{"title":"基于Matlab的运动相机自动计算人体高度和面积以估计体重","authors":"A. Naufal, C. Anam, C. E. Widodo, G. Dougherty","doi":"10.1080/23080477.2021.1983940","DOIUrl":null,"url":null,"abstract":"ABSTRACT Body size is an important parameter in radiology examinations. Measurements of body size may be carried out remotely using a Kinect camera. We aim to develop a Matlab-based software that can be used to automatically measure the height and area in order to estimate the weight of a human body without direct contact. The size and depth of the image were calibrated for various object-Kinect distances. The depth image was segmented and normalized into a binary image, from which the height and area were calculated. The height and area of the body were correlated with the body weight. We analyzed the images obtained from 147 participants aged 5–70 years old and weighing 13.7–89.9 kg. The height measured using the Kinect camera had a high correlation with a ruler with R2 = 0.96 (p = 0.0096), and error percentage of 1.04%. It is also found that the height and area of the participants are well correlated with the weight of the participants with R2 of 0.453 and 0.658, respectively. A graphical user interface for automatically calculating the height and area of the human body has been successfully developed. GRAPHICAL ABSTRACT","PeriodicalId":53436,"journal":{"name":"Smart Science","volume":"10 1","pages":"68 - 75"},"PeriodicalIF":2.4000,"publicationDate":"2021-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Automated Calculation of Height and Area of Human Body for Estimating Body Weight Using a Matlab-based Kinect Camera\",\"authors\":\"A. Naufal, C. Anam, C. E. Widodo, G. Dougherty\",\"doi\":\"10.1080/23080477.2021.1983940\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT Body size is an important parameter in radiology examinations. Measurements of body size may be carried out remotely using a Kinect camera. We aim to develop a Matlab-based software that can be used to automatically measure the height and area in order to estimate the weight of a human body without direct contact. The size and depth of the image were calibrated for various object-Kinect distances. The depth image was segmented and normalized into a binary image, from which the height and area were calculated. The height and area of the body were correlated with the body weight. We analyzed the images obtained from 147 participants aged 5–70 years old and weighing 13.7–89.9 kg. The height measured using the Kinect camera had a high correlation with a ruler with R2 = 0.96 (p = 0.0096), and error percentage of 1.04%. It is also found that the height and area of the participants are well correlated with the weight of the participants with R2 of 0.453 and 0.658, respectively. A graphical user interface for automatically calculating the height and area of the human body has been successfully developed. GRAPHICAL ABSTRACT\",\"PeriodicalId\":53436,\"journal\":{\"name\":\"Smart Science\",\"volume\":\"10 1\",\"pages\":\"68 - 75\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2021-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Smart Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/23080477.2021.1983940\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Smart Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/23080477.2021.1983940","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
Automated Calculation of Height and Area of Human Body for Estimating Body Weight Using a Matlab-based Kinect Camera
ABSTRACT Body size is an important parameter in radiology examinations. Measurements of body size may be carried out remotely using a Kinect camera. We aim to develop a Matlab-based software that can be used to automatically measure the height and area in order to estimate the weight of a human body without direct contact. The size and depth of the image were calibrated for various object-Kinect distances. The depth image was segmented and normalized into a binary image, from which the height and area were calculated. The height and area of the body were correlated with the body weight. We analyzed the images obtained from 147 participants aged 5–70 years old and weighing 13.7–89.9 kg. The height measured using the Kinect camera had a high correlation with a ruler with R2 = 0.96 (p = 0.0096), and error percentage of 1.04%. It is also found that the height and area of the participants are well correlated with the weight of the participants with R2 of 0.453 and 0.658, respectively. A graphical user interface for automatically calculating the height and area of the human body has been successfully developed. GRAPHICAL ABSTRACT
期刊介绍:
Smart Science (ISSN 2308-0477) is an international, peer-reviewed journal that publishes significant original scientific researches, and reviews and analyses of current research and science policy. We welcome submissions of high quality papers from all fields of science and from any source. Articles of an interdisciplinary nature are particularly welcomed. Smart Science aims to be among the top multidisciplinary journals covering a broad spectrum of smart topics in the fields of materials science, chemistry, physics, engineering, medicine, and biology. Smart Science is currently focusing on the topics of Smart Manufacturing (CPS, IoT and AI) for Industry 4.0, Smart Energy and Smart Chemistry and Materials. Other specific research areas covered by the journal include, but are not limited to: 1. Smart Science in the Future 2. Smart Manufacturing: -Cyber-Physical System (CPS) -Internet of Things (IoT) and Internet of Brain (IoB) -Artificial Intelligence -Smart Computing -Smart Design/Machine -Smart Sensing -Smart Information and Networks 3. Smart Energy and Thermal/Fluidic Science 4. Smart Chemistry and Materials