Abstract
Here we share a rich gait data set collected from fifteen subjects walking at three speeds on an instrumented treadmill. Each trial consists of 120 s of normal walking and 480 s of walking while being longitudinally perturbed during each stance phase with pseudo-random fluctuations in the speed of the treadmill belt. A total of approximately 1.5 h of normal walking (>5000 gait cycles) and 6 h of perturbed walking (>20,000 gait cycles) is included in the data set. We provide full body marker trajectories and ground reaction loads in addition to a presentation of processed data that includes gait events, 2D joint angles, angular rates, and joint torques along with the open source software used for the computations. The protocol is described in detail and supported with additional elaborate meta data for each trial. This data can likely be useful for validating or generating mathematical models that are capable of simulating normal periodic gait and non-periodic, perturbed gaits.
Highlights
The collection of dynamical data during human walking has a long history beginning with the first motion pictures and with modern marker based motion capture techniques and high fidelity ground reaction load measurements
We first provide a detailed description of the raw data followed by an overview of several computed variables that give an idea of the characteristics of both the unperturbed and perturbed gait
We have presented a rich and elaborate data set of motion and ground reaction loads from human subjects during both normal walking and when recovering from perturbations
Summary
The collection of dynamical data during human walking has a long history beginning with the first motion pictures and with modern marker based motion capture techniques and high fidelity ground reaction load measurements. The data that is available generally suffers from limitations such as few subjects, few gait cycles, few markers, highly clinical, no raw data, limited force plate measurements, lack of meta data, non-standard formats, and restrictive licensing. To help with this situation we are making the data we collected for our research purposes publicly available and free of the previously mentioned deficiencies. Do we provide a larger set of normative gait data that has been previously available, we include an even larger set of data in which the subject is being perturbed, something that does not currently exist We believe both of these sets of data can serve a variety of use cases and hope that we can save time and effort for future researchers by sharing it. The combination of the open data and open software allow the results presented within to be computationally reproducible and instructions are included in the associated repository (https://github.com/csu-hmc/ perturbed-data-paper) for reproducing the results
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