13. Renoux, J., Klügl, F.: Simulating daily activities in a smart home for data generation. In:
Proceedings of Conference on Winter Simulation (WSC2018), Gothenburg, pp. 798–809
(2018)
14. Bouchard, B., Gaboury, S., Bouchard, K., Francillette, Y.: Modeling human activities using
behaviour trees in smart homes. In: Proceedings of 11th Conference on PErvasive
Technologies Related to Assistive Environments (PETRA), Corfu, pp. 67–74 (2018)
15. Mshali, H., Lemlouma, T., Magoni, D.: Context-aware adaptive framework for e-health
monitoring. In: IEEE International Conference on Data Science and Data Intensive Systems,
Sydney (2015)
16. Lee, W., et al.: Automatic agent generation for IoT-based smart house simulator.
Neurocomputing 209, 14–24 (2016)
17. https://github.com/Idontwan/Activity-Schedule-Generator/tree/master/Schedules
18. Gochoo, M., Tan, T., Velusamy, V., Liu, S., Bayanduuren, D., Huang, S.: Device-free nonprivacy invasive classification of elderly travel patterns in a smart house using PIR sensors
and DCNN. IEEE Sens. J. 18(1), 390–400 (2018). https://doi.org/10.1109/JSEN.2017.
2771287
Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0
International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing,
adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons
license and indicate if changes were made.
The images or other third party material in this chapter are included in the chapter's Creative
Commons license, unless indicated otherwise in a credit line to the material. If material is not
included in the chapter's Creative Commons license and your intended use is not permitted by
statutory regulation or exceeds the permitted use, you will need to obtain permission directly
from the copyright holder.
Automatic Daily Activity Schedule Planning for Simulating Smart House
183
Proceedings of Conference on Winter Simulation (WSC2018), Gothenburg, pp. 798–809
(2018)
14. Bouchard, B., Gaboury, S., Bouchard, K., Francillette, Y.: Modeling human activities using
behaviour trees in smart homes. In: Proceedings of 11th Conference on PErvasive
Technologies Related to Assistive Environments (PETRA), Corfu, pp. 67–74 (2018)
15. Mshali, H., Lemlouma, T., Magoni, D.: Context-aware adaptive framework for e-health
monitoring. In: IEEE International Conference on Data Science and Data Intensive Systems,
Sydney (2015)
16. Lee, W., et al.: Automatic agent generation for IoT-based smart house simulator.
Neurocomputing 209, 14–24 (2016)
17. https://github.com/Idontwan/Activity-Schedule-Generator/tree/master/Schedules
18. Gochoo, M., Tan, T., Velusamy, V., Liu, S., Bayanduuren, D., Huang, S.: Device-free nonprivacy invasive classification of elderly travel patterns in a smart house using PIR sensors
and DCNN. IEEE Sens. J. 18(1), 390–400 (2018). https://doi.org/10.1109/JSEN.2017.
2771287
Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0
International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing,
adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons
license and indicate if changes were made.
The images or other third party material in this chapter are included in the chapter's Creative
Commons license, unless indicated otherwise in a credit line to the material. If material is not
included in the chapter's Creative Commons license and your intended use is not permitted by
statutory regulation or exceeds the permitted use, you will need to obtain permission directly
from the copyright holder.
Automatic Daily Activity Schedule Planning for Simulating Smart House
183