Smart Home Technologies-Reference-Cited by-同舟云学术

Smart Home Technologies

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 6th International Conference on Information Technology: IoT and Smart City - ICIT 2018
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Author:

Balakrishnan Sumathi¹,Vasudavan Hemalata²,Murugesan Raja Kumar¹

Affiliation:

1. Taylor's University, Jalan Taylors, Subang Jaya, Malaysia

2. Asia Pacific University of Technology & Innovation, Kuala Lumpur, Malaysia

Publisher

ACM Press

Reference61 articles.

1. Global Smart Home Market to Exceed $53.45 Billion by 2022: Zion Market Research:.https://globenewswire.com/news-release/2018/01/03/1281338/0/en/Global-Smart-Home-Market-to-Exceed-53-45-Billion-by-2022-Zion-Market-Research.html. Accessed: 2018-6-6.

2. Yang, H., Lee, H., and Zo, H., 2017. User acceptance of smart home services:An extension of the theory of planned behavior. Industrial Management & Data Systems, 117(1), 68--89.

3. Li, M., Gu, W., Chen, W., He, Y., Wu, Y., and Zhang, Y. 2018. Smart Home: Architecture, Technologies and Systems. Procedia computer science. 131, 393--400. DOI= https://doi.org/10.1016/j.procs.2018.04.219.

4. Hui, T.K., Sherratt, R.S., and Sánchez, D.D. 2017. Major requirements for building Smart Homes in Smart Cities based on Internet of Things technologies. Future Generation Computer Systems. 76, 358--369. DOI= https://doi.org/10.1016/j.future.2016.10.026

5. Wu, C.L., Tseng, Y.S., and Fu, L.C. 2013. Spatio-temporal feature enhanced semi-supervised adaptation for activity recognition in IoT-based context-aware smart homes. In Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing. 460--467.

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