The Intelligent Environment Experiment Assistance Tool to Facilitate Partial Environment Simulation and Real-Time Activity Annotation

Jonathan Synnott, Celeste Gabrielli, Chris Nugent

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The development of novel activity recognition approaches requires access to high quality, annotated datasets. When designing an experiment, researchers may not have access to the complete set of equivalent sensors required. A viable solution to this barrier has been the use of completely simulated environments. Nevertheless, an optimal solution may be to allow researchers to use the equipment they do have, and simulate missing sensors. This paper aims to address this scenario through the proposal of the Intelligent Environment Experiment Assistance Tool. The approach facilitates real-time partial simulation of an environment in addition to a real-time annotation component which aims to maximize the accuracy and consistency of dataset an-notations. The concept has received feedback from 19 international re-searchers who are involved in Intelligent Environments research. This feed-back provides an insight into the prevalence, type and impact of limitations in physical IE usage. Additionally, 84.3% of the researchers stated that the real-time annotation would be very useful or quite useful, and 52.6% stated that the partial simulation component would be very useful or quite useful.
LanguageEnglish
Title of host publicationUbiquitous Computing and Ambient Intelligence (LNCS)
Pages91-97
Volume10070
DOIs
Publication statusE-pub ahead of print - 3 Nov 2016

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Experiments

Keywords

  • Dataset annotation
  • Intelligent environments
  • Simulation

Cite this

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title = "The Intelligent Environment Experiment Assistance Tool to Facilitate Partial Environment Simulation and Real-Time Activity Annotation",
abstract = "The development of novel activity recognition approaches requires access to high quality, annotated datasets. When designing an experiment, researchers may not have access to the complete set of equivalent sensors required. A viable solution to this barrier has been the use of completely simulated environments. Nevertheless, an optimal solution may be to allow researchers to use the equipment they do have, and simulate missing sensors. This paper aims to address this scenario through the proposal of the Intelligent Environment Experiment Assistance Tool. The approach facilitates real-time partial simulation of an environment in addition to a real-time annotation component which aims to maximize the accuracy and consistency of dataset an-notations. The concept has received feedback from 19 international re-searchers who are involved in Intelligent Environments research. This feed-back provides an insight into the prevalence, type and impact of limitations in physical IE usage. Additionally, 84.3{\%} of the researchers stated that the real-time annotation would be very useful or quite useful, and 52.6{\%} stated that the partial simulation component would be very useful or quite useful.",
keywords = "Dataset annotation, Intelligent environments, Simulation",
author = "Jonathan Synnott and Celeste Gabrielli and Chris Nugent",
note = "Reference text: 1. Helal, S., Kim, E., Hossain, S. (2010) Scalable Approaches to Activity Recognition Research. Paper presented at Pervasive 2010, Helsinki, Finland, 17-20 May 2010. 2. Synnott, J., Nugent, C., Jeffers, P. (2015) Simulation of Smart Home Activity Datasets. Sensors. 15:14162–14179. 3. Helal, S., Lee, J.W., Hossain, S., Kim, E., Hagras, H., Cook, D. (2011) Persim - Simulator for Human Activities in Pervasive Spaces. Paper presented at the 7th International Conference on Intelligent Environments, Nottingham, UK, 25-28 July 2011. 4. Lee, J.W., Cho, S., Liu, S., Cho, K., Helal, S. (2015) Persim 3D: Context-Driven Simulation and Modeling of Human Activities in Smart Spaces. IEEE Trans. Autom. Sci. Eng. 12:1243–1256. 5. Synnott, J., Chen, L., Nugent, C.D., Moore, G. (2014) The creation of simulated activity datasets using a graphical intelligent environment simulation tool. Paper presented at the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, IL, USA, 26-30 August 2014. 6. Cruciani, F., Donnelly, M.P., Nugent, C.D., Parente, G., Paggetti, C., Burns, W. (2011) DANTE: A Video Based Annotation Tool for Smart Environments. Paper presented at the 2nd International ICST Conference on Wireless Sensor Network Systems and Software, Miami, FL, USA, 13-14 December 2010. 7. Nugent, C., Mulvenna, M., Hong, X., Devlin, S. (2009) Experiences in the development of a Smart Lab, International Journal of Biomedical Engineering and Technology, 2(4):319-331.",
year = "2016",
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doi = "10.1007/978-3-319-48799-1_11",
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isbn = "978-3-319-48799-1",
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The Intelligent Environment Experiment Assistance Tool to Facilitate Partial Environment Simulation and Real-Time Activity Annotation. / Synnott, Jonathan; Gabrielli, Celeste; Nugent, Chris.

Ubiquitous Computing and Ambient Intelligence (LNCS). Vol. 10070 2016. p. 91-97.

Research output: Chapter in Book/Report/Conference proceedingChapter

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N2 - The development of novel activity recognition approaches requires access to high quality, annotated datasets. When designing an experiment, researchers may not have access to the complete set of equivalent sensors required. A viable solution to this barrier has been the use of completely simulated environments. Nevertheless, an optimal solution may be to allow researchers to use the equipment they do have, and simulate missing sensors. This paper aims to address this scenario through the proposal of the Intelligent Environment Experiment Assistance Tool. The approach facilitates real-time partial simulation of an environment in addition to a real-time annotation component which aims to maximize the accuracy and consistency of dataset an-notations. The concept has received feedback from 19 international re-searchers who are involved in Intelligent Environments research. This feed-back provides an insight into the prevalence, type and impact of limitations in physical IE usage. Additionally, 84.3% of the researchers stated that the real-time annotation would be very useful or quite useful, and 52.6% stated that the partial simulation component would be very useful or quite useful.

AB - The development of novel activity recognition approaches requires access to high quality, annotated datasets. When designing an experiment, researchers may not have access to the complete set of equivalent sensors required. A viable solution to this barrier has been the use of completely simulated environments. Nevertheless, an optimal solution may be to allow researchers to use the equipment they do have, and simulate missing sensors. This paper aims to address this scenario through the proposal of the Intelligent Environment Experiment Assistance Tool. The approach facilitates real-time partial simulation of an environment in addition to a real-time annotation component which aims to maximize the accuracy and consistency of dataset an-notations. The concept has received feedback from 19 international re-searchers who are involved in Intelligent Environments research. This feed-back provides an insight into the prevalence, type and impact of limitations in physical IE usage. Additionally, 84.3% of the researchers stated that the real-time annotation would be very useful or quite useful, and 52.6% stated that the partial simulation component would be very useful or quite useful.

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