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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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 |
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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 |
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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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SEN, Sougata |
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SEN, Sougata |
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SEN, Sougata |
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Pervasive physical analytics using multi-modal sensing |
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Pervasive physical analytics using multi-modal sensing |
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Pervasive physical analytics using multi-modal sensing |
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Pervasive physical analytics using multi-modal sensing |
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Pervasive physical analytics using multi-modal sensing |
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pervasive physical analytics using multi-modal sensing |
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Institutional Knowledge at Singapore Management University |
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2016 |
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https://ink.library.smu.edu.sg/sis_research/3599 https://doi.org/10.1109/COMSNETS.2016.7439998 |
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