Pervasive physical analytics using multi-modal sensing

Pervasive physical analytics using multi-modal sensing

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 abo...

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Bibliographic Details
Main Author: SEN, Sougata
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2016
Subjects:
Monitoring
Sensors
Context
Mobile communication
Energy consumption
Biomedical monitoring
Buildings
Databases and Information Systems
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/3599
https://doi.org/10.1109/COMSNETS.2016.7439998
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Institution: Singapore Management University
Language: English
Description
Summary: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.

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