scholarly journals PS for You: A Contactless, Remote, Cloud-Based Body Measurement Technology Powered by Artificial Intelligence

2021 ◽  
Author(s):  
Francesca DONADONI ◽  
Jayne MECHAN ◽  
Colette JOHNSON
Keyword(s):  
Artificial Intelligence ◽  
Measurement Technology ◽  
Body Measurement

Artificial intelligence X-ray measurement technology of anatomical parameters related to lumbosacral stability

2021 ◽  
pp. 110071
Author(s):  
Sheng Zhou ◽  
Hongyan Yao ◽  
Chunyu Ma ◽  
Xiaofei Chen ◽  
Wenqi Wang ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Measurement Technology ◽  
X Ray ◽  
Anatomical Parameters

scholarly journals Utilization of Unmanned Aerial Vehicle, Artificial Intelligence, and Remote Measurement Technology for Bridge Inspections

2020 ◽  
Vol 32 (6) ◽  
pp. 1244-1258
Author(s):  
Pang-jo Chun ◽  
Ji Dang ◽  
Shunsuke Hamasaki ◽  
Ryosuke Yajima ◽  
Toshihiro Kameda ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Unmanned Aerial Vehicle ◽  
Measurement Technology ◽  
Remote Measurement ◽  
Bridge Inspection ◽  
Current State ◽  
Bridge Collapse ◽  
Bridge Inspections ◽  
Aerial Vehicle

In recent years, aging of bridges has become a growing concern, and the danger of bridge collapse is increasing. To appropriately maintain bridges, it is necessary to perform inspections to accurately understand their current state. Until now, bridge inspections have involved a visual inspection in which inspection personnel come close to the bridges to perform inspection and hammering tests to investigate abnormal noises by hammering the bridges with an inspection hammer. Meanwhile, as there are a large number of bridges (for example, 730,000 bridges in Japan), and many of these are constructed at elevated spots; the issue is that the visual inspections are laborious and require huge cost. Another issue is the wide disparity in the quality of visual inspections due to the experience, knowledge, and competence of inspectors. Accordingly, the authors are trying to resolve or ameliorate these issues using unmanned aerial vehicle (UAV) technology, artificial intelligence (AI) technology, and telecommunications technology. This is discussed first in this paper. Next, the authors discuss the future prospects of bridge inspection using robot technology such as a 3-D model of bridges. The goal of this paper is to show the areas in which deployment of the UAV, robots, telecommunications, and AI is beneficial and the requirements of these technologies.

Analysis on Technology Framework of 3D Virtual Fitting Based on Network

2014 ◽  
Vol 543-547 ◽  
pp. 2961-2964 ◽  
Author(s):  
Can Yi Huang
Keyword(s):  
Model Fitting ◽  
Human Model ◽  
Measurement Technology ◽  
Body Measurement ◽  
Digital Human Model ◽  
Digital Human

This paper first introduced the demand situation and difficulties which virtual fitting technology met under the environment of network, then gave an discussion of how to realize the technology framework of virtual fitting system, and this paper Summarized that the technology can be mainly divided into several aspects: 3D body measurement technology, digital human model fitting and 3D virtual fitting simulation etc.

Prospect of the Next-Term Human Body Measurement in Japan

2000 ◽  
Vol 44 (38) ◽  
pp. 748-750
Author(s):  
Kazushige Suzuki
Keyword(s):  
Human Body ◽  
Body Shape ◽  
Measurement Data ◽  
Surface Measurement ◽  
Measurement Technology ◽  
Anatomical Landmarks ◽  
Body Parts ◽  
Body Measurement ◽  
Human Engineering ◽  
Quality Life

Research Institute of Human Engineering for Quality Life (HQL) is planning to update the current human body measurement database by collecting new body measurement data, as well as it carries out the following development of measurement technology from 1999 to 2001. I. Development of New 3-D Body Surface Measurement System (1999 ∼ 2001) a. Generation of the super accurate data and reduction of the measuring time b. Measurement of the invisible human body parts c. Extraction of anatomical landmarks II. Development of New Data Format for 3-D Human Body Shape (1999) The human body shape generated from image data has difficulty in comparing data and comprehending distribution. This project aims at conducting the research and development to make the scan result easier to analyze and utilize.

Artificial Intelligence

2009 ◽  
Author(s):  
David L. Poole ◽  
Alan K. Mackworth
Keyword(s):  
Artificial Intelligence
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