Activity supervision tool using Non-Intrusive Load Monitoring Systems
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[1] Zhong Fan,et al. Short paper: Time-dependent power load disaggregation with applications to daily activity monitoring , 2014, 2014 IEEE World Forum on Internet of Things (WF-IoT).
[2] Michel Giordani,et al. Building an Index of Activity of Inhabitants From Their Activity on the Residential Electrical Power Line , 2011, IEEE Transactions on Information Technology in Biomedicine.
[3] M. Laplante,et al. The classic measure of disability in activities of daily living is biased by age but an expanded IADL/ADL measure is not. , 2010, The journals of gerontology. Series B, Psychological sciences and social sciences.
[4] Athulan Vijayaraghavan,et al. Automated energy monitoring of machine tools , 2010 .
[5] Tommi S. Jaakkola,et al. Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation , 2012, AISTATS.
[6] Alex Rogers,et al. Non-Intrusive Load Monitoring Using Prior Models of General Appliance Types , 2012, AAAI.
[7] Manish Marwah,et al. Unsupervised Disaggregation of Low Frequency Power Measurements , 2011, SDM.
[8] Joon-Ho Lim,et al. Daily activity recognition system for the elderly using pressure sensors , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[9] Gregory D. Abowd,et al. At the Flick of a Switch: Detecting and Classifying Unique Electrical Events on the Residential Power Line (Nominated for the Best Paper Award) , 2007, UbiComp.