[{"keyword":["augmented reality","computer based training","data handling","industrial training","learning (artificial intelligence)","time series"],"conference":{"end_date":"2019-07-25","location":"Helsinki, Finland,","start_date":"2019-07-22","name":"17th International Conference on Industrial Informatics (INDIN)"},"publication":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","doi":"10.1109/INDIN41052.2019.8972122","publication_identifier":{"issn":["2378-363X"],"isbn":["978-1-7281-2927-3"]},"publication_status":"published","department":[{"_id":"DEP5023"}],"title":"Machine Learning for Assistance Systems: Pattern-Based Approach to Online Step Recognition","publisher":"IEEE","citation":{"ieee":"M. Fullen, A. Maier, A. Nazarenko, S. Jenderny, and C. Röcker, “Machine Learning for Assistance Systems: Pattern-Based Approach to Online Step Recognition,” in <i>2019 IEEE 17th International Conference on Industrial Informatics (INDIN)</i>, IEEE, Ed. Piscataway, NJ : IEEE, 2019, pp. 296–302.","van":"Fullen M, Maier A, Nazarenko A, Jenderny S, Röcker C. Machine Learning for Assistance Systems: Pattern-Based Approach to Online Step Recognition. In: IEEE, editor. 2019 IEEE 17th International Conference on Industrial Informatics (INDIN). Piscataway, NJ : IEEE; 2019. p. 296–302.","ama":"Fullen M, Maier A, Nazarenko A, Jenderny S, Röcker C. Machine Learning for Assistance Systems: Pattern-Based Approach to Online Step Recognition. In: IEEE, ed. <i>2019 IEEE 17th International Conference on Industrial Informatics (INDIN)</i>. Piscataway, NJ : IEEE; 2019:296-302. doi:<a href=\"https://doi.org/10.1109/INDIN41052.2019.8972122\">10.1109/INDIN41052.2019.8972122</a>","apa":"Fullen, M., Maier, A., Nazarenko, A., Jenderny, S., &#38; Röcker, C. (2019). Machine Learning for Assistance Systems: Pattern-Based Approach to Online Step Recognition. In IEEE (Ed.), <i>2019 IEEE 17th International Conference on Industrial Informatics (INDIN)</i> (pp. 296–302). Piscataway, NJ : IEEE. <a href=\"https://doi.org/10.1109/INDIN41052.2019.8972122\">https://doi.org/10.1109/INDIN41052.2019.8972122</a>","havard":"M. Fullen, A. Maier, A. Nazarenko, S. Jenderny, C. Röcker, Machine Learning for Assistance Systems: Pattern-Based Approach to Online Step Recognition, in: IEEE (Ed.), 2019 IEEE 17th International Conference on Industrial Informatics (INDIN), IEEE, Piscataway, NJ , 2019: pp. 296–302.","ufg":"<b>Fullen, Marta et. al. (2019)</b>: Machine Learning for Assistance Systems: Pattern-Based Approach to Online Step Recognition, in: IEEE (Hg.): <i>2019 IEEE 17th International Conference on Industrial Informatics (INDIN)</i>, Piscataway, NJ , S. 296–302.","chicago-de":"Fullen, Marta, Alexander Maier, Arthur Nazarenko, Sascha Jenderny und Carsten Röcker. 2019. Machine Learning for Assistance Systems: Pattern-Based Approach to Online Step Recognition. In: <i>2019 IEEE 17th International Conference on Industrial Informatics (INDIN)</i>, hg. von IEEE, 296–302. Piscataway, NJ : IEEE. doi:<a href=\"https://doi.org/10.1109/INDIN41052.2019.8972122,\">10.1109/INDIN41052.2019.8972122,</a> .","bjps":"<b>Fullen M <i>et al.</i></b> (2019) Machine Learning for Assistance Systems: Pattern-Based Approach to Online Step Recognition. In IEEE (ed.), <i>2019 IEEE 17th International Conference on Industrial Informatics (INDIN)</i>. Piscataway, NJ : IEEE, pp. 296–302.","mla":"Fullen, Marta, et al. “Machine Learning for Assistance Systems: Pattern-Based Approach to Online Step Recognition.” <i>2019 IEEE 17th International Conference on Industrial Informatics (INDIN)</i>, edited by IEEE, IEEE, 2019, pp. 296–302, doi:<a href=\"https://doi.org/10.1109/INDIN41052.2019.8972122\">10.1109/INDIN41052.2019.8972122</a>.","chicago":"Fullen, Marta, Alexander Maier, Arthur Nazarenko, Sascha Jenderny, and Carsten Röcker. “Machine Learning for Assistance Systems: Pattern-Based Approach to Online Step Recognition.” In <i>2019 IEEE 17th International Conference on Industrial Informatics (INDIN)</i>, edited by IEEE, 296–302. Piscataway, NJ : IEEE, 2019. <a href=\"https://doi.org/10.1109/INDIN41052.2019.8972122\">https://doi.org/10.1109/INDIN41052.2019.8972122</a>.","short":"M. Fullen, A. Maier, A. Nazarenko, S. Jenderny, C. Röcker, in: IEEE (Ed.), 2019 IEEE 17th International Conference on Industrial Informatics (INDIN), IEEE, Piscataway, NJ , 2019, pp. 296–302.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Fullen, Marta</span> ; <span style=\"font-variant:small-caps;\">Maier, Alexander</span> ; <span style=\"font-variant:small-caps;\">Nazarenko, Arthur</span> ; <span style=\"font-variant:small-caps;\">Jenderny, Sascha</span> ; <span style=\"font-variant:small-caps;\">Röcker, Carsten</span>: Machine Learning for Assistance Systems: Pattern-Based Approach to Online Step Recognition. In: <span style=\"font-variant:small-caps;\">IEEE</span> (Hrsg.): <i>2019 IEEE 17th International Conference on Industrial Informatics (INDIN)</i>. Piscataway, NJ  : IEEE, 2019, S. 296–302"},"date_updated":"2023-03-15T13:49:51Z","year":2019,"user_id":"15514","date_created":"2021-01-06T13:59:10Z","corporate_editor":["IEEE"],"language":[{"iso":"eng"}],"place":"Piscataway, NJ ","author":[{"first_name":"Marta","full_name":"Fullen, Marta","last_name":"Fullen"},{"full_name":"Maier, Alexander","id":"11158","last_name":"Maier","first_name":"Alexander"},{"first_name":"Arthur","full_name":"Nazarenko, Arthur","last_name":"Nazarenko"},{"first_name":"Sascha","last_name":"Jenderny","full_name":"Jenderny, Sascha"},{"last_name":"Röcker","full_name":"Röcker, Carsten","id":"61525","first_name":"Carsten"}],"status":"public","type":"book_chapter","_id":"4312","page":"296 - 302","abstract":[{"lang":"eng","text":"Computer-aided assistance systems are entering the world of work and production. Such systems utilize augmented- and virtual-reality for operator training and live guidance as well as mobile maintenance and support. This is particularly important in the modern production reality of ever-changing products and `lot size one' customization of production.This paper focuses on the application of machine learning approach to extend the functionality of assistance systems. Machine learning provides tools to analyse large amounts of data and extract meaningful information. The goal here is to recognize the movement of an operator which would enable automatic display of instructions relevant to them.We present the challenges facing machine learning applications in human-centered assistance systems and a framework to assess machine learning approaches feasible for this scenario. The approach is assessed on a historical data set and then deployed in a work station for live testing. The post-hoc, or historical, analysis yields promising results. The ad-hoc, or live, analysis is a complex task and the results are affected by multiple factors, most of which are introduced by the human influence.The contribution of this paper is an approach to adapt state- of-the-art machine learning to operator movement recognition with a special focus on approaches to spatial time series data pre-processing. Presented experiment results validate the approach and show that it performs well in a real-world scenario."}]},{"editor":[{"last_name":"Teufel","full_name":"Teufel, Stephanie ","first_name":"Stephanie "},{"first_name":"Tjoa A ","last_name":"Min","full_name":"Min, Tjoa A "},{"full_name":"You, Ilsun ","last_name":"You","first_name":"Ilsun "},{"first_name":"Edgar ","last_name":"Weippl","full_name":"Weippl, Edgar "}],"abstract":[{"lang":"eng","text":"A major challenge in modern data-centric medicine is the increasing amount of time-dependent data, which requires efficient user-friendly solutions for dealing with such data. To create an effective and efficient knowledge discovery process, it is important to support common data manipulation tasks by creating quick, responsive and intuitive interaction methods. In this paper we describe some methods for interactive longitudinal data visualization with focus on the usage of mobile multi-touch devices as interaction medium, based on our design and development experiences. We argue that when it comes to longitudinal data this device category offers remarkable additional interaction benefits compared to standard point-and-click desktop computer devices. An important advantage of multi-touch devices arises when interacting with particularly large longitudinal data sets: Complex, coupled interactions such as zooming into a region and scrolling around almost simultaneously is more easily achieved with the possibilities of a multi-touch device than compared to a regular mouse-based interaction device."}],"volume":8708,"type":"conference","_id":"4371","page":"124 - 137","status":"public","author":[{"full_name":"Holzinger, Andreas","last_name":"Holzinger","first_name":"Andreas"},{"full_name":"Schwarz, Michael","last_name":"Schwarz","first_name":"Michael"},{"full_name":"Ofner, Bernhard","last_name":"Ofner","first_name":"Bernhard"},{"last_name":"Jeanquartier","full_name":"Jeanquartier, Fleur","first_name":"Fleur"},{"first_name":"Andre","full_name":"Calero-Valdez, Andre","last_name":"Calero-Valdez"},{"last_name":"Röcker","id":"61525","full_name":"Röcker, Carsten","first_name":"Carsten"},{"first_name":"Martina","last_name":"Ziefle","full_name":"Ziefle, Martina"}],"place":"Cham","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1"}],"date_created":"2021-01-14T10:13:18Z","user_id":"15514","year":2014,"date_updated":"2023-03-15T13:49:52Z","oa":"1","citation":{"havard":"A. Holzinger, M. Schwarz, B. Ofner, F. Jeanquartier, A. Calero-Valdez, C. Röcker, M. Ziefle, Towards Interactive Visualization of Longitudinal Data to Support Knowledge Discovery on Multi-Touch Tablet Computers, in: S. Teufel, T.A. Min, I. You, E. Weippl (Eds.),  Availability, Reliability, and Security in Information Systems , Springer, Cham, 2014: pp. 124–137.","ufg":"<b>Holzinger, Andreas et. al. (2014)</b>: Towards Interactive Visualization of Longitudinal Data to Support Knowledge Discovery on Multi-Touch Tablet Computers, in: Stephanie  Teufel et. al. (Hgg.): <i> Availability, Reliability, and Security in Information Systems </i> (=<i>Lecture Notes in Computer Science 8708</i>), Cham, S. 124–137.","mla":"Holzinger, Andreas, et al. “Towards Interactive Visualization of Longitudinal Data to Support Knowledge Discovery on Multi-Touch Tablet Computers.” <i> Availability, Reliability, and Security in Information Systems </i>, edited by Stephanie  Teufel et al., vol. 8708, Springer, 2014, pp. 124–37, doi:<a href=\"https://doi.org/10.1007/978-3-319-10975-6_9\">10.1007/978-3-319-10975-6_9</a>.","short":"A. Holzinger, M. Schwarz, B. Ofner, F. Jeanquartier, A. Calero-Valdez, C. Röcker, M. Ziefle, in: S. Teufel, T.A. Min, I. You, E. Weippl (Eds.),  Availability, Reliability, and Security in Information Systems , Springer, Cham, 2014, pp. 124–137.","ama":"Holzinger A, Schwarz M, Ofner B, et al. Towards Interactive Visualization of Longitudinal Data to Support Knowledge Discovery on Multi-Touch Tablet Computers. In: Teufel S, Min TA, You I, Weippl E, eds. <i> Availability, Reliability, and Security in Information Systems </i>. Vol 8708. Lecture Notes in Computer Science. Cham: Springer; 2014:124-137. doi:<a href=\"https://doi.org/10.1007/978-3-319-10975-6_9\">10.1007/978-3-319-10975-6_9</a>","chicago":"Holzinger, Andreas, Michael Schwarz, Bernhard Ofner, Fleur Jeanquartier, Andre Calero-Valdez, Carsten Röcker, and Martina Ziefle. “Towards Interactive Visualization of Longitudinal Data to Support Knowledge Discovery on Multi-Touch Tablet Computers.” In <i> Availability, Reliability, and Security in Information Systems </i>, edited by Stephanie  Teufel, Tjoa A  Min, Ilsun  You, and Edgar  Weippl, 8708:124–37. Lecture Notes in Computer Science. Cham: Springer, 2014. <a href=\"https://doi.org/10.1007/978-3-319-10975-6_9\">https://doi.org/10.1007/978-3-319-10975-6_9</a>.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Holzinger, Andreas</span> ; <span style=\"font-variant:small-caps;\">Schwarz, Michael</span> ; <span style=\"font-variant:small-caps;\">Ofner, Bernhard</span> ; <span style=\"font-variant:small-caps;\">Jeanquartier, Fleur</span> ; <span style=\"font-variant:small-caps;\">Calero-Valdez, Andre</span> ; <span style=\"font-variant:small-caps;\">Röcker, Carsten</span> ; <span style=\"font-variant:small-caps;\">Ziefle, Martina</span>: Towards Interactive Visualization of Longitudinal Data to Support Knowledge Discovery on Multi-Touch Tablet Computers. In: <span style=\"font-variant:small-caps;\">Teufel, S.</span> ; <span style=\"font-variant:small-caps;\">Min, T. A.</span> ; <span style=\"font-variant:small-caps;\">You, I.</span> ; <span style=\"font-variant:small-caps;\">Weippl, E.</span> (Hrsg.): <i> Availability, Reliability, and Security in Information Systems </i>, <i>Lecture Notes in Computer Science</i>. Bd. 8708. Cham : Springer, 2014, S. 124–137","apa":"Holzinger, A., Schwarz, M., Ofner, B., Jeanquartier, F., Calero-Valdez, A., Röcker, C., &#38; Ziefle, M. (2014). Towards Interactive Visualization of Longitudinal Data to Support Knowledge Discovery on Multi-Touch Tablet Computers. In S. Teufel, T. A. Min, I. You, &#38; E. Weippl (Eds.), <i> Availability, Reliability, and Security in Information Systems </i> (Vol. 8708, pp. 124–137). Cham: Springer. <a href=\"https://doi.org/10.1007/978-3-319-10975-6_9\">https://doi.org/10.1007/978-3-319-10975-6_9</a>","ieee":"A. Holzinger <i>et al.</i>, “Towards Interactive Visualization of Longitudinal Data to Support Knowledge Discovery on Multi-Touch Tablet Computers,” in <i> Availability, Reliability, and Security in Information Systems </i>, Fribourg, Switzerland, 2014, vol. 8708, pp. 124–137.","van":"Holzinger A, Schwarz M, Ofner B, Jeanquartier F, Calero-Valdez A, Röcker C, et al. Towards Interactive Visualization of Longitudinal Data to Support Knowledge Discovery on Multi-Touch Tablet Computers. In: Teufel S, Min TA, You I, Weippl E, editors.  Availability, Reliability, and Security in Information Systems . Cham: Springer; 2014. p. 124–37. (Lecture Notes in Computer Science; vol. 8708).","bjps":"<b>Holzinger A <i>et al.</i></b> (2014) Towards Interactive Visualization of Longitudinal Data to Support Knowledge Discovery on Multi-Touch Tablet Computers. In Teufel S et al. (eds), <i> Availability, Reliability, and Security in Information Systems </i>, vol. 8708. Cham: Springer, pp. 124–137.","chicago-de":"Holzinger, Andreas, Michael Schwarz, Bernhard Ofner, Fleur Jeanquartier, Andre Calero-Valdez, Carsten Röcker und Martina Ziefle. 2014. Towards Interactive Visualization of Longitudinal Data to Support Knowledge Discovery on Multi-Touch Tablet Computers. In: <i> Availability, Reliability, and Security in Information Systems </i>, hg. von Stephanie  Teufel, Tjoa A  Min, Ilsun  You, und Edgar  Weippl, 8708:124–137. Lecture Notes in Computer Science. Cham: Springer. doi:<a href=\"https://doi.org/10.1007/978-3-319-10975-6_9,\">10.1007/978-3-319-10975-6_9,</a> ."},"publisher":"Springer","intvolume":"      8708","series_title":"Lecture Notes in Computer Science","department":[{"_id":"DEP5023"}],"title":"Towards Interactive Visualization of Longitudinal Data to Support Knowledge Discovery on Multi-Touch Tablet Computers","publication_identifier":{"isbn":["978-3-319-10974-9"],"eisbn":["978-3-319-10975-6"]},"publication_status":"published","doi":"10.1007/978-3-319-10975-6_9","publication":" Availability, Reliability, and Security in Information Systems ","conference":{"start_date":"2014-09-08","location":"Fribourg, Switzerland","end_date":"2014-09-12","name":"5 International Cross-Domain Conference, CD-ARES 2014 and 4th International Workshop on Security and Cognitive Informatics for Homeland Defense, SeCIHD 2014"},"keyword":["Data Visualization","Longitudinal Data","Time Series","Multi-Touch","Mobile Computing"]}]