Framework of Sensor Network for Perception of Human Behavior and Identification
Dohyung Kim, Ho‐Sub Yoon, Jaehong Kim · 2016
This paper proposes a framework of perception sensor network for enhancing the identification capability of intelligent robots. The perception sensor network is defined as a network of multiple heterogeneous sensors embedded in a space including a mobile robot. In the framework, the robot can be provided with more reliable information on users such as human location, identity and behavior because various long-term observations are available. We also design the architecture of a perception platform that combines different types of user information and produces user history. Some future plans for the implementation and evaluation of the framework are presented.