Standard
Activity playback modeling for smart home simulation. / Liu, S.
; Helal, Sumi; Lee, J.W.
13th International Conference on Smart Homes and Health Telematics, ICOST 2015. ed. / Antoine Geissbühler; Jacques Demongeot; Mounir Mokhtari; Bessam Abdulrazak ; Hamdi Aloulou. Cham: Springer, 2015. (Lecture Notes in Computer Science; Vol. 9102).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Liu, S
, Helal, S & Lee, JW 2015,
Activity playback modeling for smart home simulation. in A Geissbühler, J Demongeot, M Mokhtari, B Abdulrazak & H Aloulou (eds),
13th International Conference on Smart Homes and Health Telematics, ICOST 2015. Lecture Notes in Computer Science, vol. 9102, Springer, Cham.
https://doi.org/10.1007/978-3-319-19312-0_8APA
Liu, S.
, Helal, S., & Lee, J. W. (2015).
Activity playback modeling for smart home simulation. In A. Geissbühler, J. Demongeot, M. Mokhtari, B. Abdulrazak , & H. Aloulou (Eds.),
13th International Conference on Smart Homes and Health Telematics, ICOST 2015 (Lecture Notes in Computer Science; Vol. 9102). Springer.
https://doi.org/10.1007/978-3-319-19312-0_8Vancouver
Liu S
, Helal S, Lee JW.
Activity playback modeling for smart home simulation. In Geissbühler A, Demongeot J, Mokhtari M, Abdulrazak B, Aloulou H, editors, 13th International Conference on Smart Homes and Health Telematics, ICOST 2015. Cham: Springer. 2015. (Lecture Notes in Computer Science). Epub 2015 May 30. doi: 10.1007/978-3-319-19312-0_8
Author
Liu, S.
; Helal, Sumi ; Lee, J.W. /
Activity playback modeling for smart home simulation. 13th International Conference on Smart Homes and Health Telematics, ICOST 2015. editor / Antoine Geissbühler ; Jacques Demongeot ; Mounir Mokhtari ; Bessam Abdulrazak ; Hamdi Aloulou. Cham : Springer, 2015. (Lecture Notes in Computer Science).
Bibtex
@inproceedings{adc0f6856f0c4977b2befe76db8741c4,
title = "Activity playback modeling for smart home simulation",
abstract = "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. {\textcopyright} Springer International Publishing Switzerland 2015.",
keywords = "Activity playback modelling, Human activity simulation, Modeling, Smart homes, Health, Intelligent buildings, Models, Wireless telecommunication systems, Activity models, Human activities, Inherent variability, Playback model, Validation study, Visual simulation, Automation",
author = "S. Liu and Sumi Helal and J.W. Lee",
year = "2015",
doi = "10.1007/978-3-319-19312-0_8",
language = "English",
isbn = "9783319193113",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
editor = "Geissb{\"u}hler, {Antoine } and Demongeot, {Jacques } and Mounir Mokhtari and {Abdulrazak }, Bessam and Hamdi Aloulou",
booktitle = "13th International Conference on Smart Homes and Health Telematics, ICOST 2015",
}
RIS
TY - GEN
T1 - Activity playback modeling for smart home simulation
AU - Liu, S.
AU - Helal, Sumi
AU - Lee, J.W.
PY - 2015
Y1 - 2015
N2 - 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. © Springer International Publishing Switzerland 2015.
AB - 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. © Springer International Publishing Switzerland 2015.
KW - Activity playback modelling
KW - Human activity simulation
KW - Modeling
KW - Smart homes
KW - Health
KW - Intelligent buildings
KW - Models
KW - Wireless telecommunication systems
KW - Activity models
KW - Human activities
KW - Inherent variability
KW - Playback model
KW - Validation study
KW - Visual simulation
KW - Automation
U2 - 10.1007/978-3-319-19312-0_8
DO - 10.1007/978-3-319-19312-0_8
M3 - Conference contribution/Paper
SN - 9783319193113
T3 - Lecture Notes in Computer Science
BT - 13th International Conference on Smart Homes and Health Telematics, ICOST 2015
A2 - Geissbühler, Antoine
A2 - Demongeot, Jacques
A2 - Mokhtari, Mounir
A2 - Abdulrazak , Bessam
A2 - Aloulou, Hamdi
PB - Springer
CY - Cham
ER -
