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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Main Authors: Yongfei Feng, Mingwei Zhong, Fangyan Dong
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Sensors
Subjects:
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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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