A Vision-Based Gestural Guidance Interface for Mobile Robotic Platforms

Abstract

This paper describes a gestural guidance interface that controls the motion of a mobile platform using a set of predefined static and dynamic hand gestures inspired by the marshalling code. Images captured by an onboard color camera are processed at video rate in order to track the operator’s head and hands. The camera pan, tilt and zoom are adjusted by a fuzzy-logic controller so as to track the operator’s head and maintain it centered and properly sized within the image plane. Gestural commands are defined as two-hand motion patterns, whose features are provided, at video rate, to a trained neural network. A command is considered recognized once the classifier has produced a series of consistent interpretations. A motion-modifying command is then issued in a way that ensures motion coherence and smoothness. The guidance system can be trained online.