Pervasive physical analytics using multi-modal sensing
Publication Type
Conference Proceeding Article
Publication Date
1-2016
Abstract
With the gradual increase in the number of individually owned mobile and wearable devices, as well as increase in the number of publicly available sensing devices, automatic & unobtrusive monitoring of Activities of Daily Living (ADLs) is gradually becoming possible. In this work, we discuss about the important trade-off between energy, accuracy and non-personalization that has to be considered while building commercially successful ADL monitoring systems. We then describe two ADL monitoring systems that we have built which addresses technical challenges pertaining to building ADL monitoring systems. We also outline our proposed next steps in this research.
Keywords
Monitoring, Sensors, Context, Mobile communication, Energy consumption, Biomedical monitoring, Buildings
Discipline
Databases and Information Systems | Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
2016 8th International Conference on Communication Systems and Networks: COMSNETS 2016, Bangalore, India, January 5-10
First Page
7439998-1
Last Page
2
ISBN
9781467396226
Identifier
10.1109/COMSNETS.2016.7439998
Publisher
IEEE
City or Country
Piscataway, NJ
Citation
SEN, Sougata.
Pervasive physical analytics using multi-modal sensing. (2016). 2016 8th International Conference on Communication Systems and Networks: COMSNETS 2016, Bangalore, India, January 5-10. 7439998-1-2.
Available at: https://ink.library.smu.edu.sg/sis_research/3599
Additional URL
https://doi.org/10.1109/COMSNETS.2016.7439998