Smart home simulation using avatar control and probabilistic sampling

Jens Lundström, Jonathan Synnott, Eric Järpe, Chris Nugent

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Development, testing and validation of algorithms for smart home applications are often complex, expensive and tedious processes. Research on simulation of resident activity patterns in Smart Homes is an active research area and facilitates development of algorithms of smart home applications. However, the simulation of passive infrared (PIR) sensors is often used in a static fashion by generating equidistant events while an intended occupant is within sensor proximity. This paper suggests the combination of avatar-based control and probabilistic sampling in order to increase realism of the simulated data. The number of PIR events during a time interval is assumed to be Poisson distributed and this assumption is used in the simulation of Smart Home data. Results suggest that the proposed approach increase realism of simulated data, however results also indicate that improvements could be achieved using the geometric distribution as a model for the number of PIR events during a time interval.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages336-341
Number of pages6
DOIs
Publication statusE-pub ahead of print - 29 Jun 2015
EventThe 2nd International Workshop on Smart Environments: Closing the Loop, 2015 - St. Louis, MO, USA
Duration: 29 Jun 2015 → …

Workshop

WorkshopThe 2nd International Workshop on Smart Environments: Closing the Loop, 2015
Period29/06/15 → …

Fingerprint

Sampling
Infrared radiation
Proximity sensors
Sensors
Testing

Keywords

  • Avatars
  • Intelligent sensors
  • Smart homes
  • Data models
  • Software

Cite this

Lundström, Jens ; Synnott, Jonathan ; Järpe, Eric ; Nugent, Chris. / Smart home simulation using avatar control and probabilistic sampling. Unknown Host Publication. 2015. pp. 336-341
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title = "Smart home simulation using avatar control and probabilistic sampling",
abstract = "Development, testing and validation of algorithms for smart home applications are often complex, expensive and tedious processes. Research on simulation of resident activity patterns in Smart Homes is an active research area and facilitates development of algorithms of smart home applications. However, the simulation of passive infrared (PIR) sensors is often used in a static fashion by generating equidistant events while an intended occupant is within sensor proximity. This paper suggests the combination of avatar-based control and probabilistic sampling in order to increase realism of the simulated data. The number of PIR events during a time interval is assumed to be Poisson distributed and this assumption is used in the simulation of Smart Home data. Results suggest that the proposed approach increase realism of simulated data, however results also indicate that improvements could be achieved using the geometric distribution as a model for the number of PIR events during a time interval.",
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note = "Reference text: [1] UnitedNations, “World population ageing 2009,” United Nations, Economics and Social Affairs, Tech. Rep., 2009. [2] J. Synnott, L. Chen, C. Nugent, and G. Moore, “The creation of simulated activity datasets using a graphical intelligent environment simulation tool,” in Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE, Aug 2014, pp. 4143–4146. [3] S. Helal, J. W. Lee, S. Hossain, E. Kim, H. Hagras, and D. Cook, “Persim - simulator for human activities in pervasive spaces,” in Intelligent Environments (IE), 2011 7th International Conference on, July 2011, pp. 192–199. [4] M. Weiser, “The computer for the 21st century,” Scientific american, vol. 265, no. 3, pp. 94–104, 1991. [5] X. Hong, C. Nugent, M. Mulvenna, S. McClean, B. Scotney, and S. Devlin, “Evidential fusion of sensor data for activity recognition in smart homes,” Pervasive and Mobile Computing, vol. 5, no. 3, pp. 236–252, 2009. [6] S. S. Yau, S. K. Gupta, F. Karim, S. I. Ahamed, Y. Wang, and B. Wang, “Smart classroom: Enhancing collaborative learning using pervasive computing technology,” II American Society of Engineering Education (ASEE), 2003. [7] H. Schaffers, N. Komninos, M. Pallot, B. Trousse, M. Nilsson, and A. Oliveira, “Smart cities and the future internet: towards cooperation frameworks for open innovation,” in The future internet. Springer, 2011, pp. 431–446. [8] X. H. S. D. C.D. Nugent, M.D. Mulvenna, “Experiences in the development of a smart lab,” International Journal of Biomedical Engineering and Technology, vol. 2, no. 4, pp. 319–331, 2009. [9] M. Buchmayr, W. Kurschl, and J. Kng, “A simulator for generating and visualizing sensor data for ambient intelligence environments,” Procedia Computer Science, vol. 5, no. 0, pp. 90 – 97, 2011, the 2nd International Conference on Ambient Systems, Networks and Technologies (ANT-2011) / The 8th International Conference on Mobile Web Information Systems (MobiWIS 2011). [Online]. Available: http://www.sciencedirect.com/science/article/pii/S1877050911003395 [10] M. P. Poland, C. D. Nugent, H. Wang, and L. Chen, “Development of a smart home simulator for use as a heuristic tool for management of sensor distribution,” Technology and Health Care, vol. 17, no. 3, pp. 171–182, 2009. [11] K. McGlinn, E. O’Neill, A. Gibney, D. O’Sullivan, and D. Lewis, “Simcon: A tool to support rapid evaluation of smart building application design using context simulation and virtual reality.” J. UCS, vol. 16, no. 15, pp. 1992–2018, 2010. [12] A. Mendez-Vazquez, A. Helal, and D. Cook, “Simulating events to generate synthetic data for pervasive spaces,” in Workshop on Developing Shared Home Behavior Datasets to Advance HCI and Ubiquitous Computing Research. Citeseer, 2009. [13] H. Sakoe and S. Chiba, “Dynamic programming algorithm optimization for spoken word recognition,” Acoustics, Speech and Signal Proces",
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Lundström, J, Synnott, J, Järpe, E & Nugent, C 2015, Smart home simulation using avatar control and probabilistic sampling. in Unknown Host Publication. pp. 336-341, The 2nd International Workshop on Smart Environments: Closing the Loop, 2015, 29/06/15. https://doi.org/10.1109/PERCOMW.2015.7134059

Smart home simulation using avatar control and probabilistic sampling. / Lundström, Jens; Synnott, Jonathan; Järpe, Eric; Nugent, Chris.

Unknown Host Publication. 2015. p. 336-341.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - Development, testing and validation of algorithms for smart home applications are often complex, expensive and tedious processes. Research on simulation of resident activity patterns in Smart Homes is an active research area and facilitates development of algorithms of smart home applications. However, the simulation of passive infrared (PIR) sensors is often used in a static fashion by generating equidistant events while an intended occupant is within sensor proximity. This paper suggests the combination of avatar-based control and probabilistic sampling in order to increase realism of the simulated data. The number of PIR events during a time interval is assumed to be Poisson distributed and this assumption is used in the simulation of Smart Home data. Results suggest that the proposed approach increase realism of simulated data, however results also indicate that improvements could be achieved using the geometric distribution as a model for the number of PIR events during a time interval.

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KW - Data models

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