Rollator movement motion sensing data - gold standard
datasetposted on 12.10.2016 by Tsu-Jui Cheng, Laurence Kenney, James D. Amor, Eleonora Costamagna, Sibylle Brunhilde Anitha Thies, Christopher J. James, Catherine Holloway
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
This is an initial study to characterise rollator movement. An inertial measurement unit (IMU) was used to measure the motion of the rollator and analytical approaches were developed to extract features characterising the rollator movement, properties of the surface, and push events. The analytics were tested in two situations, firstly a healthy participant used a rollator in a laboratory using a motion capture system to obtain ground truth. Secondly the IMU was used to measure the movement of a rollator being used by a user with multiple sclerosis (MS) on a flat surface, cross-slope, up and down slopes, and up and down a step
The dataset of motion sensing movement is comprised of seven straight-lighting walking trials (between 4-5 m) performed by a healthy participant using a rollator in a gait lab. The raw data were in csv format recorded by VICON system and subsequently analysed in Microsoft Excel 2013 to calculate the distance travelled by a rollator.