Accuracy Assessment of Joint Angles Estimated from 2D and 3D Camera Measurements

Crombrugge, Izaak Van; Sels, Seppe; Ribbens, Bart; Steenackers, Gunther; Penne, Rudi; Vanlanduit, Steve

doi:10.3390/s22051729

Cited by 10 publications

(6 citation statements)

References 33 publications

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“…Each researcher strives to make his concept more optimal, easier to use, and cheaper. Therefore, the use of 2D technologies such as video cameras [ 29 , 30 ] is being actively introduced. On one hand, it is easier and cheaper, but still there is no protocol for such measurements [ 28 ].…”

Section: Resultsmentioning

confidence: 99%

The Automatization of the Gait Analysis by the Vicon Video System: A Pilot Study

Smirnova

Khamatnurova

Kharin

et al. 2022

Sensors

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The quality of modern measuring instruments has a strong influence on the speed of diagnosing diseases of the human musculoskeletal system. The research is focused on automatization of the method of gait analysis. The study involved six healthy subjects. The subjects walk straight. Each subject made several gait types: casual walking and imitation of a non-standard gait, including shuffling, lameness, clubfoot, walking from the heel, rolling from heel to toe, walking with hands in pockets, and catwalk. Each type of gait was recorded three times. For video fixation, the Vicon Nexus system was used. A total of 27 reflective markers were placed on the special anatomical regions. The goniometry methods were used. The walk data were divided by steps and by step phases. Kinematic parameters for estimation were formulated and calculated. An approach for data clusterization is presented. For this purpose, angle data were interpolated and the interpolation coefficients were used for clustering the data. The data were processed and four cluster groups were found. Typical angulograms for cluster groups were presented. For each group, average angles were calculated. A statistically significant difference was found between received cluster groups.

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Section: Resultsmentioning

confidence: 99%

The Automatization of the Gait Analysis by the Vicon Video System: A Pilot Study

Smirnova

Khamatnurova

Kharin

et al. 2022

Sensors

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show abstract

“…More specifically, the VIBE 3D pose estimation algorithm is employed to extract the 3D joint coordinates of the human body. The extraction of 3D pose information is essential for the accurate computation of joint angles due to the distortion the angles suffer from, when they are projected into the 2D image plane [44]. Next, the joint angles (e.g., flexion, abduction, etc.)…”

Section: Implementation Detailsmentioning

confidence: 99%

Automatic Ergonomic Risk Assessment Using a Variational Deep Network Architecture

Chatzis

Konstantinidis

Dimitropoulos

2022

Sensors

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Ergonomic risk assessment is vital for identifying work-related human postures that can be detrimental to the health of a worker. Traditionally, ergonomic risks are reported by human experts through time-consuming and error-prone procedures; however, automatic algorithmic methods have recently started to emerge. To further facilitate the automatic ergonomic risk assessment, this paper proposes a novel variational deep learning architecture to estimate the ergonomic risk of any work-related task by utilizing the Rapid Entire Body Assessment (REBA) framework. The proposed method relies on the processing of RGB images and the extraction of 3D skeletal information that is then fed to a novel deep network for accurate and robust estimation of REBA scores for both individual body parts and the entire body. Through a variational approach, the proposed method processes the skeletal information to construct a descriptive skeletal latent space that can accurately model human postures. Moreover, the proposed method distills knowledge from ground truth ergonomic risk scores and leverages it to further enhance the discrimination ability of the skeletal latent space, leading to improved accuracy. Experiments on two well-known datasets (i.e., University of Washington Indoor Object Manipulation (UW-IOM) and Technische Universität München (TUM) Kitchen) validate the ability of the proposed method to achieve accurate results, overcoming current state-of-the-art methods.

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“…After calibration, the joint angles were calculated similar to other publications (Kim et al, 2021;Van Crombrugge et al, 2022) for the remaining frames using the fixed hip coordinates, followed by the application of the previously calculated offset values. The joint angle values from XSens were exported from the MVN Analyze Pro software.…”

Section: Data Processingmentioning

confidence: 99%

Evaluation of upper body postural assessment of forklift driving using a single depth camera

Elango

Petravic

Hanson

2022

Proceedings of the 7th International Digital Human Modeling Symposium -

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Observational postural assessment methods which are commonly used in industry are time consuming and have issues of inter-and intra-rater reliability. Computer vision (CV) based methods have been proposed, but they have mainly been tested inside lab environments. This study aims to develop and evaluate an upper body postural assessment system in a real industry environment using a single depth camera and OpenPose for the task of forklift driving. The results were compared with XSens, an Inertial Measurement Unit (IMU) based system. Data from three forklift drivers performing seven indoor and outdoor tasks were recorded with a depth camera and XSens sensors. The data were then analyzed with OpenPose with additional custom processing. The angles calculated by the computer vision system showed small errors compared to the XSens system and generally followed the trend of the XSens system joint angle values. However, the results after applying ergonomic thresholds were vastly different and the two systems rarely agreed. These findings suggest that the CV system needs further study to improve the robustness on self-occlusion and angle calculations. Also, XSens needs further study to assess its consistency and reliability in industrial environments.

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Accuracy Assessment of Joint Angles Estimated from 2D and 3D Camera Measurements

Cited by 10 publications

References 33 publications

The Automatization of the Gait Analysis by the Vicon Video System: A Pilot Study

The Automatization of the Gait Analysis by the Vicon Video System: A Pilot Study

Automatic Ergonomic Risk Assessment Using a Variational Deep Network Architecture

Evaluation of upper body postural assessment of forklift driving using a single depth camera

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