loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Christian Peters ; Thomas Hermann and Sven Wachsmuth

Affiliation: Bielefeld University, Germany

ISBN: 978-989-8425-99-7

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

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.198.27.243

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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 2: ICPRAM, ISBN 978-989-8425-99-7, 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 2: ICPRAM,},
year={2012},
pages={162-171},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003773601620171},
isbn={978-989-8425-99-7},
}

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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.