A multimodal dataset of human gait at different walking speeds established on injury-free adult participants.

ABSTRACT: Human motion capture is used in various fields to analyse, understand and reproduce the diversity of movements that are required during daily-life activities. The proposed dataset of human gait has been established on 50 adults healthy and injury-free for lower and upper extremities in the most recent six months, with no lower and upper extremity surgery in the last two years. Participants were asked to walk on a straight level walkway at 5 speeds during one unique session: 0-0.4 m.s^-1, 0.4-0.8 m.s^-1, 0.8-1.2 m.s^-1, self-selected spontaneous and fast speeds. Three dimensional trajectories of 52 reflective markers spread over the whole body, 3D ground reaction forces and moment, and electromyographic signals were simultaneously recorded. For each participant

SUBMITTER: Schreiber C 

PROVIDER: S-EPMC6610108 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature