Simulated gait dataset for abnormality detection

The dataset is created by collecting volunteers walking data using inertial motion units (IMU) placed on the forefoot. Data collection device was Shimmer S3 IMU.

Volunteers simulated eight different common gait deviations focusing on lower extremities.

Simulation was recreating actual patients' gait patterns, under the instructions of professional physiotherapist.

Each gait recording contains normal ("ok") and abnormal ("ab") step patterns, as well as turn ("turn") steps.

Start of the recording is shown by label "start" and "stop" of the recording is shown by label stop.

In total, there are 22 different persons, who simulated different combinations of abnormal step patterns. 

Data was annotated by the definitive shapes of step patterns using gyroscope magnitude and gait recording videos for reference.

In the main folder of "depersonalyzed_data" are folders containing data for each person separately.

Then for each person folder, there are folders named after gait types, which were simulated.

In each gait type folder, there are one to several gait recordings in CSV files, and corresponding labels in the txt files.

The delimiter in the CSV file is tab. In the TXT file, each label is on the new line.

CSV file has the following structure. Columns: time in ms, accelerometer axis x,y,z in m/(s^2) and gyroscope axis x,y,z in deg/s. Rows: first row is containing standard Shimmer values, which are unique for each column.

Second row contains units of measurement, starting from third row is data itself, where decimal is separated by full stop.

Sampling rate is set to 256Hz. Accelerometer range is 8G and gyroscope range is 1000 deg/s.

TXT file has the following structure. Columns: start of the label, end of label and value of the label.

Data has been used in the publications listed below, first for classification and then for real-time in-step anomaly detection.

The studies approved by Estonian Research Ethics Committee of the National Institute for Health Development, permission No.818. The participants provided their written informed consent to participate in this study.

To access the data please use link below:

https://drive.google.com/drive/folders/10FDCG4xpRwhuYfh9eatbPI0D0JsHxOe_?usp=sharing