU recordings. Please refer to https://github.com/Zhang-Wenwen/GaitMotion for more details.
Subject	Computer and Information Science; Engineering; gait analysis, pathological gaits, machine learning,wearables,gait pattern,gait parameters,stride segmentation, domain shift,zero velocity update, IMU, benchmark,personalized healthcare, daily activity tracking
Type	Dataset
Notes	GaitMotion is available with a CC BY-NC-SA 4.0 license, which grants you the freedom to utilize, replicate, and distribute the content for non-commercial purposes, as long as proper credit is given, a link to the license is provided, and any modifications are clearly indicated. If you choose to adapt, alter, or expand upon the material, you must distribute your contributions under the same license as the original. Commercial use of the material is not permitted.
Date Available	2023-06-09
Provider	University of British Columbia Library
License	CC BY-NC-SA 4.0
DOI	10.14288/1.0435087
URI	https://doi.org/10.5683/SP3/V6C59O
Publisher DOI	https://doi.org/10.5683/SP3/V6C59O
Rights URI	http://creativecommons.org/licenses/by-nc-sa/4.0
Aggregated Source Repository	Dataverse

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CC BY-NC-SA 4.0