Intelligent Speech Based Interactive Communication Between Mobile Cranes and Their Human Operators
In this paper, an overview of human machine interactive communication for controlling lifting devices is presented, covering also the integration with vision and sensorial systems. Following a general concept, and motivation towards intelligent human machine communication through artificial neural networks, selected methods are proposed, which provide further directions both of recent as well as of future research on human machine interaction. The aim of the experimental research is to design a prototype of an innovative interaction system, equipped with a speech interface in a natural language, augmented reality and interactive manipulators with force feedback. The presented research offers the possibility of motivating and inspiring further development of the intelligent speech interaction system and methods that have been elaborated in this paper.
ICANN