Poster: Demultiplexing Activities of Daily Living and Reducing Overhead of Storage in IoT enabled Smarthomes

With the major advancement of technologies in everyday life, it is assumed that within few years almost every digital product will be internet enabled for smart living. Smart home system consists of IoT sensors, is a popular example, support inhabitants lifestyle choices by sensing and measuring the daily activities without putting any constraints. This research proposal will try to address some challenges and possible research path in IoT enabled smart home research. It focuses primarily on two broad categories, first, properly de-multiplexing sensor generated events streams to identify complex activities to improve daily living such as employing voice assistance or prompting service accurately. Secondly, leveraging and integrating IoT research with data mining and storage systems where we can handle the huge amount of data generated by IoT sensors and intelligently store and analyze them.