USER BEHAVIOR RECOGNITION FOR AN AUTOMATIC PROMPTING SYSTEM - A Structured Approach based on Task Analysis

Christian Peters, Thomas Hermann, Sven Wachsmuth

2012

Abstract

In this paper, we describe a structured approach for user behavior recognition in an automatic prompting system that assists users with cognitive disabilities in the task of brushing their teeth. We analyze the brushing task using qualitative data analysis. The results are a hierarchical decomposition of the task and the identification of environmental configurations during subtasks. We develop a hierarchical recognition framework based on the results of task analysis: We extract a set of features from multimodal sensors which are discretized into the environmental configuration in terms of states of objects involved in the brushing task. We classify subtasks using a Bayesian Network (BN) classifier and a Bayesian Filtering approach. We compare three variants of the BN using different observation models (IU, NaiveBayes and Holistic) with a maximum-margin classifier (multi-class SVM). We present recognition results on 18 trials with regular users and found the BN with a NaiveBayes observation model to produce the best recognition rates of 84.5% on avg.

Paper Citation

in Harvard Style

Peters C., Hermann T. and Wachsmuth S. (2012). USER BEHAVIOR RECOGNITION FOR AN AUTOMATIC PROMPTING SYSTEM - A Structured Approach based on Task Analysis . In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM, ISBN 978-989-8425-99-7, pages 162-171. DOI: 10.5220/0003773601620171

in Bibtex Style

@conference{icpram12,
author={Christian Peters and Thomas Hermann and Sven Wachsmuth},
title={USER BEHAVIOR RECOGNITION FOR AN AUTOMATIC PROMPTING SYSTEM - A Structured Approach based on Task Analysis},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,},
year={2012},
pages={162-171},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003773601620171},
isbn={978-989-8425-99-7},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,
TI - USER BEHAVIOR RECOGNITION FOR AN AUTOMATIC PROMPTING SYSTEM - A Structured Approach based on Task Analysis
SN - 978-989-8425-99-7
AU - Peters C.
AU - Hermann T.
AU - Wachsmuth S.
PY - 2012
SP - 162
EP - 171
DO - 10.5220/0003773601620171