GRF_F_ML_RAW_right
Brian Horsak
Djordje Slijepcevic
Anna-Maria Raberger
Caterine Schwab
Matthias Zeppelzauer
Marianne Worisch
10.6084/m9.figshare.11394810.v1
https://springernature.figshare.com/articles/dataset/GRF_F_ML_RAW_right/11394810
This file is structured as a matrix with N rows x M columns. Each row holds the data of one subject and trial. The first column identifies each subject "SUBJECT_ID", the second column each recording session "SESSION_ID", and the third column each single trial within a recording session "TRIAL_ID".
Note that due to the non-normalized nature of the data and the resulting different vector lengths, non-available numbers have been replaced by "NaN" to maintain a constant matrix-dimension.
2020-04-30 08:51:14
Biomechanics
Ground reaction force
Gait analysis
Machine learning
musculoskeletal impairments
pattern recognition algorithms
Rehabilitation