Non-obstructive room-level locating system in home environments using activity fingerprints from smartwatch-Reference-Cited by-同舟云学术

Non-obstructive room-level locating system in home environments using activity fingerprints from smartwatch

Published:2015 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing - UbiComp '15
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Author:

Lee Seungwoo¹,Kim Yungeun²,Ahn Daye³,Ha Rhan³,Lee Kyoungwoo²,Cha Hojung²

Affiliation:

1. Yonsei University, Seoul, Korea and Korea Electronics Technology Institute, Seongnam-si, Korea

2. Yonsei University, Seoul, Korea

3. Hongik University, Seoul, Korea

Funder

National Research Foundation of Korea grant funded by the Korean government, Ministry of Education, Science and Technology

Samsung Electronics Co.

Energy Efficiency & Resources, Korea Institute of Energy Technology Evaluation and Planning, Korea

Publisher

ACM Press

Reference39 articles.

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3. A. R. Kaushik and B. G. Celler. 2007. Characterization of PIR detector for monitoring occupancy patterns and functional health status of elderly people living alone at home.Technol Health Care15, 4: 273--288.

4. P. Sánchez, M. Jiménez, F. Rosique, B. Álvarez, and A. Iborra. 2011. A framework for developing home automation systems: from requirements to code.J Syst Software84, 6: 1008--1021.

5. S. Lee, D. Ahn, S. Lee, R. Ha, and H. Cha. 2014. Personalized energy auditor: Estimating personal electricity usage. InThe 11th IEEE International Conference on Pervasive Computing and Communications(PerCom 2014), 44--49.

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