Pervasive physical analytics using multi-modal sensing

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.