A measurement system toward to skill analysis of wall painting using a roller brush

Abstract

In this study, we describe a measurement system aiming to skill analysis of wall painting work using a roller brush. Our proposed measurement system mainly comprises an RGB-D sensor and a roller brush with sensors attached. To achieve our requirements in understanding roller operation, we developed an algorithm that is suitable to estimate the roller part pose with high accuracy. We also show a method to generate a swept map that can be used for both visualization and evaluation. In the proof experiment, a dataset for actual painting work was collected using the proposed measurement system. Then, the dataset was analyzed, and the quality of the work was quantitatively evaluated by comparing skilled and unskilled persons.