The dataset consists of all the data of the 22 healthy subjects plus one subject with foot drop. The data are stored in ASCII (text) format and can be downloaded separately or as a single compressed file. The dataset has three types of contents: data of the measured signals (data files), data of the gait events (event files), and metadata about the subjects (metadata file). The task performed by each subject was to walk barefoot six times at each of three self-paced speeds (comfortable, slow, and fast) on a 40-m long and 2-m wide walkway, without curves, with a flat and rigid surface (trials 1, 3, and 5 were in one direction, and trials 2, 4, and 6 were in the opposite direction). The order of the speeds was randomized among subjects. Each ...
Gait recognition is an emerging biometric method that allows an automatic verification of a person b...
Stride length estimation is one of the most crucial aspects of Pedestrian Dead Reckoning (PDR). Due ...
The dataset comprises raw kinetic and lower-body kinematic data (both in .c3d and .tsv) of eight hea...
Human motion capture is used in various fields to analyse, understand and reproduce the diversity of...
AbstractA full dataset of asymptomatic human gait and other movements including marker trajectories,...
The article describes a dataset of gait measures acquired to validate the use of wearable sensors in...
This dataset is associated with a data descriptor that is currently under peer review. Please firs...
OverviewBiomechanics dataset of human subjects (N=1798) walking and or running on a treadmill. Data ...
In a typical clinical gait analysis, the gait patterns of pathological individuals are commonly comp...
This five-part dataset is intended for human gait analysis in an older adult population (37 women an...
The dataset comprises raw kinetic and lower-body kinematic data (both in .c3d and .tsv) of nine heal...
This repository contains data from our study titled "Load position and weight classification during ...
The dataset comprises raw kinetic and full-body kinematic data (both in .c3d and .tsv) of 57 healthy...
Gait variability is a sensitive metric for assessing functional deficits in individuals with mobilit...
Gait recognition is an emerging biometric method that allows an automatic verification of a person b...
Stride length estimation is one of the most crucial aspects of Pedestrian Dead Reckoning (PDR). Due ...
The dataset comprises raw kinetic and lower-body kinematic data (both in .c3d and .tsv) of eight hea...
Human motion capture is used in various fields to analyse, understand and reproduce the diversity of...
AbstractA full dataset of asymptomatic human gait and other movements including marker trajectories,...
The article describes a dataset of gait measures acquired to validate the use of wearable sensors in...
This dataset is associated with a data descriptor that is currently under peer review. Please firs...
OverviewBiomechanics dataset of human subjects (N=1798) walking and or running on a treadmill. Data ...
In a typical clinical gait analysis, the gait patterns of pathological individuals are commonly comp...
This five-part dataset is intended for human gait analysis in an older adult population (37 women an...
The dataset comprises raw kinetic and lower-body kinematic data (both in .c3d and .tsv) of nine heal...
This repository contains data from our study titled "Load position and weight classification during ...
The dataset comprises raw kinetic and full-body kinematic data (both in .c3d and .tsv) of 57 healthy...
Gait variability is a sensitive metric for assessing functional deficits in individuals with mobilit...
Gait recognition is an emerging biometric method that allows an automatic verification of a person b...
Stride length estimation is one of the most crucial aspects of Pedestrian Dead Reckoning (PDR). Due ...
The dataset comprises raw kinetic and lower-body kinematic data (both in .c3d and .tsv) of eight hea...