A roadmap to the design of a personal digital life coach

Abstract

The timely and exact detection of abnormal events on the life of someone is one of the cornerstone of for successful Ambient Assisted Living strategies, either because these events need to be avoided, or because it is necessary that these events occur as a mean to implement a program for training a particular lifestyle. Technology has given us a plethora of sensors and actuators that can be used to deploy an infrastructure that would allow a successful detection of daily living activities, but often this would imply to use technology intensive, privacy invading solutions that despite its efficiency would render them non-adoptable by users. In this paper, we will explore the opportunities and challenges that AAL poses in the field of identification of daily activities, and how such a solution can be designed as to be an useradoptable part of a monitoring and training of lifestyles.