Abstract
Construction progress management and work analysis are often difficult in building interiors. In order to make progress management easier, the authors developed methods for recording the interior work environment. These methods record data using Microsoft Kinect sensors. In this paper, the authors describe methods for recording work data utilizing several Kinect sensors. The authors recorded the following types of data: 1. The work environment at the construction site 2. The shape of the building at the construction site 3. The work efficiency at the site derived from the motion capture data To record the three types of data, the authors developed a method for performing motion capture using several Kinects. In addition, a shape recognition method for identifying building materials was developed. The shape recognition method utilizes point cloud data and camera image data. The authors also studied methods for analyzing the work efficiency data on the basis of skeletal tracking information.
Original language | English |
---|---|
Pages | 314-322 |
Number of pages | 9 |
DOIs | |
Publication status | Published - 2016 |
Externally published | Yes |
Event | 33rd International Symposium on Automation and Robotics in Construction, ISARC 2016 - Auburn, United States Duration: 2016 Jul 18 → 2016 Jul 21 |
Other
Other | 33rd International Symposium on Automation and Robotics in Construction, ISARC 2016 |
---|---|
Country/Territory | United States |
City | Auburn |
Period | 16/7/18 → 16/7/21 |
Keywords
- Construction management
- Interior work
- Kinect
- Point cloud
- Skeletal tracking
- Work efficiency
ASJC Scopus subject areas
- Artificial Intelligence
- Civil and Structural Engineering
- Human-Computer Interaction
- Geotechnical Engineering and Engineering Geology