Measurement of finger joint angle using a flexible polymer sensor

Okuyama, Takeshi; Kobayashi, Kazusuke; Otsuki, Manabu; Tanaka, Mami

doi:10.3233/jae-162091

Cited by 8 publications

(3 citation statements)

References 5 publications

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“…15 Another cardiac pulse measuring system was created by Yang et al and it was proven that placing the sensor in different potions at the arm could result in a very good pulse signal and additionally, their system was showed appropriate to be used during exercise (figure 12). 132 Measuring human motion such as activity recognition and joint angle measurement helps to understand better movement-related disorders, identify if the treatment is efficient 133 and in some cases can help with the diagnosis and monitoring of the progression of the disease. 134,135 Ryu et al attached an Ecoflex/CNT sensor and they were able to detect motion of the knee joint and the hamstrings even during complex motions such as squatting and jumping.…”

Section: Applications Of Piezoresistive Elastomer Strain Sensors 41 Biomedical Applicationsmentioning

confidence: 99%

“…Measuring human motion, such as activity recognition and joint angle measurement, helps to better understand movement-related disorders and identify if the treatment is effective, and in some cases it helps with the diagnosis and monitoring of the progression of disease. , Ryu et al attached an Ecoflex/CNT sensor, and they were able to detect motion of the knee joint and the hamstrings even during complex motions such as squatting and jumping . In another study, it was shown how a natural rubber sensor-based dynamometer was used for muscle strength clinical testing, and it was an improved, reliable, lightweight, and low-cost alternative to the conventional strain gauge systems .…”

Section: Applications Of Piezoresistive Elastomer Strain Sensorsmentioning

confidence: 99%

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Piezoresistive Elastomer-Based Composite Strain Sensors and Their Applications

Georgopoulou

Clemens

2020

ACS Appl. Electron. Mater.

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Piezoresistive strain sensors dominate the field of soft elastomer sensors, with many interesting findings and applications. Nevertheless, the methods of characterizing the performance of the sensor differ in each study, leading to different conclusions and comparing with the different sensor systems is challenging. In this attempt, the most important characterization methods of the sensor response are being presented and some cases of elastomer strain sensor are being highlighted. Furthermore, the different materials options for elastomer strain sensors are being shown with a special section for the rapidly growing field of additive manufacturing and 3D printing. Except from the material choices and testing methods, different applications of the strain sensor are presented. From the biomedical field, these soft sensors find

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Section: Applications Of Piezoresistive Elastomer Strain Sensors 41 Biomedical Applicationsmentioning

confidence: 99%

Section: Applications Of Piezoresistive Elastomer Strain Sensorsmentioning

confidence: 99%

Piezoresistive Elastomer-Based Composite Strain Sensors and Their Applications

Georgopoulou

Clemens

2020

ACS Appl. Electron. Mater.

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“…Many experts and scholars have conducted in-depth research in the field of knuckle-angle measurement, including wearable-sensor-based knuckle-angle-measurement methods and vision-based knuckle-angle-measurement methods. Okuyama et al developed a finger-joint-angle-measurement system based on flexible polymer sensors [ 1 ]. The system measures the flexion/extension movement of fingers by installing flexible polymer sensors on the surfaces of fingers, which can realize the detection of joint-angle changes during daily grasping movements.…”

Section: Introductionmentioning

confidence: 99%

Research on Monocular-Vision-Based Finger-Joint-Angle-Measurement System

Yan

Zhong

Dong

2022

Sensors

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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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