Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6947801 | Applied Ergonomics | 2016 | 8 Pages |
Abstract
A textile pressure mat (64-sensor-matrix) placed on the seat pan was used to identify the adopted sitting positions of 20 office workers by means of random forest classification. Additionally, two standardised questionnaires (Korff, BPI) were used to assess short and long-term back pain in order to divide the subjects into two groups (with and without back pain). Independent t-test indicated that subjects who registered back pain within the last 24Â h showed a clear trend towards a more static sitting behaviour. Therefore, the developed sensor system has successfully been introduced to characterise and compare sitting behaviour of subjects with and without back pain.
Related Topics
Physical Sciences and Engineering
Computer Science
Human-Computer Interaction
Authors
Roland Zemp, Michael Fliesser, Pia-Maria Wippert, William R. Taylor, Silvio Lorenzetti,