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  • Bäckström, Mattias
    et al.
    Örebro University, School of Science and Technology.
    Sartz, Lotta
    Örebro University, School of Science and Technology. Bergskraft Bergslagen AB, Kumla, Sweden.
    Sädbom, Stefan
    Bergskraft Bergslagen AB, Kumla, Sweden.
    Mining Waste as an Exploration Tool and Secondary Resource2017In: Mine Water & Circular Economy / [ed] Wolkersdorfer, C., Sartz, L., Sillanpää, M. and Häkkinen, A, Lappeenranta, Finland: Lappeenranta University of Technology , 2017, Vol. II, p. 964-971Conference paper (Refereed)
    Abstract [en]

    There is today no overall information about how much mining waste there is in Sweden and what it contains. This project focused on samples from waste rock, tailings and slag from the historical mining region Bergslagen, Sweden. Modern dissolution and analytical methods were used in order to determine approximately 50 elements in the samples. Modern analytical data for the historical mining waste is useful as an exploration tool and can provide information about remaining or new resources underground. Results show that there is a potential for recovery of critical elements from mining waste as well as dealing with environmental problems.

  • Åhlgren, Kristina
    et al.
    Örebro University, School of Science and Technology.
    Sjöberg, Viktor
    Örebro University, School of Science and Technology.
    Sartz, Lotta
    Örebro University, School of Science and Technology. Bergskraft Bergslagen AB, Kumla, Sweden.
    Bäckström, Mattias
    Örebro University, School of Science and Technology.
    Understanding Groundwater Composition at Kvarntorp, Sweden, from Leaching Tests and Multivariate Statistics2017In: Mine Water & Circular Economy / [ed] Wolkersdorfer, C., Sartz, L., Sillanpää, M. and Häkkinen, A, Lappeenranta, Finland: Lappeenranta University of Technology , 2017, Vol. II, p. 770-776Conference paper (Refereed)
    Abstract [en]

    Due to oil production from alum shale, the Kvarntorp area is heavily polluted. A waste deposit consisting mostly of shale ash and fines is of important concern. Groundwater shows that parameters such as pH, U, V, Ni and Mo are different at different localities around the deposit. Leaching tests indicate that burned and unburned shale residues leave different signatures on leachates. Principal component analysis of groundwater and leaching tests suggest that ground-water is affected by the waste deposit and that it is more influenced by shale ash than by fines.

  • Rudenko, Andrey
    et al.
    Örebro University, School of Science and Technology. Bosch Corporate Research, Stuttgart, Germany.
    Palmieri, Luigi
    Bosch Corporate Research, Stuttgart, Germany.
    Lilienthal, Achim
    Örebro University, School of Science and Technology.
    Arras, Kai O.
    Bosch Corporate Research, Stuttgart, Germany.
    Human Motion Prediction under Social Grouping Constraints2018In: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, 2018, p. 3358-3364Conference paper (Refereed)
    Abstract [en]

    Accurate long-term prediction of human motion inpopulated spaces is an important but difficult task for mobile robots and intelligent vehicles. What makes this task challenging is that human motion is influenced by a large variety offactors including the person’s intention, the presence, attributes, actions, social relations and social norms of other surrounding agents, and the geometry and semantics of the environment. In this paper, we consider the problem of computing human motion predictions that account for such factors. We formulate the task as an MDP planning problem with stochastic policies and propose a weighted random walk algorithm in which each agent is locally influenced by social forces from other nearby agents. The novelty of this paper is that we incorporate social grouping information into the prediction process reflecting the soft formation constraints that groups typically impose to their members’ motion. We show that our method makes more accurate predictions than three state-of-the-art methods in terms of probabilistic and geometrical performance metrics.

  • Fan, Hongqi
    et al.
    National University of Defense Technology, Changsa, P. R. China.
    Lu, Dawei
    National University of Defense Technology, Changsa, P. R. China.
    Kucner, Tomasz Piotr
    Örebro University, School of Science and Technology.
    Magnusson, Martin
    Örebro University, School of Science and Technology.
    Lilienthal, Achim
    Örebro University, School of Science and Technology.
    2D Spatial Keystone Transform for Sub-Pixel Motion Extraction from Noisy Occupancy Grid Map2018In: Proceedings of 21st International Conference on Information Fusion (FUSION), 2018, p. 2400-2406Conference paper (Refereed)
    Abstract [en]

    In this paper, we propose a novel sub-pixel motionextraction method, called as Two Dimensional Spatial KeystoneTransform (2DS-KST), for the motion detection and estimationfrom successive noisy Occupancy Grid Maps (OGMs). It extendsthe KST in radar imaging or motion compensation to 2Dreal spatial case, based on multiple hypotheses about possibledirections of moving obstacles. Simulation results show that 2DSKSThas a good performance on the extraction of sub-pixelmotions in very noisy environment, especially for those slowlymoving obstacles.

  • Schindler, Maike
    et al.
    University of Cologne, Department of Special Education.
    Lilienthal, Achim
    Örebro University, School of Science and Technology.
    Eye-Tracking For Studying Mathematical Difficulties: Also In Inclusive Settings2018In: Proceedings of Annual Meeting of the International Group for the Psychology of Mathematics Education (PME-42), Umeå., Sweden: PME , 2018, Vol. 4, p. 115-122Conference paper (Refereed)
    Abstract [en]

    Eye-Tracking (ET) is a promising tool for mathematics education research. Interest is fue­led by recent theoretical and technical developments, and the potential to identify strategies students use in mathematical tasks. This makes ET in­teresting for studying students with mathematical difficulties (MD), also with a view on inclusive settings. We present a systematic analysis of the opportunities ET may hold for understanding strategies of students with MD. Based on an empirical study with 20 fifth graders (10 with MD), we illustrate that and why ET offers opportunities especially for students with MD and describe main advantages. We also identify limitations of think aloud protocols, using ET as validation method, and present characteristics of students’ strategies in tasks on quantity recognition in structured whole number representations.

  • Schindler, Maike
    et al.
    University of Cologne, Department of Special Education, Cologne, Germany.
    Schindler, Florian
    Dortmund University, Dortmund, Germany.
    Lilienthal, Achim
    Örebro University, School of Science and Technology.
    Bader, Eveline
    University of Cologne, Cologne, Germany.
    Vorgehensweisen bei der Anzahlerfassung am 100er Feld und 100er Rahmen: Eine Eye-Tracking Studie bei Kindern mit und ohne Rechenschwierigkeiten sowie sonderpädagogischem Unterstützungsbedarf2018In: Beiträge zum Mathematikunterricht 2018 / [ed] Fachgruppe Didaktik der Mathematik der Universität Paderborn, Münster, Germany: WTM Verlag, 2018, p. 1591-1594Conference paper (Refereed)
    Abstract [de]

    Arbeitsmittel werden im Mathematikunterricht zum Aufbau von Zahl- und Operationsvorstellungen genutzt. Gerade für Kinder mit Schwierigkeiten im strukturierten Erfassen von Anzahlen undunzureichenden Zahl- und Operationsvorstellungen ist die Nutzung von Darstellungen zentral. Wie gehenjedoch Kinder mit Rechenschwierigkeiten bei der Anzahlerfassung in unterschiedlichen Darstellungenvor und inwiefern erfolgt ein Transfer zwischen strukturell ähnlichen Darstellungen? Die vorgestellteStudie untersucht Vorgehensweisen bei der Anzahlerfassung am 100er Feld und 100er Rahmen bei 20Kindern (davon 11 mit Rechenschwierigkeiten und z.T. sonderpädagogischem Unterstützungsbedarf) zu Beginn der fünften Klasse. Eye-Tracking ermöglicht dabei neue Erkenntnisse gerade bei Kindern, die Schwierigkeiten haben, ihre Vorgehensweisen zu beschreiben. Die Ergebnisse liefern Einblicke in mathematische Kompetenzen und Schwierigkeiten der Kinder sowie die Unterschiede in der Nutzung derbeiden Darstellungen.

  • Lindner, Helen Y
    et al.
    Örebro University, School of Health Sciences.
    Lilienthal, Achim
    Örebro University, School of Science and Technology.
    Karlsson, Gunilla
    Adult rehabilitation centre, Region Örebro County, Örebro, Sweden.
    Lundqvist, Lars-Olov
    Örebro University, School of Health Sciences. University Health Care Research Centre.
    Eye gaze technology to gain access to cognitive processes in individuals with profound intellectual and physical disabilities (PIPD)2018Conference paper (Other academic)
    Abstract [en]

    Objective: Individuals with profound intellectual and physical disabilities (PIPD) often cannot speak for themselves and do things for themselves. Their level of cognitive abilities is unclear. Eye gaze technology has the potential to gain access to cognitive processes and eventually enable communication among these individuals.

    Method: Six individuals with PIPD were given multiple sessions of eye gaze training (9-36 sessions) between February 17 to October 18. They used a screen eye-tracker (Tobii pc eye-mini) to control the objects/icons on the screen. An eye-gaze training program with different levels of activities was used to teach cause and effect, give appropriate response, explore the whole screen, target specific objects, choosing objects AND turn taking.

  • Schindler, Maike
    et al.
    University of Cologne, Department of Special Education.
    Lilienthal, Achim
    Örebro University, School of Science and Technology.
    Method and Theory in Their Interplay: Using Eye-Tracking for Investigating Mathematical Learning2018In: Dialogue between ontology and epistemology: New perspectives on theory and methodology in research on learning and education, 2018Conference paper (Refereed)
    Abstract [en]

    In this presentation, we discuss the interplay between theory and one particular method of data collection: eye-tracking. Eye-tracking promises various opportunities for research, in particular for studying students’ attention, strategies, and even collaboration in so-called dual eye-tracking (DUET), and has gained increased interest as a research method. Still, researchers acknowledge that eye-tracking data interpretation is difficult and ambiguous and often needs to be complemented with other sources. In this talk, we discuss two studies in which we aimed for a triangulation of eye-tracking with other research methods. In both studies, ontological and epistemological questions are intertwined.