Work Analysis Using Human Operating Data Based on a State Transition Model

Abstract

The present paper addresses the problem of analyzing the work of forklift trucks. To solve the problem, a forklift truck working model based on a state transition model is constructed using human activity sensing data, where the key point is using forklift truck operating data to determine human intention. The novel contribution of the model is its use of data that express the intention of the forklift truck operator to categorize the work of the forklift truck. By using a graph model, the proposed method can be extended to analyzing the human characteristics of forklift truck work. With this technique, some features of the graph model can be used to distinguish the skill level of the forklift truck operator.