Abstract: This reference dataset contains biomechanical data of 138 able-bodied adults (21\u201386 years) and 50 stroke survivors walking bare-footed at their preferred speed. It is unique due to its size, and population, including adults across the life-span and over 70 years, as well as stroke survivors. Full-body kinematics (PiG-model), kinetics and muscle activity of 14 back and lower limbs muscles was collected with a Vicon motion capture system, ground-embedded force plates, and a synchronized surface EMG system. The data is reliable to compare within and between groups as the same methodology and infrastructure were used to gather all data. Both source files ( C3D ) and post-processed ready-to-use stride-normalized kinematics, kineti...
Physical activity monitoring algorithms are often developed using conditions that do not represent r...
This dataset contains upper limb kinematics of twenty chronic stroke-subjects and five healthy contr...
OBJECTIVE: To assess the reliability of kinematic, mechanical and energetic gait variables at short ...
In a typical clinical gait analysis, the gait patterns of pathological individuals are commonly comp...
Human motion capture is used in various fields to analyse, understand and reproduce the diversity of...
The dataset comprises raw kinetic and full-body kinematic data (both in .c3d and .tsv) of 57 healthy...
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...
The dataset comprises raw kinetic and lower-body kinematic data (both in .c3d and .tsv) of eight hea...
The purpose of this study was to determine the muscular contributions to the acceleration of the who...
OverviewBiomechanics dataset of human subjects (N=1798) walking and or running on a treadmill. Data ...
Through gait analysis, gait phases can be identified, the kinematic and kinetic parameters of human ...
Purpose: To examine the between-day absolute reliability of gait parameters acquired with Theia3D ma...
Background: Stroke leads to motor impairment which reduces physical activity, negatively affects soc...
Physical activity monitoring algorithms are often developed using conditions that do not represent r...
This dataset contains upper limb kinematics of twenty chronic stroke-subjects and five healthy contr...
OBJECTIVE: To assess the reliability of kinematic, mechanical and energetic gait variables at short ...
In a typical clinical gait analysis, the gait patterns of pathological individuals are commonly comp...
Human motion capture is used in various fields to analyse, understand and reproduce the diversity of...
The dataset comprises raw kinetic and full-body kinematic data (both in .c3d and .tsv) of 57 healthy...
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...
The dataset comprises raw kinetic and lower-body kinematic data (both in .c3d and .tsv) of eight hea...
The purpose of this study was to determine the muscular contributions to the acceleration of the who...
OverviewBiomechanics dataset of human subjects (N=1798) walking and or running on a treadmill. Data ...
Through gait analysis, gait phases can be identified, the kinematic and kinetic parameters of human ...
Purpose: To examine the between-day absolute reliability of gait parameters acquired with Theia3D ma...
Background: Stroke leads to motor impairment which reduces physical activity, negatively affects soc...
Physical activity monitoring algorithms are often developed using conditions that do not represent r...
This dataset contains upper limb kinematics of twenty chronic stroke-subjects and five healthy contr...
OBJECTIVE: To assess the reliability of kinematic, mechanical and energetic gait variables at short ...