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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Published in | Inclusive Smart Cities and e-Health pp. 92 - 102 |
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Main Authors | , , |
Format | Book Chapter |
Language | English |
Published |
Cham
Springer International Publishing
2015
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Series | Lecture Notes in Computer Science |
Subjects | |
Online Access | Get full text |
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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. |
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ISBN: | 9783319193113 3319193112 |
ISSN: | 0302-9743 1611-3349 |
DOI: | 10.1007/978-3-319-19312-0_8 |