You are in: results > conference papers > ERK 2009

Results

---------------------------------------------------------------------------------------------------------- Conference Papers
-----------------------------------------------------------------------------------------------------------

V. Mirčevska, M. Luštrek, M. Gams. Combining Machine Learning and Expert Knowledge for Classifying Human Posture. 18^th International Electrotechnical and Computer Science Conference, ERK 2009 ,21^st - 23^th September,Portoroz-Slovenia.

 

Abstract:

This paper presents a rule engine for classifying human posture according to information about the location of body parts. The rule engine was developed by enriching decision trees with expert knowledge. Results show 5 percentage points improvement in accuracy compared to support vector machines and a significant 11 percentage points compared to decision trees. The incorporation of expert knowledge overcomes the problem of classifier over-fitting observed with classifiers induced with machine learning. Better robustness of the posture classification rule engine is expected in real-life tests in comparison to classifiers induced with machine learning.