Abstract
This paper presents a novel system, which uses a set of video cameras to support the manual annotation of object interaction and person to object interaction within smart environments. The DANTE (Dynamic ANnotation system for smart Environments) system uses two stereo-based cameras to monitor and track objects, which are tagged with inexpensive paper based fiducial markers. Offline, the DANTE annotation module allows users to navigate, frame-by-frame, through recorded sessions and to annotate interesting and relevant events. The generation of annotated datasets has significant utility within the domain of smart environments to support the development of data driven context-aware systems which require large training datasets. The current paper presents the rationale for this work, provides a technical description of the system and highlights its potential opportunities. Early experimental work, investigating a comparison with accelerometer based sensors is also briefly introduced.
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References
The Academy of Medical Sciences. Rejuvenating Ageing Research (September 2009), http://www.acmedsci.ac.uk/p99puid161.html/ (accessed July 2, 2010)
Nugent, C.D., Fiorini, P., Finlay, D.D., Tsumaki, Y., Prassler, E.: Home Automation as a means of independent living. IEEE Transactions on Automation Science and Engineering 5(1), 1–9 (2008)
Szewcyzk, S., Dwan, K., Minor, B., Swedlove, B., Cook, D.: Annotating smart environment sensor data for activity learning. Technol. Health Care 17 3, 161–169 (2009)
Intille, S., Nawyn, J., Logan, B., Abowd, G.: Developing shared home behaviour datasets to advance HCI and Ubiquitous compuitng research. In: Intille, S., Nawyn, J., Logan, B., Abowd, G. (eds.) Proceedings oh the 27th Annual Conference Extended Abstracts and Human Factors in Computing Systems, CHI 2009, Boston, MA, USA, April 04-09, pp. 4763–4766. ACM, New York (2009)
Cook, D., Schmitter-Edgecombe, M., Crandall, A., Sanders, C., Thomas, B.: Collecting and disseminating smart homes sensor data in the CASAS project. In: Proceedings of the CHI Workshop on Developing Shared Home Behavior Datasets to Advance HCI and Ubiquitous Computing Research (2009)
Coyle, L., Ye, J., McKeever, S., Knox, S., Stabeler, M., Dobson, S., Nixon, P.: Gathering Datasets for Activity Identification. In: Workshop on Developing Shared Home Behaviour Datasets to avdance HCI and Ubiquitous Computing Research at CHI 2009 (2009)
Logan, B., Healey, J., Philipose, M., Tapia, E.M., Intille, S.S.: A long-term evaluation of sensing modalities for activity recognition. In: Krumm, J., Abowd, G.D., Seneviratne, A., Strang, T. (eds.) UbiComp 2007. LNCS, vol. 4717, pp. 483–500. Springer, Heidelberg (2007)
van Kasteren, T., Noulas, A., Englebienne, G., Krose, B.: Accurate activity recognition in a home setting. In: Ubicomp 2008: Proceedings of the 10th International Conference on Ubiquitous Computing, pp. 1–9. ACM, New York (2008)
Wren, C., Munguia-Tapia, E.: Toward scalable activity recognition for sensor networks. In: Hazas, M., Krumm, J., Strang, T. (eds.) LoCA 2006. LNCS, vol. 3987, pp. 168–185. Springer, Heidelberg (2006)
Tapia, E.M., Intille, S.S., Larson, K.: Activity recognition in the home using simple and ubiquitous sensors. In: Ferscha, A., Mattern, F. (eds.) PERVASIVE 2004. LNCS, vol. 3001, pp. 158–175. Springer, Heidelberg (2004)
van Kasteren, T.L.M., Krose, B.J.A.: A sensing and annotation system for recording datasets from mutliple homes. In: Proceedings of the 27th Annual Conference Extended Abstracts and Human Factors in Computing Systems, CHI 2009, Boston, MA, USA, April 04-09, pp. 4763–4766. ACM, New York (2009)
Hong, X., Nugent, C., Finlay, D., Chen, L., Davies, R., Wang, H., Donnelly, M., Zheng, H., Mulvenna, M.: Open Home: Approaches to Constructing Sharable Datasets within Smart Homes. In: Proceedings of the 27th Annual Conference Extended Abstracts and Human Factors in Computing Systems, CHI 2009, Boston, MA, USA, April 04-09, pp. 4763–4766. ACM, New York (2009)
Nugent, C.D., Mulvenna, M.D., Hong, X., Devlin, S.: Experiences in the development of a smart lab. International Journal of Biomedical Engineering and Technology 2(4), 319–331 (2009)
Claron Technology Inc., “Micron Tracker” (2009), http://www.clarontech.com/measurement.php (accessed July 14, 2010)
Magherini, T., Parente, G., Nugent, C.D., Donnelly, M.P., Vicario, E., Cruciani, F., Paggetti, C.: Temporal logic Bounded Model-Checking for Recognition of Activities of Daily Living. Transaction on Biomedical Engineering Letters (July 2010) (submitted)
Sun Microsystem Laboratories, “Sun SPOT World”, http://sunspotworld.com/ (accessed: July 14, 2010)
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© 2011 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Cruciani, F., Donnelly, M.P., Nugent, C.D., Parente, G., Paggetti, C., Burns, W. (2011). DANTE: A Video Based Annotation Tool for Smart Environments. In: Par, G., Morrow, P. (eds) Sensor Systems and Software. S-CUBE 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 57. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23583-2_13
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DOI: https://doi.org/10.1007/978-3-642-23583-2_13
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