Activity Playback Modeling for Smart Home Simulation

Simulation of human activities in smart spaces is becoming increasingly important due to the growing demands on datasets that captures user-technology interactions. Such datasets are critical to the success of human-centric research that relies on understanding user actions, activities and behavior...

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Bibliographic Details
Published inInclusive Smart Cities and e-Health pp. 92 - 102
Main Authors Liu, Sirui, Helal, Sumi, Lee, Jae Woong
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing 2015
SeriesLecture Notes in Computer Science
Subjects
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Summary:Simulation of human activities in smart spaces is becoming increasingly important due to the growing demands on datasets that captures user-technology interactions. Such datasets are critical to the success of human-centric research that relies on understanding user actions, activities and behavior in a given situation and space. But most existing activity models have been designed for the purpose of recognition and are not specifically optimized for visual simulation (playback) or for dataset generation. To address this limitation we propose an activity playback model and associated algorithms to facilitate activity simulation with high degree of realism and with inherent variability that mimics the human nature of performing the same activity variably. We present the activity playback model, algorithms, and a validation study to assess the realism of our approach.
ISBN:9783319193113
3319193112
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-19312-0_8