TY  - CONF
ID  - Tessendorf_Unsupervised_Monitoring_of_Sitting_Behavior_2009
T1  - Unsupervised Monitoring of Sitting Behavior
A1  - Tessendorf, Bernd
A1  - Arnrich, Bert
A1  - Schumm, Johannes
A1  - Setz, Cornelia
A1  - Tröster, Gerhard
TI  - Proceedings of EMBC09
Y1  - 2009
M2  - doi: 10.1109/IEMBS.2009.5334620
KW  - arnrich_sitting
KW  - SEAT
N2  - In recent years, the monitoring of sitting postures
was discovered to be a promising measure of healthy sitting
behavior, comfort, physical wellness and emotions. Most stateof-
the-art systems for monitoring sitting behavior are based on
supervised methods that are limited to a fixed set of classes. We
present a method that does not rely on training but distinguishes
between different postures autonomously.
We designed and implemented a system to monitor sitting
behavior in an unsupervised manner. Based on the pressure distribution
acquired from a pressure mat we generate prototypes
of sitting postures. The prototypes are stored in a database
and serve as reference for comparing and classifying incoming
pressure data. The system relies on only a few, interpretable
system parameters and performs in real-time.
We conducted an experiment with a collective of 8 subjects
and recorded the data of 16 different postures for each subject.
Our proposed method generates on average 15.57 prototypes
of postures. This reflects well the 16 postures that actually
occurred in the experiment. In 91% of all cases an unambiguous
assignment of a posture to exactly one generated prototype was
achieved. On the other hand an unambiguous assignment of a
prototype to a posture was obtained in 86%.
ER  -