Perceiving intimacy from both robot view and first-person view in dyadic human interaction

Abstract

In this paper, we propose a framework to perceive the level of intimacy in dyadic human interactions from both robot perspective and first-person perspective. First of all, for catching the insight of human interaction with three different degrees of intimacy persons, namely normal, familiar and close, we have done a preliminary user study of social interaction. Next, from the field of social science and our study, we design four types of social interaction features, consisting of proxemics, non-verbal, verbal, and temporal features to categorize the intimacy level from observations, but including three of them reaches the best result. Finally, to validate our work here, several experiments have been conducted, and the results show that the framework perceives the aforementioned intimacy level with accuracy up to 86.11% in average.

Development of robotic rover with controller & vision system

“…The rover is equipped with a vision system by applying a drone camera, so the rover does not need specific software to monitor its conditions. It just needs to monitor safety more easily by using the vision system via the remote camera in First Person View (FPV) recording video or taking photos, manages the zoom new, or turn on and off flash torch at any time and most importantly, the rover can let us know the relative position and manage to obtain information [14,15].…”