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 annotations. The concept has received feedback from 19 international researchers who are involved in Intelligent Environments research. This feedback 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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Invest Northern Ireland is acknowledged for supporting this project under the Competence Centre Programme Grant RD0513853 - Connected Health Innovation Centre.
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Synnott, J., Gabrielli, C., Nugent, C. (2016). The Intelligent Environment Experiment Assistance Tool to Facilitate Partial Environment Simulation and Real-Time Activity Annotation. In: García, C., Caballero-Gil, P., Burmester, M., Quesada-Arencibia, A. (eds) Ubiquitous Computing and Ambient Intelligence. IWAAL AmIHEALTH UCAmI 2016 2016 2016. Lecture Notes in Computer Science(), vol 10070. Springer, Cham. https://doi.org/10.1007/978-3-319-48799-1_11
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DOI: https://doi.org/10.1007/978-3-319-48799-1_11
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