TRIPOD - A Treadmill Walking Dataset with IMU, Pressure-distribution and Photoelectric Data for Gait Analysis

The peer-reviewed paper associated with this dataset can be found here. Please consider citing this when
re-using the dataset.

Inertial measurement units (IMUs) enable easy to operate and low-cost data recording for gait analysis. When combined with treadmill walking, a large number of steps can be collected in a controlled environment without the need of a dedicated gait analysis laboratory. In order to evaluate existing and novel IMU-based gait analysis algorithms for treadmill walking, a reference dataset that includes IMU data as well as reliable ground truth measurements for multiple participants and walking speeds is needed. This dataset contains data from of 15 healthy young adults who walked on a treadmill at three different speeds. Data was acquired using seven IMUs placed on the lower body, two different reference systems (Zebris FDMT-HQ and OptoGait) and two RGB cameras. Additionally, in order to validate an existing IMU-based gait analysis algorithm by using the dataset, an adaptable modular data analysis pipeline was built. Our results show close agreement between the Zebris and OptoGait systems (r=0.99), demonstrating the high quality of our reference data.