{"conference":{"name":"International Conference on Pattern Recognition Applications and Methods","location":"Vilamoura, Algarve, Portugal"},"date_updated":"2025-12-15T11:34:24Z","type":"conference","author":[{"first_name":"Christian","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0002-7329-0320/work/199765076","last_name":"Peters","id":"257329","full_name":"Peters, Christian","orcid":"0009-0002-7329-0320"},{"full_name":"Hermann, Thomas","first_name":"Thomas","last_name":"Hermann"},{"first_name":"Sven","last_name":"Wachsmuth","full_name":"Wachsmuth, Sven"}],"publication_identifier":{"isbn":["978-989-8425-98-0","978-989-8425-99-7"]},"status":"public","page":"162-171","publisher":"SciTePress - Science and and Technology Publications","publication":"Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods","main_file_link":[{"open_access":"1"}],"year":"2012","abstract":[{"text":"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. ","lang":"eng"}],"title":"USER BEHAVIOR RECOGNITION FOR AN AUTOMATIC PROMPTING SYSTEM - A Structured Approach based on Task Analysis","_id":"6422","language":[{"iso":"eng"}],"citation":{"ama":"Peters C, Hermann T, Wachsmuth S. USER BEHAVIOR RECOGNITION FOR AN AUTOMATIC PROMPTING SYSTEM - A Structured Approach based on Task Analysis. In: <i>Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods</i>. SciTePress - Science and and Technology Publications; 2012:162-171. doi:<a href=\"https://doi.org/10.5220/0003773601620171\">10.5220/0003773601620171</a>","alphadin":"<span style=\"font-variant:small-caps;\">Peters, Christian</span> ; <span style=\"font-variant:small-caps;\">Hermann, Thomas</span> ; <span style=\"font-variant:small-caps;\">Wachsmuth, Sven</span>: USER BEHAVIOR RECOGNITION FOR AN AUTOMATIC PROMPTING SYSTEM - A Structured Approach based on Task Analysis. In: <i>Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods</i> : SciTePress - Science and and Technology Publications, 2012, S. 162–171","apa":"Peters, C., Hermann, T., &#38; Wachsmuth, S. (2012). USER BEHAVIOR RECOGNITION FOR AN AUTOMATIC PROMPTING SYSTEM - A Structured Approach based on Task Analysis. In <i>Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods</i> (pp. 162–171). Vilamoura, Algarve, Portugal: SciTePress - Science and and Technology Publications. <a href=\"https://doi.org/10.5220/0003773601620171\">https://doi.org/10.5220/0003773601620171</a>","mla":"Peters, Christian, et al. “USER BEHAVIOR RECOGNITION FOR AN AUTOMATIC PROMPTING SYSTEM - A Structured Approach Based on Task Analysis.” <i>Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods</i>, SciTePress - Science and and Technology Publications, 2012, pp. 162–71, doi:<a href=\"https://doi.org/10.5220/0003773601620171\">10.5220/0003773601620171</a>.","ieee":"C. Peters, T. Hermann, and S. Wachsmuth, “USER BEHAVIOR RECOGNITION FOR AN AUTOMATIC PROMPTING SYSTEM - A Structured Approach based on Task Analysis,” in <i>Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods</i>, Vilamoura, Algarve, Portugal, 2012, pp. 162–171.","chicago":"Peters, Christian, Thomas Hermann, and Sven Wachsmuth. “USER BEHAVIOR RECOGNITION FOR AN AUTOMATIC PROMPTING SYSTEM - A Structured Approach Based on Task Analysis.” In <i>Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods</i>, 162–71. SciTePress - Science and and Technology Publications, 2012. <a href=\"https://doi.org/10.5220/0003773601620171\">https://doi.org/10.5220/0003773601620171</a>.","short":"C. Peters, T. Hermann, S. Wachsmuth, in: Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods, SciTePress - Science and and Technology Publications, 2012, pp. 162–171.","bibtex":"@inproceedings{Peters_Hermann_Wachsmuth_2012, title={USER BEHAVIOR RECOGNITION FOR AN AUTOMATIC PROMPTING SYSTEM - A Structured Approach based on Task Analysis}, DOI={<a href=\"https://doi.org/10.5220/0003773601620171\">10.5220/0003773601620171</a>}, booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods}, publisher={SciTePress - Science and and Technology Publications}, author={Peters, Christian and Hermann, Thomas and Wachsmuth, Sven}, year={2012}, pages={162–171} }"},"user_id":"263827","doi":"10.5220/0003773601620171","publication_status":"published","oa":"1","date_created":"2025-12-15T10:27:01Z"}