Conference paper
Wellness Sensor Network for modeling Activity of Daily Livings – Proposal and Off-Line Preliminary Analysis
Innovation, Department of Technology, Management and Economics, Technical University of Denmark1
Design, Innovation, Department of Technology, Management and Economics, Technical University of Denmark2
Department of Technology, Management and Economics, Technical University of Denmark3
Navrachna University4
The implementation of the smart home system being motivated by technology push rather than demand pull. This impractical approach has disappointed many users especially in term of feasibility and affordability in conjunction with many other issues. The present had developed a practical smart home solution, named wellness protocol.
Present research is to extend the work on wellness protocol's smart home system, to implement in the context of economical dense sensing, targeting to be practically used by an individual and to understand human lifestyle for activity pattern. The system uses large sensory data for training and testing, the oldest dataset of this system comes from the year 2013.
In smart aging to generate the behavioral pattern, more the datasets better the accuracy of behavioral pattern recognition and forecasting.
Language: | English |
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Publisher: | IEEE |
Year: | 2019 |
Pages: | 1-5 |
Proceedings: | 4th International Conference on Computing Communication and Automation |
ISBN: | 1538669471 , 153866948x , 9781538669471 , 9781538669488 , 1538669463 , 153866948X and 9781538669464 |
ISSN: | 26427354 |
Types: | Conference paper |
DOI: | 10.1109/CCAA.2018.8777700 |
Dense Sensing Economical Sensing Home appliances Monitoring Protocols Senior citizens Sensors Servers Smart Home Smart homes Wellness Sensor Network activity pattern assisted living behavioral pattern daily livings economical dense sensing home automation human lifestyle off-line preliminary analysis pattern recognition practical smart home solution protocols smart aging smart home system technology push wellness protocol wellness sensor network wireless sensor networks