Wellness Sensor Network for modeling Activity of Daily Livings – Proposal and Off-Line Preliminary Analysis

The implementation of the smart home system being motivated by technology push rather than demand pull. This impractical approach has disappointed many users especially in term of feasibility and affordability in conjunction with many other issues. The present had developed a practical smart home solution, named wellness protocol. Present research is to extend the work on wellness protocol's smart home system, to implement in the context of economical dense sensing, targeting to be practically used by an individual and to understand human lifestyle for activity pattern. The system uses large sensory data for training and testing, the oldest dataset of this system comes from the year 2013. In smart aging to generate the behavioral pattern, more the datasets better the accuracy of behavioral pattern recognition and forecasting.

I. Introduction and Related Works

On the rising number of people chose to stay at home alone, including the elderlies and physically challenged people. The elderlies and physically challenged patients preferred not to live with caregiver due to their privacy concern, as much as their wary of the high cost of hiring a home nurse. In parallel to these, global statistical figures have shown a sharp increase of several imperative issues, such as world aging population [1] and aggregating number of people suffering from dementia [2]. These hitches have motivated the worldwide development of smart home projects, to produce an automation home and monitoring system to assist occupants to maintain their daily living problems.