A Study of Laundry Tidiness: Laundry State Determination Using Video and 3D Sensors

HIROSE Daiki, MIYOSHI Tsutomu, MAIYA Kazuki

Abstract: 
In recent years, housework automation has become popular with the rise of robot technology. However, tidying laundry is still manual. 
Automation by machine is difficult, because clothing is an irregular complex shape. 
We thought it can handle the laundry by combining depth information and color image. 
The purpose of this study is to develop a laundry state determination system. 
This study define state of laundry by dividing into 4 states, and develop laundry state determination system using RGB image and 3D information. 
The results of experiment of the proposed method suggest that the system was possible to accurately determination the state of the laundry by using depth information and RGB camera image with Kinect.

Keywords: Laundry Tidiness, State Determination, Kinect