As getting elder, the senior citizens have special assistance to do their daily routine. The monitoring of the elder, especially family, relatives, or friends is quite important to prevent them from undesirables’ things. In the case of monitoring users, the ability of person recognition is quite important, especially if there are multiple people in the room. The ability of recognition people can help to notify if an abnormal situations happened to the user, in this case, is elder’s people. Based on that situation, we present EOY (Eye On You), a more ubiquitous and mobile PID solution via data fusion. The EOY aim to address the person identification problem, which means it has better quality in-person activity monitoring. As single-technology approaches usually work poorly for such needs, we propose a data fusion approach, which integrates a 3D depth camera with wearable devices equipped with inertial sensors. The scenario considered in this work is a group of people stand in front of a movable depth camera and perform some actions. Each person has a wearable device attached to his/her wrist, and each wearable device has been registered with a unique ID.
Core Technology and Application Development Based on M2M Networking