Determination of Anthropometric Lengths of Body Segments Using Machine Vision Systems
Anthropometric measurements are essential in various fields, such as sports, the automotive industry, clothing, health care, biomechanics, ergonomics, and gait analysis. However, the data collection process for these measurements is costly and time-consuming, and the data collected are not always pr...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Machines |
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| Online Access: | https://www.mdpi.com/2075-1702/11/3/369 |
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| author | Juan C. Arellano-González Hugo I. Medellín-Castillo Raúl I. Hernández-Molinar Héctor Plascencia-Mora Alejandro González-de Alba |
| author_facet | Juan C. Arellano-González Hugo I. Medellín-Castillo Raúl I. Hernández-Molinar Héctor Plascencia-Mora Alejandro González-de Alba |
| author_sort | Juan C. Arellano-González |
| collection | DOAJ |
| description | Anthropometric measurements are essential in various fields, such as sports, the automotive industry, clothing, health care, biomechanics, ergonomics, and gait analysis. However, the data collection process for these measurements is costly and time-consuming, and the data collected are not always precise and accurate. In this paper, some of the most widely reported machine vision systems (MVSs) are evaluated to determine the anthropometric length of body segments (BSs) used in gait analysis. The aim is to evaluate the performance of the MVSs and identify the most appropriate vision approach, in terms of accuracy, cost, speed, and computing performance. For this purpose, five BSs of the lower limb were selected and measured using both the MVS and the conventional manual anthropometric measurement (MAM) techniques. The results show that the MVSs represent an excellent alternative to measure the anthropometric parameters corresponding to the BSs, with some advantages in terms of sampling process time, precision, and equipment requirements. |
| first_indexed | 2024-03-11T06:16:43Z |
| format | Article |
| id | doaj.art-dfc4310820ee469eb71529891da8cb15 |
| institution | Directory Open Access Journal |
| issn | 2075-1702 |
| language | English |
| last_indexed | 2024-03-11T06:16:43Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machines |
| spelling | doaj.art-dfc4310820ee469eb71529891da8cb152023-11-17T12:15:32ZengMDPI AGMachines2075-17022023-03-0111336910.3390/machines11030369Determination of Anthropometric Lengths of Body Segments Using Machine Vision SystemsJuan C. Arellano-González0Hugo I. Medellín-Castillo1Raúl I. Hernández-Molinar2Héctor Plascencia-Mora3Alejandro González-de Alba4Facultad de Ingeniería, Universidad Autónoma de San Luis Potosí, San Luis Potosí 78290, MexicoFacultad de Ingeniería, Universidad Autónoma de San Luis Potosí, San Luis Potosí 78290, MexicoFacultad de Ingeniería, Universidad Autónoma de San Luis Potosí, San Luis Potosí 78290, MexicoDivisión de Ingenierías Campus Irapuato Salamanca (DICIS), Universidad de Guanajuato, Guanajuato 36885, MexicoTecnologico de Monterrey, Campus Querétaro, Querétaro 76130, MexicoAnthropometric measurements are essential in various fields, such as sports, the automotive industry, clothing, health care, biomechanics, ergonomics, and gait analysis. However, the data collection process for these measurements is costly and time-consuming, and the data collected are not always precise and accurate. In this paper, some of the most widely reported machine vision systems (MVSs) are evaluated to determine the anthropometric length of body segments (BSs) used in gait analysis. The aim is to evaluate the performance of the MVSs and identify the most appropriate vision approach, in terms of accuracy, cost, speed, and computing performance. For this purpose, five BSs of the lower limb were selected and measured using both the MVS and the conventional manual anthropometric measurement (MAM) techniques. The results show that the MVSs represent an excellent alternative to measure the anthropometric parameters corresponding to the BSs, with some advantages in terms of sampling process time, precision, and equipment requirements.https://www.mdpi.com/2075-1702/11/3/369anthropometric measurementsmachine vision systems (MVS)body segment (BS)human gait |
| spellingShingle | Juan C. Arellano-González Hugo I. Medellín-Castillo Raúl I. Hernández-Molinar Héctor Plascencia-Mora Alejandro González-de Alba Determination of Anthropometric Lengths of Body Segments Using Machine Vision Systems Machines anthropometric measurements machine vision systems (MVS) body segment (BS) human gait |
| title | Determination of Anthropometric Lengths of Body Segments Using Machine Vision Systems |
| title_full | Determination of Anthropometric Lengths of Body Segments Using Machine Vision Systems |
| title_fullStr | Determination of Anthropometric Lengths of Body Segments Using Machine Vision Systems |
| title_full_unstemmed | Determination of Anthropometric Lengths of Body Segments Using Machine Vision Systems |
| title_short | Determination of Anthropometric Lengths of Body Segments Using Machine Vision Systems |
| title_sort | determination of anthropometric lengths of body segments using machine vision systems |
| topic | anthropometric measurements machine vision systems (MVS) body segment (BS) human gait |
| url | https://www.mdpi.com/2075-1702/11/3/369 |
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