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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Main Author: SEN, Sougata
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2016
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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
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spelling sg-smu-ink.sis_research-46002020-12-07T08:24:29Z Pervasive physical analytics using multi-modal sensing SEN, Sougata 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. 2016-01-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/3599 info:doi/10.1109/COMSNETS.2016.7439998 https://doi.org/10.1109/COMSNETS.2016.7439998 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Monitoring Sensors Context Mobile communication Energy consumption Biomedical monitoring Buildings Databases and Information Systems Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Monitoring
Sensors
Context
Mobile communication
Energy consumption
Biomedical monitoring
Buildings
Databases and Information Systems
Software Engineering
spellingShingle Monitoring
Sensors
Context
Mobile communication
Energy consumption
Biomedical monitoring
Buildings
Databases and Information Systems
Software Engineering
SEN, Sougata
Pervasive physical analytics using multi-modal sensing
description 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.
format text
author SEN, Sougata
author_facet SEN, Sougata
author_sort SEN, Sougata
title Pervasive physical analytics using multi-modal sensing
title_short Pervasive physical analytics using multi-modal sensing
title_full Pervasive physical analytics using multi-modal sensing
title_fullStr Pervasive physical analytics using multi-modal sensing
title_full_unstemmed Pervasive physical analytics using multi-modal sensing
title_sort pervasive physical analytics using multi-modal sensing
publisher Institutional Knowledge at Singapore Management University
publishDate 2016
url https://ink.library.smu.edu.sg/sis_research/3599
https://doi.org/10.1109/COMSNETS.2016.7439998
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