Detecting deviations from activities of daily living routines using kinect depth maps and power consumption data
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
http://link.springer.com/content/pdf/10.1007/s12652-019-01447-3.pdf
Reference33 articles.
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3. Belley C, Gaboury S, Bouchard B, Bouzouane A (2014) An efficient and inexpensive method for activity recognition within a smart home based on load signatures of appliances. Pervasiv Mob Comput 12:58–78
4. Cho HS, Yamazaki T, Hahn M (2010) AERO: extraction of user’s activities from electric power consumption data. Consumer Electron IEEE Trans 56:2011–2018
5. Claes V, Devriendt E, Tournoy J, Milisen K (2015) Attitudes and perceptions of adults of 60 years and older towards in-home monitoring of the activities of daily living with contactless sensors: an explorative study. Int J Nurs Stud 52:134–148
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