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Authors: Christian Peters ; Thomas Hermann and Sven Wachsmuth

Affiliation: Bielefeld University, Germany

Keyword(s): User behavior recognition, Task analysis, Bayesian network, Bayesian filtering.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Learning of Action Patterns ; Pattern Recognition ; Software Engineering ; Video Analysis

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 obs ervation model to produce the best recognition rates of 84.5% on avg. (More)

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Paper citation in several formats:
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 1: ICPRAM; ISBN 978-989-8425-99-7; ISSN 2184-4313, SciTePress, pages 162-171. DOI: 10.5220/0003773601620171

@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 1: ICPRAM},
year={2012},
pages={162-171},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003773601620171},
isbn={978-989-8425-99-7},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM
TI - USER BEHAVIOR RECOGNITION FOR AN AUTOMATIC PROMPTING SYSTEM - A Structured Approach based on Task Analysis
SN - 978-989-8425-99-7
IS - 2184-4313
AU - Peters, C.
AU - Hermann, T.
AU - Wachsmuth, S.
PY - 2012
SP - 162
EP - 171
DO - 10.5220/0003773601620171
PB - SciTePress

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