GaitAnalysisDataBase
A collection of 3479 recordings of gait (including kinematic and sEMG signals) from 108 healthy subjects walking normal, slow or fast on flat ground or on treadmill. The Xsens MTw acceleration, angular velocity and magnetic rate vectors are transformed into the world coordinate system, not filtered and gravity compensated. The PLUX acceleration and EMG recordings are synchronized, but not with the Xsens recordings.
The Purpose of Public Datasets
Since 2000 the platform PhysioNet (www.physionet.org) offers free web access to large collections of recorded physiologic signals (PhysioBank) and related open-source software (PhysioToolkit). PhysioNet is an online forum for the dissemination and exchange of recorded biomedical signals and open-source software for analyzing them. It provides facilities for the cooperative analysis of data and the evaluation of proposed new algorithms
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(Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PCh, Mark RG, Mietus JE, Moody GB,
Peng C-K, Stanley HE. PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research
Resource for Complex Physiologic Signals. Circulation101(23): e215-e220 [Circulation Electronic
Pages; http://circ.ahajournals.org/content/101/23/e215.full]; 2000 (June 13)).
Gait databases (https://physionet.org/physiobank/database/#gait) contain stride interval (gait cycle duration) time series in text form.
The MMClab of the University of ABC, Brazil, (http://demotu.org/datasets/walk/) provides a public dataset of 3D walking kinematics and kinetics data on healthy young and older adults at a range of gait speeds in both the treadmill and overground environments. The lower-extremity and pelvis kinematics were measured using a three dimensional (3D) motion-capture system. The external forces were collected using force plates and an instrumented treadmill, respectively. The results include both raw and processed kinematic and kinetic data. Fukuchi et al. give a more extended overview of published gait datasets which is not repeated here.
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(Fukuchi C.A., Fukuchi R.K., Duarte M. (2018), A public dataset of overground and treadmill walking kinematics and
kinetics in healthy individuals. PeerJ 6:e4640; DOI 10.7717/peerj.4640).
Our GaitAnalysisDataBase contains 3D walking kinematics and muscle activity data from healthy adults walking on the flat ground or on a treadmill. The acceleration, angular velocity and magnetic rate vectors are measured using inertial measurement units (IMU Xsens MTw) sensors applied to both feet, shanks, thighs and the pelvis. EMG recordings are acquired using acceleration and surface EMG sensors (PLUX XYZ and PLUX sEMG) applied at various leg muscles. The datasets include unfiltered, gravity compensated kinematic data from the Xsens sensors, as well as unprocessed raw data from the PLUX acceleration and sEMG sensors.
Reference
If you use this data or any of the code examples in your publications or research, we kindly ask you to cite the following paper:
The Story of this Database
Since about five years Gait Analysis is a topic of research and education at the Department of Medical Informatics at the Brandenburg University of Applied Sciences (THB). Students and professors, technicians and researchers have been involved in the process of preparing and conducting measurements, as well as in storing and evaluating the acquired data. All these volunteers – healthy adults between 18 and 65 from several nationalities – provided informed consent about the experiments, data storage and future use of the data. Measurements were made at THB, at FH Vorarlberg (Austria), at the University of Oulu (Finland) and at MMUST (Kenya). Experiments were conducted in a variety of settings — indoor and outdoor, on paved and unpaved trails, and at various climatic conditions — investigating various aspects of human movement.
The datasets contain measurement data of walking scenarios (including kinematics and muscle activities) of 108 healthy adults using three types of sensors:
- inertial measurement units (IMU Xsens MTw)
- acceleration and surface EMG sensors (PLUX XYZ and sEMG).
The included datasets have been acquired in two main scenarios:
- “The Catwalk”: walking a distance of 20 (10 to 80 m) on flat ground at usual / normal, reduced / slowed and increased / fast speed,
- “The Treadmill”: walking on a treadmill at incremental speed settings from 3.5 to 6.5 km/h or from 2 to 8 km/h).
Following the initial idea of the PhysioNet platform, this database is meant to facilitate “the cooperative analysis of data and the evaluation of proposed new algorithms”, to support the development of robust algorithms and to be used for teaching and other educational purposes. The data were acquired by lecturers and students guided by prescribed procedures and checklists. Recordings containing measurement errors or procedural faults, caused by equipment, probands or instructors, have not been excluded. Instead, they serve as useful examples for testing the robustness of implemented algorithms.
