Abstract
Microsoft Kinect has attracted great attention from research communities, resulting in numerous interaction and entertainment applications. However, to the best of our knowledge, there does not exist an ontology for 3D depth sensors. Including automated semantic reasoning in these settings would open the doors for new research, making possible not only to track but also understand what the user is doing. We took a first step towards this new paradigm and developed a 3D depth sensor ontology, modelling different features regarding user movement and object interaction. We believe in the potential of integrating semantics into computer vision. As 3D depth sensors and ontology-based applications improve further, the ontology could be used, for instance, for activity recognition, together with semantic maps for supporting visually impaired people or in assistance technologies, such as remote rehabilitation.
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References
Weiser, M.: The computer for the twenty-first century. Scientific American 165, 94–104 (1991)
Gómez-Romero, J., Patricio, M.A., Garcìa, J., Molina, J.M.: Ontology-based context representation and reasoning for object tracking and scene interpretation in video. Expert Systems with Applications 38(6), 7494–7510 (2011)
Chen, L., Nugent, C.D.: Ontology-based activity recognition in intelligent pervasive environments. International Journal of Web Information Systems (IJWIS) 5(4), 410–430 (2009)
Kim, E., Helal, S., Cook, D.: Human activity recognition and pattern discovery. IEEE Pervasive Computing 9(1), 48–53 (2010)
Henry, P., Krainin, M., Herbst, E., Ren, X., Fox, D.: RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environments. The International Journal of Robotics Research 31(5), 647–663 (2012)
Kinect@Home Project, KTH, http://www.kinectathome.com (2012)
Izadi, S., Kim, D., Hilliges, O., Molyneaux, D., Newcombe, R., Kohli, P., Shotton, J., Hodges, S., Freeman, D., Davison, A., Fitzgibbon, A.: KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera. In: Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology, UIST 2011, pp. 559–568 (2011)
d‘Aquin, M., Noy, N.F.: Where to publish and find ontologies? a survey of ontology libraries. Web Semantics: Science, Services and Agents on the World Wide Web 11, 96–111 (2012)
Foukarakis, M.: Informational system for managing photos and spatial information using sensors, ontologies and semantic maps. PhD thesis, Technical University of Crete (2009)
Kinect for Windows, http://www.microsoft.com/en-us/kinectforwindows/develop/
Hudelot, C., Atif, J., Bloch, I.: Fuzzy spatial relation ontology for image interpretation. Fuzzy Sets Syst. 159(15), 1929–1951 (2008)
Suárez-Figueroa, M.C.: NeOn Methodology for building ontology networks: specification, scheduling and reuse. PhD thesis, Universidad Politécnica de Madrid (2010)
Ismail, A.A., Florea, A.M.: Multimodal indoor tracking of a single elder in an AAL environment. In: 5th International Symposium on Ambient Intelligence, pp. 137–145 (2013)
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Díaz Rodríguez, N., Wikström, R., Lilius, J., Cuéllar, M.P., Delgado Calvo Flores, M. (2013). Understanding Movement and Interaction: An Ontology for Kinect-Based 3D Depth Sensors. In: Urzaiz, G., Ochoa, S.F., Bravo, J., Chen, L.L., Oliveira, J. (eds) Ubiquitous Computing and Ambient Intelligence. Context-Awareness and Context-Driven Interaction. Lecture Notes in Computer Science, vol 8276. Springer, Cham. https://doi.org/10.1007/978-3-319-03176-7_33
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DOI: https://doi.org/10.1007/978-3-319-03176-7_33
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