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Unsupervised Grouping of Moving Objects Based on Agglomerative Hierarchical Clustering

Open Access
|Dec 2016

References

  1. M.R.Addlesee, S. Hodges, J. Newman, P. Steggles, and A. Ward, “Implementing a Sentient Computing System”, IEEE Computer, 34 (8), (2001), 50-56.10.1109/2.940013
  2. M. Beigl, H.W. Gellersen, and A.Schmidt, “MediaCups: Experience with Design and Use of Computer-Augmented Everyday Objects”, Computer Networks, 35 (4), (2001), 401-409.
  3. D.Bichler, G.Stromberg, M.Huemer, and M.Löw, “Key generation based on acceleration data of shaking processes”, Proceedings of the 9th International Conference on Ubiquitous Computing (Ubicomp2007), pp. 304-317, 2007.10.1007/978-3-540-74853-3_18
  4. S.Bosch, R.Marin-Merianu, P.Havinga, A.Horst, M.Marin-Perianu, and A.Vasilescu, “A study on automatic recognition of object use exploiting motion correlation of wireless sensors”, Personal and Ubiquitous Computing, 16 (7), (2012), pp. 875-895.
  5. W.Brunette, C.Hartung, B.Nordstrom, and G.Borriello. “Proximity Interactions between Wireless Sensors and their Application”, Proceedings of the Second ACM International Workshop on Wireless Sensor Networks and Applications (WSNA 2003), pp. 30-37, 2003.10.1145/941350.941356
  6. J.T. Bryant, H.W. Wevers, and P.J. Lowe, “Methods of data smoothing for instantaneous centre of rotation measurements”, Medical and Biological Engineering and Computing, 22(6), (1984), pp.597-602.
  7. A. Dey, “Providing Architectural Support for Building Context-Aware Applications”, PhD Thesis. Georgia Institute of Technology, 2000.
  8. R.O.Duda, P.E.Hart and D.G.Stork, “Pattern Classification - Second Edition –”, John Wiley & Sons, 2001.
  9. C.Efstratiou, N.Davies, G.Kortuem, J.Finney, R.Hooper, and M.Lowton, “Experiences of designing and deploying intelligent sensor nodes to monitor hand-arm vibrations in the field”, Proceedings of the 5th International Conference on Mobile Systems, Applications and Services (MobiSys’07), pp. 127-138, 2007.10.1145/1247660.1247677
  10. K. Fujinami and T. Nakajima, “Sentient Artefact: Acquiring User’s Context Through Daily Objects”, Proceedings of the 2nd International Symposium on Ubiquitous Intelligence and Smart Worlds (UISW2005), pp. 335-344, 2005.10.1007/11596042_35
  11. K.Fujinami and S. Pirttikangas, “Kuka: An Architecture for Associating an Augmented Artefact with its User using Wearable Sensors”, Proceedings of IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC2008), pp.154-161, 2008.10.1109/SUTC.2008.42
  12. K.Fujinami and S.Pirttikangas, “A Study on a Correlation Coefficient to associate an Object with its User”, Proceedings of the 3rd IET International Conference on Intelligent Environment (IE07), pp. 288-295, 2007.10.1049/cp:20070383
  13. L.E. Holmquist, F.Mattern, B.Schiele, P.Alahuhta, M.Beigl, and H.-W. Gellersen, “Smart-Its Friends: A Technique for Users to Easily Establish Connections between Smart Artefacts”, Lecture Notes in Computer Science 2201 (Ubicomp2001), pp. 116-22, 2001.10.1007/3-540-45427-6_10
  14. K.Kunze, P.Lukowicz, H.Junker, and G.Tröster, “Where am I: Recognizing On-body Positions of Wearable Sensors”, Proceedings of International Workshop on Location and Context-Awareness (LoCA 2005), LNCS 3479, pp. 264-2275, 2005.10.1007/11426646_25
  15. J.Lester, B.Hannaford, and G.Borriello, “Are You With Me? - Using Accelerometers to Determine if Two Devices are Carried by the Same Person”, Proceedings of International Conference on Pervasive Computing (Pervasive 2004), pp. 33-50, 2004.10.1007/978-3-540-24646-6_3
  16. R.Marin-Perianu, C.Lombriser, P.J.M. Havinga, H.Scholten, and G.Tröster, “Tandem: A context-aware method for spontaneous clustering of dynamic wireless sensor nodes”, Proceedings of the 1st International Conference on the Internet of Things (IOT2008), pp. 341359, 2008.
  17. R.Marin-Perianu, M.Marin-Perianu, P.J.M. Havinga, and H.Scholten, “Movement-based group awareness with wireless sensor networks”, Proceedings of the 5th International Conference on Pervasive Computing (Pervasive2007), pp. 298-315, 2007.10.1007/978-3-540-72037-9_18
  18. R.Mayrhofer and H.Gellersen, “Shake well before use: Intuitive and secure pairing of mobile devices”, IEEE Transactions on Mobile Computing, 8(6), (2009), pp.792-806.
  19. M.Philipose, K.P. Fishkin, M.Perkowitz, D.J. Patterson, D.Fox, H.Kautz, and D.Hähnel, “Inferring Activities from Interactions with Objects”, IEEE Pervasive Computing, 3:50-57, 2004.10.1109/MPRV.2004.7
  20. A.R.Rocha, L.Pirmez, F.C.Delicato, E.Lemos, I.Santos, D.G.Gomes, and J.N.Souza, “WSNs clustering based on semantic neighborhood relationships”, Computer Networks, 56(5), 2012, pp. 1627-1645.10.1016/j.comnet.2012.01.014
  21. D.Roggen, N.B. Bharatula, M.Stäger, P.Lukowicz, and G.Tröster, “From Sensors to Miniature Networked SensorButtons, Proceedings of the 3rd International Conference on Networked Sensing Systems (INSS’06), pp. 119-122, 2006.
  22. H. Scholten and P. Bakker, “Opportunistic sensing in train safety systems”, International Journal on Advances in Networks and Services, Vol. 4, No. 3-4, (2011), pp. 353-362.
  23. Sun SPOT World, http://sunspotdev.org/ (accessed: May 2016)
  24. H.Yüzugüzel, J. Niemi, S. Kiranyaz, and M. Gabbouj, “ShakeMe: Key Generation from Shared Motion”, Proceedings of the 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM), pp. 2130-2133, 2015.
  25. J.H. Ward, “Hierarchical groupings to optimize an objective function”, Journal of the American Statistical Association, 58(301), pp. 236-244, 1963.10.1080/01621459.1963.10500845
Language: English
Page range: 2276 - 2296
Submitted on: Aug 17, 2016
Accepted on: Oct 30, 2016
Published on: Dec 1, 2016
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2016 Kaori Fujinami, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.