Research on Monocular-Vision-Based Finger-Joint-Angle-Measurement System
The quantitative measurement of finger-joint range of motion plays an important role in assessing the level of hand disability and intervening in the treatment of patients. An industrial monocular-vision-based knuckle-joint-activity-measurement system is proposed with short measurement time and the...
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MDPI AG
2022-09-01
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Online Access: | https://www.mdpi.com/1424-8220/22/19/7276 |
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author | Yongfei Feng Mingwei Zhong Fangyan Dong |
author_facet | Yongfei Feng Mingwei Zhong Fangyan Dong |
author_sort | Yongfei Feng |
collection | DOAJ |
description | The quantitative measurement of finger-joint range of motion plays an important role in assessing the level of hand disability and intervening in the treatment of patients. An industrial monocular-vision-based knuckle-joint-activity-measurement system is proposed with short measurement time and the simultaneous measurement of multiple joints. In terms of hardware, the system can adjust the light-irradiation angle and the light-irradiation intensity of the marker by actively adjusting the height of the light source to enhance the difference between the marker and the background and reduce the difficulty of segmenting the target marker and the background. In terms of algorithms, a combination of multiple-vision algorithms is used to compare the image-threshold segmentation and Hough outer- and inner linear detection as the knuckle-activity-range detection method of the system. To verify the accuracy of the visual-detection method, nine healthy volunteers were recruited for experimental validation, and the experimental results showed that the average angular deviation in the flexion/extension of the knuckle was 0.43° at the minimum and 0.59° at the maximum, and the average angular deviation in the adduction/abduction of the knuckle was 0.30° at the minimum and 0.81° at the maximum, which were all less than 1°. In the multi-angle velocimetry experiment, the time taken by the system was much less than that taken by the conventional method. |
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issn | 1424-8220 |
language | English |
last_indexed | 2024-03-09T21:11:06Z |
publishDate | 2022-09-01 |
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series | Sensors |
spelling | doaj.art-66b5560d7b274c7eb5501cda14a8cd7a2023-11-23T21:46:28ZengMDPI AGSensors1424-82202022-09-012219727610.3390/s22197276Research on Monocular-Vision-Based Finger-Joint-Angle-Measurement SystemYongfei Feng0Mingwei Zhong1Fangyan Dong2Faculty of Mechanical Engineering & Mechanics, Ningbo University, Ningbo 315211, ChinaFaculty of Mechanical Engineering & Mechanics, Ningbo University, Ningbo 315211, ChinaFaculty of Mechanical Engineering & Mechanics, Ningbo University, Ningbo 315211, ChinaThe quantitative measurement of finger-joint range of motion plays an important role in assessing the level of hand disability and intervening in the treatment of patients. An industrial monocular-vision-based knuckle-joint-activity-measurement system is proposed with short measurement time and the simultaneous measurement of multiple joints. In terms of hardware, the system can adjust the light-irradiation angle and the light-irradiation intensity of the marker by actively adjusting the height of the light source to enhance the difference between the marker and the background and reduce the difficulty of segmenting the target marker and the background. In terms of algorithms, a combination of multiple-vision algorithms is used to compare the image-threshold segmentation and Hough outer- and inner linear detection as the knuckle-activity-range detection method of the system. To verify the accuracy of the visual-detection method, nine healthy volunteers were recruited for experimental validation, and the experimental results showed that the average angular deviation in the flexion/extension of the knuckle was 0.43° at the minimum and 0.59° at the maximum, and the average angular deviation in the adduction/abduction of the knuckle was 0.30° at the minimum and 0.81° at the maximum, which were all less than 1°. In the multi-angle velocimetry experiment, the time taken by the system was much less than that taken by the conventional method.https://www.mdpi.com/1424-8220/22/19/7276monocular visionhuman joint angle measurementvisual detection methodhand disability |
spellingShingle | Yongfei Feng Mingwei Zhong Fangyan Dong Research on Monocular-Vision-Based Finger-Joint-Angle-Measurement System Sensors monocular vision human joint angle measurement visual detection method hand disability |
title | Research on Monocular-Vision-Based Finger-Joint-Angle-Measurement System |
title_full | Research on Monocular-Vision-Based Finger-Joint-Angle-Measurement System |
title_fullStr | Research on Monocular-Vision-Based Finger-Joint-Angle-Measurement System |
title_full_unstemmed | Research on Monocular-Vision-Based Finger-Joint-Angle-Measurement System |
title_short | Research on Monocular-Vision-Based Finger-Joint-Angle-Measurement System |
title_sort | research on monocular vision based finger joint angle measurement system |
topic | monocular vision human joint angle measurement visual detection method hand disability |
url | https://www.mdpi.com/1424-8220/22/19/7276 |
work_keys_str_mv | AT yongfeifeng researchonmonocularvisionbasedfingerjointanglemeasurementsystem AT mingweizhong researchonmonocularvisionbasedfingerjointanglemeasurementsystem AT fangyandong researchonmonocularvisionbasedfingerjointanglemeasurementsystem |